Session Details

土木分野におけるAIの活用(その8)

Fri. Sep 6, 2024 1:00 PM - 2:20 PM JST
Fri. Sep 6, 2024 4:00 AM - 5:20 AM UTC
第2講義室(経済学部)(川内南キャンパス文科系総合講義棟)
Chair: Hiroshi Fukumori

[CS14-51]Estimation of ground structure by machine learning using H/V spectral ratio

Taisei Takada1, *Tetsuo Tobita1 (1. Kansai University)

[CS14-52]Research and development on geological evaluation and prediction of rock falling of tunnel faces using AI : Practical Application of prediction of rock falling of tunnel faces using Machine Learning Models(Part2)

*Shigeru Miki1, Yoshikawa Tadashi2, Takuji Yamamoto2, Kenji Hashidate2, Kazuhiro Kawahara2, Takanori Nomura3, Sho Taniguchi4, Suguru Shirasagi5, Shinya Ueoka6, Yasuhito Tsujikawa7 (1. Kiso-Jiban Consultants Co., Ltd., 2. Advanced Construction Technology Center, 3. NSW Inc., 4. HAZAMA ANDO CORPORATION, 5. KAJIMA CORPORATION, 6. SHIMIZU CORPORATION, 7. TODA CORPORATION)

[CS14-53]Research and Development on Advancement of Ground Freezing Technology - Automation of Permafrost Formation Drawing Utilizing AI-

*Tadashi Yoshikawa1, Kenji Hashidate1, Kazuhiro Kawahara1, Hiroshi Soma2, Shioya Yuuta2, Rotaro Koike2, Seiichiro Nishi3, Yasuhiro Maejima2 (1. advanced construction technology center, 2. CHEMICAL GROUTING CO., LTD., 3. SEIWA RENEWAL WORKS All Rights Reserved.)

[CS14-54]An investigation into the applicability of machine learning models for predicting the spatial distribution of seismic motion

*Keigo Tsukioka1, Naoyasu Iwata1 (1. Railway Technical Research Institute)

[CS14-55]Influence of Validation Methods on the Estimation of Void Ratio of Holocene Clay off Kobe Using Artificial Intelligence

*Maki Shigeta1, Yua Fujita1, Kazuhiro Oda1, Shoko Yamamoto2, Masahiro Kondo2, Toru Inui3 (1. Osaka Sangyo University, 2. WEST JAPAN CONSULTANTS COMPANY, 3. Osaka University)

[CS14-56]Experimental verification of accuracy in predicting consolidation settlement using PINN

*Shiori Kubo1, Mayuko Nishio2, Junya Inoue3, Takashi Miyamoto4, Pang-jo Chun3 (1. Kagawa University, 2. University of Tsukuba, 3. The University of Tokyo, 4. University of Yamanashi)

[CS14-57]Classification of Geotechnical Information by UMAP and Attempts to Select Representative Models for Numerical Analysis

*Ayaka Nakatsuji1, Hiroyuki Goto1, Silvana Montoya-Noguera2 (1. Kyoto University, 2. EAFIT)