Innovative solutions in Geotechnical Engineering Practice through Data-driven and Computational Methods
Dr Negin Yousefpour
Domination of computational power across all industries have accelerated particularly in the past decade with further development of high-performance and cloud computing, as well as emerging AI and ML methods. This talk will showcase geotechnical applications where data-driven and computational modeling, such as AI and 3D FEM have provided innovative, breakthrough solutions.
Applications that will be discussed include bridge scour forecast and rock post-failure prediction using advanced monitoring data, LS-DYNA modeling for advanced soil-structure interaction analysis of high-speed rail embankments, irregular bridge foundations, and seismic retrofitting of masonry buildings. At the end, benefits and obstacles of integrating these technics in Geotechnical Practice will be discussed.
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