Rockfalls trajectography: 3D models predictive capability assessment and coefficients calibration using optimization-based processes

被引：1
作者：
Raibaut, Fantin [1 ]
Ivanez, Olivier [2 ]
Douthe, Cyril [3 ]
Barry, Benjamin [4 ]
机构：
[1] IRS, 16 Ch Saquier, F-06200 Nice, France
[2] TERZATEC, 67 Av Verdun, F-06360 Eze, France
[3] Ecole Ponts, Lab Navier, 14-20 Bd Newton, F-77420 Champs Sur Marne, France
[4] AEGIS GRP, 39 Av Teiras, F-06300 Nice, France
来源：
ENGINEERING GEOLOGY | 2025年 / 348卷
关键词：
Rockfalls hazard; 3D trajectographic simulations; Predictive capability; Coefficients calibration; Optimization; Wasserstein distance; Mesh Adaptive Direct Search; ROCK; FRAGMENTATION; TRAJECTORIES; PROTECTION; SIMULATION; HAZARD; FIELD;
D O I：
10.1016/j.enggeo.2025.107937
中图分类号：
P5 [地质学];
学科分类号：
0709 ; 081803 ;
摘要：
This paper presents a method for assessing the predictive capability of three-dimensional (3D) trajectographic simulation models by back-analysis of real rockfall events. Relying on the Optimal Transport theory, we measure the difference between observed and simulated rock stop points distributions with the Wasserstein distance: this metric can be seen as a measure of the mean distance between observed an simulated stop points. We use the Wasserstein distance as a cost function in a Black Box optimization algorithm to calibrate soil restitution and energy dissipation coefficients. We test our methodology with the RocPro3D software to simulate a man-triggered boulder detachment, for which the final position of fragmented rocks is known. The calibrated simulation parameters enabled a 25% decrease in the mean prediction error.
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页数：11
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