collaborators

6 papers

cs.CE2026

Full-Field Calibration of Coupled Thermomechanical Material Models at Finite Strain

L. River Spencer, William D. Meador, Adrian Buganza Tepole +5

Calibrating thermomechanical material models from experiments is challenging because deformation, temperature, and force responses are strongly coupled, while measurements are usua…

math.NA2025

A Note on the Reliability of Goal-Oriented Error Estimates for Galerkin Finite Element Methods with Nonlinear Functionals

Brian N. Granzow, Stephen D. Bond, D. Thomas Seidl +1

We consider estimating the discretization error in a nonlinear functional in the setting of an abstract variational problem: find such that $B(u,φ) = L(…

cs.CE2025

Thermodynamically Consistent Hybrid and Permutation-Invariant Neural Yield Functions for Anisotropic Plasticity

Asghar A. Jadoon, Ravi G. Patel, Brian N. Granzow +3

Plastic anisotropy in metals remains challenging to model. This is partly because conventional phenomenological yield criteria struggle to combine a highly descriptive, flexible re…

math.NA2025

An Efficient Second-Order Adaptive Procedure for Inserting CAD Geometries into Hexahedral Meshes using Volume Fractions

Brian N. Granzow, Stephen D. Bond, Michael J. Powell +1

This paper is concerned with inserting three-dimensional computer-aided design (CAD) geometries into meshes composed of hexahedral elements using a volume fraction representation.…

math-ph2025

A General, Automated Method for Building Structural Tensors of Arbitrary Order for Anisotropic Function Representations

Ravi G. Patel, Reese E. Jones, D. Thomas Seidl +2

We present a general, constructive procedure to find the basis for tensors of arbitrary order subject to linear constraints by transforming the problem to that of finding the nulls…

cs.CE2025

A comparative study of calibration techniques for finite strain elastoplasticity: Numerically-exact sensitivities for FEMU and VFM

Sanjeev Kumar, D. Thomas Seidl, Brian N. Granzow +2

Accurate identification of material parameters is crucial for predictive modeling in computational mechanics. The two primary approaches in the experimental mechanics' community fo…