党紀

トウキ | Dang Ji

所属機関・部署：
職名：准教授

研究分野 (1件)：構造工学、地震工学

研究キーワード (6件)：深層学習 , 維持管理 , 鋼構造 , 橋梁工学 , 耐震工学 , 構造工学

競争的資金等の研究課題 (7件)：

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論文 (74件)：

Tatsuro Yamane, Pang-jo Chun, Ji Dang, Takayuki Okatani. Deep learning-based bridge damage cause estimation from multiple images using visual question answering. Structure and Infrastructure Engineering. 2024. 1-14
Chisato Mizuno, Xin Wang, Ji Dang. A fast survey report about bridge damages by the 2024 Noto Peninsula Earthquake. Earthquake Research Advances. 2024. 100312-100312
Aijia Zhang, Xin Wang, Ji Dang. CNN-based damage detection of buildings from wave propagation between two adjacent floors. Earthquake Engineering and Resilience. 2023. 2. 4. 479-492
Yuqing Tan, Ji Dang, Akira Igarashi, Takehiko Himeno, Yuki Hamada. Hybrid simulation tests evaluating the seismic performance of lead high-damping rubber bearings at low temperatures. Structure and Infrastructure Engineering. 2023. online. 1-16
Jie Shen, Igarashi Akira, Ji Dang, Yuki Hamada, Takehiko Himeno. A multi-layer thermo-mechanical coupling hysteretic model for high damping rubber bearings at low temperature. Earthquake Engineering & Structural Dynamics. 2023

MISC (75件)：

J. Dang, A. Igarashi, K. Hayashi. Probability distribution of ultimate strain for aging deteriorated rubber bearings by Bayesian estimation. Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations. 2021. 1008-1013
J. Dang, P. Chun. Mixed training of deep convolutional neural network for bridge deterioration detection with UAV and inspection report sourced images. Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations. 2021. 308-312
Jiyuan Shi, Ji Dang, Rongzhi Zuo. Bridge damage cropping-and-stitching segmentation using fully convolutional network based on images from UAVs. Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations. 2021. 264-270
Zuo Rongzhi, 党紀, 鵜野禎史, 清水和弘, 鈴木康寛. IoT センシングによる橋梁支承の変位モニタリング手法の開発. 第11回インフラ・ライフライン減災対策シンポジウム講演集. 2021. 11. 214-219
Katrina MONTES, Ji DANG. Nonlinearity Recognition Using 2-Layer Neural Network for Design of New Type of Rubber Bearings. 第11回インフラ・ライフライン減災対策シンポジウム講演集. 2021. 11. 197-201

講演・口頭発表等 (76件)：

Hybrid Simulation for Seismic Isolation Effectiveness Assessment of HDR Bearings at Low Temperature
(Lecture Notes in Civil Engineering 2023)
Machine Learning Enhanced Nonlinear Model Parameter Selection from HDR-S Cyclic Loading Test
(Lecture Notes in Civil Engineering 2023)
Nonlinear Model Classification of HDR-S Bearing Under Low Temperature Using Artificial Neural Network
(Lecture Notes in Civil Engineering 2023)
Bridge Status Realization and Management Enhanced by UAV, SfM, and Deep Learning
(EUROPEAN WORKSHOP ON STRUCTURAL HEALTH MONITORING (EWSHM 2022), VOL 2 2023)
Bridge Status Realization and Management Enhanced by UAV, SfM, and Deep Learning
(Lecture Notes in Civil Engineering 2023)

学歴 (3件)：

学位 (1件)：

経歴 (5件)：

受賞 (9件)：

2022/12 - 日本地震工学会優秀発表賞(学生受賞) Post-Earthquake Multiclass Damage Detection of Reinforced Concrete Buildings Using Quantum Convolutional Neural Network
2021/11 - 土木学会構造工学におけるAI活用に関する小委員会 AI・データサイエンスデータ賞 Semi-autopilot UAV flight path control for bridge structural health monitoring under GNSS-denied environment
2021/09 - EVACES 2021 Young Researcher Award Autonomous Multiple Damage Detection and Segmentation In Structures Using Mask R-CNN
2020/11 - 土木学会構造工学でのAI活用に関する研究小委員会 AI・データサイエンス奨励賞 STRUCTURE CONTEXT BASED PIXEL-LEVEL DAMAGE DETECTION FOR RUBBER BEARING
2017/07 - 土木学会 Excellent Paper Award (20th Symposium of Performance-based Seismic Design for Bridges) Seismic Response and Health Monitoring System for Takamatsu Bridge using Smart Devices

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所属学会 (4件)：

アメリカ地震学会 , アメリカ土木学会 , 日本地震工学会 , 日本土木学会

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