Shape design optimization of thermoelasticity problems using isogeometric boundary element method. (November 2020)

• Record Type: Journal Article
• Authors: Yoon, Minho; Lee, Jaewook; Koo, Bonyong
• Is Part Of: Advances in engineering software. Volume 149(2020)
• Publication Date: 2020-11
• Subjects: Weakly coupled thermoelasticity -- Shape design sensitivity -- Boundary integral equation -- Isogeometric boundary element method; Computer-aided engineering -- Periodicals; Engineering -- Computer programs -- Periodicals; Engineering -- Software -- Periodicals; Periodicals; 620.0028553
• DOI: 10.1016/j.advengsoft.2020.102871
• Languages: English
• ISSNs: 0965-9978

Abstract

Highlights: Continuum-based coupled shape design sensitivity derivation for thermoelastic structure in the framework of isogeometric boundary element method. Verification of isogeometric sensitivity and convergence in sensitivity using BEM. Unique industrial application examples on the coupled thermo-mechanical optimization problem. ABSTRACT: An integrated geometric design sensitivity (DSA) method for weakly coupled thermoelastic problems is developed in this study using boundary integral equations with an isogeometric approach that directly utilizes a CAD system's NURBS basis functions in response analysis. Thermomechanical coupling frequently creates thermoelastic behaviors in plants and nuclear systems and requires a structural optimization process that minimizes the overall weight and maximizes the system performance. To incorporate accurate geometries and higher continuities into the optimization process, we derive a shape design sensitivity equation using thermoelastic boundary integral equations within the isogeometric framework. In the boundary integral formulation, the shape design velocity field is decomposed into normal and tangential components, which significantly affects the accuracy of shape design sensitivity. Consequently, the developed isogeometric shape DSA method using thermoelastic boundary integral equations is more accurate compared with the analytic solution and the conventional DSA method. Utilizing the formulated isogeometric shape sensitivity as the gradient information of the objective function, isogeometric shape optimization examples for thermoelastic problems are presented. It is demonstrated that the derived isogeometric shape DSA using boundary integral equations are efficient and applicable.