[DS-8-01] Quantification of the Contribution Ratio of Input Parameters on DEM-based Granular Flow Simulations

*Moriguchi Shuji¹, Junsen Xiao¹, Kenta Tozato², Yu Otake¹, Kenjiro Terada¹ (1. Tohoku University, 2. Hachinohe Institute of Technology)

[DS-8-02] Numerical experiments for one-dimensional consolidation using Physics-Informed Neural Networks

*Ito Shinichi¹, Ryusei Fukunaga², Kazunari Sako², Kazuhiro Oda³ (1. Ritsumeikan University, 2. Kagoshima University, 3. Osaka Sangyo University)

[DS-8-03] Application of Physics-Informed Neural Networks to the unsaturated seepage simulations

*Ryusei Fukunaga¹, Shinichi Ito², Kazunari Sako¹ (1. KAGOSHIMA University, 2. RITSUMEIKAN University)

[DS-8-04] Inverse analysis of changes in hydraulic conductivity distribution on unsaturated slopes subjected to an earthquake

*Niira Shin¹, Uzuoka Ryosuke¹, Ueda Kyohei¹, Saito Kenta¹ (1. Kyoto University)

[DS-8-05] Advantage of simultaneous estimation of geometry and spatial field using Hamiltonian Monte Carlo

*Tatsuya Shibata¹, Michael Conrad Koch¹, Kazunori Fujisawa¹ (1. Kyoto University)

[DS-8-06] Machine learning prediction of slope failure on expressway due to heavy rainfall in Tohoku district

*Shogo Yonezawa¹, Tomoki Otsuka, Akiyoshi Kamura¹, Motoki Kazama¹ (1. Tohoku University)

[DS-8-07] Effect of structure of Deep learning on accuracy of estimation of unconfined compressive strength of Hollocene clay off Kobe

*Yuya Nakamura¹, Kazuhiro ODA¹, Shuhei Yamamoto¹, Shoko YAMAMOTO², Masahiro Kondoh², Tohru Inui³ (1. Osaka Sangyo University, 2. WEST JAPAN CONSULTANTS COMPANY, 3. Osaka University)

[DS-8-08] Estimation of unconfined compression strength considering its variation in the shallow ground in Osaka city by Deep Learning

*Komiyama Ryusei¹, Kazuhiro ODA¹, Yoshiya Shirota¹, Shoko YAMAMOTO², Masahiro Kondoh², Tohru Inui³ (1. Osaka Sangyo University, 2. WEST JAPAN CONSULTANTS COMPANY, 3. Osaka University)

[DS-8-09] Linear Regression Model of Pumice Particle Strength

*I Wayan Ariyana Basoka¹, Kiyonobu Kasama¹, Zentaro Furukawa¹ (1. Kyushu University)

[DS-8-10] Development of data bank of constitutive equation parameter
set for soil liquefaction analysis

*Baba Hidetoshi¹, Masayuki Horikoshi², Yosuke Higo¹, Yu Otake² (1. Kyoto University, 2. Tohoku University)

[DS-8-11] Estimation of soil properties of dikes based on database and Bayesian machine learning

*Nozomu Nagata¹, Shinichi Nishimura¹, Toshifumi Shibata¹, Takayuki Shuku¹ (1. Okayama University Graduate School)

[DS-8-12] Machine Learning Model for Predicting Spatial Distribution of Geotechnical Data by Bagging

*Yuxin Cong¹, koki Nakao¹, hirotsugu Akashi², shinya Inazumi¹ (1. Shibaura Insitute of Technology , 2. Meirin Kaihatsu Co.Ltd.)

Session information

DS-8 データサイエンスから探る地盤工学