Japan Society of Civil Engineers 2026 Annual Meeting
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Session Details

Utilization of AI in the civil engineering field

土木分野におけるAIの活用（その5）

Thu. Sep 3, 2026 1:30 PM - 2:50 PM JST
Thu. Sep 3, 2026 4:30 AM - 5:50 AM UTC
Room D60, 6th Floor, Building 7 (Hokkai-Gakuen University)
1:30 PM - 1:40 PM JST(4:30 AM - 4:40 AM UTC)

[CS14-32]A Study on the Activation Function of Physics-informed Neural Network for One-Dimensional Percolation Flow Analysis

*Tomomi Yoshihira1, Yasunari Kijihira2, Shizuka Eshiro2, Tanawat Tangjarustritaratorn3, Yuusuke Miyazaki1 (1. Kansai University, 2. Kyoto University, 3. Chulalongkorn University)
1:40 PM - 1:50 PM JST(4:40 AM - 4:50 AM UTC)

[CS14-33]A Study on Landslide Surface Depth Setting by Generative AI

*Naoto Yoshino1 (1. Toda Corporation)
1:50 PM - 2:00 PM JST(4:50 AM - 5:00 AM UTC)

[CS14-34]Estimation of Unsaturated Soil Hydraulic Parameters Using Parameterized Physics-Informed Neural Networks Based on Measurement Data from Mini Disk Infiltrometer

*Ryusei Fukunaga1, Shinichi Ito1 (1. Ritsumeikan University)
2:00 PM - 2:10 PM JST(5:00 AM - 5:10 AM UTC)

[CS14-35]Deep learning-based prediction of blow counts for every 10cm in the Standard Penetration Test

*Takumi Nishida1, Kazuhiro ODA1 (1. Osaka Sangyo University)
2:10 PM - 2:20 PM JST(5:10 AM - 5:20 AM UTC)

[CS14-36]Effects of Parameters on YOLO26-Based Object Detection for Soil Samples

*Aoi Hoshi1, Keiitirou Mine2, Syunzou kawajiri1 (1. kyusyu institute of technology, 2. kiso-jiban Consultants Co.,Ltd.)
2:20 PM - 2:30 PM JST(5:20 AM - 5:30 AM UTC)

[CS14-37]Evaluation of function fitting performance for grain size distribution curves using the Gompertz function

Natsuki Ohira1, Tatsuya Emori1, *Youhei Katayama1, Kazuhiko Ueno1 (1. Penta-Ocean Construction Co., Ltd.)
2:30 PM - 2:40 PM JST(5:30 AM - 5:40 AM UTC)

[CS14-38]A Preliminary Study on Machine Learning-Based Prediction of Buckling Capacity of Steel Box Section Columns

*Morimune Mizutani1 (1. Kansai University)
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