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Topology optimization of large-scale structures subjected to stationary random excitation: An efficient optimization procedure integrating pseudo excitation method and mode acceleration method

机译:平稳随机激励作用下大型结构的拓扑优化:拟激励方法与模式加速方法相结合的有效优化程序

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Structural topology optimization related to dynamic responses under stationary random force excitation is investigated in this paper. It is shown that the commonly used Complete Quadratic Combination method (CQC) in previous optimization work is not only computationally expensive but also results in non-convergent design pattern due to the low computing accuracy of random responses for large-scale problems. To circumvent these difficulties, an efficient and accurate optimization procedure integrating the Pseudo Excitation Method (PEM) and Mode Acceleration Method (MAM) is introduced into the dynamic topology optimization. In this framework, random responses are calculated using the PEM to ascertain a high efficiency over the CQC. More importantly, the accuracy of random responses is improved indirectly by solving the pseudo harmonic responses involved in the PEM with the help of the MAM. Numerical examples fully demonstrate the validity of the developed optimization procedure and its potential applications in practical designs. (C) 2015 Elsevier Ltd. All rights reserved.
机译:研究了在随机随机力激励下与动态响应有关的结构拓扑优化。结果表明,在先前的优化工作中常用的完全二次组合法(CQC)不仅计算量大,而且由于对大规模问题的随机响应计算精度低,导致设计模式不收敛。为了避免这些困难,将伪激励方法(PEM)和模式加速方法(MAM)集成在一起的有效而准确的优化过程被引入到动态拓扑优化中。在此框架中,使用PEM计算随机响应,以确定在CQC上的高效率。更重要的是,借助MAM解决PEM中涉及的伪谐波响应,可以间接提高随机响应的精度。数值例子充分证明了所开发的优化程序的有效性及其在实际设计中的潜在应用。 (C)2015 Elsevier Ltd.保留所有权利。

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