Reliability-based Topology optimization via Parallel computing

• Main Authors: DUNG-EN HSIEH, 謝東恩
• Other Authors: Kuo-Wei LIAO
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/67576549272608480485

碩士 === 國立臺灣科技大學 === 營建工程系 === 101 === Reliability-based topology optimization (RBTO) incorporates reliability analysis with optimization to take the randomness in the design parameters into account. This strategy is inherently a double-loop procedure due to the probabilistic constraints in optimization. This study used the parallel computing technique to speed up the calculation time. The parallel computing is mainly applied to two areas: the assembly of the global stiffness and the reliability analysis. The reliability analysis used here is the mean value method (MV) and the optimizer adopted here is the Method of Moving Asymptotes (MMA). The accuracy and efficiency of the proposed approach are investigated through two numerical examples. A component reliability is considered in the first numerical example, while in the second example, a system reliability is considered. Results indicated that the proposed algorithm is able to deliver an optimal topology with predefined reliability in less time. However, more study is needed to improve the efficiency.