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A time domain method for reconstruction of pedestrian induced loads on vibrating structures

  • The present contribution proposes a novel method for the indirect measurement of the ground reaction forces (GRF) induced by a pedestrian during walking on a vibrating structure. Its main idea is to formulate and solve an inverse problem in the time domain with the aim of finding the optimal time dependent moving point force describing the GRF of a pedestrian (input data), which minimizes the difference between a set of computed and a set of measured structural responses (output data). The solution of the inverse problem is addressed by means of the gradient-based trust region optimization strategy. The moving force identification process uses output data from a set of acceleration and displacement time histories recorded at different locations on the structure. The practicability and the accuracy of the proposed GRF identification method is firstly evaluated using simulated measurements, which revealed a high accuracy, robustness and stability of the results in relation to high noise levels. Subsequently, a comprehensive experimental validation process using real measurement data recorded on the HUMVIB experimental footbridge on the campus of the Technical University of Darmstadt (Germany) was carried out. Besides the conventional sensors for the acquisition of structural responses, an array of biomechanical force plates as well as classical load cells at the supports were used for measurement reference GRFs needed in the experimental validation process. The results show that the proposed method delivers a very accurate estimation of the GRF induced by a subject during walking on the experimental structure.

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Metadaten
Author:Andrei FirusORCiD, Roman Kemmler, Hagen Berthold, Steven Lorenzen, Jens Schneider
DOI:https://doi.org/10.1016/j.ymssp.2022.108887
ISSN:0888-3270
Parent Title (English):Mechanical Systems and Signal Processing (MSSP)
Volume:171
Publisher:Elsevier
Place of publication:Amsterdam [u.a.]
Document Type:Article
Language:English
Year of Publication:2022
Release Date:2023/01/16
Tag:Computer Science Applications; Mechanical Engineering; Aerospace Engineering; Civil and Structural Engineering; Signal Processing; Control and Systems Engineering
Article Number:108887
Institutes:Fakult├Ąt Bauingenieurwesen
Relevance:Peer reviewed Publikation in Master Journal List
Open Access?:Nein
Licence (German):License LogoUrheberrechtlich gesch├╝tzt