2009
DOI: 10.1002/stc.259
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A novel method of searching appropriate ranges of base isolation design parameters through entropy-based classification

Abstract: This paper proposes an idea of selecting the proper ranges of design parameters for modifying the responses of base-isolated systems. Parametric analysis of base isolation designs on seismic protection is generally achieved through multiple adjustments of system parameters based on the observations of system responses, but applying such procedures is very time consuming. If the ranges of inputs (design parameters) could be reasonably estimated earlier to obtain suitable outputs (structural responses), then the… Show more

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Cited by 10 publications
(3 citation statements)
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“…önerilen metotlardan bir tanesi izolasyon parametrelerinin belirli koşullara göre optimize edilmesidir. İzolasyon parametrelerinin en uygun çözümü için veri madenciliği [11], uygunluk kriteri metodu [12], yapay sinir ağları [13], stokastik analizi [14] gibi farklı yöntemlerin kullanıldığı birçok çalışma bulunmaktadır. Bu çalışmaların haricinde problemlerin global optimum noktalarını bulmak için geliştirilmiş yarı-sezgisel algoritmaların kullanıldığı çalışmalar da yapılmıştır.…”
Section: Sismikunclassified
“…önerilen metotlardan bir tanesi izolasyon parametrelerinin belirli koşullara göre optimize edilmesidir. İzolasyon parametrelerinin en uygun çözümü için veri madenciliği [11], uygunluk kriteri metodu [12], yapay sinir ağları [13], stokastik analizi [14] gibi farklı yöntemlerin kullanıldığı birçok çalışma bulunmaktadır. Bu çalışmaların haricinde problemlerin global optimum noktalarını bulmak için geliştirilmiş yarı-sezgisel algoritmaların kullanıldığı çalışmalar da yapılmıştır.…”
Section: Sismikunclassified
“…However, obtaining the best performance from a seismic isolation system requires a true optimization employing an optimization scheme which takes into account the possibility of the structure being subjected to both near-fault and far-fault earthquakes. Besides other alternative proposals such as the use of an NSGA-II non-dominated sorting genetic algorithm (Pourzeynali and Zarif 2008) or the use of Shannon entropy, which is a data-mining method that can classify the proper and improper ranges of isolation system parameters (Huang, Wan, and Yen 2009), harmony search (HS) optimization (Geem, Kim, and Loganathan 2001)-a metaheuristic algorithm which, to the best of authors' knowledge, has not been considered in the optimization of seismic isolation systems before-may provide a viable solution. HS is a memory-based random search optimization method that uses a stochastic random Downloaded by [Florida Atlantic University] at 10:33 21 November 2014 search that can handle optimization problems with discrete variables .…”
Section: Introductionmentioning
confidence: 99%
“…Huang et al . used entropy‐based classification (EBC), a data mining tool, to modify the preliminary ranges of design parameters in base‐isolated models. They not only developed proper strategies (increasing or decreasing tendencies of the systems' parameters) but also found appropriate cutting points for the parameters' preliminary design ranges.…”
Section: Introductionmentioning
confidence: 99%