MoSES_2PDF: A GIS-Compatible GPU-accelerated High-Performance Simulation Tool for Grain-Fluid Shallow Flows

Ko, Chi-Jyun; Chen, Po-Chih; Wong, Hock-Kiet; Tai, Yih-Chin

doi:10.48550/arxiv.2104.06784

Cited by 1 publication

(4 citation statements)

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“…It should be noted that, in the GA-ER-ICS process, a significantly more extensive translation range (17 × 17 grids) is taken into account in the search process, compared to that in the exhaustive method (7 × 7 grids for the ICS-D in [20]). The proposed GA-ER-ICS method and the GPU-accelerated simulation tool [26] facilitate a highly efficient hazard assessment system, which is currently under development. We intend to report updates on the system in due time.…”

Section: Discussion and Concluding Remarksmentioning

confidence: 99%

“…For reference landslide volumes, we took the measured amount (21,180,535 m 3 ) in the Hsiaolin case and 348,581 m 3 (estimated by the volume-area empirical relation suggested in [30]) for the Kuanghua-T002 case. The consequent flow paths of the released landslide masses were computed using a GPU-accelerated simulation tool (MoSES_2PDF in [26]). The values of the material parameters used for computation were identical to those presented in [20], as collected in Table A1.…”

Section: Numerical Investigation and Application In A Landslide-prone...mentioning

confidence: 99%

“…In the GPU-accelerated simulation tool (MoSES_2PDF [26]), there are five material parameters (α ρ , δ b , C d , N R , ϑ b ) and one initial concentration, φ s 0 , for the flow body to be set (cf. Tai et al [38]).…”

Section: Institutional Review Board Statement: Not Applicablementioning

confidence: 99%

“…The application to landslide-prone areas demonstrates another advantage of the GA-ER-ICS approach, in that the failure surface can be mimicked in a flexible manner for various scenarios. All of the selected ICSs with the corresponding released volumes of landslide mass are integrated into a GPU-accelerated simulation tool (MoSES_2PDF [26]), in order to investigate the impacts of various ICSs on their consequent flow paths.…”

Section: Introductionmentioning

confidence: 99%

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An Approach for Preliminary Landslide Scarp Assessment with Genetic Algorithm (GA)

Wang

Wong

et al. 2022

Water

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For the investigation of landslide mass movement scenarios through numerical simulation, a well-defined released mass and a precise initial source area are required as prerequisites. In the present study, we present a genetic algorithm-based approach for preliminarily assessing the landslide scarp when the local field data are limited, using an ellipse-referenced idealized curved surface (ER-ICS)—a smooth surface constructed with respect to an ellipse. According to a specified depth at the center, there are two distinct curvatures along the major and minor axes, respectively. To search for the most appropriate ICS, the reference ellipse is translated, rotated, and/or side-tilted to achieve the optimal orientation for meeting the best fitness to the assigned condition (delineated area or failure depths). The GA approach may significantly enhance the efficiency, by reducing the number of candidate ICSs and notably relaxing the searching ranges. The proposed GA-ER-ICS method is examined and shown to be feasible, by mimicking the source area of a historical landslide event and through application to a landslide-prone site. In addition to evaluating the fitness of the ICS-covered area with respect to the source scarp, the impacts of various ICSs on the flow paths are investigated as well.

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Section: Discussion and Concluding Remarksmentioning

confidence: 99%