Suchergebnisse - deep conventional autoencoder finite element nonlinear problems~

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    A novel end-to-end deep learning model for predicting the full stress field of tensioned membrane structures von Xu, Junhao, Sheng, LingYu, Zhang, Yingying, Fei, Shuhuan, Zhao, Ziang

    ISSN: 1226-7988, 1976-3808
    Veröffentlicht: 대한토목학회 01.04.2025
    Veröffentlicht in KSCE Journal of Civil Engineering (01.04.2025)
    “… To overcome the constraints of conventional finite element analysis, particularly its inefficiency in handling real-time feedback due to repetitive modeling and calculations …”
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    Real-time optimal control of high-dimensional parametrized systems by deep learning-based reduced order models von Tomasetto, Matteo, Manzoni, Andrea, Braghin, Francesco

    ISSN: 2331-8422
    Veröffentlicht: Ithaca Cornell University Library, arXiv.org 09.09.2024
    Veröffentlicht in arXiv.org (09.09.2024)
    “… Full-order models based on, e.g., the Finite Element Method, do not meet these requirements due to the computational burden they usually entail …”
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