胡振中

   长聘副教授,博士生导师

   学科领域:海工结构分析、海洋环境预测、海洋数字孪生、国产工业软件研发  

   邮       箱: hu.zhenzhong@sz.tsinghua.edu.cn

   个人网站: http://www.huzhenzhong.net

   地       址: 广东省深圳市西丽大学城清华园区海洋大楼702-3



个人简历

教学

研究领域

研究成果

奖励荣誉

教育

2005年-2009年,博士生,清华大学土木工程系

2001年-2005年,本科生,清华大学土木工程系



工作经历

2021年-至今,    副教授,清华大学深圳国际研究生院 

2012年-2021年,副教授,清华大学土木工程系

2011年-2012年,讲师,清华大学土木工程系 

2009年-2011年,博士后,清华大学深圳国际研究生院 



学术兼职

●中国图学学会BIM专业委员会副主任委员

●中国力学学会产学研工作委员会副主任委员

●中国图学学会组织工作委员会委员

●中国图学学会理事

●中国海洋发展研究会理事

●Ocean执行主编

●Automation in Construction(领域顶刊)、SustainabilityJCR Q2)、《图学学报》编委会成员

●CIB W78国际学术年会国际学术委员会委员



教学课程

●《工程硕士数学》,研究生学位课程(公共基础课)

●《土木与建筑工程CAE》,研究生学位课程



硕士和博士指导

独立指导博士生14(其中3名已毕业)、硕士研究生25名(其中18名已毕业)


研究方向

海工结构分析、海洋环境预测、海洋数字孪生和国产工业软件研发



科研项目

       作为负责人,承担国家项目10(含1项科技部项目课题、国家科学基金项目3项、科技部子项目3项等)、广东省研究团队项目1项、企事业单位咨询项目10余项,包括(部分)

    “建筑与市政公用设施智慧运维性态全息快速感知与多源异构数据融合”,国家重点研发计划项目课题,2022/11 - 2025/10。

    “海洋-气象灾害数字孪生、数值模拟技术研发及其示范应用”,广东省区域联合基金粤港澳团队项目,2022/10 - 2026/09。

    “跨海桥隧应对自然灾害的智能运维方法与鲁棒决策研究”,深港联合资助项目(A类),2025/04 - 2027/04。

    “海洋工程结构分析软件国产化开发”,海洋石油工程股份有限公司,2024/10 - 2027/09

    “基于GIS/BIM的轻量化平台框架与接口技术”,国家重点研发计划子课题,2018/12 - 2022/12

    “基于能耗监测系统的建筑及其机电系统标准化大数据提取技术研究”,国家重点研发计划子课题,2017/07 - 2020/06

    “信息驱动下既有建筑物/群多尺度性能模拟与分析技术研究”,国家自然科学基金面上,2018/01 - 2021/12

    “基于 BIM 的大型公共建筑运维期安全管理技术研究”,国家自然科学基金面上,2015/01 - 2018/12

    “基于全生命期绿色住宅产品化数字运营管理技术研究”,国家863项目子课题,2013/10 - 2016/09

    “面向设计和施工期的建筑物时变结构安全性能的4D模拟和分析”,国家自然科学青年基金项目,2011/01-2013/12

    “基于中江高速公路改扩建项目的安全数据标准体系建设及应用研究”,企业委托项目,2021/11-2023/10

    “车陂路--新滘东路隧道工程(黄埔大道至新港东路)基于BIM技术的隧道工程精细化设计与施工研究”,企业委托项目,2017/10-2018/08

    “轨道交通BIM管理平台研究与开发”,企业委托项目,2014/12-2017/12

    “建筑信息模型(BIM)联合研究中心一期项目”,企业委托项目,2013/07-2016/07



学术论文(部分)

[1]An, P., Ren, Z.R., Liu, L.X., Lin, J.R., Yu, Y.T., Guo, Y.T., Hou, C.,   Hu, Z.Z. Precise longitudinal crack detection via continuous texture   reconstruction and deep segmentation[J]. Advanced Engineering Informatics,   2026, 76: 104919.

[2]Ge, K., Wang, C., Guo, Y.T., Dong, X.M., Hu, Z.Z. A differentiable   optimization framework for automated design of offshore jacket structures   under varied scenarios[J]. Computer-Aided Civil and Infrastructure   Engineering, 2026, 45: 100053.

[3]Jiang, C.H., Li, Y.H., Zhang, J.M., Li, S.W., Chen, S.L., Chen, N.Z.,   Hu, Z.Z. Real-time virtual sensing for offshore wind turbines with arbitrary   sensor configurations using subspace-based spectral graph networks[J]. Ocean   Engineering, 2026, 358: 125786.

[4]Chen, Y.M., Ge, K., Guo, Y.T., Hou, C., Hu, Z.Z. ST-SRNet: A deep   learning framework for seismic response prediction of subsea tunnels[J].   Tunnelling and Underground Space Technology, 2026, 174: 107699.

[5]Li, Y.L., Li, Y.H., Hu, Z.Z., Zhang, J.M., Hu, Z.Q. Typhoon-Induced   Risk Evolution in Wind Farms: From Disaster-Inducing Factors Identification   to Domino Effect Assessment[J]. Reliability Engineering & System Safety,   2026: 112638.

[6]Hu, Z.Z., Li, Y.L., Gao, F.P., Zhang, J.M. Digital disaster prevention   for ocean engineering: Current progress and future directions[J]. Ocean   Engineering, 2026, 355: 125101.

[7]Feng, Y.X., Chen, Y., Hu, Z.Z., Ren, Z.R. Dynamics-Based Adaptive   Scheduling for Large-Scale Edge Computing Networks in Smart Cities[J]. IEEE   Internet of Things Journal, 2026.

[8]Zhang, W.H., Zhou, X.G., Hou, C., Hu, Z.Z., Guo, Y.T. Multi-task deep   learning-based failure diagnosis for tubular joints: Automated identification   and description generation[J]. Advanced Engineering Informatics, 2026, 72:   104494.

[9]Sun, Z.Y., Guo, Y.T., Ge, K., Hou, C., Hu, Z.Z. Deep learning-based   realtime multiload response prediction and inverse analysis of offshore   bridges[J]. Engineering Structures, 2026, 353: 122330.

[10]Wan, F.H., Guo, Y.T., Zhuang, S.Y., Hou, C., Hu, Z.Z., Elghazouli, A.Y.   Multiscale investigation of ternary precursor proportioning in engineered   geopolymer composites: Effects of silica fume replacement ratio and GGBS   content[J]. Construction and Building Materials, 2026, 512: 145342.

[11]Liu, Y., Li, Y.L., Min, Y.T., Chen, S.L., Yang, W., Gu, J.T., Feng,   W.J., Li, Y.H., Hong, C.P., Du, J.Q., Li, S.W., Li, B.B., Guo, Y.T., Zhang,   J.M., Hu, Z.Z. Rebuttal to Correspondence on “Fukushima Contaminated Water Risk Factor: Global Implications”[J]. Environmental Science &   Technology, 2025, 59(46): 25116-25118.

[12]Chen, X.Y., Yu, Y.T., Wang, Y.P., Hu, Z.Z. Multimodal data fusion for   ergonomic assessment of construction workers in visually obstructed   environments[J]. Automation in Construction, 2025, 179: 106495.

[13]Chen, S.J., Li, S.W., Hu, Z.Z. Fluid flow and heat transfer   characteristics of manifold microchannel heat sinks with ribs of different   shapes[J]. International Journal of Heat and Mass Transfer, 2025, 251:   127300.

[14]Zhou, X.P., Si, Q., Liu, G., Hu, Z.Z., Wang, Y.K., Li, H.R., Guo, M.Z.,   Xia, S., Tan, C., Xie, Q.S. Vision-based adaptive cross-domain online product   recommendation for 3D design models[J]. Computer-Aided Civil and   Infrastructure Engineering, 2025, 40(20): 3147-3164.

[15]Ge, K., Guo, Y.T., Wang, C., Hu, Z.Z. AI-based prediction of seismic   time-history responses of RC frame structures considering varied structural   parameters[J]. Journal of Building Engineering, 2025,106: 112643.

[16]Liu, Y., Li, Y.L., Min, Y.T., Chen, S.L., Yang, W., Gu, J.T., Feng,   W.J., Li, Y.H., Hong, C.P., Du, J.Q., Li, S.W., Li, B.B., Guo, Y.T., Zhang,   J.M., Hu, Z.Z. Fukushima Contaminated Water Risk Factor: Global   Implications[J]. Environmental Science & Technology, 2025, 59(7):   3703-3712.

[17]Chen, Y., Ding, Y.M., Hu, Z.Z., Ren, Z.R. Geometrized Task Scheduling   and Adaptive Resource Allocation for Large-Scale Edge Computing in Smart   Cities[J]. IEEE Internet of Things Journal, 2025, 12(10): 14398-14419.

[18]Yang, L., Li, B.B., Dong, Y.H., Hu, Z.Z., Zhang, K., Li, S.W.   Large-amplitude rotation of floating offshore wind turbines: A comprehensive   review of causes, consequences, and solutions[J]. Renewable and Sustainable   Energy Reviews, 2025, 211: 115295.

[19]Deng, S.K., Chen, S.L., Sui, Y., Hu, Z.Z. Intensification of an Autumn   Tropical Cyclone by Offshore Wind Farms in the Northern South China Sea[J]. ‌Journal of Geophysical   Research-Atmospheres, 129(21): e2024JD041489.

[20]Ge, K., Wang, C., Guo, Y.T., Tang, Y.S., Hu, Z.Z., Chen, H.B.   Fine-tuning vision foundation model for crack segmentation in civil   infrastructures[J]. Construction and Building Materials, 2024, 431: 136573.

[21]Liu, Y., Zhang, J.M., Min, Y.T., Yu, Y.T., Lin, C., Hu, Z.Z. A digital   twin-based framework for simulation and monitoring analysis of floating wind   turbine structures[J]. Ocean Engineering, 2023, 283:115009.

[22]Ren, Z.R., Zhou, H.Y., Li, B.B., Hu, Z.Z., Yu, M.H., Shi, W.   Localization and topological observability analysis of a moored floating   structure using mooring line tension measurements[J]. Ocean Engineering,   2022, 266: 112706.

[23]Leng, S., Li, S.W., Hu, Z.Z., Wu, H.Y., Li, B.B. Development of a   micro-in-meso-scale framework for simulating pollutant dispersion and wind   environment in building groups[J]. Journal of Cleaner Production, 2022, 364:   132661.

[24]Li, B.B., Qiao, D.S., Zhao, W.H., Hu, Z.Z., Li, S.W. Operability   analysis of SWATH as a service vessel for offshore wind turbine in the   southeastern coast of China[J]. Ocean Engineering, 2022, 251:111017.

[25]Wu, L.T., Lin, J.R., Leng, S., Li, J.L., Hu, Z.Z. Rule-based   information extraction for mechanical-electrical-plumbing-specific semantic   web[J]. Automation in Construction, 2021, 135:104108.

[26]Liu, Y., Guo, X.Q., Li, S.W., Zhang, J.M., Hu, Z.Z. Discharge of   treated Fukushima nuclear accident contaminated water: macroscopic and   microscopic simulations[J]. National Science Review, 2022, 9(1): nwab209.

[27]Hu, Z.Z., Leng, S., Lin, J.R., Li, S.W., Xiao, Y.Q. Knowledge   Extraction and Discovery Based on BIM: A Critical Review and Future   Directions[J]. Archives of Computational Methods in Engineering, 2022, 29(1):   335-356.

[28]Li, W., Hu, Z.Z., Pei, Z.N., Li, S.W., Chan, P.W. A discussion on   influences of turbulent diffusivity and surface drag parameterizations using   a linear model of the tropical cyclone boundary layer wind field[J].   Atmospheric Research, 2020, 237: 104847.

[29]Zhou, Y.W., Hu, Z.Z., Lin, J.R., Zhang, J.P. A Review on 3D Spatial   Data Analytics for Building Information Models[J]. Archives of Computational   Methods in Engineering, 2020, 27(5): 1449-1463.

[30]Hu, Z.Z., Yuan, S., Benghi, C., Zhang, J.P., Zhang, X.Y., Li, D.,   Kassem, M. Geometric optimization of building information models in MEP   projects: Algorithms and techniques for improving storage, transmission and   display[J]. Automation in Construction, 2019, 107: 102941.

[31]Peng, Y., Li, S.W., Hu, Z.Z. A Self-Learning Dynamic Path Planning   Method for Evacuation in Large Public Buildings Based on Neural Networks[J].   NeuroComputing, 2019, 365: 71-85

[32]Weerasuriya, A.U., Hu, Z.Z., Zhang, X.L., Tse, K.T., Li, S.W., Chan,   P.W. New inflow boundary conditions for modeling twisted wind profiles in CFD   simulation for evaluating the pedestrian-level wind field near an isolated   building[J]. Building and Environment, 2018, 132: 303-318.

[33]Peng, Y., Lin, J.R., Zhang, J.P., Hu, Z.Z. A hybrid data mining   approach on BIM-based building operation and maintenance[J]. Building and   Environment, 2017, 126: 483-495.

[34]Li, S.W., Hu, Z.Z., Chan, P.W., Hu, G. A study on the profile of the   turbulence length scale in the near-neutral atmospheric boundary for sea   (homogeneous) and hilly land (inhomogeneous) fetches[J]. Journal of Wind   Engineering and industrial Aerodynamics, 2017, 168: 200-210.

[35]Zhang, J.P., Liu, Q., Hu, Z.Z., Lin, J.R., Yu, F.Q. A multi-server   information-sharing environment for cross-party collaboration on a private   cloud[J]. Automation in Construction, 2017, 81: 180-195.

[36]Hu, Z.Z., Zhang, X.Y., Wang, H.W., Kassem, M. Improving   interoperability between architectural and structural design models: An   industry foundation classes-based approach with web-based tools[J].   Automation in Construction, 2016, 66: 29-42.

[37]Lin, J.R., Hu, Z.Z., Zhang, J.P., Yu, F.Q. A natural-language-based   approach to intelligent data retrieval and representation for cloud BIM[J].   Computer-Aided Civil and Infrastructure Engineering, 2016, 31(1): 18-33.

[38]Zhang, J.P., Yu, F.Q., Li, D., Hu, Z.Z. Development and Implementation   of an Industry Foundation Classes-Based Graphic Information Model for Virtual   Construction[J]. Computer-Aided Civil and Infrastructure Engineering, 2014,   29(1): 60-74.

[39]Hu, Z.Z., Zhang, J.P. BIM- and 4D-based integrated solution of analysis   and management for conflicts and structural safety problems during   construction: 2. Development and site trials[J]. Automation in Construction,   2011, 20(2): 167-180.

[40]Zhang, J.P., Hu, Z.Z. BIM- and 4D-based integrated solution of analysis   and management for conflicts and structural safety problems during   construction: 1. Principles and methodologies[J]. Automation in construction,   2011, 20(2): 155-166.


 出版教材

●《土木与建筑工程CAE

●《数值分析实验

●《智慧城市基础设施运维

●《全国BIM技能等级考试试题集》

●《数字化运维》



授权专利

●深水结构健康监测方法及系统(2026)

●海上风机结构健康监测方法及系统(2026)

一种基于深度学习的动态电缆动力响应监测方法、计算机可读存储介质及程序产品(2025)

一种基于数字孪生的风机安装力学分析方法及系统(2024)

一种基坑柔性挡墙墙后有限黏性土主被动土压力模型试验装置(2023)

海面波浪的三维动态模拟和可视化方法(2023)

基于词典匹配的实体标注方法、模块及装置(2022)

基于浓度分析的水体污染扩散模拟预测方法和装置(2022)

●基于粒子运动的水体污染扩散模拟预测方法和装置(2022

●基坑柔性挡墙墙后有限黏性土主被动土压力模型试验装置(2020

●基于IFC标准的建筑信息模型数据集成与交换引擎装置和方法(2012



奖励和荣誉

● 广东省学位与研究生教育学会优秀教学成果奖二等奖(2024)

● 清华大学2023年度“青年教师教学优秀奖”(2024)

《ChatTwin:大模型赋能的建造过程虚实核验与动态监控数字孪生平台》,日内瓦国际发明展金奖(2025)

《数字孪生驱动的城市地铁数字化建造关键技术及应用》,华夏建设科学技术奖二等奖(2023)

《基于BIM的数字建造关键技术与自主软件研发》,中国图学学会科技进步奖一等奖(2022)

●《基于BIM和人工智能的超大型工程虚拟建造关键技术与应用》,上海市土木工程学会科技进步奖二等奖2021

●《基于BIM的建设工程一体化信息集成技术与平台研究》,华夏建设科学技术奖二等奖(2018

●《北京市中心城区特大型地下生态水厂现代化建造技术研究与应用》,华夏建设科学技术奖三等奖2018

●《建筑全生命期BIM信息集成与应用技术研究》,北京市科学技术进步奖三等奖2018

●《北京市中心城区大型地下生态水厂现代化建造技术研究与应用》,中施企协科学技术进步奖一等奖2017

●《基于自主BIM平台的建筑机电安装工程模块化生产、集成交付及运维技术》,华夏建设科学技术奖二等奖(2015