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A numerical and experimental study was presented on active control of structurally radiated sound from an elastic cylindrical shell.An analytical model was developed for the active structural acoustic control (ASAC) of the cylindrical shell.Both global and local control strategies were considered.The optimal control forces corresponding to each control strategy were obtained by using the linear quadratic optimal control theory.Numerical simulations were performed to examine and analyze the control performance under different control strategies.The results show that global sound attenuation of the cylindrical shell at resonance frequencies can be achieved by using point force as the control input of the ASAC system.Better control performance can be obtained under the control strategy of minimization of the radiated sound power.However,control spillover may occur at off-resonance frequencies with the control strategy of structural kinetic energy minimization in terms of the radiated sound power.Considerable levels of global sound attenuation can also be achieved in the on-resonance cases with the local control strategy,i.e.,minimization of the mean-square velocity of finite discrete locations.An ASAC experiment using an FXLMS algorithm was implemented,agreement was observed between the numerical and experimental results,and successful attenuation of structural vibration and radiated sound was achieved. 相似文献
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在结构焊接数值模拟中,运用热弹塑性有限元方法进行分析的主要问题是计算时间长、内存需求大.由于热影响区具有高度的非线性特征,温度、应力应变梯度较大,单元应当划分得很细;而远离焊缝的绝大部分区域仍然处于线弹性状态,单元可划分得相对较粗.这样就可对焊接构件不断进行网格重新划分,使细密的网格随着热源一起移动,从而减少计算的规模.研究了三维六面体网格重划分技术,进行不同网格之间的变量映射,实现模型网格重划分前后分析步的衔接.对平板和圆管的焊接分别进行了网格重划分和完整网格模型条件下的数值模拟,提取了焊接温度、焊接变形和残余应力.结果表明,网格重划分技术在保证计算精度的前提下,提高约30%的计算效率. 相似文献
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Robust optimization for emergency logistics planning: Risk mitigation in humanitarian relief supply chains 总被引:1,自引:0,他引:1
Aharon Ben-Tal Byung Do Chung Supreet Reddy Mandala Tao Yao 《Transportation Research Part B: Methodological》2011,45(8):1177-1189
This paper proposes a methodology to generate a robust logistics plan that can mitigate demand uncertainty in humanitarian relief supply chains. More specifically, we apply robust optimization (RO) for dynamically assigning emergency response and evacuation traffic flow problems with time dependent demand uncertainty. This paper studies a Cell Transmission Model (CTM) based system optimum dynamic traffic assignment model. We adopt a min–max criterion and apply an extension of the RO method adjusted to dynamic optimization problems, an affinely adjustable robust counterpart (AARC) approach. Simulation experiments show that the AARC solution provides excellent results when compared to deterministic solution and sampling based stochastic programming solution. General insights of RO and transportation that may have wider applicability in humanitarian relief supply chains are provided. 相似文献