個別要素法による粒状体流解析における重要なパラメータの組み合わせ(DEM10・第59回技術討論会特集)

• 資料種別: 記事
• タイトル: 個別要素法による粒状体流解析における重要なパラメータの組み合わせ
• 著者・編者: 森口 周二; 肖 珺森
• シリーズタイトル: DEM10・第59回技術討論会特集
• 著者標目: 森口 周二; 肖 珺森
• 並列タイトル等: Critical Combinations of Input Parameters in DEM Granular Flow Analysis
• タイトル（掲載誌）: 粉体工学会誌 = Journal of the Society of Powder Technology, Japan / 粉体工学会 編
• 巻号年月日等（掲載誌）: 63(6)=685:2026
• 掲載巻: 63
• 掲載号: 6
• 掲載通号: 685
• 掲載ページ: 242-246
• 掲載年月日（W3CDTF）: 2026
• ISSN（掲載誌）: 0386-6157
• ISSN-L（掲載誌）: 0386-6157
• 出版事項（掲載誌）: 京都 : 粉体工学会
• 出版地（国名コード）: JP
• 本文の言語コード: jpn
• 件名標目: Distinct element method; Granular flow; Runout distance; Input parameter; Critical combination
• NDLC: ZP5
• 対象利用者: 一般
• 所蔵機関: 国立国会図書館
• 請求記号: Z17-38
• 連携機関・データベース: 国立国会図書館 : 国立国会図書館雑誌記事索引; https://ndlsearch.ndl.go.jp
• 書誌ID（NDLBibID）: 034792379; http://id.ndl.go.jp/bib/034792379
• 整理区分コード: 632

• 要約等: <p>Granular flow is a typical phenomenon that arises in slope disasters such as landslides and debris flows, and its runout distance is closely associated with the resulting damage. Therefore, predicting and evaluating the runout distance is essential for disaster prevention and mitigation. In recent years, the discrete element method (DEM), which can reproduce particle-scale behavior, has been widely utilized for such risk assessment. However, the runout distance of granular flow varies depending on many physical parameters and exhibits strong randomness, making its analysis challenging. The authors have previously published a study that investigated combinations of DEM parameters that are critical for efficiently estimating the maximum runout distance of granular flow through a series of DEM simulations. Specifically, dominant DEM parameters were first identified, and the relationship between their combinations and the runout distance was then analyzed. This article provides an explanatory overview of that study.</p>
• DOI: 10.4164/sptj.63.242
• オンライン閲覧公開範囲: インターネット公開
• 連携機関・データベース: 科学技術振興機構 : J-STAGE; http://www.jstage.jst.go.jp

• 要約等: <p>Granular flow is a typical phenomenon that arises in slope disasters such as landslides and debris flows, and its runout distance is closely associated with the resulting damage. Therefore, predicting and evaluating the runout distance is essential for disaster prevention and mitigation. In recent years, the discrete element method (DEM), which can reproduce particle-scale behavior, has been widely utilized for such risk assessment. However, the runout distance of granular flow varies depending on many physical parameters and exhibits strong randomness, making its analysis challenging. The authors have previously published a study that investigated combinations of DEM parameters that are critical for efficiently estimating the maximum runout distance of granular flow through a series of DEM simulations. Specifically, dominant DEM parameters were first identified, and the relationship between their combinations and the runout distance was then analyzed. This article provides an explanatory overview of that study.</p>
• DOI: 10.4164/sptj.63.242; https://doi.org/10.4164/sptj.63.242
• 関連情報（URI）: http://id.ndl.go.jp/bib/034792379; https://ndlsearch.ndl.go.jp/books/R000000004-I034792379; https://www.jstage.jst.go.jp/article/sptj/63/6/63_63.242/_pdf
• 参照: Sensitivity analysis on critical combinations of input parameters in DEM granular flow analysis; https://cir.nii.ac.jp/crid/1360306905617736192; Round robin test on angle of repose: DEM simulation results collected from 16 groups around the world; https://cir.nii.ac.jp/crid/1360580229827382784; A numerical study on the effects of particle size distribution on run-out distance of granular flow; https://cir.nii.ac.jp/crid/1360584339753024640; Experimental data of 3D printed granular material for verification of discrete element modeling simulation; https://cir.nii.ac.jp/crid/1360580232183927680; XGBoost; https://cir.nii.ac.jp/crid/1360574093948568704; A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code; https://cir.nii.ac.jp/crid/1362262943470502528; A particle method for history-dependent materials; https://cir.nii.ac.jp/crid/1364233270782801280; Two dimensional discontinuous deformation analysis; https://cir.nii.ac.jp/crid/1360574093787031168; A discrete numerical model for granular assemblies; https://cir.nii.ac.jp/crid/1360855570104515072; Smoothed particle hydrodynamics: theory and application to non-spherical stars; https://cir.nii.ac.jp/crid/1362262945425411200
• 連携機関・データベース: 国立情報学研究所 : CiNii Research; https://cir.nii.ac.jp/
• 提供元機関・データベース: Japan Link Center; https://japanlinkcenter.org/top; 雑誌記事索引データベース; https://ndlsearch.ndl.go.jp; Crossref; https://www.crossref.org
• 書誌ID（NDLBibID）: 034792379; http://id.ndl.go.jp/bib/034792379