Simple shear methodology for local structure–property relationships of sheet metals: State-of-the-art and open issues

G Han, J He, S Li, Z Lin - Progress in Materials Science, 2024 - Elsevier
Simple shear presents a local material structure–property relationship and plays an
important role in the development of material design, mechanical modeling, and …

[HTML][HTML] On the importance of self-consistency in recurrent neural network models representing elasto-plastic solids

C Bonatti, D Mohr - Journal of the Mechanics and Physics of Solids, 2022 - Elsevier
Recurrent neural networks could serve as surrogate material models, removing the gap
between component-level finite element simulations and numerically costly microscale …

Strain rate and temperature dependent fracture of aluminum alloy 7075: Experiments and neural network modeling

KS Pandya, CC Roth, D Mohr - International Journal of Plasticity, 2020 - Elsevier
Complex structural components made from 7xxx series alloys are usually manufactured
through hot stamping due to their low ductility at room temperature. With the help of a custom …

[HTML][HTML] Plasticity and fracture of cast and SLM AlSi10Mg: High-throughput testing and modeling

CC Roth, T Tancogne-Dejean, D Mohr - Additive Manufacturing, 2021 - Elsevier
Both additively-manufactured and cast metals are known to exhibit stochastic mechanical
properties at the macroscopic level. Using a robot-assisted mechanical testing system, more …

[HTML][HTML] Counterexample-trained neural network model of rate and temperature dependent hardening with dynamic strain aging

X Li, CC Roth, C Bonatti, D Mohr - International Journal of Plasticity, 2022 - Elsevier
Constitutive models dealing with the thermal and visco-plasticity of metals have seen wide
applications in the automotive industry. A basic plasticity and fracture characterization of a …

[HTML][HTML] Neural network based rate-and temperature-dependent Hosford–Coulomb fracture initiation model

X Li, CC Roth, D Mohr - International Journal of Mechanical Sciences, 2023 - Elsevier
The accurate description of the strain rate and temperature dependent response of metals is
a perpetual quest in crashworthiness and forming applications. In the present study …

A probabilistic mean-field and microstructure based finite element modeling for predicting mechanical and ductile fracture behavior of the cast aluminum alloy

W Jeong, C Kim, CA Lee, HJ Bong, SH Hong… - International Journal of …, 2022 - Elsevier
A multiscale finite element simulation approach based on the probabilistic mean-field
method is proposed to predict the strength and ductile fracture of the cast aluminum (Al) …

Rate-and temperature-dependent plasticity of additively manufactured stainless steel 316L: Characterization, modeling and application to crushing of shell-lattices

X Li, CC Roth, T Tancogne-Dejean, D Mohr - International Journal of Impact …, 2020 - Elsevier
A combined numerical and experimental investigation is carried out on the quasi-static and
high strain rate response of additively manufactured stainless steel 316L obtained through …

[HTML][HTML] Modelling of stress-state-dependent ductile damage with gradient-enhancement exemplified for clinch joining

J Friedlein, J Mergheim, P Steinmann - … of the Mechanics and Physics of …, 2025 - Elsevier
A coupled finite plasticity ductile damage and failure model is proposed for the finite element
simulation of clinch joining, which incorporates stess-state dependency and regularisation …

[HTML][HTML] Semi-automatic miniature specimen testing method to characterize the plasticity and fracture properties of metals

T Beerli, CC Roth, D Mohr - Acta Materialia, 2024 - Elsevier
Miniature-testing is essential to characterize the plastic response of materials for which the
extraction of conventional full-size specimens is impossible. Examples are weld regions with …