Isogeometric Analysis for Topology Optimisation of Two Dimensional Planar and Laminated Composite Plate Continuum Structures

K. Chandrasekhar, Bhikshma, N. Rakesh, N. Swapnareddy, C. Rakesh
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Abstract

Isogeometric analysis is the recent development in the field of engineering analysis with high performance computing and greater precision.  This current research has opened a new door in the field of structural optimisation.  The main focus of this research study is to perform topology optimisation of continuum structures in civil engineering using Isogeometric analysis. The continuum structures analysed here in this study are reinforced concrete, steel and laminated composite plates.  Reinforced concrete is a rational union of concrete and steel.  Topology optimisation of reinforced concrete structures is an emerging area of study to determine the optimal layout of material in the concrete domain.  Laminated structures are made of several layers of material and bonded to achieve high stiffness and low weight to strength ratio. The deformed shape at the optimal state can be determined with topology optimisation of laminated composites.  The formulation for composite plates is done using kirchoff thin plate theory without any shear contribution.  B-splines are used to model the geometry.  The objective is to optimise the energy of the structure and optimality criteria is used to calculate the newer values of relative densities.  First order sensitivity analysis is performed to determine the newer values of objective function.  The code is written in MatLab® and a few problems have been solved with different domains.  The results are verified and have shown a good agreement with those in the literature.
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二维平面和层合复合材料板连续体结构拓扑优化的等几何分析
等几何分析是工程分析领域的新发展,具有高性能计算和更高的精度。目前的研究为结构优化领域打开了一扇新的大门。本研究的主要重点是利用等几何分析对土木工程中的连续体结构进行拓扑优化。本研究分析的连续体结构为钢筋混凝土、钢筋和层压复合板。钢筋混凝土是混凝土与钢的合理结合。钢筋混凝土结构的拓扑优化是一个新兴的研究领域,以确定混凝土领域中材料的最佳布局。叠层结构由多层材料粘合而成,以达到高刚度和低重量强度比。通过层合复合材料的拓扑优化,可以确定层合复合材料在最佳状态下的变形形状。复合板的计算公式采用无剪切贡献的基尔霍夫薄板理论。b样条用于几何建模。目标是优化结构的能量,并使用最优性标准来计算相对密度的新值。通过一阶灵敏度分析确定目标函数的更新值。代码是用MatLab®编写的,并在不同的领域解决了一些问题。所得结果经过验证,与文献相符。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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