Zobrazeno 1 - 10
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pro vyhledávání: '"van der Meer, F"'
Autor:
Kovács, N., Maia, M. A., Rocha, I. B. C. M., Furtado, C., Camanho, P. P., van der Meer, F. P.
The growing use of composite materials in engineering applications has accelerated the demand for computational methods to accurately predict their complex behavior. Multiscale modeling based on computational homogenization is a potentially powerful
Externí odkaz:
http://arxiv.org/abs/2410.13774
In this work, a hybrid physics-based data-driven surrogate model for the microscale analysis of heterogeneous material is investigated. The proposed model benefits from the physics-based knowledge contained in the constitutive models used in the full
Externí odkaz:
http://arxiv.org/abs/2404.17583
Modeling of progressive high-cycle fatigue in composite laminates accounting for local stress ratios
A numerical framework for simulating progressive failure under high-cycle fatigue loading is validated against experiments of composite quasi-isotropic open-hole laminates. Transverse matrix cracking and delamination are modeled with a mixed-mode fat
Externí odkaz:
http://arxiv.org/abs/2403.05356
Simulating the mechanical response of advanced materials can be done more accurately using concurrent multiscale models than with single-scale simulations. However, the computational costs stand in the way of the practical application of this approac
Externí odkaz:
http://arxiv.org/abs/2402.13101
In this work we present a hybrid physics-based and data-driven learning approach to construct surrogate models for concurrent multiscale simulations of complex material behavior. We start from robust but inflexible physics-based constitutive models a
Externí odkaz:
http://arxiv.org/abs/2301.13547
Driven by the need to accelerate numerical simulations, the use of machine learning techniques is rapidly growing in the field of computational solid mechanics. Their application is especially advantageous in concurrent multiscale finite element anal
Externí odkaz:
http://arxiv.org/abs/2209.07320
Concurrent multiscale finite element analysis (FE2) is a powerful approach for high-fidelity modeling of materials for which a suitable macroscopic constitutive model is not available. However, the extreme computational effort associated with computi
Externí odkaz:
http://arxiv.org/abs/2007.07749
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Akademický článek
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Publikováno v:
In International Journal of Applied Earth Observation and Geoinformation February 2019 74:180-190