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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 국제구조공학회 Smart Structures and Systems, An International Journal Smart Structures and Systems, An International Journal Vol.28 No.1
- 발행연도
- 2021.1
- 수록면
- 1 - 12 (12page)
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In this paper, a novel approach to damage identification in structures using Particle Swarm Optimization (PSO) combined with Artificial neural network (ANN) is proposed. With recent substantial advances, ANN has been extensively utilized in a wide variety of fields. However, because of the application of backpropagation algorithms based on gradient descent techniques, ANN may be trapped in local minima when seeking the best solution. This may reduce the accuracy of ANN. Therefore, we propose employing an evolutionary algorithm, namely PSO to deal with the local minimum problems of ANN. PSO is employed to improve the training parameters of ANN consisting of weight and bias ratios by reducing the deviation between calculated and desired results. These training parameters are then used to train the network. Since PSO applies global search techniques to look for the best solution, it can assist the network in avoiding local minima by looking for a beneficial starting point. In order to assess the effectiveness of the proposed approach, both numerical and experimental models with different damage scenarios are employed. The results show that ANN -PSO not only significantly reduces computational time compared to PSO but also possibly identifies damages in the considered structures more accurately than ANN and PSO separately.
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참고문헌 (28)
참고문헌 신청
Jung-Huai Chou / 2001 / Genetic algorithm in structural damage detection / Computers & Structures 79(14):1335~1353
Cuong Nguyen Huy / 2020 / Experimental study on flexural behavior of prestressed and non-prestressed textile reinforced concrete plates / Transport and Communications Science Journal 71(1):37~45
Hung V. Dang / 2020 / Data-Driven Structural Health Monitoring Using Feature Fusion and Hybrid Deep Learning / IEEE Transactions on Automation Science and Engineering 18(4):2087~2103
Hung V. Dang / 2021 / Connection stiffness reduction analysis in steel bridge via deep CNN and modal experimental data / Structural Engineering and Mechanics, An Int＇l Journal 77(4):495~508
P.M. Djuric / 1996 / A model selection rule for sinusoids in white Gaussian noise / IEEE Transactions on Signal Processing 44(7):1744~1751
Cuong Nguyen Huy / 2020 / Experimental study on flexural behavior of prestressed and non-prestressed textile reinforced concrete plates / Transport and Communications Science Journal 71(1):37~45
Hung V. Dang / 2020 / Data-Driven Structural Health Monitoring Using Feature Fusion and Hybrid Deep Learning / IEEE Transactions on Automation Science and Engineering 18(4):2087~2103
Hung V. Dang / 2021 / Connection stiffness reduction analysis in steel bridge via deep CNN and modal experimental data / Structural Engineering and Mechanics, An Int＇l Journal 77(4):495~508
P.M. Djuric / 1996 / A model selection rule for sinusoids in white Gaussian noise / IEEE Transactions on Signal Processing 44(7):1744~1751
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