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2002•Unpublished venueRequires access

INFLUENCE OF DYNAMICS ON ACCURACY OF A BRIDGE WEIGH IN MOTION SYSTEM

A. Gonzalez, E J O'Brien

Open publisher page 9 citations

Abstract

Despite many advantages, the traditional static Bridge Weigh In Motion algorithm can fail to predict axle weights accurately due to vehicle and bridge dynamics and difference between theoretical models and measured bridge response. A new calibration procedure, a dynamic algorithm and the use of multiple sensor locations along the bridge (generally measurements are made at just one longitudinal section) are tested experimentally and with theoretical simulations of trucks on bridges. The findings lead to significant improvements in accuracy.

About this research paper

What this paper is about

Despite many advantages, the traditional static Bridge Weigh In Motion algorithm can fail to predict axle weights accurately due to vehicle and bridge dynamics and difference between theoretical models and measured bridge response. A new calibration procedure, a dynamic algorithm and the use of multiple sensor locations along the bridge (generally measurements are made at just one longitudinal section) are tested experimentally and with theoretical simulations of trucks on bridges. The findings lead to significant improvements in accuracy.

Why it matters

OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Main findings

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Available abstract

Despite many advantages, the traditional static Bridge Weigh In Motion algorithm can fail to predict axle weights accurately due to vehicle and bridge dynamics and difference between theoretical models and measured bridge response. A new calibration procedure, a dynamic algorithm and the use of multiple sensor locations along the bridge (generally measurements are made at just one longitudinal section) are tested experimentally and with theoretical simulations of trucks on bridges. The findings lead to significant improvements in accuracy.

Key concepts: Bridge (graph theory), Weigh in motion, Truck, Calibration, Motion (physics), Dynamics (music), Axle, Computer science

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