Physics-constrained data-driven computing is an emerging computational paradigm that
allows simulation of complex materials directly based on material database and bypass the …

A parametric adaptive physics-informed greedy Latent Space Dynamics Identification
(gLaSDI) method is proposed for accurate, efficient, and robust data-driven reduced-order …

Finite element method (FEM) is commonly used with topology optimization algorithms to
determine optimum topology of load-bearing structures. However, it may possess various …

Auxetic materials with negative Poisson's ratio have potential applications across a broad
range of engineering fields. Several FE based design techniques have been developed to …

The morphing wing with large deformation can benefit its flight performance a lot in different
conditions. In this study, a variable camber morphing wing with compliant leading and …

In the present work, we intend to show how to perform structural topology optimization under
finite deformation with the use of explicit geometry description. To this end, a Moving …

The moving morphable component (MMC)-based method is a newly developed approach
for topology optimization. In the MMC-based method, the design problem is formulated using …

Additive Manufacturing (AM) users rely on experiments and experience to predict the
performance of AM processes. This trial and error approach for qualifying AM parts takes …

This paper presents a new fully-automated adaptation strategy for structural topology
optimization (TO) methods. In this work, TO is based on the SIMP method on unstructured …

Soft network materials with biomimetic mechanical properties such as a negative Poisson's
ratio have important applications in tissue engineering, biomedical devices, and soft …