冯 彬

博士

通讯方式:bin.feng@seu.edu.cn

研究方向:

爆炸冲击效应及工程结构抗爆抗冲击

新型含能材料高效毁伤

结构智能反设计

智能毁伤评估技术

办公地点:土木楼1010

 

 

个人简介

必威betway西汉姆研究员,爆炸安全防护教育部工程中心副主任,固盾智能防护联合实验室主任,主持国家自然科学基金面上项目和青年项目各1项,以及纵向、横向科研课题十余项,总承担经费6000余万元获2025年度国家科技进步二等奖,2018年度江苏省优秀博士论文、2019年度全军优秀博士论文(该年度全军仅43篇)。目前主要研究方向为爆炸冲击效应及工程结构抗爆抗冲击、新型含能材料高效毁伤、结构智能反设计、智能毁伤评估技术。



学术兼职

中国力学学会计算爆炸力学专业组委员

科研、教改项目

国家自然科学基金面上项目:有限厚度混凝土靶抗含能活性射流冲击侵彻-内爆耦合作用机理研究,主持

国家自然科学基金青年基金:基于J积分法的Al-PTFE断裂韧性测试及断裂反应机理研究,主持

国家自然科学基金面上项目广应变率范围下氟聚物-金属反应材料特性及反应机理研究,主要参与

论文和专著

[1] WANG JFENG B*CHEN L*. Experimental and numerical study on the impact resistance of internally unbonded partially prestressed RC beams[J/OL]. Structures202684110917.

[2] WANG JFENG B*WANG Zet al. Review: Research progress on the impact protection effect of shear thickening materials under dynamic loading[J/OL]. Journal of Materials Science2025-09-17.

[3] WANG JFENG B*CHEN L*. Experimental and numerical study on impact resistance of external prestressed reinforced concrete beams[J/OL]. Engineering Failure Analysis2025

[4] SAEED ACHEN L*FENG B. Development and Advance in Tunnel Structures Subjected to Internal Blast Loads: A Comprehensive Review[J/OL]. Archives of Computational Methods in Engineering2025-02-21.

[5] LIU SLi Chen*Bin Feng. Scaling prototype structures under far-field nuclear explosion by model tests using chemical explosion with consideration of the strain-rate effect[J]. Engineering Structures2025.

[6] LI BFENG B*CHEN L. Adaptive feature-extraction graph network for physical systems: Prediction of inviscid compressible flow in urban explosion[J/OL]. Engineering Structures2025345121482.

[7] LI BBin, Feng*Li, Chen. A graph network-based learnable simulator for spatial-temporal prediction of rigid projectile penetration[J/OL]. International Journal of Impact Engineering2025.

[8] ALI MCHEN L*FENG B*et al. Unveiling the Combined Thermal and High Strain Rate Effects on Compressive Behavior of Steel Fiber-Reinforced Concrete: A Novel Predictive Approach[J/OL]. Case Studies in Construction Materials2025-02-10e04384.

[9] ALI MCHEN L*FENG B*et al. Thermal and dynamic response of hybrid fiber-reinforced concrete to fire exposure: Experimental and computational approaches[J/OL]. Construction and Building Materials2025478141397.

[10] ALI MCHEN L*FENG B*et al. Coupled effects of thermal exposure and high strain rate on co₂ emissions of concrete structures: A comparative study of AI-driven emission signatures[J/OL]. Materials Today Communications202548113568.

[11] ALI MCHEN L*FENG B*et al. Artificial Neural Network (ANN) model for predicting blast-induced tunnel response in Steel Fiber Reinforced Concrete (SFRC) structures[J/OL]. Case Studies in Construction Materials202523e05332.

[12] 周鑫,冯彬*,陈力,等. 活性射流侵彻-内爆作用下半无限混凝土靶中应力波效应[J]. 含能材料,2025337):689-702.

[13] 周鑫,冯彬*,陈力. 混凝土中柱形装药的爆炸破坏分区及应力波衰减规律[J]. 爆炸与冲击,2025-01-161-18.

[14] 冯彬,关少坤,陈力,等. 基于图神经网络的可燃气体泄漏扩散预测方法[J]. 爆炸与冲击,2025-09-091-19.

[15] 冯彬,陈力. 深度学习技术赋能工程结构爆炸毁伤评估[J]. 含能材料,2025337):683-688, 673.

[16] XU LCHEN L*FENG B*et al. Research on internal explosion loads in folded arch tunnels: A theoretical approach[J/OL]. Tunnelling and Underground Space Technology2024147105731.

[17] LIU SCHEN L*FENG B. A theoretical method for scaling the dynamic response of steel beams subjected to blast loads[J/OL]. International Journal of Impact Engineering2024187104918.

[18] 刘思嘉,陈力,冯彬. 爆炸荷载作用下钢梁动力响应的相似分析方法[J/OL]. 建筑结构学报,2024451):27-35.

[19] FENG BCHEN LLI Het al. Propagation of the blast wave in the enclosed blast wall structure (EBWS) at a hazardous chemical storage yardA mechanism study[J/OL]. Engineering Structures2023295116763.

[20] CHEN LXIE P*FENG Bet al. A modified K&C model for concrete subjected to coupled effect of high temperature and high strain rate[J/OL]. International Journal of Impact Engineering2023181104760.

[21] 陈力,杨方柳,冯彬,等. 基于模糊综合评判的油库毁伤评估方法[J]. 必威betway西汉姆学报(自然科学版)2023535):794-802.

[22] WU JFENG BGAO Zet al. Investigation on the thermal decomposition and thermal reaction process of PTFE/Al/MoO3 fluorine-containing thermite[J/OL]. Journal of Fluorine Chemistry2021241109676.

[23] WU JFENG BGAO Zet al. Effect of multi-oxidants on mechanical response and reactive characteristics of PTFE/Al reactive material under dynamic impact[J/OL]. Materials Letters2021283128886.

[24] WU JWANG HFENG Bet al. The effect of temperature-induced phase transition of PTFE on the dynamic mechanical behavior and impact-induced initiation characteristics of Al/PTFE[J/OL]. Polymer Testing202091106835.

[25] WU JLIU QFENG Bet al. A comparative study on the mechanical and reactive behavior of three fluorine-containing thermites[J/OL]. RSC Advances20201010):5533-5539.

[26] FENG BLIANG XDU W Get al. A stochastic vulnerability analysis method for armored vehicles with active protection systems (APS)[J/OL]. Journal of Physics: Conference Series202015078):082051.

[27] FENG BQIU CZHANG Tet al. Sensitivity of AlPTFE upon LowSpeed Impact[J/OL]. Propellants, Explosives, Pyrotechnics2019445):630-636.

[28] WANG H xiLI Y chunFENG Bet al. Compressive Properties of PTFE/Al/Ni Composite Under Uniaxial Loading[J/OL]. Journal of Materials Engineering and Performance2017265):2331-2336.

[29] FENG BLI YHAO Het al. A Mechanism of Hotspots Formation at the Crack Tip of AlPTFE under Quasistatic Compression[J/OL]. Propellants, Explosives, Pyrotechnics20174212):1366-1372.

[30] FENG BLI Y chunWU S zhanget al. A crack-induced initiation mechanism of Al-PTFE under quasi-static compression and the investigation of influencing factors[J/OL]. Materials & Design2016108411-417.

[31] FENG BFANG XWANG H Xet al. The Effect of Crystallinity on Compressive Properties of Al-PTFE[J]. Polymers2016.

[32] 冯彬,方向,李裕春,等. 烧结温度、配比及粒径对Al-Teflon准静压反应的影响[J]. 含能材料,20162412):1209-1213.

[33] 冯彬,方向,李裕春,等. 10-2 s-1压缩应变率下Al-Teflon的反应现象[J]. 含能材料,2016246):599-603.

2015582320.

[34] FENG BFANG XLI Y chunet al. An initiation phenomenon of Al-PTFE under quasi-static compression[J/OL]. Chemical Physics Letters201563738-41.




荣誉和奖励

1.      2018年度江苏省优秀博士学位论文;

2.      2019年度全军优秀博士学位论文(全国仅43篇);

3.  2025年度国家科技进步二等奖


指导学生

每年拟招收土木水利工程硕士生1名。团队科研经费充足,主要发展AI与力学交叉方向,欢迎勤奋努力、踏实上进的同学加入团队开展创新性研究,并积极为学生提供海外名校交流和深造的机会。