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RISS 인기검색어
- 검색키워드
- 저자 : Dakai Liang (검색결과 3 건)
- 무료
- 기관 내 무료
- 유료
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Zhang, Xiaoli,Liang, Dakai,Zeng, Jie,Lu, Jiyun Techno-Press 2014 Smart Structures and Systems, An International Jou Vol.14 No.2
The objective of this study is to improve the survivability and reliability of the FBG sensor network in the structural health monitoring (SHM) system. Therefore, a model reconstruction soft computing recognition algorithm based on support vector regression (SVR) is proposed to achieve the high reliability of the FBG sensor network, and the grid search algorithm is used to optimize the parameters of SVR model. Furthermore, in order to demonstrate the effectiveness of the proposed model reconstruction algorithm, a SHM system based on an eight-point fiber Bragg grating (FBG) sensor network is designed to monitor the foreign-object low velocity impact of a CFRP composite plate. Simultaneously, some sensors data are neglected to simulate different kinds of FBG sensor network failure modes, the predicting results are compared with non-reconstruction for the same failure mode. The comparative results indicate that the performance of the model reconstruction recognition algorithm based on SVR has more excellence than that of non-reconstruction, and the model reconstruction algorithm almost keeps the consistent predicting accuracy when no sensor, one sensor and two sensors are invalid in the FBG sensor network, thus the reliability is improved when there are FBG sensors are invalid in the structural health monitoring system.
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Xiao Li Zhang,Dakai Liang,Jiyun Lu,Jie Zeng 국제구조공학회 2014 Smart Structures and Systems, An International Jou Vol.14 No.2
The objective of this study is to improve the survivability and reliability of the FBG sensor network in the structural health monitoring (SHM) system. Therefore, a model reconstruction soft computing recognition algorithm based on support vector regression (SVR) is proposed to achieve the high reliability of the FBG sensor network, and the grid search algorithm is used to optimize the parameters of SVR model. Furthermore, in order to demonstrate the effectiveness of the proposed model reconstruction algorithm, a SHM system based on an eight-point fiber Bragg grating (FBG) sensor network is designed to monitor the foreign-object low velocity impact of a CFRP composite plate. Simultaneously, some sensors data are neglected to simulate different kinds of FBG sensor network failure modes, the predicting results are compared with non-reconstruction for the same failure mode. The comparative results indicate that the performance of the model reconstruction recognition algorithm based on SVR has more excellence than that of non-reconstruction, and the model reconstruction algorithm almost keeps the consistent predicting accuracy when no sensor, one sensor and two sensors are invalid in the FBG sensor network, thus the reliability is improved when there are FBG sensors are invalid in the structural health monitoring system
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Jiwei Huang,Jie Zeng,Yufang Bai,Zhuming Cheng,Yong Wang,Qidi Zhao,Dakai Liang 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.1
An analysis method for improving the shear strength for the single-lap joints of dissimilar materials based on the cohesive zone model (CZM) is presented in this paper. The shear-lag model is established for the single-lap joint, and the stress distribution of joints is derived on the basis of this model, which is verified by simulation. The bilinear CZM is constructed to simulate the fracture process of joints, and the influence of lap length and adhesive layer thickness on the stress distribution of adhesive layers is comprehensively analyzed through simulation. Therefore, the effects of different properties of adhesive layers on the bonded structure strength are discussed with experiments. Results show that the reasonable lap length and thickness in this work are, respectively, 20-22 and 0.4-0.6 mm. The research results will serve as a guide for the parameter design, fracture prediction, and performance optimization of bonded joints.
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