Topology Optimization of Nonlinear Structural and Material Systems

Doctoral Dissertation
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Abstract

Designing structures and metamaterials that can withstand large deformations while remaining fully operational are important in many engineering applications, e.g. compliant mechanisms and energy absorbing systems. In addition, the underlying constituent material behavior may also be inelastic, which is especially the case for design objectives such as energy absorption. Thus, computational design frameworks that can incorporate both geometric and material nonlinearities are needed for designing next generation of complex nonlinear systems.

This dissertation proposes novel frameworks for structural design under finite deformations based on density-based topology optimization. In particular, challenging issues such as mesh distortion and incompressible material interpolation are successfully addressed. Mesh distortion under finite deformations is handled by an adaptive linear energy interpolation scheme wherein linear energy is adaptively interpolated in the system until the convergence of finite element analysis is achieved. Hence, the completion of optimization iterations is ensured. In addition, since most of the materials that can undergo large deformations exhibit volume incompressibility, the incorporation of this constraint is important. Thus, appropriate incompressible material parameterizations by density are needed that can steer the optimizer towards optimized discrete topologies. To this end, this dissertation proposes an interpolation scheme for incompressible materials that is integrated with advanced finite elements based on mixed u/p and F-bar formulations to address volumetric locking. Moreover, as materials may behave inelastically under large deformations, novel frameworks are also developed to incorporate path-dependent (inelastic) constitutive models. The proposed computational design frameworks are used to explore the finite deformation stiffness and compliant mechanisms designs as well as energy absorbing structural designs.

Density-based topology optimization methods are also integrated with finite strain homogenization methods for nonlinear metamaterials design. Specifically, a novel finite strain homogenization is constructed using the principle of multiscale virtual power. This framework can consistently incorporate deformation-, stress- and mixed deformation/stress-driven homogenization scenarios. Moreover, as instabilities at micro or macro scales may occur in periodic metamaterials due to large deformations, multiscale stability investigations are carried out using the Bloch wave method. Using this multiscale computational design framework, metamaterials with negative Poisson’s ratio and optimal energy absorbing capacity under finite deformations are successfully discovered. In addition, the potential of the microscopic buckling oriented metamaterial designs is demonstrated through a series of exploratory studies.

Attributes

Attribute NameValues
Author Guodong Zhang
Contributor Kapil Khandelwal, Research Director
Degree Level Doctoral Dissertation
Degree Discipline Civil and Environmental Engineering and Earth Sciences
Degree Name Doctor of Philosophy
Banner Code
  • PHD-CEES

Defense Date
  • 2019-11-20

Submission Date 2019-11-26
Record Visibility Public
Content License
  • All rights reserved

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