2013
DOI: 10.1016/j.jsv.2013.01.029
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Optimal damping layout in a shell structure using topology optimization

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Cited by 78 publications
(34 citation statements)
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“…Alvelid, 2008;Kim et al, 2013). However, manufacturing issues have to be considered in realization of the conceptual design suggested by the topology optimization solutions.…”
Section: Discussionmentioning
confidence: 99%
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“…Alvelid, 2008;Kim et al, 2013). However, manufacturing issues have to be considered in realization of the conceptual design suggested by the topology optimization solutions.…”
Section: Discussionmentioning
confidence: 99%
“…Kang et al (2012) proposed an artificial damping material model-based topology optimization method for minimizing the dynamic response under harmonic excitations, and this model is then extended to topology optimization of damping layers in sound radiation structures (Zhang and Kang, 2013). Kim et al (2013) optimized distribution of the damping material attached to a given host structure by maximizing the modal loss factor. Up to now, however, integrated topology optimization of load-bearing structures incorporating damping material layers has been rarely addressed.…”
Section: Introductionmentioning
confidence: 99%
“…점탄성 물질이 부착된 구조물의 모달 손실 계수 를 계산하기 위해서 modal strain energy(MSE) 기 법을 적용하였다 (2,5) . 모달 손실 계수는 '점탄성 물질 에 의한 손실 에너지'와 '전체 구조물의 에너지'의 비율이며, 다음과 같은 식으로 표현할 수 있다.…”
Section: Modal Strain Energy(mse)unclassified
“…In order to demonstrate the effectiveness and efficiency of RDVM topology optimization, optimal damping layouts and computational expenses are compared between conventional and RDVM topology optimization. 5,6) . …”
mentioning
confidence: 99%
“…The basic formulation of the macroscopic problem is similar to the one presented by Kim et al (2013), who use topology optimization to find the best layout of damping treatments on a cylindrical shell structure. Other similar formulations have been suggested by Ling et al (2011);El-Sabbagh and Baz (2014) for damping treatments of plane plate structures, but where the final designs contain large regions with intermediate densities.…”
Section: Macroscopic Optimization Problemmentioning
confidence: 99%