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.
  • 2023-06-16

    Time flies, graduation season is here. The research group held a group building activity to send off graduates Leng Shuo, Guo Xueqing and Lin Chao, and also to provide an opportunity for the research group to relax and get together.

    The event includes outdoor sports, games and entertainment, and a dinner party. In outdoor sports, everyone or swim in the pool, or compete with each other, laugh with each other, happy; In the game entertainment, everyone or concerted pushing, or joint decryption, have shown superb teamwork ability; At the exchange dinner, everyone cooks or shares their experiences, creating a harmonious atmosphere. At this time of celebration and perseverance, I would like to express my thanks to the graduates, thank them for their efforts and contributions to the research group, and wish them a bright future and promotion.

    Leisurely years, in a hurry, today's farewell, the feeling is hard to give up. Through this activity, the members of the research group have a deeper understanding of the importance of teamwork, and at the same time, it has laid a solid foundation for the future development of the research group.

  • 2023-05-23

    On the morning of May 22nd, the program discussion meeting of "Research and Development of Digital twinning and numerical Simulation Technology of Ocean-Meteorological Disaster and its Demonstration Application" was successfully held in Ocean Building. Zhang Jianmin, Academician of Chinese Academy of Engineering, Liu Wei, Senior Commissioner of Research Office of Chinese Academy of Engineering, Hong Qiuyun, Assistant Professor Yu Yantao of Hong Kong University of Science and Technology, Associate professors Li Sunwei and Li Binbin of Tsinghua Shenzhen International Graduate School, Assistant professors Chen Shengli, Jing Lu and other project members attended the meeting.

    At the meeting, Academician Zhang Jianmin first put forward the requirements and expectations for the implementation of the project. Professor Liu Wei said that this project is the first Guangdong, Hong Kong and Macao team project approved by our school. Then, I introduced the overall implementation plan of the project from the aspects of project background, research content, innovation, feasibility, task arrangement and results and benefits. The leaders of each topic reported respectively "Establishment of digital twin Model of Multi-source heterogeneous ocean-Meteorological Information", "Simulation of ocean-meteorological disaster Process based on Optimization of ocean-air flux parameter Model", "Mechanism and cross-scale numerical Simulation of submarine disaster Complex chain generation Process", "Safety Analysis of ocean Engineering Facilities based on Data and structural reliability Theory", and "Mooring system under complex sea conditions" Research achievements, implementation plans and project progress of various topics, such as Integrated Nonlinear Dynamics and Extreme Response ", "Research on the Disaster Causing Mechanism of Marine Disasters Based on Complex System Dynamics & Research and Development of Marine Disaster Simulation and Marine Engineering Structural warning Platform". At last, the participants had extensive and in-depth discussions on the implementation plan of the project, the cross-collaboration among the topics and the expected outcomes, which laid a solid foundation for steadily promoting the implementation of the project and promoting the development of the discipline with high quality project results.

  • 2023-05-18

    Congratulations to Leng Shuo for successfully passing the doctoral dissertation defense of department of civil engineering of Tsinghua University!

    Leng Shuo's doctoral thesis is entitled "Analysis and Application of Wind Environment During Building Operation and Maintenance Period Based on Multiscale Modeling and Data-driven Methods". This study introduces two core technologies of multi-scale numerical simulation and deep learning to improve the existing wind environment analysis methodology, and constructs an original wind environment analysis framework towards the building Operation and Maintenance (O&M) process based on multi-scale modeling and data-driven methods. Combining the technologies of wind environment data management, data application and platform development, this study proposes a comprehensive solution including theories, technologies, methods and platforms for building wind environment analysis in the O&M period. Dr. Leng Shuo's research achievements during the period of rich, won the reviewers and defense committee praise!

  • 2023-05-16

    Congratulations to  Guo Xueqing and Lin Chao for successfully passing the thesis defense of Master degree of Tsinghua University!

    Among them, Guo Xueqing wrote a paper titled "Research on Multi-scale Two-dimensional Diffusion Numerical Simulation for Typical Marine Pollutants". This study delves deeply into the structure of marine environmental data and proposes a marine environmental information model framework.Furthermore, based on the physicochemical properties and diffusion characteristics of pollutants, we propose a two-dimensional diffusion simulation analysis model for various typical pollutants in the ocean under multi-scale spatiotemporal conditions, from both macro and micro perspectives. Utilizing C#, Python, and WinForm technologies, we developed a marine environment and pollutant diffusion visualization application system. This system achieves an efficient data engine, automated information services, and automation of the pollutant diffusion simulation analysis workflow. Finally, we apply and analyze the proposed models and system functions.

    Lin Chao's thesis title is "Research on Smart Maturity Assessment System for the Construction Stage of Engineering". This research firstly summarized the composition framework of systems to assess the smart maturity in the construction stage of engineering. Then, two quantitative smart maturity assessment systems were established using this framework respectively for construction management and floating wind turbine installation. Finally, this study selected smart measures for actual development referring to the proposed smart maturity assessment system for floating wind turbine installation projects so that a digital twin framework was established, and the positive effect of this system was verified through analysis.

  • 2023-05-12

    Data-Driven Quantitative Performance Evaluation of Construction Supervisors has been published in the journal Buildings.

    The performances of construction supervisors are essential for the monitoring, control, and coordination of the construction process of a project in order to adhere to a predefined schedule, cost, quality and other factors. However, it is challenging to evaluate their performance due to limitations such as data deficiency, human error, etc. Thus, this paper proposes an approach to data-driven quantitative performance evaluation of construction supervisors by integrating an analytic hierarchy process (AHP) and activity tracking. The proposed approach contains three parts, namely, index extraction, weighting, data-driven index calculation, and then validation by case study. Firstly, performance indexes were developed based on a literature review as well as surveys and function analysis of the information system for construction supervision (CSI system). Then, the weights of and relationships among of the indexes are determined by AHP. After that, with daily workflow and inspection activities tracked in the CSI system, a method and a software module for automatic calculation of indexes were developed. Lastly, the proposed approach was validated by a real-world case. The result showed that the proposed approach can quantify the performance of a construction supervisor systematically and automatically, which shed lights on how to evaluate the performance of a worker based on the tracking of daily activities. The data-driven process enhanced our strong interpretation of member actions and evaluation indexes, and can boost the performance of every member in an organization.