Longterm pavement performance information management system pavement performance database user reference guide PDF Download
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Author:
Publisher: DIANE Publishing
ISBN: 1428995234
Category :
Languages : en
Pages : 172
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Book Description
Author:
Publisher: DIANE Publishing
ISBN: 1428995234
Category :
Languages : en
Pages : 172
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Book Description
Author:
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 66
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Book Description
The Long-Term Pavement Performance Information Management System (LTPP IMS) Data Users Reference Manual contains an overview of the LTPP program and the data available to researchers. LTPP is a 20-year study of pavements to improve design, rehabilitation, and maintenance practices. This document is intended to assist researchers in understanding the data that are currently available for General Pavement Studies Experiments and how to obtain it. The General Pavement Studies are a group of asphalt concrete (AC) and portland cement concrete (PCC) experiments using in-service pavements. In addition to materials test results for the pavement sections, data on pavement history, maintenance, and rehabilitation are stored in the IMS. Information on distress, transverse profile, cross profile, pavement deflection, and traffic is collected on a routine basis and added to the data base regularly. The manual includes information on the quality control process.
Author: Qiao Dong
Publisher: Elsevier
ISBN: 0443159297
Category : Technology & Engineering
Languages : en
Pages : 378
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Book Description
Data Analysis in Pavement Engineering: Theory and Methodology offers a complete introduction to the basis of the finite element method, covering fundamental theory and worked examples in the detail required for readers to apply the knowledge to their own engineering problems and understand more advanced applications. This edition sees the significant addition of content addressing coupling problems, including Finite element analysis formulations for coupled problems; Details of algorithms for solving coupled problems; and Examples showing how algorithms can be used to solve for piezoelectricity and poroelasticity problems. Focusing on the core knowledge, mathematical and analytical tools needed for successful application, this book represents the authoritative resource of choice for graduate-level students, researchers and professional engineers involved in finite element-based engineering analysis. - This book is the first comprehensive resource to cover all potential scenarios of data analysis in pavement and transportation infrastructure research, including areas such as materials testing, performance modeling, distress detection, and pavement evaluation. - It provides coverage of significance tests, design of experiments, data mining, data modeling, and supervised and unsupervised machine learning techniques. - It summarizes the latest research in data analysis within pavement engineering, encompassing over 300 research papers. - It delves into the fundamental concepts, elements, and parameters of data analysis, empowering pavement engineers to undertake tasks typically reserved for statisticians and data scientists. - The book presents 21 step-by-step case studies, showcasing the application of the data analysis method to address various problems in pavement engineering and draw meaningful conclusions.
Author:
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 16
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Book Description
Established as part of the Strategic Highway Research Program (SHRP) and now managed by the Federal Highway Administration (FHWA), the Long Term Pavement Performance (LTPP) program faces a significant challenge. Over the past decade, the LTPP program has developed a solid knowledge base for understanding how pavements perform. Its challenge throughout its second decade is to build on this foundation--to further the understanding of why pavements perform as they do. To address this challenge, FHWA has initiated several efforts that require the support and active participation of the States and Provinces. The intent of this document is to describe the challenge the LTPP program faces and explain the efforts underway to address this challenge. This document is presented in the following sections: Introduction; The Challenge; Addressing the Challenge; Critical Issues; and Future Opportunities.
Author: William O. Hadley
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 92
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Book Description
This report describes the information management system within SHRP-LTPP to service the NPPDB and the quality assurance checks that verify the presence, reasonableness, accuracy, and validity of the data prior to incorporation into the NPPDB. The National Pavement Performance Database (NPPDB) houses many types of data including inventory, materials characterization, longitudinal profile, deflection, cross profile, distress, friction, maintenance, rehabilitation, climate, and traffic. The report discusses data types and elements in detail and notes data sources. Equipment and operations of the NPPDB are described, as well as NPPDB products.
Author:
Publisher: AASHTO
ISBN:
Category : Architecture
Languages : en
Pages : 274
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Book Description
The purpose of this study was to prepare guidelines that can be used by state level pavement management engineers to help them perform their work more effectively. One of the key activities covered is how to deal with evolving technologies that affect data collection, storage, and presentation process.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 168
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 174
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Book Description
Author:
Publisher: Strategic Highway Research Program (Shrp)
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 164
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Book Description
Author: R. G. Hicks
Publisher: ASCE Publications
ISBN: 9780784475010
Category : Technology & Engineering
Languages : en
Pages : 168
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Book Description
Sponsored by the Highway Division of ASCE; Long-Term Performance Program of the Federal Highway Administration. This collection contains papers from the International Contest on LTPP [Long-Term Performance Program] Data Analysis 1998-1999. This competition involved university students in the analysis of data in the LTPP database. Topics include: effect of locked-in curvature on portland cement concrete pavement; evaluation of a pavement performance prediction model using LTPP data; prediction of pavement performance?a neural network approach; and effectiveness of preventative maintenance strategies for asphalt concrete pavements based on LTPP distress data.
