Sand Grain Size Analysis
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Data Dictionary for Grain-Size Data Tables
Data Dictionary for Grain-Size Data Tables The table below describes the attributes (data columns) for the grain-size data tables presented in this report. The metadata for the grain-size data are not complete if they are not distibuted with this document. Attribute_Label Attribute_Definition SAMPLE ID Sediment Sample identification number DEPTH (cm) Sample depth interval, in centimeters Physical description of sediment textural group - describes the dominant grain size class of the sample (after Folk, 1954): SEDIMENT TEXTURE (Folk, 1954) Sand, Clayey Sand, Muddy Sand, Silty Sand, Sandy Clay, Sandy Mud, Sandy Silt, Clay, Mud, or Silt AVERAGED SAMPLE RUNS Number of sample runs (N) included in the averaged statistics or other relavant information MEAN GRAIN SIZE (mm) Mean grain size, in microns (after Folk and Ward, 1957) MEAN GRAIN SIZE STANDARD DEVIATION (mm) Standard deviation of mean grain size, in microns SORTING (mm) Sample sorting - the standard deviation of the grain size distribution, in microns (after Folk and Ward, 1957) SORTING STANDARD DEVIATION (mm) Standard deviation of sorting, in microns SKEWNESS (mm) Sample skewness - deviation of the grain size distribution from symmetrical, in microns (after Folk and Ward, 1957) SKEWNESS STANDARD DEVIATION (mm) Standard deviation of skewness, in microns KURTOSIS (mm) Sample kurtosis - degree of curvature near the mode of the grain size distribution, in microns (after Folk and Ward, 1957) KURTOSIS STANDARD DEVIATION (mm) Standard deviation of kurtosis, in microns MEAN GRAIN SIZE (ɸ) Mean -
Soil Classification the Geotechnical Engineer Predicts the Behavior Of
CE 340, Fall 2015 Soil Classification 1 / 7 The geotechnical engineer predicts the behavior of soils for his or her clients (structural engineers, architects, contractors, etc). A first step is to classify the soil. Soil is typically classified according to its distribution of grain sizes, its plasticity, and its relative density or stiffness. Classification by Distribution of Grain Sizes. While an experienced geotechnical engineer can visually examine a soil sample and estimate its grain size distribution, a more accurate determination can be made by performing a sieve analysis. Sieve Analyis. In a sieve analysis, the dried soil sample is placed in the top of a stacked set of sieves. The sieve with the largest opening is placed on top, and sieves with successively smaller openings are placed below. The sieve number indicates the number of openings per linear inch (e.g. a #4 sieve has 4 openings per linear inch). The results of a sieve analysis can be used to help classify a soil. Soils can be divided into two broad classes: coarse‐grained soils and fine‐grained soils. Coarse‐grained soils have particles with a diameter larger than 0.075 mm (the mesh size of a #200 sieve). Fine‐grained soils have particles smaller than 0.075 mm. The four basic grain sizes are indicated in Figure 1 below: Gravel, Sand, Silt and Clay. Sieve Opening, mm Opening, in Soil Type Cobbles 76.2 mm 3 in Gravel #4 4.75 mm ~0.2 in [# 10 for AASHTO) (2.0 mm) (~0.08 in) Coarse Sand #10 2.0 mm ~0.08 in Grained Medium Sand #40 0.425 mm ~0.017 in Coarse Fine Sand #200 0.075 mm ~0.003 in Silt 0.002 mm to Grained 0.005 mm Fine Clay Figure 1. -
A Guidebook to Particle Size Analysis Table of Contents
A GUIDEBOOK TO PARTICLE SIZE ANALYSIS TABLE OF CONTENTS 1 Why is particle size important? Which size to measure 3 Understanding and interpreting particle size distribution calculations Central values: mean, median, mode Distribution widths Technique dependence Laser diffraction Dynamic light scattering Image analysis 8 Particle size result interpretation: number vs. volume distributions Transforming results 10 Setting particle size specifications Distribution basis Distribution points Including a mean value X vs.Y axis Testing reproducibility Including the error Setting specifications for various analysis techniques Particle Size Analysis Techniques 15 LA-960 laser diffraction technique The importance of optical model Building a state of the art laser diffraction analyzer 18 LA-350 laser diffraction technique Compact optical bench and circulation pump in one system 19 ViewSizer 3000 nanotracking analysis A Breakthrough in nanoparticle tracking analysis 20 SZ-100 dynamic light scattering technique Calculating particle size Zeta Potential Molecular weight 25 PSA300 image analysis techniques Static image analysis Dynamic image analysis 27 Dynamic range of the HORIBA particle characterization systems 27 Selecting a particle size analyzer When to choose laser diffraction When to choose dynamic light scattering When to choose image analysis 31 References Why is particle size important? Particle size influences many properties of particulate materials and is a valuable indicator of quality and performance. This is true for powders, Particle size is critical within suspensions, emulsions, and aerosols. The size and shape of powders influences a vast number of industries. flow and compaction properties. Larger, more spherical particles will typically flow For example, it determines: more easily than smaller or high aspect ratio particles. -
Nanomaterials How to Analyze Nanomaterials Using Powder Diffraction and the Powder Diffraction File™
Nanomaterials How to analyze nanomaterials using powder diffraction and the Powder Diffraction File™ Cerium Oxide CeO2 PDF 00-064-0737 7,000 6,000 5,000 4,000 Intensity 3,000 2,000 1,000 20 30 40 50 60 70 80 90 100 110 120 Nanomaterials Table of Contents Materials with new and incredible properties are being produced around the world by controlled design at the atomic and molecular level. These nanomaterials are typically About the Powder Diffraction File ......... 1 produced in the 1-100 nm size scale, and with this small size they have tremendous About Powder Diffraction ...................... 1 surface area and corresponding relative percent levels of surface atoms. Both the size and available (reactive) surface area can contribute to unique physical properties, Analysis Tools for Nanomaterials .......... 1 such as optical transparency, high dissolution rate, and enormous strength. Crystallite Size and Particle Size ������������ 2 In this Technical Bulletin, we are primarily focused on the use of structural simulations XRPD Pattern for NaCI – An Example .... 2 in order to examine the approximate crystallite size and molecular orientation in nanomaterials. The emphasis will be on X-ray analysis of nanomaterials. However, Total Pattern Analysis and the �������������� 3 Powder Diffraction File electrons and neutrons can have similar wavelengths as X-rays, and all of the X-ray methods described have analogs with neutron and electron diffraction. The use of Pair Distribution Function Analysis ........ 3 simulations allows one to study any nanomaterials that have a known atomic and Amorphous Materials ............................ 4 molecular structure or one can use a characteristic and reproducible experimental diffraction pattern. -
Direct Shear Tests Used in Soil-Geomembrane Interface Friction Studies
DIRECT SHEAR TESTS USED IN SOIL-GEOMEMBRANE INTERFACE FRICTION STUDIES August 1994 U.S. DEPARTMENT OF THE INTERIOR Bureau of Reclamation Denver Off ice Research and Laboratory Services Division Materials Engineering Branch 7-2090 (4-81) Bureau of Reclamat~on ..........................................................................................TECHNICAL REPORT STANDARD TITLE PAGE I I. REPORT NO. ................................................................................................. ................................................................................................. I 4. TITLE AND SUBTITLE 1 5. REPORT DATE August 1994 Direct Shear Tests Used in 6. PERFORMING ORGANIZATION CODE Soil-Geomembrane Interface Friction Studies 7. AUTHOR(S) 8. PERFORMING ORGANIZATION Richard A. Young REPORT NO. R-94-09 9. PERFORMING ORGANIZATION NAME AND ADDRESS lo. WORK UNIT NO. Bureau of Reclamation Denver Office Denver CO 80225 12. SPONSORING AGENCY NAME AND ADDRESS Same 1 14. SPONSORING AGENCY CODE DIBR 15. SUPPLEMENTARY NOTES Microfiche and hard copy available at the Denver Office, Denver, Colorado 16. ABSTRACT The Bureau of Reclamation Canal Lining Systems Program funded a series of direct shear tests on interfaces between a typical cover soil and different geomembrane liner materials. The purposes of the testing program were to determine the shear strength parameters at the soil-geomembrane interface and to examine the precision of the direct shear test. This report presents the results of the testing program. 17. KEY WORDS AND DOCUMENT ANALYSIS a. DESCRIPTORS-- water conservation1 geosyntheticsl canal lining/ b. IDENTIFIERS- c. COSA TI Field/Group CO WRR: SRIM: 18. DISTRIBUTION STATEMENT 19. SECURITY CLASS 21. NO. OF PAGES (THIS REPORT) 59 Available from the National Technical Information Service, Operations Division UNCLASSIFIED 20. SECURITY CLASS 22. PRICE 5285 Port Royal Road, Springfield, Virginia 22161 (THIS PAGn UNCLASSIFIED DIRECT SHEAR TESTS USED IN SOIL-GEOMEMBRANE INTERFACE FRICTION STUDIES by Richard A. -
Field Sand Sieve Analysis Instructions
Field Sand Sieve Analysis Preparation To be able carry out a sieve analysis, the following materials are needed: • 3-cycle logarithm paper – an example is annexed to this document; • Set of sieves for sand analysis. A plastic set is available from www.geosupplies.co.uk . This set does not have larger mesh sizes, but is useful for field trips due to their weight; • Electronic scales with the ability to weigh 200 grams accurately to within 0.1 gram; • At least 200 grams of very dry sand. Instructions 1. Stack the sieves with the coarsest at the top and the finest at the bottom. 2. Place a small container on the scales that will receive the sand (e.g. cut off the bottom of a plastic water bottle), and then zero the scales. 3. Mix the sand and then measure out approximately 200 grams into the top sieve. 4. Put the lid on and shake the sieve column. Theoretically you should shake for 10 minutes, but several minutes should suffice. 5. Weigh the sand retained by each sieve to the nearest 0.1 gram. This is done in a cumulative way – this means that you add what is remaining on the coarsest sieve on top to the container on the scales, and measure the weight. Following this, you add the material from the second sieve down, and again note the combined weight of both samples. Continue in this way for the whole set. When finished, check that the final weight corresponds to the initial weight of the sample. 6. Clean each sieve as it is emptied and return the sand to the stock. -
Rapid Shear Strength Evaluation of in Situ Granular Materials
134 TRANSPORTATION RESEARCH RECORD 1227 Rapid Shear Strength Evaluation of In Situ Granular Materials MICHAEL E. AYERS, MARSHALL R. THOMPSON, AND DONALD R. UzARSKI Dynamic Cone Penetrometer (DCP) and rapid-loading (1.5 in./ The DCP does not have these limitations. It can be used sec) triaxial shear strength tests were conducted on six granular for a wide range of particle sizes and material strengths and materials compacted at three density levels. The granular mate can characterize strength with depth. rials were sand, dense-graded sandy gravel, AREA No. 4 crushed The DCP, as used in this study, consists of a 17 .6-lb sliding dolomitic ballast, and material No. 3 with 7 .5, 15, and 22.5 percent weight, a fixed-travel (22.6 in.) weight shaft, a calibrated F A-20 material. (F A-20 is a nonplastic crushed-dolomitic fines stainless steel penetration shaft, and replaceable drive cone material-96 percent minus No. 4 sieve : 2 percent minus No. 200 sieve.) DCP and triaxial shear strength data (including stress tips (Figure 1). Test results are expressed in terms of the strain plots) are presented and analyzed. The major factors affect penetration rate (PR), which is defined as the vertical move- ing DCP and shear strength are considered. DCP-shear strength correlations are established and algorithms for estimating in situ shear strength from DCP data are presented. To the authors' knowledge, this is the first study in which the shear strength of Handle granular materials has been related to DCP test data. Such rela tions have significant potential applications in evaluating existing Hammer (8 kg) ( 17.6 lb) transportation support systems (railroad track structures, airfield and highway pavements, and similar types of horizontal construc tion) in a rapid manner. -
Evolution and Grain Size Distribution of Bahamian Ooid Shoals From
Movement and grain size distribution of Bahamian sand shoals from remote sensing Kathryn M. Stack Michael Lamb, Ralph Milliken, Sebastien Leprince, John Grotzinger California Institute of Technology KISS Monitoring Earth Surface Changes From Space II 3/30/10 Motivation: Understand how sediment moves underwater Transport Grain size Implicaons Evoluon of shallow Petroleum and natural CO2 reservoirs bathymetry gas reservoirs 2 How remote sensing data can help • Obtain a 2-D snapshot of a modern day shallow carbonate environment • Build up a time series of morphology and grain size • Quantify the distribution and movement of sediment at a variety of temporal and spatial scales –Tides versus storms? • Use the modern to better understand the 3-D patterns of porosity and permeability in the rock record The Bahamas: A modern carbonate environment Florida The Atlantic Ocean The Bahamas Cuba 100 km Google Earth Tongue of the Ocean Schooner Cays 20 km 20 km Exumas Lily Bank 2 km 2 km Tongue of the Ocean 10 km 1 Crest spacing ~ 1‐10 km Google Earth 3 Crest spacing ~ 100 m 2 1 km Crest spacing ~ 1 km ASTER, Band 1 20 m Sediment transport and bedform migration Bedform spatial scales = 5-10 cm, 1 m, 10-100 m, 1-10 km Temporal scales = Hours, days, years Δy Δx Transport Ideal Imaging Campaign • High enough spatial resolution to see bedform crests on a number of scales - Sub-meter resolution - Auto-detection system • High enough temporal resolution to distinguish between slow steady processes and storms - Image collection every 3 to 6 hours • Spectral resolution depending on bedform scale of interest Also useful: • High resolution water topography (sub-meter resolution) • Track currents, tides, and water velocity Application of COSI-Corr • Use the COSI-Corr software developed by Leprince et al. -
A Comparative Study of Particle Size Distribution of Graphene Nanosheets Synthesized by an Ultrasound-Assisted Method
nanomaterials Article A Comparative Study of Particle Size Distribution of Graphene Nanosheets Synthesized by an Ultrasound-Assisted Method Juan Amaro-Gahete 1,† , Almudena Benítez 2,† , Rocío Otero 2, Dolores Esquivel 1 , César Jiménez-Sanchidrián 1, Julián Morales 2, Álvaro Caballero 2,* and Francisco J. Romero-Salguero 1,* 1 Departamento de Química Orgánica, Instituto Universitario de Investigación en Química Fina y Nanoquímica, Facultad de Ciencias, Universidad de Córdoba, 14071 Córdoba, Spain; [email protected] (J.A.-G.); [email protected] (D.E.); [email protected] (C.J.-S.) 2 Departamento de Química Inorgánica e Ingeniería Química, Instituto Universitario de Investigación en Química Fina y Nanoquímica, Facultad de Ciencias, Universidad de Córdoba, 14071 Córdoba, Spain; [email protected] (A.B.); [email protected] (R.O.); [email protected] (J.M.) * Correspondence: [email protected] (A.C.); [email protected] (F.J.R.-S.); Tel.: +34-957-218620 (A.C.) † These authors contributed equally to this work. Received: 24 December 2018; Accepted: 23 January 2019; Published: 26 January 2019 Abstract: Graphene-based materials are highly interesting in virtue of their excellent chemical, physical and mechanical properties that make them extremely useful as privileged materials in different industrial applications. Sonochemical methods allow the production of low-defect graphene materials, which are preferred for certain uses. Graphene nanosheets (GNS) have been prepared by exfoliation of a commercial micrographite (MG) using an ultrasound probe. Both materials were characterized by common techniques such as X-ray diffraction (XRD), Transmission Electronic Microscopy (TEM), Raman spectroscopy and X-ray photoelectron spectroscopy (XPS). All of them revealed the formation of exfoliated graphene nanosheets with similar surface characteristics to the pristine graphite but with a decreased crystallite size and number of layers. -
The Effect of Variable Grain Size Distribution on Beach's
Delft University of Technology Faculty of Civil Engineering and Geosciences Department of Hydraulic Engineering MSc Thesis THE EFFECT OF VARIABLE GRAIN SIZE DISTRIBUTION ON BEACH’S MORPHOLOGICAL RESPONSE Graduation committee: Prof.dr.ir. A.J.H.M. Reniers Author: Dr.ir. Matthieu de Schipper Melike Koktas Ir. Tjerk Zitman Dr. Edith L. Gallagher May 2017 P a g e 2 | 67 EXECUTIVE SUMMARY Field studies with in-situ sediment sampling demonstrate the spatial variability in grain size on a sandy beach. However, conventional numerical models that are used to simulate the coastal morphodynamics ignore this variability of sediment grain size and use a uniform grain size distribution of mostly around and assumed fine grain size. This thesis study investigates the importance of variable grain size distribution in a beach’s morphological response. For this purpose, first a field experiment campaign was conducted at the USACE Field Research Facility (FRF) in Duck, USA, in the spring of 2014. This experiment campaign was called SABER_Duck as an acronym for ‘Stratigraphy And BEach Response’. During SABER_Duck, in-situ swash zone grain size distribution, the prevailing hydrodynamic conditions and the time-series of the cross-shore bathymetry data were collected. The data confirmed a highly variable grain size distribution in the swash zone both vertically and horizontally. Additionally, the two trench survey observations showed the existence of continuous layers of coarse and fine sands comprising the beach stratigraphy. Secondly, a process based numerical coastal morphology model, XBeach, was chosen to simulate the beach profile response to wave and tidal action. A 1D cross-shore profile model was built and tested with the bathymetry data and accompanying boundary conditions that were collected during SABER_Duck. -
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A Thesis Submitted for the Degree of PhD at the University of Warwick Permanent WRAP URL: http://wrap.warwick.ac.uk/125819 Copyright and reuse: This thesis is made available online and is protected by original copyright. Please scroll down to view the document itself. Please refer to the repository record for this item for information to help you to cite it. Our policy information is available from the repository home page. For more information, please contact the WRAP Team at: [email protected] warwick.ac.uk/lib-publications Anisotropic Colloids: from Synthesis to Transport Phenomena by Brooke W. Longbottom Thesis Submitted to the University of Warwick for the degree of Doctor of Philosophy Department of Chemistry December 2018 Contents List of Tables v List of Figures vi Acknowledgments ix Declarations x Publications List xi Abstract xii Abbreviations xiii Chapter 1 Introduction 1 1.1 Colloids: a general introduction . 1 1.2 Transport of microscopic objects – Brownian motion and beyond . 2 1.2.1 Motion by external gradient fields . 4 1.2.2 Overcoming Brownian motion: propulsion and the requirement of symmetrybreaking............................ 7 1.3 Design & synthesis of self-phoretic anisotropic colloids . 10 1.4 Methods to analyse colloid dynamics . 13 1.4.1 2D particle tracking . 14 1.4.2 Trajectory analysis . 19 1.5 Thesisoutline................................... 24 Chapter 2 Roughening up Polymer Microspheres and their Brownian Mo- tion 32 2.1 Introduction.................................... 33 2.2 Results&Discussion............................... 38 2.2.1 Fabrication and characterization of ‘rough’ microparticles . 38 i 2.2.2 Quantifying particle surface roughness by image analysis . -
Grain-Size Sorting in Grainflows at the Lee Side of Deltas
Sedimentology (2005) 52, 291–311 doi: 10.1111/j.1365-3091.2005.00698.x Grain-size sorting in grainflows at the lee side of deltas MAARTEN G. KLEINHANS Department of Physical Geography, Faculty of Geosciences, Universiteit Utrecht, PO Box 80115, 3508 TC Utrecht, The Netherlands (E-mail: [email protected]) ABSTRACT The sorting of sediment mixtures at the lee slope of deltas (at the angle of repose) is studied with experiments in a narrow, deep flume with subaqueous Gilbert-type deltas using varied flow conditions and different sediment mixtures. Sediment deposition and sorting on the lee slope of the delta is the result of (i) grains falling from suspension that is initiated at the top of the delta, (ii) kinematic sieving on the lee slope, (iii) grainflows, in which protruding large grains are dragged downslope by subsequent grainflows. The result is a fining upward vertical sorting in the delta. Systematic variations in the trend depend on the delta height, the migration celerity of the delta front and the flow conditions above the delta top. The dependence on delta height and migration celerity is explained by the sorting processes in the grainflows, and the dependence on flow conditions above the delta top is explained by suspension of fine sediment and settling on the lee side and toe of the delta. Large differences in sorting trends were found between various sediment mixtures. The relevance of these results with respect to sorting in dunes and bars in rivers and laboratory flumes is discussed and the elements for a future vertical sorting model are suggested.