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20192026
most citedComputational Design of Finite Strain Auxetic Metamaterials via Topology Optimization and Nonlinear Homogenization

77 citations · 121 across the 7 of their papers we have counts for

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Showing cs.CEShow all

6 papers · 1 filter

cs.CE2025

Structural Symmetry, Multiplicity, and Differentiability of Eigenfrequencies

Shiyao Sun, Kapil Khandelwal

This work investigates the multiplicity and differentiability of eigenfrequencies in structures with various symmetries. In particular, the study explores how the geometric and des…

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.CE2025

A cluster mean approach for topology optimization of natural frequencies and bandgaps with simple/multiple eigenfrequencies

Shiyao Sun, Kapil Khandelwal

This study presents a novel approach utilizing cluster means to address the non-differentiability issue arising from multiple eigenvalues in eigenfrequency and bandgap optimization…

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.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…