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.
  • 2023-06-19

    A digital twin-based framework for simulation and monitoring analysis of floating wind turbine structures have been published online at Ocean Engineering.

    It is currently a prevailing trend to adopt clean energies instead of traditional ones due to the global climate change caused by carbon emissions. Offshore wind farms, in particular, have emerged as a crucial source of renewable energy, owing to their benefits such as no land occupation and abundant resources. However, the design, installation, operation, and maintenance (O&M) of floating wind turbines (FWTs) involve multiple sources of heterogeneous data, which pose challenges to data integration and management, as well as to the simulation and analysis of FWTs. To address this issue, this study proposes a unified framework based on digital twin (DT) to acquire and integrate diverse types of information used throughout the entire life cycle of FWTs. A digital 3D model serves as a medium to enable real-time synchronization and inversion of sensor data, facilitating the simulation and analysis of the global state of FWTs. The proposed framework is evaluated through a case study of a twin-barge float-over project, which includes process simulation, mechanical analysis, and anomaly identification. The results demonstrate that DT can facilitate timely monitoring and analysis of FWTs, and enable visualization of construction plans, early warning of structural abnormalities, and accurate recognition of FWT posture and marine environment. The case study validates the efficacy of the proposed framework in ensuring personnel and equipment safety, optimizing project plans, and improving construction efficiency.

  • 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.