Event

The 163rd TCU-ARL Seminar
International Workshop on Data-driven Infrastructure Maintenance and Risk Management
September 24, 2020

Modern advances in sensing, data acquisition, communication, storage, etc., have provided tremendous opportunities for scientists and engineers to release the power of established domain knowledge to understand and design systems that align with reality at unprecedented precision. Possibilities now exist, e.g., for physical models of nature or engineered systems be better and quantitatively informed by measured data in terms of their parameters, identification uncertainty and variability, or even ‘data-driven’ models (e.g., artificial neural network) that exhibit prediction or operation capabilities otherwise difficult to formulate based on domain knowledge. In the maintenance and risk management of infrastructures, there is much room for development in the theory, computational algorithms, hardware technology to significantly improve capabilities for diagnosis, prognosis, planning, etc. This workshop aims at providing an international yet focused platform for researchers to share their experience and latest findings that contribute to the advance of infrastructure maintenance and risk management. Thematic topics include, but not limited to,

  • -maintenance engineering, e.g., repair and reinforcement, external force identification,
    non-destructive testing, schedule optimization
  • -structural health monitoring, e.g., modal/system identification, data-driven models,
    model updating, damage detection
  • -reliability engineering, e.g., reliability algorithms, reliability-based design, risk management
Date and time:
13:30-17:10, 24 (Thursday) of September, 2020 (Japan local time)
Venue:
Zoom (invitation link will be sent after registration)
Application for participation:
If you would like to participate, please email us at artc@tcu.ac.jp with the following information.
1) your name, 2) your affiliation, 3) e-mail address

Keynote lecture1
Siu-Kui Au (Nanyang Technological University, Singapore)

Understanding and managing identification uncertainty in operational modal analysis

Keynote lecture2
Chitoshi Miki (President of Tokyo City University)

Aging Deterioration in Structures -Target of Maintenance and Risk Management -

Program

13:30 Opening: Ikumasa Yoshida
(Tokyo City University, Advanced Retrofit Technology Center, Japan)
Session 1 Chairperson: Lessandro Estelito O. Garciano
(De La Salle University, Philippines)
13:45 Chih-Chung Chung (Dept. of Civil Engineering, National Central University, Taiwan)
Risk Assessment of slope collapse in Neikuihui tribe in Fuxing District, Taoyuan City
14:00 Samim Mustafa (Tokyo City University, Advanced Retrofit Technology Center, Japan)
Bayesian-based Bridge weigh-in-motion using MEMES accelerometers
14:15 Xuchuan Lin (Institute of Engineering Mechanics, China Earthquake Administration)
Urban earthquake disaster analysis based on detailed numerical simulation and big data
14:30 Stephen Wu (Institute of Statistical Mathematics, Japan)
Recovering compressed images for auto-segmentation of building cracks using deep generative models
14:45 Keynote lecture1: Siu-Kui Au (Nanyang Technological University, Singapore)
Understanding and managing identification uncertainty in operational modal analysis
Session 2 Chairperson, Stephen Wu (Institute of Statistical Mathematics, Japan)
15:30 Lessandro Estelito O. Garciano (De La Salle University, Philippines)
Quantifying the resilience index of a water distribution network (WDN) using the 3Rs (Robustness, Rapidity and Resourcefulness).
15:45 Yanjie Zhu (Tokyo City University, Advanced Retrofit Technology Center, Japan)
Deep Learning Methods for Automatic Traveling Vehicle Detection
16:00 Bunya Chea
(Thammasat University, Sirindhorn International Institute of Technology, Thailand)
Research on atmospheric exposure test of steel coated by different materials for drafting durability design specifications in Thailand
16:15 Zuo Zhu (School of Engineering, University of Liverpool, UK)
Robust In-situ Instrument Noise Calibration for Field Vibration Testing
16:30 Keynote lecture2: Chitoshi Miki (President of Tokyo City University)
Aging Deterioration in Structures -Target of Maintenance and Risk Management‐
17:00 Closing: Siu-Kui Au (Nanyang Technological University, Singapore)

Contact

Advanced Retrofit Technology Center, Tokyo City University

E-mail:artc@tcu.ac.jp

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