Data-driven models for crashworthiness optimisation: intrusive and non-intrusive model order reduction techniques

C Czech, M Lesjak, C Bach, F Duddeck - Structural and Multidisciplinary …, 2022 - Springer
To enable multi-query analyses, such as optimisations of large-scale crashworthiness
problems, a numerically efficient model is crucial for the development process. Therefore …

Accelerating structural dynamics simulations with localised phenomena through matrix compression and projection‐based model order reduction

K Agathos, K Vlachas, A Garland… - International Journal for …, 2024 - Wiley Online Library
In this work, a novel approach is introduced for accelerating the solution of structural
dynamics problems in the presence of localised phenomena, such as cracks. For this …

[HTML][HTML] Adaptive and variable model order reduction method for fracture modelling using explicit time integration

J Selvaraj, SR Hallett - Computer Methods in Applied Mechanics and …, 2024 - Elsevier
Damage modelling in modern material architectures using explicit time integration is a
computationally expensive task. To reduce such expenses, model training methods based …

A hyper-reduction computational method for accelerated modeling of thermal cycling-induced plastic deformations

S Kaneko, H Wei, Q He, JS Chen… - Journal of the Mechanics …, 2021 - Elsevier
For materials under cyclic thermal loadings, temperature and strain rate-dependent creep
deformation can occur due to the thermal expansion mismatch near material interfaces …

A multi-field decomposed model order reduction approach for thermo-mechanically coupled gradient-extended damage simulations

Q Zhang, S Ritzert, J Zhang, J Kehls, S Reese… - arXiv preprint arXiv …, 2024 - arxiv.org
Numerical simulations are crucial for comprehending how engineering structures behave
under extreme conditions, particularly when dealing with thermo-mechanically coupled …

POD-Galerkin FSI Analysis for Flapping Motion

S Kaneko, S Yoshimura - Biomimetics, 2023 - mdpi.com
FSI simulations of flapping motions have been widely investigated to develop a flapping-
wing micro air vehicle. Because an intensive parametric study is important for the product …

Data driven prognosis of fracture dynamics using tensor train and Gaussian process regression

PLT Duong, S Hussain, MH Jhon, N Raghavan - IEEE Access, 2020 - ieeexplore.ieee.org
Accurate prediction of the mechanical failure of structural components plays an important
role in the design of engineering structures. However, the fracture process is challenging to …

Parallel Computing with the Thick Level Set Method

LAT Mororó, FP van der Meer - SIAM Journal on Scientific Computing, 2021 - SIAM
The thick level set (TLS) method has been proposed as a nonlocal damage model for the
modeling of failure in solids being able to deal with crack initiation, branching, and merging …

A Physics-Based Reduction with Monitoring Data Assimilation for Adaptive Representations in Structural Systems

K Vlachas, K Tatsis, C Martinez, E Chatzi - … 3: Proceedings of the 40th IMAC …, 2022 - Springer
Digital twin representations have become an indispensable tool for delivering data-informed
virtualizations of operating systems, especially in structural health monitoring applications. In …

On a new variant of Arnoldi method for approximation of eigenpairs

B Feng, G Wu - Journal of Computational and Applied Mathematics, 2022 - Elsevier
The Arnoldi method is a commonly used technique for finding a few eigenpairs of large,
sparse and nonsymmetric matrices. Recently, a new variant of Arnoldi method (NVRA) was …