WebJan 1, 2024 · Based on the soil data sets from TC304 database, a general approach is developed to predict the USS of soft clays using the two machine learning methods … WebBased on the soil data sets from TC304 database, a general approach is developed to predict the USS of soft clays using the two machine learning methods above, where five feature variables including the preconsolidation stress (PS), vertical effective stress (VES), liquid limit (LL), plastic limit (PL) and natural water content (W) are adopted.
TC303-Joint salon on liquefaction case history and database …
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TC304 Risk ISSMGE
WebWe present the current databases (nickname: 304dB) as shown in the following link, and we encourage the use of them to advance the state of the art and practice of the … WebWe present the current databases (nickname: 304dB) as shown in the following link, and we encourage the use of them to advance the state of the art and practice of the geotechnical profession; we also invite you to contact the task force leaders below if you are willing to contribute databases to this effort. http://140.112.12.21/issmge/tc304.htm http://140.112.12.21/issmge/tc304.htm gold coast airport car hire cheap