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Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Du, Ke / Gao, Jiawei / Ji, Kun / Bai, Jiulin (2023): A modal conditional mean spectrum for nonlinear structural response time-history analysis of tall buildings to consider higher mode effects. In: Bulletin of Earthquake Engineering, v. 22, n. 3 (November 2023).

    https://doi.org/10.1007/s10518-023-01804-w

  2. Ji, Kun / Zhu, Chuanbin / Yaghmaei‐Sabegh, Saman / Lu, Jianqi / Ren, Yefei / Wen, Ruizhi (2023): Site classification using deep‐learning‐based image recognition techniques. In: Earthquake Engineering and Structural Dynamics, v. 52, n. 8 (März 2023).

    https://doi.org/10.1002/eqe.3801

  3. Ji, Kun / Wang, Weiyi / Yu, Xiaohui / Ren, Yefei / Wen, Ruizhi (2022): Evaluation of Vector Hazard for Conditional Mean Spectrum with Different Definitions of Multivariate Exceedance Rate. In: Journal of Earthquake Engineering, v. 27, n. 7 (Juni 2022).

    https://doi.org/10.1080/13632469.2022.2090462

  4. Zhang, Jiaqing / Ji, Kun / Yan, Bo / Zhou, Zhangbin / Fan, Minghao / Zhang, Bosi (2018): Numerical Simulation on Smoke Propagation and Fire Separation in Electric Power Cable Tunnel. In: Journal of Physics: Conference Series, v. 1064, n. 1 (1 Juli 2018).

    https://doi.org/10.1088/1742-6596/1064/1/012015

  5. Wen, Pan / Ji, Kun / Wen, Ruizhi (2022): Simplified procedure for simulating artificial non-stationary multi-point earthquake accelerograms. In: Soil Dynamics and Earthquake Engineering, v. 156 (Mai 2022).

    https://doi.org/10.1016/j.soildyn.2022.107239

  6. Ji, Kun / Ren, Yefei / Wen, Ruizhi / Zhu, Chuanbin / Liu, Ye / Zhou, Baofeng (2022): HVSR-based Site Classification Approach Using General Regression Neural Network (GRNN): Case Study for China Strong Motion Stations. In: Journal of Earthquake Engineering, v. 26, n. 16 (Januar 2022).

    https://doi.org/10.1080/13632469.2021.1991520

  7. Zong, Chengcai / Ji, Kun / Wen, Ruizhi / Bi, Xirong / Ren, Yefei / Zhang, Xiaorui (2022): Seismic resilient three-stage enhancement for gas distribution network using computational optimization algorithms. In: Soil Dynamics and Earthquake Engineering, v. 152 (Januar 2022).

    https://doi.org/10.1016/j.soildyn.2021.107057

  8. Ji, Kun / Wen, Ruizhi / Ren, Yefei / Wang, Weiyi / Chen, Lansheng (2021): Disaggregation of probabilistic seismic hazard and construction of conditional spectrum for China. In: Bulletin of Earthquake Engineering, v. 19, n. 14 (September 2021).

    https://doi.org/10.1007/s10518-021-01200-2

  9. Ji, Kun / Wen, Ruizhi / Zong, Chengcai / Ren, Yefei (2021): Genetic algorithm‐based ground motion selection method matching target distribution of generalized conditional intensity measures. In: Earthquake Engineering and Structural Dynamics, v. 50, n. 6 (Mai 2021).

    https://doi.org/10.1002/eqe.3408

  10. Zhou, Ying / Wang, Hongwei / Wen, Ruizhi / Ren, Yefei / Ji, Kun (2020): Insights on nonlinear soil behavior and its variation with time at strong-motion stations during the Mw7.8 Kaikōura, New Zealand earthquake. In: Soil Dynamics and Earthquake Engineering, v. 136 (September 2020).

    https://doi.org/10.1016/j.soildyn.2020.106215

  11. Ji, Kun / Wen, Ruizhi / Ren, Yefei / Dhakal, Yadab P. (2020): Nonlinear seismic site response classification using K-means clustering algorithm: Case study of the September 6, 2018 Mw6.6 Hokkaido Iburi-Tobu earthquake, Japan. In: Soil Dynamics and Earthquake Engineering, v. 128 (Januar 2020).

    https://doi.org/10.1016/j.soildyn.2019.105907

  12. Ji, Kun / Ren, Yefei / Wen, Ruizhi / Kuo, Chun-Hsiang (2019): Near-field velocity pulse-like ground motions on February 6, 2018 MW6.4 Hualien, Taiwan earthquake and structural damage implications. In: Soil Dynamics and Earthquake Engineering, v. 126 (November 2019).

    https://doi.org/10.1016/j.soildyn.2019.105784

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