A review on data-driven constitutive laws for solids
This review article highlights state-of-the-art data-driven techniques to discover, encode,
surrogate, or emulate constitutive laws that describe the path-independent and path …
surrogate, or emulate constitutive laws that describe the path-independent and path …
Digital volume correlation: review of progress and challenges
Abstract 3D imaging has become popular for analyzing material microstructures. When time
lapse series of 3D pictures are acquired during a single experiment, it is possible to …
lapse series of 3D pictures are acquired during a single experiment, it is possible to …
[HTML][HTML] Automated discovery of generalized standard material models with EUCLID
We extend the scope of our recently developed approach for unsupervised automated
discovery of material laws (denoted as EUCLID) to the general case of a material belonging …
discovery of material laws (denoted as EUCLID) to the general case of a material belonging …
Virtual, digital and hybrid twins: a new paradigm in data-based engineering and engineered data
Engineering is evolving in the same way than society is doing. Nowadays, data is acquiring
a prominence never imagined. In the past, in the domain of materials, processes and …
a prominence never imagined. In the past, in the domain of materials, processes and …
A survey of Bayesian calibration and physics-informed neural networks in scientific modeling
FAC Viana, AK Subramaniyan - Archives of Computational Methods in …, 2021 - Springer
Computer simulations are used to model of complex physical systems. Often, these models
represent the solutions (or at least approximations) to partial differential equations that are …
represent the solutions (or at least approximations) to partial differential equations that are …
Automatic detection of fatigue crack paths using digital image correlation and convolutional neural networks
T Strohmann, D Starostin‐Penner… - Fatigue & Fracture of …, 2021 - Wiley Online Library
The occurrence of fatigue cracks is an inherent part of the design of engineering structures
subjected to nonconstant loads. Thus, the accurate description of cracks in terms of location …
subjected to nonconstant loads. Thus, the accurate description of cracks in terms of location …
mCRE-based parameter identification from full-field measurements: Consistent framework, integrated version, and extension to nonlinear material behaviors
In this paper, we address the effective and robust identification of material behavior
parameters from full-field measurements obtained by means of the advanced Digital Image …
parameters from full-field measurements obtained by means of the advanced Digital Image …
Enhancing phenomenological yield functions with data: challenges and opportunities
The formulation of history-dependent material laws has been a significant research and
industrial activity in solid mechanics for over a century. A large variety of models has been …
industrial activity in solid mechanics for over a century. A large variety of models has been …
Optimal procedure for the identification of constitutive parameters from experimentally measured displacement fields
Measured displacement fields constitute a rich database for the identification of mechanical
behavior. A variety of methods are available today to address this problem. A formalism is …
behavior. A variety of methods are available today to address this problem. A formalism is …
An algorithm for structural health monitoring by digital image correlation: Proof of concept and case study
In the field of structural health monitoring, the use of Digital Image Correlation (DIC) on
relevant surfaces offers remarkable advantages. Such a method is presented herein. The …
relevant surfaces offers remarkable advantages. Such a method is presented herein. The …