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Town of Superior Pavement Assessment Study Final Report January 2017
TOWN OF SUPERIOR PAVEMENT ASSESSMENT STUDY FINAL REPORT JANUARY 2017 This report was funded in part through grants from the Federal Highway Administration, U.S. Department of Transportation. The contents of this report reflect the views of the authors, who are responsible for the facts and the accuracy of the data, and for the use or adaptation of previously published material, presented herein. The contents do not necessarily reflect the official views or policies of the Arizona Department of Transportation or the Federal Highway Administration, U.S. Department of Transportation. This report does not constitute a standard, specification, or regulation. Trade or manufacturers’ names that may appear herein are cited only because they are considered essential to the objectives of the report. The U.S. government and the State of Arizona do not endorse products or manufacturers. The Town of Superior’s Council approved and adopted the study on January 12th, 2017. TABLE OF CONTENTS 1. Study Overview ............................................................................................................................... 1 Community Overview ...................................................................................................... 1 Purpose and Need .......................................................................................................... 3 Technical Advisory Committee (TAC) ................................................................................ 3 2. Review of Relevant Studies and Policies ....................................................................................... -
Development of Regression Models for Predicting Pavement Condition Index from the International Roughness Index
Journal of Engineering journal homepage: www.joe.uobaghdad.edu.iq Number 12 Volume 26 December 2020 Civil and Architectural Engineering Development of Regression Models for Predicting Pavement Condition Index from the International Roughness Index Muataz Safaa Abed* MSc of Highways and Transportation Engineering Department of Engineering in Al-Diwaniyah Governorate Al-Diwaniyah, Iraq Email: [email protected] ABSTRACT Flexible pavements are considered an essential element of transportation infrastructure. So, evaluations of flexible pavement performance are necessary for the proper management of transportation infrastructure. Pavement condition index (PCI) and international roughness index (IRI) are common indices applied to evaluate pavement surface conditions. However, the pavement condition surveys to calculate PCI are costly and time-consuming as compared to IRI. This article focuses on developing regression models that predict PCI from IRI. Eighty-three flexible pavement sections, with section length equal to 250 m, were selected in Al-Diwaniyah, Iraq, to develop PCI-IRI relationships. In terms of the quantity and severity of each observed distress, the pavement condition surveys were conducted by actually walking through all the sections. Using these data, PCI was calculated utilizing Micro PAVER software. Dynatest Road Surface Profiler (RSP) was used to collect IRI data of all the sections. Using the SPSS software, linear and nonlinear regressions have been used for developing two models between PCI and IRI based on the collected data. These models have the coefficients of determination (R2) equal to 0.715 and 0.722 for linear and quadratic models. Finally, the results indicate the linear and quadratic models are acceptable to predict PCI from IRI directly. -
Brooklyn College and Graduate School of the City University of NY, Brooklyn, NY 11210 and Northeastern Science Foundation Affiliated with Brooklyn College, CUNY, P.O
FLYSCH AND MOLASSE OF THE CLASSICAL TACONIC AND ACADIAN OROGENIES: MODELS FOR SUBSURFACE RESERVOIR SETTINGS GERALD M. FRIEDMAN Brooklyn College and Graduate School of the City University of NY, Brooklyn, NY 11210 and Northeastern Science Foundation affiliated with Brooklyn College, CUNY, P.O. Box 746, Troy, NY 12181 ABSTRACT This field trip will examine classical sections of the Appalachians including Cambro-Ordovician basin-margin and basin-slope facies (flysch) of the Taconics and braided and meandering stteam deposits (molasse) of the Catskills. The deep water settings are part of the Taconic sequence. These rocks include massive sandstones of excellent reservoir quality that serve as models for oil and gas exploration. With their feet, participants may straddle the classical Logan's (or Emmon 's) line thrust plane. The stream deposits are :Middle to Upper Devonian rocks of the Catskill Mountains which resulted from the Acadian Orogeny, where the world's oldest and largest freshwater clams can be found in the world's oldest back-swamp fluvial facies. These fluvial deposits make excellent models for comparable subsurface reservoir settings. INTRODUCTION This trip will be in two parts: (1) a field study of deep-water facies (flysch) of the Taconics, and (2) a field study of braided- and meandering-stream deposits (molasse) of the Catskills. The rocks of the Taconics have been debated for more than 150 years and need to be explained in detail before the field stops make sense to the uninitiated. Therefore several pages of background on these deposits precede the itinera.ry. The Catskills, however, do not need this kind of orientation, hence after the Taconics (flysch) itinerary, the field stops for the Catskills follow immediately without an insertion of background informa tion. -
Arterial and Bridge Needs Assessment (ABNA) Pavement Rating Crosswalk Methodology
Arterial and Bridge Needs Assessment (ABNA) Pavement Rating Crosswalk Methodology October 14, 2019 Background Maricopa Association of Governments (MAG) is in the process of developing an interactive tool to inform future decision making and project investment. As part of the tool development process, the consultant team has collected pavement performance data from Maricopa Association of Government (MAG)’s Member Agencies. Because the data is collected in various formats depending on the region (See Table 1), it needs to be translated to one consistent measure in order to develop consistent shapefiles of each region’s pavement condition. The purpose of the following memo is to provide documentation of the crosswalk with methodology for transforming all Member Agency data. Table 1: Member Agency Pavement Ratings Rating System / Approach Agency PCI Apache Junction, Avondale, Fountain Hills, Gilbert, Glendale, Goodyear, Maricopa, Mesa, Paradise Valley, Peoria, Phoenix, Queen Creek, SRPMIC, Scottsdale, Tempe Pavement Quality Index (PQI) Chandler Overall Condition Index (OCI) Surprise, Wickenburg Pavement Surface Evaluation and Rating (PASER) El Mirage, Buckeye Excellent (5) to Failed (1) Guadalupe, Litchfield Park, Florence PCR Maricopa County Page 1 of 7 The following table provides definitions of the rating systems used based on interviews with the member agencies and outside research. Crosswalks were developed based on these definitions. Table 2: Pavement Index Definitions Rating System / Definition Rating Approach PCI PCI is typically measured using a visual survey in 0-100 accordance with ASTM D6433 or ASTM D5340. Pavement Quality City surveys pavement, such as the smoothness of 0-100 Index (PQI) roadways and any signs of distress in the pavement surface. -
Developing International Roughness Index (IRI) Model from Visible Pavement Distresses
IOP Conference Series: Materials Science and Engineering PAPER • OPEN ACCESS Recent citations Developing International Roughness Index (IRI) - Road Handling Using International Roughness Index and Surface Distress Model from visible pavement distresses Index Method Andrew Ghea Mahardika et al To cite this article: Hasan H Joni et al 2020 IOP Conf. Ser.: Mater. Sci. Eng. 737 012119 View the article online for updates and enhancements. This content was downloaded from IP address 170.106.33.14 on 27/09/2021 at 03:41 BCEE4 IOP Publishing IOP Conf. Series: Materials Science and Engineering 737 (2020) 012119 doi:10.1088/1757-899X/737/1/012119 Developing International Roughness Index (IRI) Model from visible pavement distresses Hasan H Joni1, Miami M Hilal2 and Muataz S Abed3 1 2 Assistant Prof. Dr., Department of Civil Engineering, University of Technology, Baghdad, Iraq. 3Engineer in Governorate of AL-Diwaniyah, AL-Diwaniyah, Iraq. Email: [email protected] Abstract. The pavement maintenance, rehabilitation, and design methodologies need an appropriate evaluation of the pavement functional condition. The roughness is generally recognized as a measure of the pavement functional capacity. The roughness of pavement is measured using IRI, which depends on the quantity of distresses existing on the pavement surface. This study focuses on developing a model to predict the roughness (IRI) from the flexible pavement distresses. Accordingly, 83 flexible pavement sections were selected in AL-Diwaniyah city roadways, Iraq. The length of the section is equal to 250 meters. Distress data were collected manually, in terms of amount and severity. The IRI data were collected from all sections using the Dynatest Road Surface Profiler (RSP) test system. -
Roads and Parking Lots Pavement Condition Index Surveys1
Designation: D 6433 – 07 Standard Practice for Roads and Parking Lots Pavement Condition Index Surveys1 This standard is issued under the fixed designation D 6433; the number immediately following the designation indicates the year of original adoption or, in the case of revision, the year of last revision. A number in parentheses indicates the year of last reapproval. A superscript epsilon (e) indicates an editorial change since the last revision or reapproval. 1. Scope 2.1.3 pavement branch—a branch is an identifiable part of 1.1 This practice covers the determination of roads and the pavement network that is a single entity and has a distinct parking lots pavement condition through visual surveys using function. For example, each roadway or parking area is a the Pavement Condition Index (PCI) method of quantifying separate branch. pavement condition. 2.1.4 pavement condition index (PCI)—a numerical rating 1.2 The PCI for roads and parking lots was developed by the of the pavement condition that ranges from 0 to 100 with 0 U.S. Army Corps of Engineers (1, 2).2 It is further verified and being the worst possible condition and 100 being the best adopted by DOD and APWA. possible condition. 1.3 The values stated in inch-pound units are to be regarded 2.1.5 pavement condition rating—a verbal description of as the standard. The SI units given in parentheses are for pavement condition as a function of the PCI value that varies information only. from “failed” to “excellent” as shown in Fig. 1. -
Receive and Discuss Updated Street Pavement Condition Index Report
City of Sonoma Agenda Item Summary Meeting: City Council - Feb 19 2020 Department Staff Contact Public Works Colleen Ferguson, Public Works Director/City Engineer Agenda Item Title Receive and Discuss Updated Street Pavement Condition Index Report Summary In January 2020, City staff received a Budget Options Report (attached) prepared by a consultant, Fugro. The report provided updated pavement condition information for the City’s streets, documented a degradation in the condition of the City’s streets, and made funding recommendations for maintaining the existing street pavement condition. Fugro was contracted by the Metropolitan Transportation Commission (MTC) of the San Francisco Bay Area for their Pavement Management Technical Assistant Program (P-TAP), Round 20 to provide an update to the City of Sonoma’s Pavement Management Program. The Budget Options Report provides information with regards to network level pavement repair options, budget analysis with annual and multi-year programming, impact of varying levels of budgets, and cost-effective pavement repair recommendations to assist jurisdictions to develop maintenance and rehabilitation programs. of consisting system management StreetSaver pavement has Sonoma of City The a approximately 33.79 centerline miles of paved roadways. In July 2019, Fugro conducted distress surveys for the network. The distress data was entered into StreetSaver to calculate the Pavement Condition Index (PCI) for each section as well as the overall network. The PCI is an index ranging from 0 (very poor pavement) to 100 (new pavement). The overall network PCI from the last P•TAP inspection was 74 (as of October 14, 2017). The overall network PCI after Fugro's recent inspection was 72 (as of July 25, 2019). -
Journal VOL 6.Indd
Jacem 177 Journal of Advanced College of Engineering and Management, Vol. 6, 2021 ASSESSMENT OF RELATIONSHIP BETWEEN ROAD ROUGHNESS AND PAVEMENT SURFACE CONDITION Satkar Shrestha 1, Rajesh Khadka 2 1 Fusion Engineering Ser vices, Lalitpur, Nepal; [email protected] 2Assistant Professor, Department of Transportation Engineering, Nepal Engineering College, PU. __________________________________________________________________________________ Abstract Pavement evaluation is the most significant procedure to minimize the degradation of the pavement both functionally and structurally. Proper evaluation of pavement is hence required to prolong the life year of the pavement, which thus needs to be addressed in the policy level. By this, the development of genuine indices are to be formulated and used for the evaluation. In context of evaluating the pavement indices for measuring the pavement roughness, International Roughness Index (IRI) is used, whereas for calculating the surface distress, indices as such Surface Distress Index (SDI) and Pavement Condition Index (PCI) are used. Past evaluating schemes used by Department of Roads (DOR) were limited to IRI for evaluating the pavement roughness and SDI for measuring the surface distress, which has least variability in categorizing the pavement according to the deformation. Apart from these, PCI which has wide range of categories for evaluating pavement, is not seen in practice in Nepal due to its cumbersome field work and calculations. In this paper the relationship is developed relating PCI with IRI and SDI using regression analysis by using Microsoft excel. In the other words, the pavement roughness index is compared with the surface distress indices. In 2017, 23.6Km of feeder roads in various locations of Kathmandu and Lalitpur districts were taken for this study which comprised of 236 sample data, each segmented to 100m. -
Report Prepared By: ARCADIS US 855 Route 146, Suite 210 Clifton Park, New York 4279011 518-250-7300
City of Albany 200 Henry Johnson Boulevard Albany, NY 12210 USEPA BROWNFIELDS HAZARDOUS SUBSTANCES ASSESSMENT GRANT ASSISTANCE ID No. BF-97249507-0 Phase I Environmental Site Assessment 566 Washington Avenue Albany, New York September 2011 Report Prepared By: ARCADIS US 855 Route 146, Suite 210 Clifton Park, New York 4279011 518-250-7300 Table of Contents Contents Limitations L-1 Certifications C-1 1. Introduction 1-1 1.1. Purpose of ESA ............................................................................................................ 1-1 1.2. General Site Description ............................................................................................... 1-1 1.3. General Vicinity Description .......................................................................................... 1-2 1.4. Physical Environmental Setting .................................................................................... 1-2 1.4.1. General Topography ..................................................................................... 1-2 1.4.2. Geology and Soils ......................................................................................... 1-2 1.4.3. Surface Water and Wetlands ........................................................................ 1-3 1.4.4. Hydrogeology ................................................................................................ 1-3 2. Records Review (40 CFR §312.24, 312.25 & 312.26) 2-1 2.1. Site Contact Information .............................................................................................. -
Concrete Pavementspavements N a a T T I I O O N N a a L L
N N a a t t i i o o n n a a Technical Services l l , R R o o u u n n d d a a b b o o Vail, Colorado u u t t May 22-25, 2005 Steve Waalkes, P.E. C C o o n n f f e e r r e e Managing Director n n c American Concrete Pavement Association c e e 2 2 0 0 0 0 5 5 TRB National Roundabouts Conference D D Concrete Roundabouts R R Concrete Roundabouts A A F F T T N N a a Flexible Uses liquid asphalt as binder Pro: usually lower cost Con: requires frequent maintenance & rehabilitation t t i i Asphalt o o n n a a l l R R o o u u n n d d a a b b o o u u t t C C Terminology Terminology o o n n f f e e r r e e n n c c e e 2 2 0 0 0 0 5 5 D D R R A A Rigid Uses cement as binder Pro: longer lasting Con: higher cost Concrete F F T T N N a a t t i i o o n n a a l l R R o o u u n n d d a a b b o o u u t t C C o o s n n c f f e i e r r t e e n n e y c c t e h e t 2 2 e 0 0 f s 0 0 aterials onstructability a e conomics 5 erformance (future maintenance) 5 Why Concrete Roundabouts? Why Concrete Roundabouts? D D E C P M R R • • • • •S •A A A F F T T Realize there is a choice N N a a t t i i o o n n a a l l R R o o u u n n d d a a b b o o u u t t C C o o n n f f e e r r e e n n c c e e 2 2 0 0 0 0 What performance characteristics of Where do we typically use concrete pavement? (situations, traffic conditions, applications, etc.) concrete pavement make it the best choice for roundabouts? 5 5 Why Concrete Roundabouts? Why Concrete Roundabouts? D D R R 1. -
CDTC NEW VISIONS 2050 FREIGHT WHITE PAPER February 2020 DRAFT
CDTC NEW VISIONS 2050 FREIGHT WHITE PAPER February 2020 DRAFT Capital District Transportation Committee One Park Place Albany NY 12205 518-458-2161 www.cdtcmpo.org CDTC Freight White Paper Table of Contents Introduction .................................................................................................................................................. 3 CDTC Regional Freight Plan (2016) ........................................................................................................... 4 Freight Advisory Committee ..................................................................................................................... 4 Freight Planning & Investment Principle ...................................................................................................... 5 Freight Priority Network ............................................................................................................................... 5 FPN Route Designation Methodology....................................................................................................... 6 Truck Count Data .................................................................................................................................. 6 National Highway System (NHS) Criteria .............................................................................................. 6 Criteria from Other US Studies ............................................................................................................. 7 Land Use Connections .......................................................................................................................... -
Guidebook: American Revolution
Guidebook: American Revolution UPPER HUDSON Bennington Battlefield State Historic Site http://nysparks.state.ny.us/sites/info.asp?siteId=3 5181 Route 67 Hoosick Falls, NY 12090 Hours: May-Labor Day, daily 10 AM-7 PM Labor Day-Veterans Day weekends only, 10 AM-7 PM Memorial Day- Columbus Day, 1-4 p.m on Wednesday, Friday and Saturday Phone: (518) 279-1155 (Special Collections of Bailey/Howe Library at Uni Historical Description: Bennington Battlefield State Historic Site is the location of a Revolutionary War battle between the British forces of Colonel Friedrich Baum and Lieutenant Colonel Henrick von Breymann—800 Brunswickers, Canadians, Tories, British regulars, and Native Americans--against American militiamen from Massachusetts, Vermont, and New Hampshire under Brigadier General John Stark (1,500 men) and Colonel Seth Warner (330 men). This battle was fought on August 16, 1777, in a British effort to capture American storehouses in Bennington to restock their depleting provisions. Baum had entrenched his men at the bridge across the Walloomsac River, Dragoon Redoubt, and Tory Fort, which Stark successfully attacked. Colonel Warner's Vermont militia arrived in time to assist Stark's reconstituted force in repelling Breymann's relief column of some 600 men. The British forces had underestimated the strength of their enemy and failed to get the supplies they had sought, weakening General John Burgoyne's army at Saratoga. Baum and over 200 men died and 700 men surrendered. The Americans lost 30 killed and forty wounded The Site: Hessian Hill offers picturesque views and interpretative signs about the battle. Directions: Take Route 7 east to Route 22, then take Route 22 north to Route 67.