https://scholars.lib.ntu.edu.tw/handle/123456789/598516
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Phoon K.-K | en_US |
dc.contributor.author | Shuku T | en_US |
dc.contributor.author | Ching J | en_US |
dc.contributor.author | Yoshida I. | en_US |
dc.contributor.author | JIAN-YE CHING | en_US |
dc.creator | Phoon K.-K;Shuku T;Ching J;Yoshida I. | - |
dc.date.accessioned | 2022-03-22T08:27:56Z | - |
dc.date.available | 2022-03-22T08:27:56Z | - |
dc.date.issued | 2022 | - |
dc.identifier.issn | 17499518 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122888894&doi=10.1080%2f17499518.2022.2025541&partnerID=40&md5=a5330739f5e2e21f574f44e26911e040 | - |
dc.identifier.uri | https://scholars.lib.ntu.edu.tw/handle/123456789/598516 | - |
dc.description.abstract | Decision making in geotechnical engineering is always related to a project carried out at a specific site. It is natural for data-driven site characterization (DDSC) to attract the most attention in data-centric geotechnics. This paper proposed eight benchmark examples and a benchmarking procedure to support unbiased and competitive evaluation of emerging ML methods. The primary goal of DDSC is to bring the value of a “data first” agenda to practice, specifically to produce a 3D stratigraphic map of the subsurface volume below a full-scale project site and to estimate relevant engineering properties at each spatial point based on site investigation data and other relevant Big Indirect Data (BID). A reasonable full-scale ground 20 m long × 20 m wide × 10 m deep is adopted. Virtual grounds containing horizontal, inclined, or discontinuous soil layers and spatially varying synthetic cone penetration test data are created to test the performance of DDSC methods over a range of ground conditions. A benchmark example is defined by a combination of a virtual ground (“reality”) and a training dataset (measured “reality”). An additional benchmark example based on actual CPT data is included to check whether performance under virtual ground conditions holds under real ground conditions. ? 2022 Informa UK Limited, trading as Taylor & Francis Group. | - |
dc.relation.ispartof | Georisk | - |
dc.subject | benchmark examples | - |
dc.subject | data-centric geotechnics | - |
dc.subject | data-driven site characterisation (DDSC) | - |
dc.subject | GLasso | - |
dc.subject | virtual ground | - |
dc.title | Benchmark examples for data-driven site characterisation | en_US |
dc.type | journal article | en |
dc.identifier.doi | 10.1080/17499518.2022.2025541 | - |
dc.identifier.scopus | 2-s2.0-85122888894 | - |
item.openairetype | journal article | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.fulltext | no fulltext | - |
item.grantfulltext | none | - |
crisitem.author.dept | Civil Engineering | - |
crisitem.author.orcid | 0000-0001-6028-1674 | - |
crisitem.author.parentorg | College of Engineering | - |
顯示於: | 土木工程學系 |
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