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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 Steel and Composite Structures, An International Journal Steel and Composite Structures, An International Journal Vol.29 No.6
- 발행연도
- 2018.1
- 수록면
- 749 - 758 (10page)
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초록· 키워드
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This article derived a hybrid coupling technique using the higher-order displacement polynomial and three soft computing techniques (teaching learning-based optimization, particle swarm optimization, and artificial bee colony) to predict the optimal stacking sequence of the layered structure and the corresponding frequency values. The higher-order displacement kinematics is adopted for the mathematical model derivation considering the necessary stress and stain continuity and the elimination of shear correction factor. A nine noded isoparametric Lagrangian element (eighty-one degrees of freedom at each node) is engaged for the discretisation and the desired model equation derived via the classical Hamilton.s principle. Subsequently, three soft computing techniques are employed to predict the maximum natural frequency values corresponding to their optimum layer sequences via a suitable home-made computer code. The finite element convergence rate including the optimal solution stability is established through the iterative solutions. Further, the predicted optimal stacking sequence including the accuracy of the frequency values are verified with adequate comparison studies. Lastly, the derived hybrid models are explored further to by solving different numerical examples for the combined structural parameters (length to width ratio, length to thickness ratio and orthotropicity on frequency and layer-sequence) and the implicit behavior discuss in details.
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참고문헌 (40)
참고문헌 신청
Aagaah, M. R. / 2006 / Natural frequencies of laminated composite plates using third order shear deformation theory / Compos. Struct 72(3):273~279
Kumar, A. / 2017 / Parametric appraisal and optimization in machining of CFRP composites by using TLBO(teaching–learning based optimization algorithm) / J. Intel. Manuf 28(8):1769~1785
Apalak, M. K. / 2008 / Layer optimisation for maximum fundamental frequency of laminated composite plates for different edge conditions / Compos. Sci. Technol 68(2):537~550
Apalak, M. K. / 2014 / The artificial bee colony algorithm in layer optimization for the maximum fundamental frequency of symmetrical laminated composite plates / Eng. Optimiz 46(3):420~437
Bargh, H. G. / 2012 / Stacking sequence optimization of composite plates for maximum fundamental frequency using particle swarm optimization algorithm / Meccanica 47(3):719~730
Kumar, A. / 2017 / Parametric appraisal and optimization in machining of CFRP composites by using TLBO(teaching–learning based optimization algorithm) / J. Intel. Manuf 28(8):1769~1785
Apalak, M. K. / 2008 / Layer optimisation for maximum fundamental frequency of laminated composite plates for different edge conditions / Compos. Sci. Technol 68(2):537~550
Apalak, M. K. / 2014 / The artificial bee colony algorithm in layer optimization for the maximum fundamental frequency of symmetrical laminated composite plates / Eng. Optimiz 46(3):420~437
Bargh, H. G. / 2012 / Stacking sequence optimization of composite plates for maximum fundamental frequency using particle swarm optimization algorithm / Meccanica 47(3):719~730
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