activity
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

collaborators

11 papers

math.PR2026

Sums of two dependent uniform random variables: a characterization by joint tail bounds

Prashant Chaudhary, Kapil Khandelwal

Which laws can the sum of two uniform random variables have when nothing is known about how they depend on each other? For three or more uniform summands, convex order gives the an…

math.AC2026

Sumsets regularity versus Castelnuovo-Mumford regularity for monomial curves

Prashant Chaudhary, Kapil Khandelwal

Let be integers with greatest common divisor , let be the projective monomial curve they define, and let be the Casteln…

math.OC2026

Inverse knapsack at two capacities: which pairs of value-cardinality hulls are realizable?

Prashant Chaudhary, Kapil Khandelwal

One item set evaluated at two capacities produces two concave hulls of optimal value against cardinality. We ask which prescribed pairs arise. Exchange arguments give a neces…

cs.MM2026

Trigger Timing, Deadline Readiness, and Event-Aligned Accounting for Dynamic Ad Insertion

Prashant Chaudhary, Kapil Khandelwal

Dynamic ad insertion comparisons can conflate trigger, reach, readiness, playback, billability and measurement even when the accounting is arithmetically correct. We separate these…

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.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…