黨鵬飛(寧波大學副教授)

黨鵬飛，工學博士（博士後），副教授，碩士研究生導師。

基本介紹

• 中文名：黨鵬飛
• 外文名：Pengfei Dang
• 國籍：中國
• 民族：漢族
• 畢業院校：西北工業大學、中國地震局工程力學研究所
• 職業：教師

人物經歷

教育經歷：

2015年9月 – 2021年7月，中國地震局工程力學研究所，防災減災工程及防護工程，博士 （碩博連讀）

2007年9月 – 2011年7月，西北工業大學，土木工程，學士

工作經歷：

2024年8月– ，寧波大學，土木工程與地理環境學院，副教授，碩士研究生導師

2021年11月– 2024年7月，廣州大學，土木工程學院，博士後（合作導師：崔傑教授）

2022年9月– 2023年8月，香港中文大學，地球系統科學系，訪問學者（合作導師：楊宏峰教授）

2011年9月– 2013年9月，湖南省建築材料研究設計院，工程師助理

社會任職

1.國家自然科學基金委 通訊評審專家

2.ESCI期刊 Frontiers in Built Environment 特邀副主編

3.期刊Bulletin of the Seismological Society of America, Journal of Earthquake Engineering, Bulletin of Earthquake Engineering, Scientific Report, Natural Hazards, The Journal of Supercomputing, Earth and Space Science, Pure and Applied Geophysics, Journal of Seismology等著名SCI期刊審稿專家

4.Journal of Applied Science and Engineering, 《世界地震工程》等EI、核心及會議論文審稿專家

5.美國地球物理學會、美國地震學會、中國地球物理學會及美國地震工程研究所會員

研究方向

地震動預測與模擬，強地震震源動力學過程，場地地震效應，近場地震動特徵，基於廣義反演技術的震源與路徑效應參數反演，岩土地震工程和地震災害評估。

招收研究生方向：土木工程（結構工程，防災減災工程及防護工程，岩土工程）等相關專業。

主要成就

主持項目：

1.考慮破裂過程及頻率非平穩特性的近斷層地震動混合模擬方法研究(ZX2024000700)，浙江省自然科學基金探索項目，2024.01—2026.12，25萬元.

2.基於位錯非均勻分布的近場高頻強地震動模擬方法研究(42204050)，國家自然科學基金青年基金項目，2023.01—2025.12，30萬元.

3.基於場地特徵的近場地震動模擬參數估計及地震動預測模型研究，廣東省青年優秀科研人才國際培養計畫項目，2022.09—2023.08，40萬元.

4.近場地震動模擬及地震波對地表結構回響的研究(62216242)，廣州市博士後科研基金項目，2022.01—2023.12, 20萬元.

近五年主要參與項目：

1.特大城市和城市群重特大地震災害風險情景構建技術研發與套用示範(2022YFC3003600)，科技部重點研發計畫，2022.11—2025.10, 1800萬元.

2.地脈動中場地條件特徵的深度學習與挖掘(51978635)，國家自然科學基金面上項目，2020.01—2023.12, 60萬元.

發表期刊論文：(*為通訊作者)

1.Dang Pengfei*, Cui Jie, Yang Hongfeng, Song Jian. (2025). Estimation of source characteristics, site effects and path attenuation in Sichuan Basin, China, using a nonparametric generalized inversion technique. Geophysical Journal International. doi:10.1093/gji/ggae426. (英國皇家天文學會官方期刊，SCI檢索 TOP)

2.Dang Pengfei*, Cui Jie, Yang Hongfeng, Song Jian. (2024). Regional spectral characteristics, quality factor and site responses in western-central Sichuan, China (I): Application of parametric generalized inversion technique. Soil Dynamics and Earthquake Engineering. 176: 108303. (SCI檢索)

3.Dang Pengfei*, Cui Jie*, Liu Qifang. (2024). Estimation of model parameters and simulation of the earthquake ground motion by stochastic finite-fault modelling based on a modified slip-related corner frequency. Stochastic Environmental Research and Risk Assessment. 38(2): 489-501. (SCI/EI檢索)

4.Chen Zhuoshi, Dang Pengfei*, Liu Qifang, Guo Yongning, Cui Jie. (2024). Modified stochastic finite-fault modeling based on the rupture process: A case study of the 2013 Mw 6.7 Lushan earthquake in China. Stochastic Environmental Research and Risk Assessment. 38(11): 4347-4368. (SCI/EI檢索)

5.Dang Pengfei*,Cui Jie, Liu Qifang, Ji Linjian. (2023). A method for predicting hybrid source model of near-field ground motion: Application to Yangbi earthquake in China. Seismological Research Letters. 94(1): 189-205. (美國地震學會官方期刊，SCI檢索)

6.Dang Pengfei*, Cui Jie, Ma Wanjun, Li Yangdong*. (2023). Simulation of the 2022 Mw 6.6 Luding, China, earthquake by a stochastic finite-fault model with a nonstationary phase. Soil Dynamics and Earthquake Engineering.172: 108035. (SCI檢索)

7.Dang Pengfei*, Yang Hongfeng*, Cui Jie, Song Jian. (2023). Regional spectral characteristics, quality factor and site responses in western-central Sichuan, China (II): Application to stochastic ground motion simulation. Soil Dynamics and Earthquake Engineering. 175: 108274. (SCI檢索)

8.DangPengfei*, Cui Jie*, Liu Qifang, Li Yadong. (2023). Simulation of earthquake ground motion via stochastic finite-fault modeling considering the effect of rupture velocity. Stochastic Environmental Research and Risk Assessment. 37(6): 2225-2241. (SCI/EI檢索)

9.Dang Pengfei, Cui Jie, Li Yi*, Wang Wenbo. (2023). Simulation of ground motion from finite-fault modeling incorporating the influence of duration. Earth and Space Science. 10(9): e2023EA002871. (AGU期刊，SCI檢索)

10.Dang Pengfei, Cui Jie, Liu Qifang, Li Yadong*. (2023). Influence of source uncertainty on ground motion simulation: A case study of the 2022 Mw6.6 Luding, China, earthquake. Stochastic Environmental Research and Risk Assessment. 37(8): 2943-2960. (SCI/EI檢索)

11.Dang Pengfei*, Cui Jie, Li Yadong, Liu Qifang. (2023). Estimation of a hybrid slip model and its application to stochastic simulation of the Mw 6.6 earthquake on September 5, 2022, in Luding, China. Stochastic Environmental Research and Risk Assessment. 37(11): 4175-4196. (SCI/EI檢索)

12.Song Jian, Dang Pengfei*, Cui Jie. (2024). Composite source model for broadband ground-motion simulations: 2021 Mw7.4 Maduo, China, earthquake case study. Seismological Research Letters. 94(6): 2609-2626. (美國地震學會官方期刊，SCI檢索)

13.Dang Pengfei*, Cui Jie, Liu Qifang. (2023). Site amplification and rupture velocity in EXSIM and updated EXSIM during the 2017 Mw6.6 Jiuzhaigou, China earthquake. Natural Hazards. 116(1): 1105-1123. (SCI檢索)

14.Li Yi, Dang Pengfei*, Xu Xiaohu, Lei Jianwei. (2023). Deep learning for improved subsurface imaging: enhancing GPR clutter removal performance using contextual feature fusion and enhanced spatial attention. Remote Sensing. 15(7): 1729. (SCI檢索 TOP)

15.Dang Pengfei*, Cui Jie, Liu Qifang. (2022). Parameter estimation for predicting near-fault strong ground motion and its application to Lushan earthquake in China. Soil Dynamics and Earthquake Engineering. 156: 107223. (SCI檢索)

16.Dang Pengfei*, WangChong, Qi Wenhao, Li Yadong. (2022). An updated stochastic finite faultmodeling: Application to the Mw 6.0 earthquake in Jiashi, China. Soil Dynamics and Earthquake Engineering. 162: 107450. (SCI檢索)

17.Dang Pengfei*, Cui Jie, Liu Qifang, Xia Songlin. (2022). Slip-correlated high-frequency scaling factor for stochastic finite-fault modeling of ground motion. Bulletin of the Seismological Society of America. 112(3): 1472-1482. (美國地震學會旗艦期刊，SCI檢索)

18.Wang Chong, Dang Pengfei*, Qi Wenhao, Li Yadong, Wang Fuyun, Bo Jingshan. (2022). Ground motion simulations for the 19 January 2020 Jiashi, China, earthquake using stochastic finite-fault approach. Earth and Space Science. 9(12): e2021EA002047. (AGU期刊，SCI檢索)

19.DangPengfei*, Liu Qifang, Ji Linjian. (2022). Comparison of the dynamic and static corner frequencies in ground motion simulation: Cases study of Jiuzhaigou earthquake and Northridge earthquake. Frontiers in Earth Science. 9: 813089. (SCI檢索)

20.DangPengfei*, Liu Qifang*, Xia Songlin, Ma Wanjun. (2021). A stochastic method for simulating near-field seismograms: Application to the 2016 Tottori earthquake. Earth and Space Science. 8(11): e2021EA001939. (AGU期刊，SCI檢索)

21.DangPengfei*, Liu Qifang. (2020). Stochastic finite-fault ground motion simulation for the Mw 6.7 earthquake in Lushan, China. Natural Hazards. 100(3): 1215-1241. (SCI檢索)

22.Dang Pengfei*, Liu Qifang, Song Jian. (2020). Simulation of the Jiuzhaigou, China, earthquake by stochastic finite-fault method based on variable stress drop. Natural Hazards. 103(2): 2295-2321. (SCI檢索)

23.Dang Pengfei*, Liu Qifang, Ji Linjian, Wang Chong. (2020). Simulation of finite fault hybrid source models for the Mw 6.6 Jiuzhaigou, China, earthquake. Journal of Seismology. 24(6): 1255-1265. (SCI檢索)

24.Li Bo, Li Xiaofei*, Zhao Lei, Dang Pengfei. (2022). Seismic response analysis of lattice communication tower considering pile-soil-structure interaction. Journal of Applied Science and Engineering, 26(11): 1573-1583. (EI檢索)

25.黨鵬飛，王文博，李亞東，崔傑*. (2023). 流體地質作用與資源環境效應——基於第八屆流體地球科學與礦產資源及環境災害學術研討會的綜述. 地球科學與環境學報, 45(2): 322-337. (北大核心)

26.黨鵬飛，劉啟方*，馬完君，王沖. (2022). 參數對地震動隨機模擬結果的影響分析. 防災減災工程學報, 42(4): 768-777. (CSCD核心庫)

27.黨鵬飛，夏松林，劉啟方*. (2021). 日本熊本地區高頻衰減參數κ與Vs30統計研究, 世界地震工程, 37(3): 200-206. (CSCD擴展庫)

28.黨鵬飛，劉啟方*，王沖，夏松林. (2020). 地震動隨機有限斷層模擬方法綜述, 地震工程與工程振動, 40(6): 131-139. (CSCD核心庫)

29.黨鵬飛，劉啟方*. (2020). 基於NGA模型的蘆山餘震地震動衰減關係, 地震工程學報, 42(6): 1706-1714. (CSCD核心庫)

30.黨鵬飛*，劉啟方. (2019). 新疆烏魯木齊地區Vs30經驗估計研究, 地震工程學報, 41(5): 1324-1331. (CSCD核心庫)

31.師黎靜，宋健*，黨鵬飛，劉佳軒. (2022). 區域場地近地錶速度結構建模研究, 岩土工程學報, 44(2): 360-367. (EI檢索)

32.王沖，齊文浩*，黨鵬飛，薄景山. (2022). 基於盆地效應的抗震設防研究之若干進展, 世界地震工程, 38(3): 221-235. (CSCD擴展庫)

33.王沖，齊文浩*，黨鵬飛，薄景山，王夫運. (2022). 基於實測2D物探剖面的渭河盆地效應研究, 地震工程與工程振動, 42(3): 226-234. (CSCD核心庫)

34.宋健，師黎靜*，黨鵬飛，譚景陽. 考慮海域衰減特性的日本相模灣海底場地放大研究, 土木工程學報, 54(12): 74-84. (EI檢索)

發表會議論文：

1.Dang Pengfei*. (2022). Site amplification and rupture velocity in EXSIM and updated EXSIM during the 2017 Mw6.6 Jiuzhaigou, China earthquake. 2022/2021年中國地球科學聯合學術年會

2.DangPengfei*. (2022). Study on source spectrum and key parameters of stochastic finite fault simulation. 2 Edition of International Young Scientist Awards.

3.MaWanjun, Dang Pengfei, Xie Zhinan*, LuJianqi. (2021). Application of stochastic finite-fault method to marine earthquake—2021Fukushima earthquake in Japan. 976-980.

4.宋健，師黎靜*，黨鵬飛，李昕蕾. (2020). 哈爾濱市剪下波速與埋深相關性分析, 50(S1): 1088-1092.