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Machine Learning Techniques for Structural Health Monitoring Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Damage Detection in Truss Structures Using Transmissibility Combined with Optimization Techniques

Authors : Roumaissa Zenzen, Samir Khatir, Idir Belaidi, M. Abdel Wahab

Published in: Proceedings of the 13th International Conference on Damage Assessment of Structures

Publisher: Springer Singapore

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Abstract

The paper presents an effective approach based on Modal Assurance Criterion (MAC) formulation, transmissibility function and Particle Swarm Optimization (PSO) for damage assessment in truss structures. The Finite Element Method (FEM) is used to build the structures using Matlab. The main purpose of this study is to apply the transmissibility technique as an objective function based on MAC formulation to predict the damage location and severity. The objective function used in the proposed approach is based on transmissibly using MAC formulation (TMAC). The results show that the present methodology can reliably identify damage scenarios with higher accuracy even in case of complex structures.

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previous chapter Damage Localization and Quantification in Structures Using Residual Force Indicator
next chapter Bolted Joint Monitoring Using the Elastic Wave Propagation
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Metadata
Title
Damage Detection in Truss Structures Using Transmissibility Combined with Optimization Techniques
Authors
Roumaissa Zenzen
Samir Khatir
Idir Belaidi
M. Abdel Wahab
Copyright Year
2020
Publisher
Springer Singapore
Book
Proceedings of the 13th International Conference on Damage Assessment of Structures

Print ISBN: 978-981-13-8330-4

Electronic ISBN: 978-981-13-8331-1

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-13-8331-1_16

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