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RISS 인기검색어
- 검색키워드
- 저자 : Mohammad Javad Khosraviani (검색결과 2 건)
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Damage detection using both energy and displacement damage index on the ASCE benchmark problem
Mohammad Javad Khosraviani,Omid Bahar,Seyed Hooman Ghasemi 국제구조공학회 2021 Structural Engineering and Mechanics, An Int'l Jou Vol.77 No.2
This paper aims to present a novelty damage detection method to identify damage locations by the simultaneous use of both the energy and displacement damage indices. Using this novelty method, the damaged location and even the damaged floor are accurately detected. As a first method, a combination of the instantaneous frequency energy index (EDI) and the structural acceleration responses are used. To evaluate the first method and also present a rapid assessment method, the Displacement Damage Index (DDI), which consists of the error reliability (β) and Normal Probability Density Function (NPDF) indices, are introduced. The innovation of this method is the simultaneous use of displacement-acceleration responses during one process, which is more effective in the rapid evaluation of damage patterns with velocity vectors. In order to evaluate the effectiveness of the proposed method, various damage scenarios of the ASCE benchmark problem, and the effects of measurement noise were studied numerically. Extensive analyses show that the rapid proposed method is capable of accurately detecting the location of sparse damages through the building. Finally, the proposed method was validated by experimental studies of a six‐story steel building structure with single and multiple damage cases.
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Mohammad Javad Khosraviani,Omid Bahar,Seyed Hooman Ghasemi 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.2
This paper attempts to detect damage in the length of continuous deck bridges by providing new methods based on acceleration responses and their Instantaneous Amplitudes (IAs). The DD in this paper has two steps: firstly, determining the vicinity of damage in global damage detection; secondly, determining the location of damage in local damage detection. Then by acceleration signals, the IA values of healthy and damaged structural responses extracted using Hilbert-Huang Transform (HHT). Further, with the impression of the IA energy damage index (EDA), damage location is detected. Moreover, for the accurate evaluation of the proposed method, damage locations are determined using the cross-correlation damage index (CCDI). To assess the feasibility and reliability of the proposed methods, several analytical models of concrete bridges of one to three-spans, as well as experimental models of a simply supported steel beam, slab-on-girder composite bridge, and the UFC benchmark bridge are investigated. To consider noise pollution during data acquisition, a certain amount of noise is added to the response. The comparison of the obtained analytical results with the experimental ones showed that the proposed methods can determine the damage locations with appropriate accuracy for different damage scenarios. Also, the results of the CCDI index concluded to the acceptable exact results associated with a rapid estimation.
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