*FURUKAWA TAKAHITO¹, Keigo Koizumi¹, Atsushi Takahashi², Maiko Katakuse², Shinichi Akutagawa³ (1. Osaka University, 2. KANSO Technos, 3. Kobe University)

[21-12-1-08] Determinig by AI of Terrain Modification for Basic investigation Based on Act on Sediment Disaster Countermeasures for Sediment Disaster Prone Areas

*DEN NISHIYAMA¹, MITSUHIRO WAKITA² (1. Kiso-Jiban Consultants Co., Ltd., 2. Hiroshima Prefecture Public Works and Construction Bureau Sediment Control Division)

Session information

斜面⑤

[21-12-1-01] Full-scale model experiment on the depth of application of the personal soil guard system for trench excavation.

[21-12-1-02] Machine Learning for Predicting Shear Stress from Plant Biopotential Responses.

[21-12-1-03] Evaluation of safety factor and yield seismic intensity of earth-fill dams using response surface method

[21-12-1-04] Analytical study on the dynamic behavior of embankments according to soil quality and climatic conditions

[21-12-1-05] Consideration of required counter force by modified Fellenius and Janbu method against slope stability

[21-12-1-06] Heating effect on the stability of a slump cone specimen of high-plasticity clay

[21-12-1-07] Result of applying the method focused on the rate of decrease in volumetric water content to estimate the depth of the slip surface to a real slope

[21-12-1-08] Determinig by AI of Terrain Modification for Basic investigation Based on Act on Sediment Disaster Countermeasures for Sediment Disaster Prone Areas

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