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Titlebook: State of the Art and Future Trends in Material Modeling; Holm Altenbach,Andreas ?chsner Book 2019 Springer Nature Switzerland AG 2019 effi

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發(fā)表于 2025-4-1 03:50:44 | 只看該作者
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發(fā)表于 2025-4-1 09:51:21 | 只看該作者
Advanced Numerical Models for Predicting the Load and Environmentally Dependent Behaviour of Adhesiwhen designing bonded structures and modelling the long-term behaviour of an adhesive joint, necessitating the development of advanced models, able to introduce a variable degree of degradation as a function of several environmental variables. This work presents a description of several cohesive zon
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發(fā)表于 2025-4-1 12:46:07 | 只看該作者
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發(fā)表于 2025-4-1 15:25:34 | 只看該作者
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發(fā)表于 2025-4-1 21:25:16 | 只看該作者
An Artificial Intelligence-based Hybrid Method for Multi-layered Armour Systems,ations for the protective structure. The proposed deep learning model is a neural network which is trained using experimental results and analytical data, to understand the ballistic response of a specific material, and predict the residual velocity for a given impact velocity, layer thickness and m
66#
發(fā)表于 2025-4-2 02:43:06 | 只看該作者
Hencky Strain and Logarithmic Rate for Unified Approach to Constitutive Modeling of Continua,lectrons, etc. These suggest that both Hencky strain and the co-rotational logarithmic rate play a unified role in modeling large elastic and inelastic deformation behaviors of a wide variety of continua covering usual metals and alloys, shape memory alloys, polymeric solids and, perhaps unexpectedl
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