Geo-Risk 2023 - Innovation in Data and Analysis Methods

Selected papers from Geo-Risk 2023, held in Arlington, Virginia, July 23-26, 2023. Sponsored by the Geo-Institute of ASCE. GSP 345 contains 46 peer-reviewed papers on innovation in data and analysis methods in geotechnical engineering. Topics include: data-driven and probabilistic site characterizat...

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Bibliographische Detailangaben
Hauptverfasser:	Ching, Jianye, Najjar, Shadi, Wang, Lei
Format:	Buch
Sprache:	eng
Schlagworte:	Civil Engineering Civil Engineering & Construction Materials Earth Sciences Geotechnical Engineering
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	Selected papers from Geo-Risk 2023, held in Arlington, Virginia, July 23-26, 2023. Sponsored by the Geo-Institute of ASCE. GSP 345 contains 46 peer-reviewed papers on innovation in data and analysis methods in geotechnical engineering. Topics include: data-driven and probabilistic site characterization; big data, artificial intelligence, and ML in geoengineering; computational methods for geotechnical uncertainty quantification; modeling and risk assessment; and application of Bayesian methods in geotechnical engineering. This collection will be of interest to a wide range of geoprofessionals, including engineers, contractors, academicians, geotechnologists, researchers, and software developers.