首页> 外文期刊>British Journal of Mathematics & Computer Science >DRBEM Sensitivity Analysis and Shape Optimization of Rotating Magneto-Thermo-Viscoelastic FGA Structures Using Golden-Section Search Algorithm Based on Uniform Bicubic B-Splines
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DRBEM Sensitivity Analysis and Shape Optimization of Rotating Magneto-Thermo-Viscoelastic FGA Structures Using Golden-Section Search Algorithm Based on Uniform Bicubic B-Splines

机译:基于均匀双三次B样条的黄金分割搜索算法的旋转磁热粘弹性FGA结构的DRBEM灵敏度分析和形状优化

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Aims: A practicalshape optimization technique is developed, using thedual reciprocity boundary element method (DRBEM) with the golden-section search algorithm based on uniform bicubic B-splines, for rotating magneto-thermo-viscoelastic functionally graded anisotropic (FGA) structures subjected to a moving heat source in the context of the Green and Naghdi theory of type III. Study Design: Original Research Paper. Place and Duration of Study: Jamoum University College, Mathematics Department, between July 2016 and August 2017. Methodology: An implicit-implicit staggered algorithm was proposed for use with the DRBEM to obtain the final DRBEM coupled linear system of equations for displacements and temperature that describe the magneto-thermo-viscoelastic structural analysis problem. An implicit differentiation of the discretized dual reciprocity boundary integral equation with respect to design variables is used to calculate shape displacement sensitivities of anisotropic materials with very high accuracy. This method allows the coupling between optimization technique and a dual reciprocity boundary element method. The feasible direction method was developed and implemented for use with the one-dimensional golden-section search technique based on uniform bicubic B-splines, as a numerical optimization method for minimizing weight while satisfying all of the constraints. Results: The optimum shape design of fillet in tension bars used as the numerical example in order to verify the formulation and the implementation of the proposed technique. The numerical results show our technique is efficient and precise. Conclusion: From the research that has been performed, it is possible to conclude that the optimal shape of the top half of the fillet under stress constraint based on magneto-thermo-viscoelasticity is crucial when magneto-thermoviscoelastic field is sensitive to boundary shape. Also from this knowledge of the variation of the displacements and temperature sensitivities with time for magneto-thermo-viscoelastic FGA structures, we can design various magneto-thermoviscoelastic structures to meet specific engineering requirements and utilize within which to place new information can be more effective.
机译:目的:使用双互易性边界元方法(DRBEM)和基于均匀双三次B样条的黄金分割搜索算法,开发出一种实用的形状优化技术,用于旋转磁热热粘弹性功能梯度各向异性(FGA)结构在格林和纳格第(III)型理论的背景下移动热源。研究设计:原始研究论文。研究的地点和时间:2016年7月至2017年8月,位于Jamoum大学学院,数学系。方法:提出了一种隐式-隐式交错算法与DRBEM一起使用,以获得最终的DRBEM耦合线性方程组的位移和温度方程,描述磁热粘弹性结构分析问题。离散双互易性边界积分方程相对于设计变量的隐式微分用于以非常高的精度计算各向异性材料的形状位移敏感性。该方法允许优化技术与对等互惠边界元方法之间的耦合。开发并实现了可行的方向方法,该方法与基于均匀双三次B样条的一维黄金分割搜索技术一起使用,是一种在满足所有约束的同时最小化权重的数值优化方法。结果:以张力杆的圆角的最佳形状设计为数值示例,以验证所提出技术的制定和实施。数值结果表明我们的技术是有效和精确的。结论:根据已进行的研究,可以得出结论,当磁热粘弹性场对边界形状敏感时,基于磁热粘弹性的应力约束下圆角的上半部的最佳形状至关重要。同样,根据对磁热粘弹性FGA结构的位移和温度敏感度随时间变化的了解,我们可以设计各种磁热粘弹性结构以满足特定的工程要求,并在其中利用新信息可以更加有效。

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