Geo-Risk 2023 : Innovation in Data and Analysis Methods.
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| Author / Creator: | Ching, Jianye. |
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| Imprint: | Reston : American Society of Civil Engineers, 2023. |
| Description: | 1 online resource ( 457 p..) |
| Language: | English |
| Series: | Geotechnical Special Publications ; v.345 |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/13415130 |
| Summary: | 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. |
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| Physical Description: | 1 online resource ( 457 p..) |
| ISBN: | 9780784484975 078448497X |
