بهینه سازی توپولوژی بهینه از مشکلات کشش حرارتی با استفاده از روش تجزیه و تحلیل حساسیت الحاقی درست توأم
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|25816||2005||15 صفحه PDF||سفارش دهید||5394 کلمه|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Finite Elements in Analysis and Design, Volume 41, Issue 15, September 2005, Pages 1481–1495
We develop a unified and efficient adjoint design sensitivity analysis (DSA) method for weakly coupled thermo-elasticity problems. Design sensitivity expressions with respect to thermal conductivity and Young's modulus are derived. Besides the temperature and displacement adjoint equations, a coupled field adjoint equation is defined regarding the obtained adjoint displacement field as the adjoint load in the temperature field. Thus, the computing cost is significantly reduced compared to other sensitivity analysis methods. The developed DSA method is further extended to a topology design optimization method. For the topology design optimization, the design variables are parameterized using a bulk material density function. Numerical examples show that the DSA method developed is extremely efficient and the optimal topology varies significantly depending on the ratio of mechanical and thermal loadings.
A topology design optimization method helps designers to find a suitable material layout to achieve required performances. Ever since Bendsøe and Kikuchi  introduced a topology optimization method using a homogenization method, many topology optimization methods have been developed in many disciplines . Since the topology optimization method involves many design variables, a gradient-based optimization method is generally preferred. Therefore, it is important that the sensitivity of performance measures with respect to design variables should be determined in a very efficient way. In the continuum DSA approach, the design sensitivity expressions are obtained by taking the first-order variation of the continuum variational equation . In this paper, we will address the thermo-elasticity problems including both heat conduction and elasticity. To simplify the problem, a weakly coupled thermo-elasticity problem in steady state is considered. The design sensitivity expressions for heat conduction and elasticity problems are derived. The adjoint variable method is employed for the efficient computation of design sensitivity. In developing the adjoint DSA method for the thermo-elasticity problems, besides the adjoint equations for temperature and displacement fields, a coupled field adjoint equation in the temperature field is defined regarding the obtained adjoint displacement field as an adjoint load. We only need one more adjoint response in the coupled field instead of the whole field of the temperature sensitivity. The adjoint DSA method developed is then applied to the topology optimization of a thermo-elastic solid. There are only a few literatures regarding topology optimization of thermal systems but quite a number of literatures on the shape DSA. Tortorelli et al. derived the shape design sensitivity for nonlinear transient heat conduction problems using a Lagrange multiplier method  and the adjoint method . Yang  derived the shape design sensitivity expressions of thermo-elasticity problems by applying a material derivative approach to temperature and displacement fields. Sluzalec et al.  employed a Kirchhoff transformation to derive shape design sensitivity expressions for nonlinear heat conduction problems using the adjoint variable method. Bobaru et al.  employed an element-free Galerkin method in the DSA of thermo-elastic solids and applied it to thermal shape optimization problems. Jog performed a topology optimization for nonlinear thermo-elasticity with the perimeter method . Li et al.  performed a discrete topology optimization using the ESO method. The remainder of this paper is organized as follows: in Section 2, the governing equations for both heat conduction and elasticity problems are discussed. Weak formulations for the weakly coupled thermo- elasticity problems in steady state are derived. In Section 3, continuum-based DSA methods are formulated for the weakly coupled thermo-elasticity problems using the adjoint variable method in continuum form. In Section 4, a topology optimization method is formulated for the thermo-elasticity problem where the developed adjoint DSA method is applied. The penalization and parameterization methods of design variables are discussed. In Section 5, several numerical examples are presented to verify the accuracy of the proposed analytical DSA method compared with the finite difference sensitivity. Then, the efficiency of the developed method is discussed. The results of topology design optimization show very satisfactory results. Finally, concluding remarks are given in the last section.
نتیجه گیری انگلیسی
In this paper, we have derived variational equations for the weakly coupled thermo-elasticity problems in steady state, where temperature and displacement fields are described in a common domain. Also, a topology design optimization method has been formulated by applying the adjoint DSA method. In developing the adjoint variable methods for the thermo-elasticity problems, in addition to the temperature and displacement adjoint equations, we defined a coupled field adjoint equation in the temperature field where the obtained adjoint displacement field is regarded as an adjoint load. Only one additional adjoint response in the coupled field is needed instead of the whole field of the temperature sensitivity. One of the merits of this method is that computational cost is significantly reduced because three adjoint systems and already factorized system matrices are utilized. For the topology design optimization, the design variables are parameterized in terms of a bulk material density function. Through several numerical examples, we have verified the accuracy of the developed analytical DSA method using finite differencing. The developed DSA method has been found to yield very accurate sensitivity results. Comparing the efficiency of the developed method, we found that the developed method required less than 1.4% of CPU costs that are required for the DDM. Also, the topology optimization has been shown to yield different topologies depending on the ratio of the thermal and mechanical loadings exerted on the system.