Machine learning-enabled identification of micromechanical stress and strain hotspots predicted via dislocation density-based crystal plasticity simulations
The present work uses a full-field crystal plasticity model with a first principles-informed
dislocation density (DD) hardening law to identify the key microstructural features correlated …
dislocation density (DD) hardening law to identify the key microstructural features correlated …
Creep failure of hierarchical materials
Creep failure of hierarchical materials is investigated by simulation of beam network models.
Such models are idealizations of hierarchical fibrous materials where bundles of load …
Such models are idealizations of hierarchical fibrous materials where bundles of load …
Prediction of long-term creep modulus of thermoplastics using brief tests and interpretable machine learning
H Lobato, C Cernuda, K Zulueta, A Arriaga… - International Journal of …, 2024 - Elsevier
The prediction of creep behavior plays a critical role in the design of thermoplastic materials
intended for prolonged use. The creep modulus, which describes the relationship between …
intended for prolonged use. The creep modulus, which describes the relationship between …
Tuning load redistribution and damage near heterogeneous interfaces
We investigate interface failure of model materials representing architected thin films in
contact with heterogeneous substrates. We find that, while systems with statistically isotropic …
contact with heterogeneous substrates. We find that, while systems with statistically isotropic …
[HTML][HTML] Predicting creep behavior in composites from microstructural features using deep learning
A Gu, S Sang - AIP Advances, 2024 - pubs.aip.org
This study uses a multilayer perceptron deep learning model to predict creep strain vs time
curves in composite materials based on their microstructural features. Finite element …
curves in composite materials based on their microstructural features. Finite element …
Predicting creep failure life in adhesive-bonded single-lap joints using machine learning
Accurately predicting the creep failure life of bonded joints, particularly single-lap adhesive
joints (SLAJs), remains a significant challenge, requiring considerable time and resources …
joints (SLAJs), remains a significant challenge, requiring considerable time and resources …
Corner Load Sharing in the Fiber Bundle Model
E Lundheim - 2023 - ntnuopen.ntnu.no
Å forstå bruddmekanikk kan føre til sterkere matrial og tryggere bygninger. Bruddmekanikk
er årsaken til at vinduer på fly er avrundet, og hvorfor taco-krydder-poser har små hakk på …
er årsaken til at vinduer på fly er avrundet, og hvorfor taco-krydder-poser har små hakk på …