Dang Ji

トウキ | Dang Ji

Affiliation and department：

Research field (1)： Structural and seismic engineering

Research keywords (6)： Deep Learning , Maintenance management , Steel Engineering , Bridge Engineering , Seismic Engineering , Structure Enginneering

Research theme for competitive and other funds (7)：

2021 - 2024 A New AI Method for Bridge Inspection and Diagnosis that Combines CNN with Highly Accurate Damage Detection and Expertises
2021 - 2024 Development of an existing bridge management method based on load rating
2018 - 2021 Real Time Hybrid Simulation for Function Separated Seismic Isolation Bridge
2016 - 2019 Development of a seismic design framwork based on incremental dynamic analysis using spectrum-compatible multi-dimentional seismic ground motions
2016 - 2018 Collapse Analysis and Anti-Catastrophe Assessment Method for Isolated Bridges with Steel Piers

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Papers (74)：

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

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MISC (75)：

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

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Lectures and oral presentations (76)：

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)

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Education (3)：

2007 - 2010 Aichi Institute of Technology Faculty of Engineering Production and Construction Engineering
2003 - 2006 South-East University (PR China) Institute of Civil Engineering, Building Structure Department, Disaster Prevention and Mitigation Lab.
1998 - 2002 South-East University (PR China) Institute of Civil Engineering, Industrial and civil building direction

Professional career (1)：

Work history (5)：

2020/10 - 現在 Saitama University Department of Civil and Environmental Engineering Associate Professor
2013/04 - 2020/09 Saitama University Department of Engineering and Science Assistant Professor
2012/09 - 2013/03 Kyoto University Graduate School of Engineering Program-specific Researcher
2011/04 - 2012/08 Kyoto University Graduate School of Engineering Researcher
2010/04 - 2011/03 Faculty of Engineering, Aichi Institute of Technology Postdoctoral Researcher

Awards (9)：

2022/12 - Japan Associate of Earthquake Engineering Excellent Presentation Award (Student Awarded) Post-Earthquake Multiclass Damage Detection of Reinforced Concrete Buildings Using Quantum Convolutional Neural Network
2021/11 - International Journal Intelligence, Informatics and Infrastructure Intelligence, Informatics and Infrastructure Excellent Data Award 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 - JSCE Intelligence, Informatics and Infrastructure Outstanding Potential Paper Award STRUCTURE CONTEXT BASED PIXEL-LEVEL DAMAGE DETECTION FOR RUBBER BEARING
2017/07 - JSCE 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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Association Membership(s) (4)：

SSA , ASCE , JAEE , JSCE

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