郭(かく)　佳(か)

京都大学 農学研究科

地域環境科学専攻

施設機能工学分野

准教授

学歴

• 2009年 7月 清華大学(中国)土木工学科卒業
• 2012年 7月 清華大学(中国)土木工学専攻修士課程修了
• 2016年10月 京都大学大学院工学研究科建築学専攻博士後期課程編入学
• 2019年 9月 京都大学大学院工学研究科建築学専攻博士後期課程修了

博士学位論文：構成則誤差最小化とスパース正則化を用いた構造物の損傷同定解(京都大学) [全文]

職歴

• 2012年 8月 中華人民共和国交通運輸部道路科学研究所研究員
• 2019年 10月 東北大学災害科学研究所助教
• 2022年 10月 京都大学地域環境科学専攻准教授

主な研究領域

• データ科学と地震工学が連動する研究
• IOTの活用による災害観測と即時予測
• スマートセンシング・モニタリング
• 農業土木学・地盤工学

京都大学ビジュアルブック「KyotoU Future Commons」を発行・公開しました (ページ28)。

所属学会

• 日本建築学会、日本計算工学会、地盤工学会

担当科目

• 応用力学
• 構造解析学
• 環境地盤工学実験
• 施設機能工学演習
• Geo-Disaster Risk Reduction and Prevention (英語)

代表論文

• Pan H, Jiang F, Guo J, Deng T, Fu J. Dynamic response reconstruction of high-rise buildings under hazards using a Pyramid-LSTM-Attention network[J]. Engineering Structures, 2026, 349: 121863. [paper]

• Pan H, Guo J, Enokida R, Ikago K. SIE: Structural identification encoders for self-supervised learning of nonlinear dynamic systems using computer vision with limited physical knowledge[J]. Engineering Structures, 2026, 348: 121796. [paper]

• Zheng Y, Lee C L, Guo J, Shen R, Sun F, Yang J, Calad AS. Improving EFDD with Neural Networks in Damping Identification for Structural Health Monitoring[J]. Sensors, 2025, 25(22): 6929. [paper] Free access to this work by clicking here.

• Zheng Y, Lee C L, Shen R, Guo J. Revisiting damping identification: Limitations and comparative evaluation under impulse, white noise, and seismic excitations[J]. Frontiers in Built Environment, 2025, 11: 1671758. [paper] Free access to this work by clicking here.

• Wen, W, Zhang C, Zhai C, Guo J, Hu J. A method for automatic monitoring structural earthquake response using surveillance video[J]. Journal of Building Engineering, 2025: 113737. [paper]

• Zhang C, Wen W, Zhai C, Guo J. Method of extracting structural seismic response from blurred surveillance videos based on line matching technique[J]. Measurement, 2025: 116937. [paper]

• Wen W, Zhang C, Hu J, Guo J, Zhai C, Zhou B. Automatic monitoring method for seismic response of building structures and equipment based on indoor surveillance cameras[J]. Mechanical Systems and Signal Processing, 2025, 224: 112220. [paper]

• 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]

• 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]

• 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.

• 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.

• 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]

• 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]

• 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]

• 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.

• 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]

• 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]

• 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]

• Guo J, Jiao J, Fujita K, Takewaki I. Damage identification for frame structures using vision-based measurement[J]. Engineering Structures, 2019, 199: 109634. [paper]

• 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]

• Guo J, Wang L, Takewaki I. Frequency response-based damage identification in frames by minimum constitutive relation error and sparse regularization[J]. Journal of Sound and Vibration, 443: 270-292, 2019. [paper]

• Guo J, Wang L, Takewaki I. Modal-based structural damage identification by minimum constitutive relation error and sparse regularization[J]. Structural Control and Health Monitoring, 25(12):e2255,2018. [paper]

• Guo J, Wang L, Takewaki I. Static damage identification in beams by minimum constitutive relation error[J]. Inverse Problems in Science and Engineering: 1-25,2018. [paper]

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

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