Fr. 102.00

Development of a Bridge Weigh-In-Motion System - A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights

English, German · Paperback / Softback

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Description

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Weigh-in-Motion (WIM) data can be used to predict future traffic volumes and weights for the planning of new infrastructure, the management of maintenance activities, the identification/reduction of overloading problems and the evaluation of the performance of pavements and bridges. Most WIM systems are based on sensors placed in or on the pavement that measure the wheel force applied over them during a very short time. The value of this force varies as a result of road roughness and vehicle dynamics leading to limited accuracy for estimating static weights. Additionally, these systems experience durability problems due to traffic and environmental conditions. An alternative approach to WIM that addresses these limitations is the use of an instrumented bridge to weigh vehicles (B-WIM). This approach is the subject of research in this book. Inaccuracies derived from discrepancies between theoretical B-WIM algorithms and bridge measurements are investigated both theoretically and experimentally. The text also describes the development of a B-WIM system in Ireland, including all aspects of installation, calibration, data collection and its processing into useful traffic information.

About the author










Arturo González graduated in Civil Engineering(Cantabria, Spain, 1995), and obtained MSc & PhD degrees in TrinityCollege Dublin (Ireland, 2001). He continued research aspost-doctoral Newman fellow in University College Dublin where heis currently a lecturer in structures-related subjects. His mainarea of expertise is bridge assessment.

Product details

Authors Arturo Gonzalez
Publisher LAP Lambert Academic Publishing
 
Languages English, German
Product format Paperback / Softback
Released 01.01.2010
 
EAN 9783838304168
ISBN 978-3-8383-0416-8
No. of pages 456
Subject Natural sciences, medicine, IT, technology > Technology

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