Zhenzhong Hu

    He received both his BE and PhD degree in the Department of Civil Engineering at Tsinghua University, China. He was a visiting researcher in Carnegie Mellon University.
    He is now the associate professor in Shenzhen International Graduate School, Tsinghua University, and also the secretary general of the BIM Specialty Committee of the China Graphics Society.
    His research interests include information technologies in civil and marine engineering, building information modeling (BIM) and digital disaster prevention and mitigation.
  • 2017-06-25

    2017-06-25

    A new paper has been published in Engineering Mechanics (Engineering Index), i.e., Zhenzhong Hu, Xiaoyang Zhang. Research on Model Transformation Method for Structural Finite Element Analysis.

  • 2017-05-31

    2017-05-31

    On May 31st, the generalization meeting of BIM-based Construction Management for Road & Bridge based on cloud, was held by Shenzhen Road & Bridge Group, which mainly aimed at "BIM-based Applications on Projects Management". I was invited to give a keynote speech entitled "The Lasted BIM-based Researches on Infrastructure", including the projects like Chongqing Baishatuo Yangtze-River Bridge, Guangzhou Metro, Xingfen Expressway, and introduced the application situation of BIM-based technologies. Subsequently, Shaofeng Jiang, from the research team, presented the BIM-based basic functions of cloud management platform to introduce the cloud-BIM platform in detail. Over 30 people including Liji Liao, deputy general manager of Shenzhen Road & Bridge Group, attended this meeting. The meeting was hosted by Dr. Aijun Zhang.

  • 2017-05-25

    2017-05-25

    Peilong Tian, the third master student under my supervision, successfully passed his thesis defense in the Department of Civil Engineering of Tsinghua University. His master degree thesis entitled "Monitoring and Management of Equipment during Maintenance Period Based on BIM and BAS". Because the management efficiency were in low levels, especially in the operation and maintenance management in the AEC industry, the research implemented storage of monitoring information in the BAS by extending the Industry Foundation Class(IFC) attribute set using the IFC-based information extension method from the information storage layer, made a research on critical technologies for integration of multi-protocol-oriented dynamic monitoring system and BIM open platform from the information integration layer, and studied the application of parking monitoring information in intelligent management of the parking lot, the application of indoor environment monitoring information in comfort evaluation, and the application of water level and quality monitoring information in intelligent O&M of water plants to expand the application scope of the BIM. The system was applied in the Beijing Huaifang Water Recycling Plant Project. In a word, the study supports a complete solutions and relevant models for intelligent monitoring and management to improve the building O&M management.

  • 2017-05-24

    2017-05-24

    On May 24th, on behalf of the research team, I presented the sub-projects achievements of the project "Integration Application Technologies on BIM and Iot, Big Data, mobile communication and Cloud Computing", which is a sub-project of the 13th Five-Year Key R&D Project "Research and Demonstration on Integration Application Technologies of Green and Smart Construction" to the invited experts and other technicians from China State Construction Technical Center.

  • 2017-05-18

    2017-05-18

    My master student, Yang Peng, has completed the capstone presentation. There are challenges of generating the analysis models, and lacking of real-time analysis methods and visual scene under dynamic circumstances in large-scale buildings. Based on the big data and BIM and machine learning, the study is going to propose a method of "dynamic evacuation machine learning" to improve the graph search directly or large-scale parallel simulation for massive arithmetic labor. The method is supposed to outcome a series of regular rules and form the ability for dynamic decision in arbitrary situations by simulating the massive evacuation circumstances and import the mechanism of evaluating situations to realize the computing-chess method based on the methods of deep learning and reinforcement learning.