https://scholars.lib.ntu.edu.tw/handle/123456789/598516
標題: | Benchmark examples for data-driven site characterisation | 作者: | Phoon K.-K Shuku T Ching J Yoshida I. JIAN-YE CHING |
關鍵字: | benchmark examples;data-centric geotechnics;data-driven site characterisation (DDSC);GLasso;virtual ground | 公開日期: | 2022 | 來源出版物: | Georisk | 摘要: | 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. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122888894&doi=10.1080%2f17499518.2022.2025541&partnerID=40&md5=a5330739f5e2e21f574f44e26911e040 https://scholars.lib.ntu.edu.tw/handle/123456789/598516 |
ISSN: | 17499518 | DOI: | 10.1080/17499518.2022.2025541 |
顯示於: | 土木工程學系 |
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