Structural Engineering and Mechanics

  • 제43권6호
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  • Pages.771-794
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  • 2012
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Multi-objective optimal design of laminate composite shells and stiffened shells

  • Lakshmi, K. (CSIR-Structural Engineering Research Centre) ;
  • Rama Mohan Rao, A. (CSIR-Structural Engineering Research Centre)
  • 투고 : 2011.10.07
  • 심사 : 2012.08.09
  • 발행 : 2012.09.25
⟨ 이전 논문 다음 논문 ⟩

초록

This paper presents a multi-objective evolutionary algorithm for combinatorial optimisation and applied for design optimisation of fiber reinforced composite structures. The proposed algorithm closely follows the implementation of Pareto Archive Evolutionary strategy (PAES) proposed in the literature. The modifications suggested include a customized neighbourhood search algorithm in place of mutation operator to improve intensification mechanism and a cross over operator to improve diversification mechanism. Further, an external archive is maintained to collect the historical Pareto optimal solutions. The design constraints are handled in this paper by treating them as additional objectives. Numerical studies have been carried out by solving a hybrid fiber reinforced laminate composite cylindrical shell, stiffened composite cylindrical shell and pressure vessel with varied number of design objectives. The studies presented in this paper clearly indicate that well spread Pareto optimal solutions can be obtained employing the proposed algorithm.

키워드

참고문헌

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피인용 문헌

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  2. Multi-objective optimal design of laminated composite skirt using hybrid NSGA vol.48, pp.6, 2013, https://doi.org/10.1007/s11012-012-9676-5
  3. Material optimization of functionally graded heterogeneous cylinder for wave propagation vol.50, pp.25, 2016, https://doi.org/10.1177/0021998315622051
  4. Robust optimization of reinforced concrete folded plate and shell roof structure incorporating parameter uncertainty vol.56, pp.5, 2015, https://doi.org/10.12989/sem.2015.56.5.707
  5. Multi-objective optimal design of composite box beam using hybrid adaptive harmony search with dynamically reconfigurable harmony memory pp.2041-2983, 2019, https://doi.org/10.1177/0954406218761486