Accelerating large-scale topology optimization: state-of-the-art and challenges
S Mukherjee, D Lu, B Raghavan, P Breitkopf… - … Methods in Engineering, 2021 - Springer
Large-scale structural topology optimization has always suffered from prohibitively high
computational costs that have till date hindered its widespread use in industrial design. The …
computational costs that have till date hindered its widespread use in industrial design. The …
Modelling of environmental ageing of polymers and polymer composites—modular and multiscale methods
Service lifetimes of polymers and polymer composites are impacted by environmental
ageing. The validation of new composites and their environmental durability involves costly …
ageing. The validation of new composites and their environmental durability involves costly …
Digital twin: Values, challenges and enablers from a modeling perspective
Digital twin can be defined as a virtual representation of a physical asset enabled through
data and simulators for real-time prediction, optimization, monitoring, controlling, and …
data and simulators for real-time prediction, optimization, monitoring, controlling, and …
Digital twin: Values, challenges and enablers
A digital twin can be defined as an adaptive model of a complex physical system. Recent
advances in computational pipelines, multiphysics solvers, artificial intelligence, big data …
advances in computational pipelines, multiphysics solvers, artificial intelligence, big data …
[HTML][HTML] Probabilistic deep learning for real-time large deformation simulations
For many novel applications, such as patient-specific computer-aided surgery, conventional
solution techniques of the underlying nonlinear problems are usually computationally too …
solution techniques of the underlying nonlinear problems are usually computationally too …
Real-time simulation of contact and cutting of heterogeneous soft-tissues
This paper presents a numerical method for interactive (real-time) simulations, which
considerably improves the accuracy of the response of heterogeneous soft-tissue models …
considerably improves the accuracy of the response of heterogeneous soft-tissue models …
Multiscale continuous and discontinuous modeling of heterogeneous materials: a review on recent developments
This paper reviews the recent developments in the field of multiscale modelling of
heterogeneous materials with emphasis on homogenization methods and strain localization …
heterogeneous materials with emphasis on homogenization methods and strain localization …
Microstructure-guided deep material network for rapid nonlinear material modeling and uncertainty quantification
Modeling nonlinear materials with arbitrary microstructures and loading paths is crucial in
structural analyses with heterogeneous materials with uncertainty. However, it is …
structural analyses with heterogeneous materials with uncertainty. However, it is …
[HTML][HTML] Micromechanics-based surrogate models for the response of composites: A critical comparison between a classical mesoscale constitutive model, hyper …
Although being a popular approach for the modeling of laminated composites, mesoscale
constitutive models often struggle to represent material response for arbitrary load cases. A …
constitutive models often struggle to represent material response for arbitrary load cases. A …
[HTML][HTML] On-the-fly construction of surrogate constitutive models for concurrent multiscale mechanical analysis through probabilistic machine learning
Concurrent multiscale finite element analysis (FE 2) is a powerful approach for high-fidelity
modeling of materials for which a suitable macroscopic constitutive model is not available …
modeling of materials for which a suitable macroscopic constitutive model is not available …