MOVING FORCE IDENTIFICATION: OPTIMAL STATE ESTIMATION APPROACH

doi:10.1006/jsvi.2000.3118

Journal of Sound and Vibration

Volume 239, Issue 2, 11 January 2001, Pages 233-254

https://doi.org/10.1006/jsvi.2000.3118 Get rights and content

Abstract

Existing techniques to identify moving forces exhibit the common weakness of having large fluctuations in the identified results. A new method of moving force identification is developed in this paper making use of the dynamic programming technique to overcome this weakness. The forces in the state-space formulation of the dynamic system are identified in the time domain using a recursive formula based on several distributed sensor measurements, and responses of the structure are reconstructed using the identified forces for comparison. Like all inverse problems, the computation is ill-conditioned. However, the dynamic programming technique inherently provides bounds to the ill-conditioned forces, and results from the simulation studies and laboratory work show great improvements over existing methods in the accuracy of identification.

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Regular ArticleMOVING FORCE IDENTIFICATION: OPTIMAL STATE ESTIMATION APPROACH

Abstract

Journal of Sound and Vibration

Journal of Sound and Vibration

Journal of Sound and Vibration

Journal of Sound and Vibration

Computers and Structures

International Journal of Impact Engineering

Journal of Sound and Vibration

Journal of Sound and Vibration

Influence of truck suspensions on the dynamic response of a short span bridge

International Journal of Vehicle Design

Vehicle–bridge interaction element for dynamic analysis

Journal of Structural Engineering, ASCE

A system to obtain vehicle axle weights

Proceedings of 12th ARRB Conference

An unmanned and undetectable highway speed vehicle weighing system

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Regular Article
MOVING FORCE IDENTIFICATION: OPTIMAL STATE ESTIMATION APPROACH