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Improving damage detection methods in structural health monitoring by introducing a hybrid innovative damage-sensitivity feature using time series analysis 认领 引用
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作者 Seyed Arman Hashemi Behnam Adhami Ali Golsoorat Pahlaviani 《Earthquake Engineering and Engineering Vibration》 SCIE EI CSCD 2026年第3期753-766,共14页
This study presents an approach for output-only,ambient vibration data time series,analysis-based damage detection in a benchmark structural model.A three-dimensional finite element model based on the benchmark labora... This study presents an approach for output-only,ambient vibration data time series,analysis-based damage detection in a benchmark structural model.A three-dimensional finite element model based on the benchmark laboratory model is simulated to show the efficacy of the suggested approach.Also,a new damage-sensitivity feature that is based on autoregressive time series models with exogenous inputs(ARX)is introduced by using output acceleration responses from sensors under the influence of ambient loads provided in the modeling.Minor localized damage close to supports,and more extensive damage that might occur throughout a bridge’s service lifetime are simulated with the finite element model to show the robustness and stability of the suggested damage feature.Next,numerous damage features proposed by other researchers are compared with the feature introduced in this study,utilizing the generated data and the damage scenarios that were created.The findings demonstrate that the proposed damage feature can reliably and accurately identify and locate minor damage close to supports(regarded as a challenge in identification studies)and offer a measure of the level of damage.In addition,the damage feature can accurately locate large-scale damage without producing false positive or negative results. 展开更多
关键词 damage detection benchmark structural model damage-sensitivity feature time series models
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