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A framework for computer vision-based health monitoring of a truss structure subjected to unknown excitations

Earthquake Engineering and Engineering Vibration 2023年第1期22卷 1-17页

作者： Mariusz Ostrowski Bartlomiej Blachowski Bartosz Wójcik Mateusz Żarski Piotr Tauzowski Łukasz Jankowski Institute of Fundamental Technological Research Polish Academy of SciencesWarsawPoland Silesian University of Technology GliwicePoland Institute of Theoretical and Applied Informatics Polish Academy of SciencesGliwicePoland

Computer vision(CV)methods for measurement of structural vibration are less expensive,and their application is more straightforward than methods based on sensors that measure physical quantities at particular points of a ***,CV methods produce significantly more measurement ***,computer vision-based structural health monitoring(CVSHM)requires appropriate methods of damage assessment that are robust with respect to highly contaminated measurement *** this paper a complete CVSHM framework is proposed,and three damage assessment methods are *** first is the augmented inverse estimate(AIE),proposed by Peng et *** *** method is designed to work with highly contaminated measurement data,but it fails with a large noise provided by CV *** second method,as proposed in this paper,is based on the AIE,but it introduces a weighting matrix that enhances the conditioning of the *** third method,also proposed in this paper,introduces additional constraints in the optimization process;these constraints ensure that the stiffness of structural elements can only *** proposed methods perform better than the original *** latter of the two proposed methods gives the best results,and it is robust with respect to the selected coefficients,as required by the algorithm.

关键词： computer vision structural health monitoring physics-based graphical models augmented inverse estimate model updating non-negative least square method

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