<<

Materials and Structures DOI 10.1617/s11527-014-0383-7

ORIGINAL ARTICLE

Influence of asphaltene content on mechanical bitumen behavior: experimental investigation and micromechanical modeling

Lukas Eberhardsteiner • Josef Fu¨ssl • Bernhard Hofko • Florian Handle • Markus Hospodka • Ronald Blab • Hinrich Grothe

Received: 14 January 2014 / Accepted: 15 July 2014 RILEM 2014

Abstract The description of the mechanical behav- from 0 to 30 wt% served both as identification as well ior of bitumen on the basis of its microstructure allows as validation experiments for the developed micro- its improvement and moreover the development of mechanical model. An excellent agreement between equivalent or even more sustainable materials with experimental results and model predictions indicates similar properties. For this reasons, a micromechan- that the model is able to reproduce significant ical model for bitumen is proposed, allowing the microstructural effects, such as interactions between description of the viscoelastic bitumen behavior asphaltenes, which strongly influence the bitumen depending on characteristics of different material behavior. This model is therefore expected to contrib- phases. The definition and demarcation, respectively, ute to a better understanding of the influence of the of material phases is based on SARA fractions, and bitumen microstructure on the macroscopic mechan- polarity considerations that support the assumption of ical behavior and subsequently be able to describe the asphaltene micelle structures within a contiguous mechanical consequences of microstructural effects matrix and the assumed interactions between them. like aging. A sufficient number of static creep tests on artificially composed bitumen samples with asphaltene contents Keywords Bitumen Microstructure Multiscale SARA fractions Viscoelasticity DSR

L. Eberhardsteiner (&) B. Hofko M. Hospodka R. Blab Institute of Transportation - Research Center for Road Engineering, Vienna University of Technology, 1 Introduction Gusshausstraße 28/230/3, 1040 Vienna, Austria e-mail: [email protected] In times of a predictable shortage of crude oil, J. Fu¨ssl researchers all over the world focus on the develop- Institute for Mechanics of Materials and Structures, ment of alternatives to products, like Vienna University of Technology, Karlsplatz 13/202, bitumen, a product of crude oil and mainly 1040 Vienna, Austria e-mail: [email protected] used as binder in hot mix (HMA). Due to its natural origin, there is a significant variability in its F. Handle H. Grothe composition and material behavior depending on the Institute of Materials Chemistry, Vienna University of crude oil source. Moreover, a huge number of Technology, Getreidemarkt 9/BC/02, 1060 Vienna, Austria molecules with very different chemical structure build e-mail: fl[email protected] up bitumen and makes it one of the most complex Materials and Structures building materials. For this reason, a detailed under- standing of the mechanical behavior triggered by the microstructure of bitumen is a challenging task, but needed to support sustainable use and repeated recycling. In recent years, multiscale modeling came up to Fig. 1 Maltene fractions (saturates, aromatics and resins) from chromatography according to modified ASTM Standard predict the mechanical behavior of composite mate- 4124 [2] rials like wood, concrete, bone or HMA [12, 14, 20, 21, 27, 37] on the basis of observations of their microstructures. Lackner et al. [21, 22], Aigner et al. [1], Pichler and Lackner [31] and Pichler et al. [33] They account for about 5–20 wt% of paving grade introduced such a model to predict the viscoelastic bitumen. material behavior of asphalt concrete. Thereby, the Confocal Laser Scanning Microscopy (CLSM) or material structure is defined through five scales of Atomic Force Microscopy (AFM) are imaging meth- observation and appropriate homogenization schemes ods, which allow to access the microstructure of link the mechanical properties from the lowest (bitu- materials like bitumen. From the results of these tests, men) scale up to the macrolevel. At each observation a heterogeneous characteristic of the bitumen micro- scale, the characteristics of the constituents are structure, consisting of micelle-like structures embed- derived either from homogenizing the material behav- ded into a matrix, could be confirmed [16]. The origin ior at the scale below or are obtained from identifi- of these heterogeneity is subject of an ongoing debate cation experiments at the respective scale. in bitumen research [25]. While some authors believe Characteristics of the constituents like morphology, that waxes are responsible for the microstructure of volume content or interaction between the material bitumen [26, 30], in this work asphaltenes—together phases are considered in the framework of continuum with resins and aromatics—are assumed to form micromechanics. This homogenization process leads micelle structures [3, 5, 10, 11, 25, 43], which strongly to an overall material characterization of asphalt contribute to the stiffness of bitumen. First experi- concrete. As logical and consistent next step, the ments on bitumen with an artificially reduced saturate extension of this model to the microstructure of content have shown an increase in stiffness and bitumen is proposed in this paper. therefore support this assumption. The most common procedure to identify the Based on these assumptions, within this paper, a constituents of bitumen chemically is saturates, aro- micromechanical model allowing for the mechanical matics, resins and asphaltenes (SARA) fractionation. description of the bitumen behavior depending on its At first, bitumen is separated in , the fraction composition is presented. First, identification experi- soluble in n-heptane, and asphaltenes, the non-soluble ments on artificial bitumen with varying asphaltene parts [35]. Using chromatographic separation methods content were conducted and evaluated. In conse- according to ASTM Standard 4124 [2], (see also [6, quence, the developed micromechanical model is 25]) maltenes can be further separated into saturates, presented and discussed in detail. In addition, the basic aromatics and resins [25, 36]. Saturates look like a continuum micromechanical relations are provided. colorless or slightly colored oily liquid at room Then, model predictions and test results are compared temperature (see Fig. 1) and represent between about to validate the developed model approach, before, 5 and 15 wt% of paving grade bitumen [25]. Aromatics finally, conclusions are drawn. and resins contribute to a large extend to bitumen (30–45 wt% each). While aromatics form a yellow to red oily liquid at room temperature (see Fig. 1) and are 2 Experiments mainly responsible for the viscous behavior of bitu- men, resins form a black solid and play an important As outlined, bitumen can be separated into asphaltenes role in stabilizing asphaltenes within bitumen [25]. At and maltenes because of a difference in solubility in room temperature, asphaltenes form a black powder n-heptane. While maltenes form a relatively low- and are responsible for the black color of bitumen. viscous matrix, asphaltenes appear as highly viscous Materials and Structures

Table 1 Experimental program for CR tests on artificially Torque M mixed bitumen DSR spindle Asphaltene content Test temperature -5 C ?5 C ?15 C Cover Bitumen sample

0 0 vol% ••• 5 wt% 4.18 vol% ••• 10 wt% 7.77 vol% • 15 wt% 12.32 vol% •• 20 wt% 17.36 vol% • 30 wt% 26.71 vol% • DSR base plate Fig. 2 CR test using DSR experimental equipment and very stiff inclusions dispersed in the maltene 100 0% Asphaltene phase. In order to identify the influence of micro- 90 4.18% Asphaltene 7.77% Asphaltene 80 structural changes, artificial bitumens were produced 12.32% Asphaltene 70 17.36% Asphaltene from a paving grade bitumen 70/100 with 7.79 vol% 26.71% Asphaltene asphaltene content. After separating maltenes and 60 50 Abrupt stiffness asphaltenes by n-heptane and evaporating the solvent, gain J[1/MPa] 40 0% Asphaltene asphaltenes and maltenes were dissolved in . 30

By mixing these solutions again with different 20 4.18% Asphaltene proportions and evaporating the toluene, asphaltenes 10 7.77% Asphaltene 0 can be ‘‘re-dispersed’’ in the maltene phase. In that 0 200 400 600 800 1000 1200 1400 1600 1800 way, artificial bitumens with varying asphaltene t [s]

2 content from 0 to 30 wt% were produced. Taking 10 0% Asphaltene the density of asphaltenes and maltenes into account, 1 this is equivalent to 0–26.71 vol% (see Table 1). In the 10 4.18% Asphaltene 7.77% Asphaltene 0 following, only vol% are used and labelled as %. 10 12.32% Asphaltene

17.36% Asphaltene The material behavior of these mixtures was iden- −1 0% Asphaltene 10 26.71% Asphaltene

tified through a so-called Creep–Recovery (CR) test, a log J[1/MPa] −2 static shear creep test performed on the experimental 10 0% Asphaltene 4.18% Asphaltene 7.77% Asphaltene setup of a dynamic shear rheometer (DSR) (see Fig. 2). −3 10 12.32% Asphaltene 17.36% Asphaltene Instead of an oscillating loading through the upper 26.71% Asphaltene −4 10 plate, a constant torque M is applied statically for 0 200 400 600 800 1000 1200 1400 1600 1800 1,800 s, so that a predefined maximum shear stress t [s] 3 s ¼ 2M=pr , with r ¼ d=2, is obtained. The loading Fig. 3 Results from CR tests on artificially mixed bitumen at plate has a diameter of d ¼ 25 mm and the bitumen ?5 C on a linear (upper) and a logarithmic scale (lower) film has a constant height of h ¼ 1 mm. Within a conditioning phase of 600 s, the samples were tempered to a predefined test temperature in the range The full experimental program is given in Table 1. of -5to?15 C. From the strain c; Figure 3 shows the results of the CR tests for artificial bitumen samples with various asphaltene r contents at ?5 C. As shown in this figure, increasing cðtÞ¼ uðtÞð1Þ p asphaltene content causes a decrease in creep compli- with the measured deflection uðtÞ, the creep compli- ance and hence stiffer material behavior. In addition, ance is obtained according to the creep rate dJ=dt decreases with increasing asphal- tene content, until almost elastic behavior is reached at cðtÞ an asphaltene content of 26.71 %. It is noticeable that JexpðtÞ¼ : ð2Þ s there is an abrupt increase in stiffness, when only low Materials and Structures amounts of asphaltenes (4.18 %) are added to the maltene phase (see Fig. 3). This already indicates that by adding asphaltenes a structure in bitumen is introduced, which strongly affects the mechanical behavior. These tests also served as identification experi- ments to determine the material behavior of the maltene phase, as will be described in Sect. 4.

3 Micromechanical model of bitumen Fig. 4 Schematic illustration of the polarity evolution over the different material phases in bitumen In order to be able to understand the mechanical behavior of composite materials (like bitumen), taking a look at the material’s microstructure seems essential. A modeling technique capable of taking the compo- to the microstructure of bitumen is the very focus of sition of a material into account, is multiscale the present paper. modeling using the framework of continuum microm- echanics [18, 19, 37, 41, 44, 45] on each scale of 3.1 Concept of material phases observation. There, a material is understood as a micro-heterogenous body filling a macro-homoge- Thereby, the main challenge is an appropriate choice neous representative volume element (RVE). Quasi- of number and characteristics of material phases. A homogenous subdomains (material phases) [41, 44, too detailed representation of the microstructure is not 45] with known physical properties, like volume useful due to little knowledge of the structural fractions and elastic/viscoelastic properties, are rea- composition and missing properties of single phases. sonably chosen, as to describe the complex micro- Nevertheless, a sufficient number of material phases structure within an RVE. The size of the must be differentiated and their interactions consid- inhomogeneities defined by the material phases has ered to capture the main structural effects influencing to be significantly smaller than the characteristic the mechanical behavior of bitumen. It is assumed that length of the RVE, and, the size of the RVE again has a structural concept based on the SARA fractions can to be smaller than the characteristic dimension of the meet this requirements. Accordingly bitumen is sep- structure built up by the material. arated in saturates, aromatics, resins and asphaltenes Considering the elastic/viscoelastic behavior of the (SARA fractions) [25, 35, 36]. As the separation material phases within the RVE, as well as the volume within chromatographic methods is based on the fact, fractions, their characteristic shapes and their interac- that chemically different constituents differ in polar- tions, the homogenized mechanical behavior of the ity, the demarcation of the individual phases as well as overall material can be estimated in terms of a structural effects in bitumen can be explained by correlation between homogeneous deformations act- qualitative polarity distributions over a representative ing on the boundary of the RVE and resulting volume of bitumen (see Fig. 4). While the maltene (average) stresses. phase exhibits a constant level of polarity overall (see If a single phase has a heterogeneous microstruc- grey dashed line in Fig. 4), its constituents differ in ture itself, RVEs can be introduced within this phase in polarity, rising from saturates via aromatics to resins. order to estimate its mechanical behavior. Naturally, When adding highly polar asphaltenes, resins and the dimensions of these RVEs have to be significantly aromatics adhere to the asphaltenes and form a smaller than the RVE built up by the phase itself, and solvation layer (mantle) around them leading to a imply again smaller inhomogeneities with smaller micelle structure [25], which smothers the difference characteristic lengths, and so on. This approach leads in polarity between asphaltenes and surrounding to a multistep homogenization scheme, as employed maltenes and thus helps to stabilize the asphaltenes for asphalt in [1, 21, 22, 31, 33]. To extend the model within the maltene matrix (see black line in Fig. 4). Materials and Structures

Z t Interaction between Micelle mantles Asphaltenes riðtÞ¼ riðt sÞ : e_iðsÞ d s ¼ ½ðri ei tÞð3Þ Resins and Aromatics 1 Saturates

where e_i denotes the temporal derivative of the strain tensor of material phase i, riðt sÞ is the fourth-order tensorial relaxation function, s is the integration Interaction between Micelle mantles variable related to the time instant when e_i was Asphaltenes Resins and Aromatics imposed onto the material phase, and represents the Saturates Stieltjes convolution operator. Thereby, riðt ¼ sÞ refers to instantaneous elasticity, while riðt [ sÞ refers to viscoelastic deformations. For reasons of conve- Fig. 5 Microstructural concept of bitumen based on SARA nience, Eq. (3) is represented in the Laplace Carson fractions and polarity considerations (upper) and derived (LC) domain defined through frequency variable p, structural RVE concept for micromechanical modeling (lower) with the LC transformation reading [8],

Z1 f ðpÞ¼Cff ðtÞg ¼ pf^ðpÞ¼p f ðtÞeptdt; ð4Þ These micelle mantles interact with each other dependent on the volume fraction of asphaltenes and 0 form a network-like structure (see Fig. 5, upper), where f ðpÞ is the LC transform of the time-dependent which could serve as a feasible explanation for the function f ðtÞ and f^ðpÞ is the Laplace transform of f ðtÞ: abrupt stiffness gain seen in Fig. 3. Inserting Eq. (3) into Eq. (4) yields an algebraic The identified material phases, building the micro- equation in the LC domain, given as structure of bitumen, are implemented in a homoge- nization scheme predicting the overall mechanical ri ðpÞ¼ri ðpÞ : ei ðpÞ: ð5Þ behavior of bitumen (see Fig. 5, lower). An RVE of As bitumen is an isotropic material, isotropic behavior bitumen is built up by a contiguous matrix of can also be assumed for the material phases within the aromatics and resins (labelled by suffix ‘‘arom’’) with RVE, so that their relaxation tensors read embedded spherical saturate inclusions (suffix ‘‘sat’’). While asphaltenes (‘‘aspha’’) also form spherical ri ðpÞ¼3Ki ðpÞIvol þ 2li ðpÞIdev; ð6Þ inclusions in the maltene matrix [25], the network with I as the volumetric part of the fourth-order structure formed by the micelle mantles is represented vol unity tensor I, with components I 1=3d d and by an interaction phase (‘‘ip’’) appearing as needles, vol;ijkl ¼ ij kl being oriented in all directions. Kronecker delta dij (dij ¼ 1ifi ¼ j, and dij ¼ 0if As identification experiments are only available for i 6¼ j), while Idev represents the deviatoric part of the maltenes (saturates, aromatics and resins), in a first fourth-order unity tensor I (Idev ¼ I Ivol). The step saturate inclusions and aromatics-resin matrix are components of I are defined as Iijkl ¼ 1=2ðdikdjlþ assumed to exhibit the same viscoelastic behavior (see dildjkÞ. The bulk modulus of all material phases is also Sect. 3.2). Furthermore, asphaltenes and their independent of p, and hence identical to the elastic mantles are considered as different phases with respect bulk modulus, Ki Ki. Due to the incompressibility to volume content and morphology but assumed to of bitumen and its constituents (Poisson ratio m ¼ 0:5), show the same viscoelastic response because of acting Ki is assumed to be magnitudes higher than the elastic together in the micelle structure. modulus approximating infinity. The shear modulus li is defined as li ¼ 1=Ji , with the shear compliance 3.2 Description of viscoelastic behavior Ji according to the power-law model, best applicable to describe the viscoelastic material behavior of As described before, the constituents of bitumen bitumen [1], reading exhibit viscoelastic behavior, for which the relation JðpÞ¼J þ J ðpsÞki Cð1 þ k Þ; ð7Þ between stresses and strains can be written as follows i 0;i a;i i Materials and Structures

homogenization of an RVE of bitumen can be carried out on the basis of a p-related, continuos sequence of

E=1/ J0 formally elastic problems of the type of Eq. 9, delivering homogenized relaxation tensors RbitðpÞ, reading as k τ Ja (t/ ) RbitðpÞ¼ 1 faspha fip fsat raromðpÞ: h ;arom þ fasphar ðpÞ : I þ P ðpÞ : aspha sph 1 rasphaðpÞraromðpÞ þ fipripðpÞ Fig. 6 Power-law model Z2p Zp h ;arom : I þ Pcyl ð#; u; pÞ : J i u¼0 #0 where 0;i is the elastic shear compliance of phase , and Ja;i and ki are viscous parameters (see Fig. 6). 1 sin #d#du ripðpÞraromðpÞ h 4p ;arom 3.3 Homogenization scheme for bitumen þ fsatr ðpÞ: I þ P ðpÞ : sat sph 1 Due to the formally linear elastic constitutive Eq. 5, rsatðpÞraromðpÞ : the superposition principle is valid in the LC domain resulting in LC-transformed macroscopic strains 1 faspha fip fsat I hi Ei ðpÞ being proportional to LC-transformed micro- 1 f : I P;arom p : r p r p scopic strains in phase i, reading þ aspha þ sph ð Þ asphað Þ aromð Þ Z2p Zp h ei ðpÞ¼Ai ðpÞ : EbitðpÞ; ð8Þ ;arom þ fip I þ Pcyl ð#; u; pÞ : where A ðpÞ denotes the LC-transformed fourth-order u¼0 #¼0 i strain concentration tensor of phase i. Equation 8 sin #d#du r ðpÞr ðpÞ 1 refers to the viscoelastic correspondence principle [4, ip arom 4p hi 24, 34, 38]. Insertion of Eq. 8 into Eq. 5 and 1 1 þ f I þ P;aromðpÞ : r ðpÞr ðpÞ considering formally elastic matrix-inclusion prob- sat sph sat arom lems of the Eshelby–Laws type [9, 23] define the LC- ð10Þ transformed homogenized relaxation tensor, in gen- eral reading as For the definition of the fourth-order Hill tensors ;arom ;arom X Psph and Pcyl , which depend on the relaxation ;est ;0 ;0 1 R ¼ frrr : I þ Pr rr r tensor rarom of the surrounding phase (resins and ()r aromatics), see [9] and [13]. The integrals in Eq. 10 X 1 ;0 ;0 1 account for needles representing the interaction phase : fs I þ Ps : rs r ; ð9Þ s oriented in all directions and can be solved very efficiently with the help of Stroud’s integration with f and r as the volume fraction and relaxation r r formula [32, 40] tensor of phase r. Both sums are taken over all phases Z2p Zp hi appearing in the heterogeneous RVE. The character- 1 ;arom istic shape of phase r is considered through the fourth- I þ Pcyl ð#;u;pÞ : ripðpÞraromðpÞ order Hill tensor P;0, which depends on the relaxation u¼0 #¼0 Xn h tensor r;0 of the surrounding phase. The interaction sin#d#du ;arom ¼ xð#j;ujÞ I þ Pcyl ð#j;uj;pÞ : between phases is described by a Mori–Tanaka 4p ij¼0 scheme [28, 42], typical for composite materials 1 r ðpÞr ðpÞ : consisting of a contiguous matrix with inclusions. ip arom Considering the relaxation function in Eq. 6, the ð11Þ Materials and Structures

For the scalar weights xð#j; ujÞ see Appendix 1, the – The same phenomenon can be reported for values ;arom J 5 determination of Pcyl ð#j; uj; pÞ is given in Appen- of the viscous parameter a;aspha lower than 10 dix 2. (1/MPa) (two magnitudes lower than Ja;malt; see In order to describe the creep response of bitumen Fig. 8b). In addition, a tendency to very stiff, in a physically relevant format, the LC-transformed elastic, and hence unrealistic bitumen behavior can creep tensor has to be determined, using be seen for decreasing values of Ja;aspha (see Fig. 8a). J ¼½R 1; ð12Þ bit bit – Generally, the viscous parameter kaspha has less influence on the overall viscous behavior than from which the component J4444ðpÞ can be back- transformed into the time domain employing the Ja;aspha. The predicted behavior becomes again Gaver–Stehfest algorithm as outlined in [39] to obtain unrealistic (very stiff, elastic), when kaspha tends to the shear creep compliance JbitðtÞ allowing a compar- 0 (see Fig. 9a). Values for kaspha lower than 0.4 ison with the measured experimental result JexpðtÞ cause only insignificant changes in the homoge- according to Eq. 2. nized creep behavior (see Fig. 9b).

3.4 Influence of asphaltene behavior on bitumen Besides the behavior of the material phases, the creep properties volumetric composition of an RVE plays an important role in predicting the homogenized creep response. As outlined in Sect. 3.1, the material behavior of While the volume fractions of the asphaltenes are asphaltenes and the interaction phase are assumed to known from assembling the artificial bitumen, the exhibit the same viscoelastic behavior. While the volume fractions of the interaction phase, fip, has to be parameters J0, Ja and k for maltenes can be determined determined from back-calculation (see Sect. 4 for directly from identification experiments (as presented details). Therefore, the influence of the needle content in Sect. 2), the material behavior of the asphaltene on the predicted behavior is also analyzed in a micelles can not be identified directly. Therefore, the parameter study. While the remaining model input material properties are back-calculated from experi- parameters are kept constant, fip is varied within the mental results on a best-fit basis (see Sect. 4 for range given in Table 2. details). Figure 10 shows the expected increase in stiffness In advance, the influence of the asphaltene behavior for increasing needle content. In addition, an abrupt on the overall creep properties of bitumen is analyzed stiffness gain can be observed, when adding only low to find out realistic magnitudes of the material amounts of needles comparable to the measured properties and to develop an idea of the influence of stiffness increase in Fig. 3. This provides a first these properties on the bitumen behavior. Therefore, evidence that the proposed multiscale model for the asphaltene parameters J0;aspha, Ja;aspha and kaspha are bitumen is able to predict the viscoelastic behavior varied separately within the ranges given in Table 2, reliably. In the following section, the power-law while all other model input parameters are kept model is validated and multiscale predictions and test constant. results are compared. The basic conclusions of this parameter study are: – Low values for the elastic compliance 3 Table 2 Upper and lower boundaries for parameter study of J0;aspha 10 (1/MPa) (two magnitudes lower J0;aspha, Ja;aspha , kaspha and fip than J0;malt), describing a very stiff material behavior of asphaltenes compared to maltenes, Parameter Lowest value Highest value Increment

have no significant influence on the predicted -6 -1 J0;aspha (1/MPa 10 110 bitumen creep response (see Fig. 7a). Figure 7b -7 -3 -1 J ; (1/MPa 10 10 10 describes the homogenized creep compliance J at a aspha kaspha (–) 0.1 0.9 0.1 1,800 s for different values of J0;aspha, showing f (%) 0 10 1 insignificant changes below 103. ip Materials and Structures

80 80

70 70

60 60

50 50 J 0,aspha=1 40 40 J 0,aspha=0.1 30 30 J [1/MPa] J [1/MPa]

20 J 0,aspha=0.01 20

10 10 J0,aspha=0.000001 0 (a)0 (b) −10 −10 −5 −4 −3 −2 −1 0 0 200 400 600 800 1000 1200 1400 1600 1800 10 10 10 10 10 10

t [s] log J 0,aspha [1/MPa]

6 1 Fig. 7 Effect of a variation of J0;aspha on predicted bitumen behavior (10 J0;aspha 1, by 10 )

80 80 (a) J =0.01 (b) 70 a,aspha 70

60 60

50 50 J =0.001 40 a,aspha 40

30 30 J =0.0001 J [1/MPa]

J [1/MPa] a,aspha 20 20 J =0.00001 10 a,aspha 10

0 0 Ja,aspha=0.000001 −10 −10 −6 −5 −4 −3 −2 −1 0 200 400 600 800 1000 1200 1400 1600 1800 10 10 10 10 10 10 t [s] log J a,aspha [1/MPa]

6 2 1 Fig. 8 Effect of a variation of Ja;aspha on predicted bitumen behavior (10 Ja;aspha 10 ,by10 )

80 80

70 (a) 70 (b)

60 60

50 50

40 40

30 k =0.9 30 J [1/MPa] aspha J [1/MPa]

20 20

10 10

0 0 kaspha=0.1 −10 −10 0 200 400 600 800 1000 1200 1400 1600 1800 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9

t [s] k aspha [-]

Fig. 9 Effect of a variation of kaspha on predicted bitumen behavior (0:1 kaspha 0:9, by 0:1)

4 Comparison of model predictions and test results are identified through minimizing the error—using nonlinear least square fitting—between experimen- In Sect. 3.2, the power-law model, which is used to tally obtained creep compliances Jexp from CR describe the viscoelastic response of bitumen and its identification tests and predicted creep compliances constituents is presented. The parameters J0, Ja and k Jmod in the time domain, reading [15] Materials and Structures

80 80 (a) (b) 70 70

60 60

50 fip=0% 50

40 Abrupt stiffness 40 gain

30 J[1/MPa] 30 J [1/MPa ]

20 20

10 10

0 0 fip=10% −10 −10 0 200 400 600 800 1000 1200 1400 1600 1800 0 1 2 3 4 5 6 7 8 9 10 t [s] f ip [%]

Fig. 10 Effect of a variation of the needle content fip on predicted bitumen behavior (0 % fip 10 %,by1%)

90 16 CR test 0% Asphaltene test 80 power law 14 4.18% Asphaltene test 7.77% Asphaltene test 70 12 12.32% Asphaltene test 17.36% Asphaltene test 60 10 Multiscale model

50 R2=0.99 8 0% Asphaltene

40 J[1/MPa] 6 4.18% Asphaltene J [1/MPa] 7.77% Asphaltene 30 4 20 2 12.32% Asphaltene 10 0 0 200 400 600 800 1000 1200 1400 1600 1800 0 0 200 400 600 800 1000 1200 1400 1600 1800 t [s] t [s]

1 10 4.18% Asphaltene Fig. 11 CR-experimental results for maltene phase of bitumen at ?5 C and fitted power-law model 7.77% Asphaltene 0 10 12.32% Asphaltene

17.36% Asphaltene Table 3 Power-law parameters for maltene phase at -5, ?5 −1

log J[1/MPa] 10 and ?15 C 0% Asphaltene test 4.18% Asphaltene test 7.77% Asphaltene test −2 -5 C ?5 C ?15 C 10 12.32% Asphaltene test 17.36% Asphaltene test Multiscale model J0;malt (1/MPa) 0.0980 0.2652 2.433 0 200 400 600 800 1000 1200 1400 1600 1800 Ja;malt (1/MPa) 0.0076 0.0766 1.205 t [s] kmalt (–) 0.8124 0.9386 1.027 Fig. 12 Comparison of experimental results and multiscale R2 0.99 0.99 0.99 model predictions for asphaltene contents of 4.18, 7.7, 12.32 and 17.36 at.% ? 5 C on a linear (upper) and a logarithmic scale (lower) t k Jmod ¼ J0 þ Ja : ð13Þ s predict the creep response of bitumen using back- This model is able to describe the experimentally calculated asphaltene properties from experimental obtained maltene behavior almost perfectly, as shown- results for the artificial bitumen with 4.18 % asphalt- for example for the maltene phase at ?5 C in Fig. 11. enes. The parameters J0;aspha and Ja;aspha lie within the The obtained power-law parameters at -5, ?5 and range, where they only influence the homogenized ?15 C are given in Table 3. material behavior insignificantly (see dotted lines in With the maltene material behavior at hand, the Figs. 7b and 8b in Sect. 3.4). To assure reliable model multiscale model introduced in Sect. 3.1 is able to predictions, attention has to be paid when determining Materials and Structures

4 Table 4 Correlation between asphaltene content and needle 10 content representing interactions between micelles -5 °C

2 Asphaltene Content of interaction 10 +5 °C content (%) phase fip (%)

0 10 +15 °C 4.18 1 J [1/MPa] Maltene test +5°C 7.77 3.4 4.18% Asphaltene test +5°C −2 10 Maltene test −5°C 12.32 11 4.18% Ashaltene −5°C test Maltene test +15°C 4.18% Ashaltene test +15°C 17.36 30 Multiscale model −4 10 0 200 400 600 800 1000 1200 1400 1600 1800

45 t [s]

40 Fig. 14 Experimental results and model predictions for 35 artificial bitumen with 4.18 % asphaltene content at -5, ?5 30 and ?15 C 25 20 y=0.4037*exp(0.2559*x) 15 0 Ea 1 1 10 JðTÞ¼J exp ; ð14Þ

Interaction phase content [%] R T T0 5

0 where E is the activation energy, R is the gas constant, 0 2 4 6 8 10 12 14 16 18 a Asphaltene content [%] with R ¼ 8:31 J/Mol/K, and T0 is the reference temperature, it seems likely that its constituents also Fig. 13 Exponential relation between asphaltene and content of exhibit Arrhenius-type viscoelastic behavior. Hence, interaction phase the temperature dependent properties of asphaltenes can be estimated from the change of behavior of the kaspha (see Fig. 9). Therefore, the coefficient of maltene phase at -5to?15 C. The model input determination, R2, was used as an indicator for the parameters (material behavior of all constituents, degree of accordance. In addition, the volume fraction volumetric composition and needle content) at hand, of the interaction phase is determined on a best-fit the overall creep response can be predicted for basis also using R2 to evaluate the degree of accor- different temperatures (see Fig. 14) showing a dance. In Fig. 12, model-predicted and experimental remarkable accordance of model predictions and results are given for asphaltene contents of 4.18, 7.77, experimental results and, thus, indicating reasonably 12.32 and 17.36 %. Besides the known volume assumed values of the volume content of the interac- fraction of the asphaltenes, the content of the interac- tion phase in Table 4. tion phase was the only input parameter varied. A very good accordance between experimental results and the viscoelastic response predicted by the 5 Conclusion proposed micromechanical model can be seen. The back-determined contents of the interaction phase are By investigating bitumen chemically and rheologi- given in Table 4. When correlating asphaltene and cally, bitumen microstructure was identified to better needle content, an exponential relation can be found understand how bitumen reacts mechanically. A first for (realistic) asphaltene contents between 0 and approach of predicting the viscoelastic reponse of 17.36 % (see Fig. 13), not unlikely for molecular bitumen respecting the volumetric composition and agglomeration processes in nature. the mechanical behavior of its constituents has been proposed in this manuscript. The material properties of the maltene phase is In order to observe bitumen microstructure exper- known for temperatures between -5 and ?15 C, as imentally, artificial bitumens with varying asphaltene given in Table 3. Since the temperature dependency of content from 0 to 26.71 vol% were produced and the material behavior of bitumen follows an Arrhe- analyzed in CR tests, a static shear creep experimental nius-type law of the form setup. As expected, an increase in asphaltene content Materials and Structures resulted in decreasing creep compliance and hence (saturates, aromatics and resins) very well. While the stiffer material behavior. Surprisingly, adding only model parameters J0;arom, Ja;arom and karom of the low amounts of asphaltenes (from 0 to 4.18 vol%) maltene phase could be determined directly from CR caused an abrupt increase in stiffness indicating tests, the material behavior of the asphaltenes was structural effects within bitumen. back-calculated from experimental results from bitu- A comparison between the original and the artifi- men artificially composed at different asphaltene cially composed bitumen samples show similar reac- contents on a best-fit basis using the coefficient of tions in terms of linear viscoelastic behavior. Together determination R2 as an indicator for the degree of with AFM analysis showing clear evidence of resto- accordance. With the material parameters at hand, the ration of characteristic microstructural features known multiscale model was used to predict the viscoelastic from bituminous binders (bee structures within a response of bitumen showing remarkable accordance continuous matrix), this indicates that the artificial between experimental and predicted results for vari- binders are valid bitumen-like materials and, thus, ous temperatures. could reasonably be used for further mechanical Because of lack of artificial bitumen produced from analysis. These arguments will be presented in detail other bitumens, only the microstructure of one specific in further publication. paving grade bitumen 70/100 was studied in the course Due to its capability of respecting the volumetric of this work. To examine the microstructure of other composition of a composite material and the physical bitumens and hence validate the presented microme- properties of its constituents—in other words the chanical model appears as interesting and essential microstructure of a composite—micromechanical task for further research. Moreover, a detailed iden- modeling was chosen to predict the viscoelastic tification of the behavior of the material phases (e.g. behavior of bitumen. In the framework of continuum saturates) would lead to a further improvement of the micromechanics, a homogenization scheme on the accuracy of model predictions. In addition, the inves- basis of the constituents of bitumen identified in tigation and description of aging effects could be a SARA fractionation was derived taking micelle useful extension of the presented model. structures into account. Thereby, bitumen was con- sidered as a four-phase composite, consisting of a Acknowledgments The authors gratefully acknowledge contiguous maltene matrix with embedded spherical financial support from the Austrian Research Promotion Agency (FFG) and the sponsors Pittel?Brausewetter, Swietelsky and asphaltene and saturate inclusions. In addition, nee- Nievelt through project ‘‘OEKOPHALT—Physical–chemical dles built up by highly polar aromatics and resins fundamentals on bitumen aging’’. They further appreciate the oriented in all directions were implemented to repre- support of Daniel Großegger and Thomas Riedmayer with sample sent the interaction between asphaltene micelles. The preparation and execution of CR tests. volume content of these needles was found to correlate with the asphaltene content in an exponential way, corresponding to a typical rate of growth in natural Appendix 1: Stroud’s integration formula molecular bonding processes. The power-law model turned out to describe the The scalar weights xð#j; ujÞ in Eq. 11 and the viscoleastic creep response of the maltene phase orientations #j and uj are defined in Table 5.

Table 5 Scalar weights xð#j; ujÞ and orientations #j and uj for Stroud’s integration [32] j 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 sinð#jÞ cosðujÞþr þr r r þt þt t t þs þs s s 100 sinð#jÞ sinðujÞþs s þs s þr r þr r þt t þt t 010 cosð#jÞþt þt þt þt þs þs þs þs þr þr þr þr 001 x # ; u 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 ð j jÞ 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 pffiffiffi pffiffiffi with r ¼ 1=2, s ¼ð 5 þ 1Þ=4 and t ¼ð 5 1Þ=4 Materials and Structures

Appendix 2: Transformation of local Hill’s shape The components qij are the elements of the matrix q in tensors into global frame Q, reading as

To sum up the tensors in Stroud’s integration formula qij ¼½e1; e2; e3; i ¼ 1...3; j ¼ 1...3; ð18Þ ;arom [32, 40] in Eq. 11, the tensors Pcyl ð#j; uj; pÞ have to be given in the same base frame. While analytical expressions for Pcyl are available in a local base frame [9, 13] coinciding with the principal axis of the ellipsoid (see Fig. 15), the corresponding components of P in ½6 6 ‘‘Kelvin–Mandel’’ matrix notation, reading as [7, 17, 29]

2 pffiffiffi pffiffiffi pffiffiffi 3 P1111 P1122 P1133 ffiffiffi2P1123 ffiffiffi2P1131 ffiffiffi2P1112 6 p p p 7 6 P2211 P2222 P2233 ffiffiffi2P2223 ffiffiffi2P2231 ffiffiffi2P2212 7 6 p p p 7 6 Pffiffiffi3311 Pffiffiffi3322 Pffiffiffi3333 2P3323 2P3331 2P3312 7 P ¼ 6 p p p 7; ð15Þ 6 2P 2P 2P 2P 2P 2P 7 4 pffiffiffi 2311 pffiffiffi 2322 pffiffiffi 2333 2323 2331 2312 5 pffiffiffi2P3111 pffiffiffi2P3122 pffiffiffi2P3133 2P3123 2P3131 2P3112 2P1211 2P1222 2P1233 2P1223 2P1231 2P1212

2 3 2 3 cos u cos # sin u can be transformed very efficiently from local frames 4 5 4 5 to one global frame through [29] e1 ¼ sin u cos # ; e2 ¼ cos u ; 2 sin u 3 0 ef ef ð19Þ P ðu;#; pÞ¼Qðu;#ÞP ðpÞQtðu;#Þ; cos u sin # cyl;global cyl;local 4 5 ð16Þ e3 ¼ sin u sin # : cos u with Qtðu;#Þ as the transpose of Qðu;#Þ, and

2 3 2 2 2 2ffiffiffi 2ffiffiffi 2ffiffiffi 6 q11 q12 q13 p q12q13 p q13q11 p q11q12 7 6 2 2 2 7 6 7 6 2 2 2 2ffiffiffi 2ffiffiffi 2ffiffiffi 7 6 q21 q22 q23 p q22q23 p q23q21 p q21q22 7 6 2 2 2 7 6 7 Qðu;#Þ¼6 2 2 2 2ffiffiffi 2ffiffiffi 2ffiffiffi 7: ð17Þ 6 q31 q32 q33 p q32q33 p q33q31 p q31q32 7 6 ffiffiffi ffiffiffi ffiffiffi 2 2 2 7 6 p p p 7 6 ffiffiffi2q21q31 ffiffiffi2q22q32 ffiffiffi2q23q33 q23q32 þ q33q22 q21q33 þ q31q23 q22q31 þ q32q21 7 4 p p p 5 pffiffiffi2q31q11 pffiffiffi2q32q12 pffiffiffi2q33q13 q33q12 þ q13q32 q31q13 þ q11q33 q32q11 þ q12q31 2q11q21 2q12q22 2q13q23 q13q22 þ q23q12 q11q23 þ q21q13 q12q21 þ q22q11 Materials and Structures

bitumen emulsions using confocal laser scanning micros- er = N copy. J Microsc 204(3):252–257 12. Fritsch A, Hellmich C (2007) ’Universal’ microstructural patterns in cortical and trabecular, extracellular and ex- eϕ travacular bone materials: Micromechanics-based predic- ψ n tion of anisotropic elasticity. J Theor Biol 244:597–620 ϑ 13. Fritsch A, Dormieux L, Hellmich C, Sanahuja J (2009a) Mechanical behaviour of hydroxyapatite biomaterials: an e3 eϑ experimentally validated micromechanical model for elas- ticity and strength. J Biomed Mater Res A 88A:149–161 14. Fritsch A, Hellmich C, Dormieux L (2009b) Ductile sliding 0 e2 between mineral crystals followed by rupture of collagen crosslinks: experimentally supported micromechanical e1 explanation of bone strength. J Theor Biol 260(2):230–252 15. Fu¨ssl J, Lackner R, Eberhardsteiner J (2013) Creep response of bituminous mixtures—rheological model and micro- structural interpretation. Meccanica. doi:10.1007/s11012- 013-9775-y 16. Handle F, Fu¨ssl J, Neudl S, Grossegger D, Eberhardsteiner L, Hofko B, Hospodka M, Blab R, Grothe H (2013) Fig. 15 Cylindrical inclusion representing the interaction of Understanding the microstructure of bitumen: a CLSM and micelles [14] fluorescence approach to model bitumen ageing behavior. In: Proceedings to 12th ISAP International Conference on Asphalt Pavements, Raleigh, USA, 2014 17. Helnwein P (2001) Some remarks on the compressed matrix References representation of symmetric second-order and fourth-order tensors. Comput Methods Appl Mech Eng 190(22–23): 1. Aigner E, Lackner R, Pichler C (2009) Multiscale prediction 2753–2770 of viscoelastic properties of asphalt concrete. J Mater Civ 18. Hill R (1963) Elastic properties of reinforced solids: some Eng (ASCE) 21:771–780 theoretical principles. J Mech Phy Solids 11:357–362 2. ASTM (2010) ASTM D4124-01—standard test methods for 19. Hill R (1965) Continuum micro-mechanics of elastoplastic separation of asphalt into four fractions. American Society polycrystals. J Mech Phy Solids 13(2):89–101 for Testing and Materials International, West Conshohocken 20. Hofstetter K, Hellmich C, Eberhardsteiner J (2005) Devel- 3. Bearsley S, Forbes A, Haverkamp R (2004) Direct obser- opment and experimental validation of a continuum mi- vation of the asphaltene structure in paving-grade bitumen cromechanics model for the elasticity of wood. Eur J Mech using confocal laser-scaning microscopy. J Microsc 24:1030–1053 215(2):149–155 21. Lackner R, Blab R, Ja¨ger A, Spiegl M, Kappl K, Wistuba M, 4. Beurthey S, Zaoui A (2000) Structural morphology and Gagliano B, Eberhardsteiner J (2004) Multiscale modeling relaxation spectra of viscoelastic heterogeneous materials. as the basis for reliable predictions of the behavior of multi- Eur J Mech 19(1):1–16 composed materials. In: Topping B, Soares CM (eds) Pro- 5. Bodan A (1982) Polyquasispherical structure of petroleum gress in engineering computational technology, vol 8. Saxe- . Chem Technol Fuels Oils 18:614–618 Coburg Publications, Stirling, pp 153–187 6. Corbett L (1969) Composition of asphalt based on generic 22. Lackner R, Spiegl M, Eberhardsteiner J, Blab R (2005) Is fractionation, using solventdeasphaltening, elution-adsorp- the low-temperature creep of asphalt mastic independent of tion chromatography and densimetric characterization. Anal filler shape and mieralogy? Arguments from multiscale Chem 41:576–579 analsysis. J Mater Civ Eng (ASCE) 17(5):485–491 7. Cowin S (2003) A recasting of anisotropic poroelasticity in 23. Laws N (1977) The determination of stress and strain con- matrices of tensor components. Transp Porous Media 50:35–56 centrations at an ellipsoidal inclusion in an anisotropic 8. Donolato C (2002) Analytical and numerical inversion of material. J Elasticity 7(1):91–97 the laplace-carson transform by a differential method. 24. Laws N, McLaughlin R (1978) Self-consistent estimates for Comput Phys Commun 145:298–309 the viscoelastic creep compliances of composite materials. 9. Eshelby J (1957) The determination of the elastic field of an Proc R Soc Lond Ser A 359:251–273 ellipsoidal inclusion, and related problems. Proc R Soc 25. Lesueur D (2009) The colloidal structure of bitumen: con- Lond Ser A 241:376–396 sequences on the rheology and on the mechanisms of bitu- 10. Espinat D, Rosenberg E, Scarsella M, Barre L, Fenistein D, men modification. Adv Colloid Interface Sci 145:42–82 Broseta D (1998) Colloidal structural evolution from stable 26. Lu X, Langton M, Olofsson P, Redelius P (2005) Wax to flocculated state of asphaltene solutions and heavy morphology in bitumen. J Mater Sci 40:1893–1900 crudes. Planum Press, New York, pp 145–201 27. Mang H, Pichler B, Bader T, Fu¨ssl J, Jia X, Fritsch A, 11. Forbes A, Haverkamp R, Robertson T, Bryant J, Bearsley S Eberhardsteiner J, Hellmich C (2012) Quantification of (2001) Studies of the microstructure of polymer-modified structural and material failure mechanisms across different Materials and Structures

length scales: from instability to brittle-ductile transitions. 36. Rostler F (1965) Fractional composition: analytical and Acta Mech 223:1937–1957 functional significance, vol 2. Interscience Publishers, New 28. Mori T, Tanaka K (1973) Average stress in matrix and York average elastic energy of materials with misfitting inclu- 37. Scheiner S, Hellmich C (2009) Continuum microvisco- sions. Acta Metall 21(5):571–574 elasticity model for aging basic creep of early-age concrete. 29. Nadeau J, Ferrari M (1998) Invariant tensor-to-matrix J Eng Mech 135(4):307–323 mappings for evaluation of tensorial expressions. J Elastic- 38. Sips R (1951) General theory of deformation of viscoelastic ity 52:43–61 substances. J Polym Sci 7(2–3):191–205 30. Nahar S, Schmets A, Scarpas A, Schitter G (2013) Temper- 39. Stehfest H (1970) Algorithm 368: numerical inversion of ature and thermal history dependence of the microstructure in laplace transforms. Commun ACM 13:47–49 bituminous materials. Eur Polym J 49:1964–1974 40. Stroud A (1971) Approximate calculation of multiple inte- 31. Pichler C, Lackner R (2009) Upscaling of viscoelastic prop- grals. Prentice-Hall, Englewood Cliffs erties of highly-filled composites: investigation of matrix- 41. Suquet P (ed) (1997) Continuum micromechanics. Springer, inclusion type morphologies with power-law viscoelastic Wien material response. Compos Sci Technol 69:2410–2420 42. Wakashima K, Tsukamoto H (1991) Mean-field microme- 32. Pichler B, Hellmich C, Eberhardsteiner J (2009) Spherical chanics model and its application to the analysis of ther- and acicular representation of hydrates in a micromechan- momechanical behaviour of composite materials. Mater Sci ical model for cement paste: prediction of early-age elas- Eng A 146(1–2):291–316 ticity and strength. Acta Mech 203:137–162 43. Yen T (1992) The colloidal aspect of a macrostructure of 33. Pichler C, Lackner R, Aigner E (2012) Generalized self- petroleum asphalt. Fuel Sci Technol Int 10:723–733 consistent scheme for upscaling of viscoelastic properties of 44. Zaoui A (1997) Structural morphology and constitutive highly-filled matrix-inclusion composites - application in behavior of microheterogeneous materials. In: Suquet P (ed) the context of multiscale modeling of bituminous mixtures. Continuum micromechanics. Springer, Wien, pp 291–347 Composites 43:457–464 45. Zaoui A (2002) Continuum micromechanics: survey. J Eng 34. Read W (1950) Stress analysis for compressible viscoelastic Mech (ASCE) 128(8):808–816 media. J Appl Phys 21(7):671–674 35. Richardson C (1910) The modern asphalt pavement. Wiley, New York