지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2014.1
- 수록면
- 2,053 - 2,058 (6page)
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This paper is focused on an optimal design of two degree of freedom (2-DOF) dynamic vibrationabsorber (DVA) for the simply supported damped beam subject to a harmonic force excitation. In orderto achieve this aim, we first show how to define the objective function of optimal design problem for2-DOF DVA. Second, we apply the cyclic topology-based particle swarm optimization (PSO) to find theoptimal design parameters of 2-DOF DVA. Finally, some numerical results are compared with those ofconventional researches, which demonstrates a reliability of the proposed design method.
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참고문헌 (9)
참고문헌 신청
D.H., Song / 2011 / A Study on Distributed Particle Swarm Optimization Algorithm with Quantum -infusion mechanism / Proceedings of KIIS Fall Conference 2011 21 (2) : 115 ~ 116
M. Febbo / 2008 / Optimization of a Two Degree of Freedom System Acting as a Dynamic Vibration Absorber / Journal of Vibration and Acoustic 130 : 011013-1 ~ 011013-11
Ormondroyd, J. / 1932 / The theory of the Dynamic vibration Absorber / Trans. ASME 50 (7) : 9 ~ 22
R. G. Jacquot / 1978 / Systems Optimal Dynamic Absorbers for General Beam Systems / Journal of Sound and Vibration 60 (4) : 535 ~ 542
Sedlaczek, K. / 2006 / Using augumented lagrangian particle swarm optimization for constrained problems in engineering / Structural and Multidisciplinary Optimization 32 (4)
M. Febbo / 2008 / Optimization of a Two Degree of Freedom System Acting as a Dynamic Vibration Absorber / Journal of Vibration and Acoustic 130 : 011013-1 ~ 011013-11
Ormondroyd, J. / 1932 / The theory of the Dynamic vibration Absorber / Trans. ASME 50 (7) : 9 ~ 22
R. G. Jacquot / 1978 / Systems Optimal Dynamic Absorbers for General Beam Systems / Journal of Sound and Vibration 60 (4) : 535 ~ 542
Sedlaczek, K. / 2006 / Using augumented lagrangian particle swarm optimization for constrained problems in engineering / Structural and Multidisciplinary Optimization 32 (4)
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