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Iceberg-seabed interaction analysis in sand by a random forest algorithm
https://nipr.repo.nii.ac.jp/records/16985
https://nipr.repo.nii.ac.jp/records/16985b062f089-03fd-420c-b040-10538e0fea9a
Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2022-12-01 | |||||
タイトル | ||||||
タイトル | Iceberg-seabed interaction analysis in sand by a random forest algorithm | |||||
タイトル | ||||||
タイトル | Iceberg-seabed interaction analysis in sand by a random forest algorithm | |||||
言語 | en | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Iceberg-seabed interaction | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Sandy seabed | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Random forest | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Gradient boosting model | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Support vector regression | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
アクセス権 | ||||||
アクセス権 | metadata only access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
著者 |
Azimi, Hamed
× Azimi, Hamed× Shiri, Hodjat× Mahdianpari, Masoud |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Iceberg-seabed interaction that threatens subsea pipelines and structures is a challenging and costly engineering design aspect of Arctic offshore infrastructures. In this study, the sub-gouge soil deformation in the sand along with the keel reaction forces was simulated using Random Forest (RF) as a strong machine learning (ML) model and compared with the Gradient Boosting Model (GBM), and Support Vector Regression (SVR) as other alternatives. Nine RF models were built based on the most influential parameters and the best model was identified by performing a sensitivity analysis. The study showed that the proposed RF model outperformed its counterparts and proved to be a cost-effective and reliable alternative to assess the iceberg-seabed interaction in the sand, particularly at the early stages of the projects, where a fast and accurate estimation is required for planning the construction methodologies, logistics, and the scope of detailed engineering. | |||||
書誌情報 |
en : Polar Science p. 100902, 発行日 2022-12 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 18739652 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | https://doi.org/10.1016/j.polar.2022.100902 | |||||
関連名称 | 10.1016/j.polar.2022.100902 |