刘晓江，副教授，硕士生导师，东北大学振动力学与智慧防灾研究院核心成员，曾在新加坡国立大学访学。长期从事智慧防灾、多灾害推演等方面的研究，目前聚焦于综合管廊火灾溯源及态势推演。主持国家重点研发计划项目子课题、中央高校基本科研业务资助项目等，参与国家重点研发计划项目、国家自然科学基金重点项目等。获研究生国家奖学金、国家励志奖学金、东南大学学术创新先进个人等荣誉。在TUST、ASCE等领域权威期刊发表论文10余篇。担任Sensors特刊Structural Health Monitoring and Smart Disaster Prevention客座编辑、第17届全国结构振动与动力学会议组委会秘书长、中国振动工程学会会员。

一、学习和工作经历

2013.09-2017.07 郑州大学土木工程学士

2017.09-2020.06 大连理工大学结构工程硕士

2020.09-2024.12 东南大学土木工程博士

2023.01-2024.01 新加坡国立大学联合培养博士

2024.12-至今 东北大学 副教授

二、研究方向

智慧防灾、多灾害推演、综合管廊火灾智能预警

三、科研项目

1. 国家自然科学基金青年项目，主持，2026至2028

2. 国家重点研发计划子课题，主持，2025至2028

3. 中央高校基本科研业务费科研启动项目，主持，2025至2027

4. 国家重点研发计划项目，项目骨干，2020至2023

5. 国家自然科学基金重点项目，项目骨干，2021至2026

四、研究生招生

每年招收硕士研究生2~3名。欢迎土木、力学、计算机等相关专业学生报考，依托振动力学与智慧防灾研究院（院长 徐赵东教授），可为研究生提供有力的试验条件、科研指导及深造支持。

五、联系方式

Email: liuxiaojiang@mail.neu.edu.cn

六、代表性论文

[1] Liu XJ, Xu Z-D, Sun B, Liu X, Xu D. Spatiotemporal state assessment for the underground pipe gallery: Physical model and experimental verification. Tunnelling and Underground Space Technology. 2024;143:105474.

[2] Liu XJ, Sun B, Xu Z-D, Liu X, Xu D. A data-driven danger zone estimation method based on bayesian inference for utility tunnel fires and experimental verification. Journal of Performance of Constructed Facilities. 2023;37:04022078.

[3] Liu XJ, Sun B, Xu Z-D, Liu X, Xu D. An intelligent fire detection algorithm and sensor optimization strategy for utility tunnel fires. Journal of Pipeline Systems Engineering and Practice. 2022;13:04022009.

[4] Liu XJ, Sun B, Xu Z-D, Liu X, Xu D. Identification of multiple fire sources in the utility tunnel based on a constrained particle swarm optimization algorithm. Fire Technology. 2022;58:2825-45.

[5] Liu XJ, Xu Z-D, Sun B, Liu X, Xu D. Smart prediction for tunnel fire state evolution based on an improved fire simulation curve through particle swarm optimization algorithm. Fire Safety Journal. 2023;136:103763.

[6] Liu XJ, Sun B, Xu Z-D, Liu X. An adaptive particle swarm optimization algorithm for fire source identification of the utility tunnel fire. Fire Safety Journal. 2021;126:103486.

[7] Liu XJ, Xu Z-D, Ser Tong Quek, Sun B, et al. Simple model for longitudinal temperature distribution of utility tunnel fire with double fires and end wall fire. Journal of Performance of Constructed Facilities. 2025;39:04025013.

[8] Xu Z-D, Liu XJ, Xu W, Sun B, Liu X, Xu D. Analysis on the disaster chain evolution from gas leak to explosion in urban utility tunnels. Engineering Failure Analysis. 2022;140.

[9] Xu Z-D, Liu XJ, Xu W, Sun B, Liu X, Xu D. Flame propagation characteristics of gas explosions in utility tunnels considering spatial obstacles. Journal of Pipeline Systems Engineering and Practice. 2023;14:04022066.

[10] Sun B, Liu XJ, Xu Z-D, Xu D. Temperature data-driven fire source estimation algorithm of the underground pipe gallery. International Journal of Thermal Sciences. 2022;171:107247.

[11] Sun B, Liu XJ, Xu Z-D, Xu D. BP neural network-based adaptive spatial-temporal data generation technology for predicting ceiling temperature in tunnel fire and full-scale experimental verification. Fire Safety Journal. 2022;130:103577.

[12] Sun B, Liu XJ, Xu Z-D, Xu D. An improved updatable backpropagation neural network for temperature prognosis in tunnel fires. Journal of Performance of Constructed Facilities. 2022;36:04022012.

[13] Sun B, Liu XJ, Xu Z-D. A multiscale bridging material parameter and damage inversion algorithm from macroscale to mesoscale based on ant colony optimization. Journal of Engineering Mechanics. 2022;148:04021150.

[14] Sun B, Liu XJ, Xu Z-D. A novel physical continuum damage model for the finite element simulation of crack growth mechanism in quasi-brittle geomaterials. Theoretical and Applied Fracture Mechanics. 2021;114, 103030.

[15] Sun B, ZB Hu, Liu XJ, Xu Z-D, Xu D.A physical model-free ant colony optimization network algorithm and full scale experimental investigation on ceiling temperature distribution in the utility tunnel fire. International Journal of Thermal Sciences. 2022;174: 107436.

[16] 刘晓江,周智,白石等.超高灵敏度工程化光纤光栅索力传感器.中国测试,2020,46(12):60-66.