Japan Society of Civil Engineers 2026 Annual Meeting
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Session Details

Computational mechanics, Data science, V&V/UQ

計算力学・データサイエンス・V&V／UQ (7)

Thu. Sep 3, 2026 4:50 PM - 6:10 PM JST
Thu. Sep 3, 2026 7:50 AM - 9:10 AM UTC
Room D51, 5th Floor, Building 7 (Hokkai-Gakuen University)
4:50 PM - 5:00 PM JST(7:50 AM - 8:00 AM UTC)

[CS5-46]Applicability Assessment of a Real-Time Inundation Area Prediction Method Using Dimensionality Reduction and Deep Learning

*Kanta Yamaguchi1, Ryuya Nakayama1, Masayuki Hitokoto2, Kazuo Kashiyama1 (1. Chuo University, 2. Nippon Koei Co., Ltd.)
5:00 PM - 5:10 PM JST(8:00 AM - 8:10 AM UTC)

[CS5-47]ESTIMATION OF LATERAL BRIDGE CONTACT-POINT RESPONSE IN SEISMIC VEHICLE–BRIDGE INTERACTION USING AN AUGMENTED KALMAN FILTER

*HongKai Ma1, Kai Xue1, Tomonori Nagayama1, Masaru Kitahara2 (1. The University of Tokyo, 2. Hokkaido University)
5:10 PM - 5:20 PM JST(8:10 AM - 8:20 AM UTC)

[CS5-48]2-D elastic wave analysis using Physics Informed Neural Networks

*Taisei ICHINOZUKA1, Takahiro SAITOH1 (1. Gunma University)
5:20 PM - 5:30 PM JST(8:20 AM - 8:30 AM UTC)

[CS5-49]Fundamental Study on Flood Prediction Model Development Using Graph-Based Multiscale Learning with RIGNO

*Naoya Kono1, Nam Nguyen1, Deguchi Shota2, Asai Mitsuteru1 (1. Kyushu University, 2. University of Tsukuba)
5:30 PM - 5:40 PM JST(8:30 AM - 8:40 AM UTC)

[CS5-50]Adaptive Equation Weighting PINN for Discontinuous Shallow Water Flows

*Nam Tuan Nguyen1, Shota Deguchi2,3, Mitsuteru Asai1 (1. Kyushu University, 2. University of Tsukuba, 3. JSPS Research Fellow PD)
5:40 PM - 5:50 PM JST(8:40 AM - 8:50 AM UTC)

[CS5-51]Development of a Method for Estimating Hydraulic Roughness Coefficients Incorporating Subgrid Effects from Point Cloud Data

*Yusuke Odate Odate1, Masayuki Hitokoto2, Kazuo Kashiyama3 (1. Graduate School of Chuo University, 2. Nippon Koei Co., Ltd., 3. Chuo Univetsity)
5:50 PM - 6:00 PM JST(8:50 AM - 9:00 AM UTC)

[CS5-52]Fundamental Study on Topology Optimization Using Stable Diffusion and ControlNet with Multimodal Conditioning

*Riho Nomura1, Yoshihito Yamamoto1 (1. Hosei University)
6:00 PM - 6:10 PM JST(9:00 AM - 9:10 AM UTC)

[CS5-53]A fundamental study on the inference capability of LLMs for mechanical performance based on geometric features in a 3D latent space

*Satoru Ito1,2, Koji Nishiguchi1,2, Yuuri Ozaki1,2, Koichiro Nakaya1,2, Hiromune Kanamori3, Shingo Noritake3, Hiroshi Tanaka3 (1. Nagoya University, 2. RIKEN, 3. Toyota Systems)
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