Basic Information:
Jia Jia, Doctor of Engineering. Her research mainly focuses on the prediction methods for ground-motion parameters, and the dynamic response mechanisms of nonstructural components and structures. She has participated in the National Natural Science Foundation of China and the Key Joint Earthquake Science Foundation of the National Natural Science Foundation of China. She has published 18 papers in total, including 7 as the first or corresponding author.
Contact: 17865565276@163.com
Education and Work Experience:
Oct. 2026 – Present | State Key Laboratory of Precision Blasting, Jianghan University
Aug. 2022 – Jun. 2026 | Institute of Engineering Mechanics, China Earthquake Administration, Structural Engineering, Doctor of Engineering
Sep. 2020 – Jun. 2022 | Institute of Engineering Mechanics, China Earthquake Administration, Structural Engineering, Master of Engineering
Sep. 2016 – Jun. 2020 | Yantai University, Civil Engineering, Bachelor of Engineering
Representative Publications:
Jia J, Gong M, Zuo Z, Wang X, Zhao Y. A novel deep learning-based method for generating floor response spectra of building structures[J]. Engineering Structures, 2025, 322: 119058. (IF=7.6)
Gong M, Jia J*, Zuo Z, Wang X, Zhao Y, Liu B. Deep learning-based prediction model for floor response spectra considering primary-secondary structure dynamic interaction[J]. Engineering Structures, 2026, 359:122735. (IF=7.6)
Jia J, Gong M, Zuo Z, Liu B. Real-time structural seismic time history response prediction based on physics-informed deep learning[J]. Journal of Building Engineering, 2025, 108: 112932. (IF=8.1)
Jia J, Gong M, Zuo Z, Wang X, Zhao Y, Liu B. Generating elastic floor response spectra using ensemble learning methods with whale optimization algorithm[J]. Structures, 2025, 82: 110587. (IF=4.9)
Jia J, Gong M, Zuo Z, Liu B. Strength reduction factor prediction model for non-structural components based on ensemble algorithm with Bayesian optimization[J]. Structures, 2026, 84:110901. (IF=4.9)
Jia J, Gong M,Zhao Y. Models for predicting ground motion significant duration based on deep learning algorithm[J]. Journal of Vibration and Shock, 2023, 42(19): 249-259. (in Chinese)
Jia J, Gong M,Zhao Y. Prediction model of ground-motion significant duration of 2023 Turkey earthquake based on machine learning algorithm[J]. World Earthquake Engineering, 2023, 39(03): 27-38. (in Chinese)
Liu B, Wang X, Jia J, Zhao Y, Gong M. A probabilistic deep learning framework for predicting structural response in earthquake early warning in urban building portfolios[J]. Engineering Applications of Artificial Intelligence, 2026, 182: 116121.(IF=9.0)
Gong M, Zhao Y, Zuo Z, Jia J. New ground-motion prediction equations for significant duration of shallow crustal and upper mantle earthquakes in Japan and intra-event spatial correlation[J]. Soil Dynamics and Earthquake Engineering, 2023, 171: 107974. (IF=5.1)
Zhao Y, Gong M, Zuo Z, Jia J, Lai Q. Influence of ground-motion duration on constant ductility response spectra considering various hysteretic models[J]. Soil Dynamics and Earthquake Engineering, 2025, 195: 109433. (IF=5.1)
Liang X, Zuo Z, Gong M, Jia J. Assessment of vertical peak floor acceleration demands for RC frames under seismic excitation[J]. Structures, 2025, 82:110762 (IF=4.9)
Software Copyrights：
PhyCNN-based Software for Predicting Acceleration Response of Building Structures V1.0, 2025SR0865235.
Major Research Projects：
1. National Natural Science Foundation of China, Mechanism of ground motion duration effects on structural seismic response and damage and modification of seismic design spectrum, Participant
2. Key Joint Support Program for Earthquake Science of NSFC, Rapid evaluation method for urban and rural seismic disaster resilience synergistically driven by monitoring data and dynamic simulation, Participant
3. Joint Guiding Project of Heilongjiang Natural Science Foundation, Mechanism and law of ground motion duration effects on structural seismic response, Participant
4. Key Special Project of Key Laboratory of Earthquake Engineering and Engineering Vibration, China Earthquake Administration, Research on evaluation method and criterion of seismic resilience for engineering sites, Participant
5. Key Special Project of Fundamental Research Funds of Institute of Engineering Mechanics, China Earthquake Administration, Intelligent assessment of regional seismic action and urban building cluster resilience integrating multi source seismic monitoring data, Participant
Honors and Awards：
National Scholarship for Doctoral Students
Outstanding Graduate of Shandong Province
