Structural Engineering and Mechanics

  • 제25권2호
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  • Pages.147-160
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  • 2007
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

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Fuzzy dynamic structural analysis of two-dimensional frame

  • Stemberk, Petr (Faculty of Civil Engineering, Czech Technical University) ;
  • Kruis, Jaroslav (Faculty of Civil Engineering, Czech Technical University)
  • 투고 : 2005.10.10
  • 심사 : 2006.08.22
  • 발행 : 2007.01.30
⟨ 이전 논문 다음 논문 ⟩

초록

In this paper, a dynamic analysis based on the fuzzy set theory is presented as a possible complementary tool to the classical stochastic methods for dynamic analyses. Material parameters of a structure are influenced by uncertainties and therefore they are considered to be fuzzy quantities with given distributions, that means fuzzy numbers with given membership functions. The fuzzy dynamic analysis is conducted with help of fuzzy arithmetic defined on the so-called ${\alpha}$-cuts. The results of the analysis are also obtained in the form of fuzzy numbers, which compared to the stochastic methods is less computationaly expensive while at the same time they still provide information about the distribution of a quantity. This method is demonstrated on an analysis of a two-dimensional frame subjected to possible seismic load, where the uncertain eigenmodes and eigenfrequencies are used in the modal analysis.

키워드

과제정보

연구 과제 주관 기관 : Czech Science Foundation

참고문헌

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피인용 문헌

  1. Climber-Inspired Fuzzy Logic Approach to Crack Localization Using Image Analysis vol.13, pp.2, 2015, https://doi.org/10.3151/jact.13.103
  2. Time-variant structural fuzzy reliability analysis under stochastic loads applied several times vol.55, pp.3, 2015, https://doi.org/10.12989/sem.2015.55.3.525
  3. Fuzzy modeling of combined effect of winter road maintenance and cyclic loading on concrete slab bridge vol.62-63, 2013, https://doi.org/10.1016/j.advengsoft.2013.04.008
  4. Material Study of a Short Seismic Link in a Dissipative Structure of a Vertical Industrial Boiler vol.623, pp.1662-7482, 2014, https://doi.org/10.4028/www.scientific.net/AMM.623.10