Abstract：At present, the clamp layout optimization design of aero-engine piping system is mostly deterministic optimization, without considering the uncertainties such as clamp stiffness and manual assembly error. The fluctuation of these uncertainties may cause the output response of piping system to have a large deviation from the expected value, thus causing system failure. In order to improve the vibration performance of aero-engine piping system and ensure the piping system has strong reliability and robustness, a robust optimization design method for clamp layout is proposed in this paper, taking Z-type piping as the research object, which aims to avoid the excitation frequency and reduce the dispersion of vibration frequency. Firstly, shell element and spring element are used to model the tube body and clamp respectively. Then, the Latin hypercube sampling of the design parameters is carried out, the natural frequency of the samples is calculated by finite element model, and the high precision neural network proxy model of frequency response is constructed. Finally, Monte Carlo simulation and improved non-dominated genetic algorithm were used to carry out robust optimization design of clamp support position. The results show that the proposed method can effectively improve the robustness of dynamic characteristics on the basis of ensuring that the piping system avoids the design requirement of excitation frequency.
孙一冰，王晓伟. 基于神经网络的Z型管路多目标稳健优化设计[J]. 振动与冲击, 2023, 42(24): 194-203.
SUN Yibing,WANG Xiaowei. Multi objective robust optimization design of a Z-type pipeline based on neural network. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(24): 194-203.
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