[HTML][HTML] StressD: 2D Stress estimation using denoising diffusion model
Finite element analysis (FEA), a common approach for simulating stress distribution for a
given geometry, is generally associated with high computational cost, especially when high …
given geometry, is generally associated with high computational cost, especially when high …
Difference-based deep learning framework for stress predictions in heterogeneous media
H Feng, P Prabhakar - Composite Structures, 2021 - Elsevier
Stress analysis of heterogeneous media, like composite materials, using Finite Element
Analysis (FEA) has become commonplace in design and analysis. However, determining …
Analysis (FEA) has become commonplace in design and analysis. However, determining …
Bridging finite element and deep learning: High-resolution stress distribution prediction in structural components
Finite-element analysis (FEA) for structures has been broadly used to conduct stress
analysis of various civil and mechanical engineering structures. Conventional methods …
analysis of various civil and mechanical engineering structures. Conventional methods …
Inferring displacement fields from sparse measurements using the statistical finite element method
Nowadays, strain and displacement can be measured using techniques such as electronic
speckle pattern interferometry and digital image correlation. However, usually, only some …
speckle pattern interferometry and digital image correlation. However, usually, only some …
Graph Neural Networks (GNNs) based accelerated numerical simulation
C Jiang, NZ Chen - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Finite element method (FEM) based high-fidelity simulation can be computationally
demanding and time-consuming as engineering problems become more complicated. It is …
demanding and time-consuming as engineering problems become more complicated. It is …
Finite element solver for data-driven finite strain elasticity
A nominal finite element solver is proposed for data-driven finite strain elasticity. It bypasses
the need for a constitutive model by considering a database of deformation gradient/first …
the need for a constitutive model by considering a database of deformation gradient/first …
Estimation of the strain field from full-field displacement noisy data: comparing finite elements global least squares and polynomial diffuse approximation
In this study, the issue of reconstructing strain fields from corrupted full-field displacement
data is addressed. Two approaches are proposed, a global one based on Finite Element …
data is addressed. Two approaches are proposed, a global one based on Finite Element …
Direct strain tensor approximation for full‐field strain measurement methods
A Iliopoulos, JG Michopoulos - International Journal for …, 2013 - Wiley Online Library
Full‐field strain measurement techniques are based on computing the spatial derivatives of
numerical or functional approximations of the underlying displacement fields extracted from …
numerical or functional approximations of the underlying displacement fields extracted from …
Adaptive goal-oriented data sampling in Data-Driven Computational Mechanics
Data-Driven (DD) computing is an emerging field of Computational Mechanics, motivated by
recent technological advances in experimental measurements, the development of highly …
recent technological advances in experimental measurements, the development of highly …
Measuring stress field without constitutive equation
The present paper proposes a coupled experimental-numerical protocol to measure
heterogeneous stress fields in a model-free framework. This work contributes to developing …
heterogeneous stress fields in a model-free framework. This work contributes to developing …