activity
20192025
most citedComputational Design of Finite Strain Auxetic Metamaterials via Topology Optimization and Nonlinear Homogenization

77 citations · 121 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CE2025

Finite Strain Robust Topology Optimization Considering Multiple Uncertainties

Nan Feng, Guodong Zhang, Kapil Khandelwal

This paper presents a computational framework for the robust stiffness design of hyperelastic structures at finite deformations subject to various uncertain sources. In particular,…

cs.CE2023★ 32 cited

Finite Strain Topology Optimization with Nonlinear Stability Constraints

Guodong Zhang, Kapil Khandelwal, Tong Guo

This paper proposes a computational framework for the design optimization of stable structures under large deformations by incorporating nonlinear buckling constraints. A novel str…

cs.LG2021★ 2 cited

On the Application of Data-Driven Deep Neural Networks in Linear and Nonlinear Structural Dynamics

Nan Feng, Guodong Zhang, Kapil Khandelwal

The use of deep neural network (DNN) models as surrogates for linear and nonlinear structural dynamical systems is explored. The goal is to develop DNN based surrogates to predict…

cs.CE2020★ 10 cited

Computational frameworks for homogenization and multiscale stability analyses of nonlinear periodic metamaterials

Guodong Zhang, Nan Feng, Kapil Khandelwal

This paper presents a consistent computational framework for multiscale 1st order finite strain homogenization and stability analyses of rate-independent solids with periodic micro…

cs.CE2019★ 77 cited

Computational Design of Finite Strain Auxetic Metamaterials via Topology Optimization and Nonlinear Homogenization

Guodong Zhang, Kapil Khandelwal

A novel computational framework for designing metamaterials with negative Poisson's ratio over a large strain range is presented in this work by combining the density-based topolog…