Interfacial shear stress optimization in sandwich beams with polymeric core using non-uniform distribution of reinforcing ingredients. (February 2015)

• Record Type: Journal Article
• Authors: Ghasemi, Hamid; Kerfriden, Pierre; Bordas, Stéphane P.A.; Muthu, J.; Zi, Goangseup; Rabczuk, Timon
• Is Part Of: Composite structures. Volume 120(2015)
• Page Start: 221
• Page End: 230
• Publication Date: 2015-02
• Subjects: Optimization -- Sandwich beam -- NURBS -- Material interface -- Isogeometric Analysis (IGA); Composite construction -- Periodicals; Composites -- Périodiques; 624.18
• DOI: 10.1016/j.compstruct.2014.10.005
• Languages: English
• ISSNs: 0263-8223

Abstract

Abstract: Core shearing and core/face debonding are two common failure states of sandwich beams which are mainly the result of excessive shear stresses in the core. Generally, the core made of homogeneous Fiber Reinforced Polymer (FRP) shows better shear resistance in comparison with that made of pure polymer. Usually, this enhancement is however somewhat limited. This paper proposes a methodology to decrease interfacial stresses by presenting the optimal distribution of reinforcing ingredients in the polymeric matrix. For this purpose, a Non-Uniform Rational B-spline (NURBS) based reinforcement distribution optimizer is developed. This technique aims at the local stress minimization within any arbitrary zone of the design domain. In our methodology, optimization and model analysis (calculation of the objective function and the design constraints) have common data sets. The quadratic NURBS basis functions smoothly define the reinforcement distribution function as a NURBS surface. The core and face sheets are modeled as multi-patches and compatibility in the displacement field is enforced by the penalty method. An adjoint sensitivity method is devised to minimize the objective function within areas of interest defined over arbitrary regions in the design domain. It is also used for efficient updating of design variables through optimization iterations. The method is verified by several examples.