Wind and Structures

  • 제17권4호
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  • Pages.451-464
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  • 2013
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  • 1226-6116(pISSN)
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  • 1598-6225(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Nonlinear structural system wind load input estimation using the extended inverse method

  • Lee, Ming-Hui (Department of Civil Engineering, Chinese Military Academy)
  • 투고 : 2013.01.31
  • 심사 : 2013.07.30
  • 발행 : 2013.10.25
⟨ 이전 논문 다음 논문 ⟩

초록

This study develops an extended inverse input estimation algorithm with intelligent adaptive fuzzy weighting to effectively estimate the unknown input wind load of nonlinear structural systems. This algorithm combines the extended Kalman filter and recursive least squares estimator with intelligent adaptive fuzzy weighting. This study investigated the unknown input wind load applied on a tower structural system. Nonlinear characteristics will exist in various structural systems. The nonlinear characteristics are particularly more obvious when applying larger input wind load. Numerical simulation cases involving different input wind load types are studied in this paper. The simulation results verify the nonlinear characteristics of the structural system. This algorithm is effective in estimating unknown input wind loads.

키워드

과제정보

연구 과제 주관 기관 : National Science Council in Taiwan

참고문헌

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