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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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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.15 No.4
- 발행연도
- 2015.1
- 수록면
- 1,139 - 1,158 (20page)
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초록· 키워드
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This paper proposes an efficient system identification method for modeling nonlinear behaviorof civil structures. This method is developed by integrating three different methodologies: principalcomponent analysis (PCA), artificial neural networks, and fuzzy logic theory, hence named PANFIS(PCA-based adaptive neuro-fuzzy inference system). To evaluate this model, a 3-story building equippedwith a magnetorheological (MR) damper subjected to a variety of earthquakes is investigated. To train theinput-output function of the PANFIS model, an artificial earthquake is generated that contains a variety ofcharacteristics of recorded earthquakes. The trained model is also validated using the1940 El-Centro, Kobe,Northridge, and Hachinohe earthquakes. The adaptive neuro-fuzzy inference system (ANFIS) is used as abaseline. It is demonstrated from the training and validation processes that the proposed PANFIS model iseffective in modeling complex behavior of the smart building. It is also shown that the proposed PANFISproduces similar performance with the benchmark ANFIS model with significant reduction ofcomputational loads.
목차
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참고문헌 (53)
참고문헌 신청
Adeli, H. / 2004 / Wavelet-hybrid feedback-least mean square algorithm for robust control of structures / J. Struct. Eng. -ASCE 130(1):128~137
Avci, E. / 2009 / An intelligent diagnosis system based on principal component analysis and ANFIS for the hearth valve diseases / Expert Syst. Appl 36(2):2873~2878
Bani-Hani, K. / 1999 / Experimental study of identification and control of structures using neural network Part 1 : identification / Earthq. Eng. Struct. D 28(9):995~1018
Chen, Y. / 2007 / Automatic design of hierarchical Takagi-Sugeno type fuzzy systems using evolutionary algorithms / IEEE T. Fuzzy Syst 15(3):385~397
Chung, L. L. / 1989 / Experiments on active control for MDOF seismic structures / J. Eng. Mech. – ASCE 115:1609~1627
Avci, E. / 2009 / An intelligent diagnosis system based on principal component analysis and ANFIS for the hearth valve diseases / Expert Syst. Appl 36(2):2873~2878
Bani-Hani, K. / 1999 / Experimental study of identification and control of structures using neural network Part 1 : identification / Earthq. Eng. Struct. D 28(9):995~1018
Chen, Y. / 2007 / Automatic design of hierarchical Takagi-Sugeno type fuzzy systems using evolutionary algorithms / IEEE T. Fuzzy Syst 15(3):385~397
Chung, L. L. / 1989 / Experiments on active control for MDOF seismic structures / J. Eng. Mech. – ASCE 115:1609~1627
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