An approach of joint probability assessment for multi-attribute mechanical design optimization
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Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Kaunas Univ Technology Press
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this work, a novel practical approach of joint probability assessment to be used for probabilistic optimization of the obtained design data from finite element analysis or experimental studies is proposed. The applicability and efficiency of the proposed approach are demonstrated by conducting a case study, which is the design of a leaf spring for automobiles. At the result of the example design process, performances of design optimizations conducted with different distributions (normal, uniform, Weibull and lognormal) are compared, and it is observed that it allows us to practically and accurately focus on the most feasible design space, and to explicitly see the most probable optimum design points that can be directly used for the multi-attribute design problem. Besides, the opportunity to select the type of distribution for a better optimization performance is another important contribution of this work.
Açıklama
21st International Scientific Conference MECHANIKA 2016 -- MAY 12-13, 2016 -- Kaunas Univ Technol, Kaunas, LITHUANIA
WOS:000378823300035
WOS:000378823300035
Anahtar Kelimeler
Design Optimization, Joint Probability, Probabilistic Optimization
Kaynak
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Mayda, M. (2016). An approach of joint probability assessment for multi-attribute mechanical design optimization. Mechanika 2016: Proceedings Of The 21st International Scientific Conference.
