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Wenyu Cao, Benbo Sun and Pengxiao Wang
Rapidly developed deep learning methods, widely used in various fields of civil engineering, have provided an efficient option to reduce the computational costs and improve the predictive capabilities. However, it should be acknowledged that the applicat...
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Daniele Sivori, Laura Ierimonti, Ilaria Venanzi, Filippo Ubertini and Serena Cattari
Recent advances in computing performance and simulation tools allow today the development of high-fidelity computational models which accurately reproduce the structural behavor of existing structures. At the same time, advancements in sensing technology...
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Sara Touhami, Filippo Gatti, Fernando Lopez-Caballero, Régis Cottereau, Lúcio de Abreu Corrêa, Ludovic Aubry and Didier Clouteau
In this paper, we present SEM3D: a 3D high-fidelity numerical earthquake simulator that is tailored to predict the seismic wave field of complex earthquake scenarios from the fault to the epicenter site. SEM3D solves the wave-propagation problem by means...
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