Jia GUO

About Me

Welcome! I am currently an Associate Professor in Division of Environmental Science & Technology of Kyoto University (KYU), Japan. Prior to that, I was an Assistant Professor in International Research Institute of Disaster Science (IRIDeS) of Tohoku University, with Prof. Kohju Ikago. I obtained my Ph.D. degree (2019) in the Dept. of Architecture and Architectural Engineering, Kyoto University, supervised by Prof. Izuru Takewaki, and BS (2009) and MSc (2012) in Civil Engineering, with honors, from the Dept. of Civil Engineering at Tsinghua University (THU), China.

Find more @ ReasearchGate, Github, and ORCID.

Research Interest

My research interests include new techniques in modelling and identification of dynamic systems and data-driven computing methods for structures, soil and fluids, with the goal of contributing to disaster prevention and mitigation. These research topics straddle computational mechanics and engineering science, combined with knowledge of Bayesian Inference, artificial Intelligence, as well as Smart Sensing technologies. I also have expertise in Structural Health Monitoring of large-scale bridges and high-rise buildings.

Selected Publications

2024

  1. Shen S D, Guo J, Pan P, Cao Y R, Feng J X. Bidirectional seismic performance and design approach of RC infill wall with PVC tubes[J]. Journal of Building Engineering, 2024: 108463. [paper]

2023

  1. Guo J, Enokida R, Li D, Ikago K. Combination of physics-based and data-driven modeling for nonlinear structural seismic response prediction through deep residual learning[J]. Earthquake Engineering & Structural Dynamics, 2023. [paper] [QuickView] [Code]
  2. Enokida R, Ikago K, Guo J, Kajiwara K. Nonlinear signal‐based control for shake table experiments with sliding masses[J]. Earthquake Engineering & Structural Dynamics, 2023. [paper] Free access to this work by clicking here.
  3. Enokida R, Ikago K, Guo J, Kajiwara K. Performance Examination of Nonlinear Signal-Based Control in Shake Table Experiments with Sliding Structures[J]. Structural Control and Health Monitoring, 2023. [paper] Free access to this work by clicking here.

2022

  1. Guo, J, Wang L, Fukuda I, Ikago K. Data-driven modeling of general damping systems by k-means clustering and two-stage regression[J]. Mechanical Systems and Signal Processing, 2022, 167: 108572. [paper]

2021

  1. Xiang Y, Guo J, Kishiki S. Analytical approach for vertical floor acceleration of regular RC frames under earthquake excitation[J]. Engineering Structures, 2022, 251: 113546. [paper]
  2. Jiao J, Guo J, Fujita K, Takewaki I. Displacement measurement and nonlinear structural system identification: A vision-based approach with camera motion correction using planar structures[J]. Structural Control and Health Monitoring, 2021: e2761. [paper]

2020

  1. Guo, J, Xiang Y, Fujita K, Takewaki I. Vision-Based building seismic displacement measurement by stratification of projective rectification using lines[J]. Sensors, 2020, 20(20): 5775. [paper] Free access to this work by clicking here.
  2. Wang L, Guo J, Takewaki I. Real-time hysteresis identification in structures based on restoring force reconstruction and Kalman filter[J]. Mechanical Systems and Signal Processing, 2021, 150: 107297. [paper]
  3. Guo J, Jiao J, Fujita K, Takewaki I. A spectrum-driven damage identification by minimum constitutive relation error and sparse regularization[J]. Mechanical Systems and Signal Processing, 2020, 136: 106496. [paper]

2019

  1. Guo J, Jiao J, Fujita K, Takewaki I. Damage identification for frame structures using vision-based measurement[J]. Engineering Structures, 2019, 199: 109634. [paper]
  2. Guo J, Deng K, Wang L, Takewaki I. Physical-based parametrization and local damage identification for frame type structures using response sensitivity approach in time domain[J]. Structural Control and Health Monitoring, 2019, 26(10): e2412. [paper]
  3. Guo J, Wang L, Takewaki I. Experimental investigation on use of regularization techniques and pre-post measurement changes for structural damage identification[J]. International Journal of Solids and Structures, 2020, 185: 212-221. [paper]

2018

  1. Guo J, Wang L, Takewaki I. Frequency response-based damage identification in frames by minimum constitutive relation error and sparse regularization. Journal of Sound and Vibration, 443: 270-292, 2019. [paper]
  2. Guo J, Wang L, Takewaki I. Modal-based structural damage identification by minimum constitutive relation error and sparse regularization. Structural Control and Health Monitoring, 25(12):e2255,2018. [paper]
  3. Guo J, Wang L, Takewaki I. Static damage identification in beams by minimum constitutive relation error. Inverse Problems in Science and Engineering: 1-25,2018. [paper]

2017

  1. Guo J, Deng K, He M, Zhao C, & Li W. Experimental study on the construction stages of an RC closure pour in bridge widening. Journal of Bridge Engineering, 22(12):06017007,2017. [paper]