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Bridge Weigh In Motion Vs Loadometer

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Bridge Weigh In Motion Vs Loadometer

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Author : Ahmad Ardani
language : en
Publisher:
Release Date : 1986

Bridge Weigh In Motion Vs Loadometer written by Ahmad Ardani and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Bridges categories.

Evaluation Of The Bridge Weigh In Motion System

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Author :
language : en
Publisher:
Release Date : 1985

Evaluation Of The Bridge Weigh In Motion System written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Government publications categories.

This demonstration project allowed Wisconsin Dept. of Transportation to test the overall performance of Bridge weigh in motion equipment as well as develop an entirely new comprehensive and representative truck weight database.

Bridge Weigh In Motion Wim Algorithm For Estimating Axle Weights Axle Spacing And Other Truck Parameters

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Author : Sarah Kathryn Leming
language : en
Publisher:
Release Date : 2002

Bridge Weigh In Motion Wim Algorithm For Estimating Axle Weights Axle Spacing And Other Truck Parameters written by Sarah Kathryn Leming and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Bridges categories.

Development Of A Bridge Weigh In Motion System

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Author : Arturo Gonzalez
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2010-05

Development Of A Bridge Weigh In Motion System written by Arturo Gonzalez and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-05 with categories.

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.

Bridge Weigh In Motion Challenges And Opportunities

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Author : Xiangang Lai
language : en
Publisher:
Release Date : 2021

Bridge Weigh In Motion Challenges And Opportunities written by Xiangang Lai and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Bridges categories.

Traffic loads on the highway bridges have been increasing in the past years. Actual truck axle configurations and weights may deviate significantly from standard legal design trucks depending on States, freight corridors, and seasons. Changes in legal truckloads are often made by state legislatures based on the pressure by the trucking industry. It is important to understand how trucks impact bridges and whether they cause deterioration and degradation so that policy decisions on legal truckloads can be based on scientific facts. The information of the actual passing vehicles that would be required to address such concerns includes actual truck axle loads and configurations, speeds, and dynamic effects. The critical questions are: How can we measure truck axle configurations and weights over the long term? How can we identify and measure the corresponding critical bridge responses over the long term, and how can we relate these to changes in the bridge life cycle? Finding objective answers to these questions requires complex research. This study is a first step through exploring bridge weigh-in-motion (B-WIM) algorithms, which help to capture the truck’s information for instrumented bridges in operations. Several B-WIM algorithms were inspected first and classified based on their assumptions in incorporating dynamic bridge vehicle interaction. For instance, B-WIM algorithms can be classified as static and dynamic. For the static case, the dynamic effect caused by the interaction between vehicle and bridge is mostly ignored, which results in significant inaccuracies when the dynamic component of the coupled systems is not insignificant or challenging to filter out. Therefore, this study mainly focuses on dynamic algorithms. Various dynamic algorithms, such as dynamic programming and augmented Kalman filters (AKF), have been investigated for their challenges and opportunities they offer into B-WIM applications. Various techniques were employed to address the potential deficiency of dynamic algorithms. These techniques include modal superposition technique to deal with complex structures, mode truncation, singular value decomposition to mitigate the singularity of the formulation matrices, and dummy measurements to improve the identification process's observability. The influence of different parameters on the performance of AKF based B-WIM algorithms were investigated via a parametric study of a simply supported beam subject to moving forces. The results show that those parameter has been carefully chosen for the success of the force prediction. A B-WIM framework was developed. The framework is composed of all the components required to estimate the vehicular weights all the way up from conceptualizations. Critical ones include structural identification to prepare the digital twin, eigenvalue reduction to reduce the dimension of the problem, the numerically verified AKF algorithm, and a parameter tuning method based on optimization technique. A scale model inspired by a typical highway bridge span was designed and constructed in the laboratory following the Similitude Theory. It aims to demonstrate the capability of the proposed B-WIM framework. Multiple tests with different vehicular speeds, weights, and moving paths were conducted and analyzed. Complete force-time histories were predicted and discussed. For B-WIM, the vehicular weights were calculated by averaging the force-time history segment where the vehicle was entirely on the bridge, and results show good agreement between the predicted forces and the static weights.