Probabilistic Multi-Objective Inverse Analysis for Damage Identification Using Piezoelectric Impedance Measurement Under Uncertainties

Probabilistic Multi-Objective Inverse Analysis for Damage Identification Using Piezoelectric Impedance Measurement Under Uncertainties

Piezoelectric impedance sensing is promising for highly accurate damage identification because of its high-frequency active interrogative nature and simplicity in data acquisition. To fully unleash the potential, effective inverse analysis is needed in order to pinpoint the damage location and ident...

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Bibliographic Details
Main Authors: Kai Zhou, Yang Zhang, Qi Shuai, Jiong Tang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Built Environment
Subjects:
damage identification
piezoelectric impedance
inverse analysis
probabilistic multi-objective optimization
differential evolution Markov chain Monte Carlo (DEMC)
uncertainties
Online Access:https://www.frontiersin.org/articles/10.3389/fbuil.2022.904690/full

Internet

https://www.frontiersin.org/articles/10.3389/fbuil.2022.904690/full

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