2024-08-27

BIM- and 4D-based integrated solution of analysis and management for conflicts and structural safety problems during  construction: 1. Principles and methodologies. He has been cited 400 times on Google Academics. In addition, It is complemented by another research article BIM- and 4D-based integrated solution of analysis and management for conflicts and structural safety problems during construction: 2. Development and site trials. The number of citations on Google Scholar also reached 200, and the two articles combined for 620 citations.

Strengthening construction safety analysis and management has important social and economic significance. However, for a long time, there has been a lack of effective management tools in this important area involving people's lives and property. Based on the new progress of building information modeling (BIM), four-dimensional (4D) technology, time-varying structure analysis and collision detection, a four-dimensional structure information model is proposed and established according to the overall solution of analysis and management of conflict and safety problems in the construction process. Based on this submodel, the integration of dynamic safety analysis of time-dependent structures, conflict analysis and management of schedule/resources/costs, and dynamic collision detection of on-site facilities is studied, and the theory and key techniques are discussed in detail. The research results provide a feasible theory and method for the integrated application of BIM. In addition, by integrating construction simulation, 4D construction management and safety analysis, a new method for conflict and safety analysis in the construction process is proposed. This method lays a foundation for the popularization of complex theories and methods, and has theoretical significance and application prospects in meeting the needs of improving the construction safety level.

Note: Automation in Construction is a top-tier journal in the field of engineering technology, currently with an impact factor of 10.3. The first author of the paper is Professor Zhang Jianping from the Department of Civil Engineering at Tsinghua University, and I am the corresponding author.

2024-08-09

From August 9 to 11, the 11th International Conference on Coastal and Ocean Engineering (ICCOE 2024) was held in Yantai, Shandong. Liu Yi, a doctoral student from the research group, attended the conference and presented a report titled "Real-time Monitoring and Analysis for Digital Twin of Floating Wind Turbine," which introduced the group's work on real-time monitoring and analysis of floating wind turbines. The demand for clean energy has made floating wind turbines an increasingly viable option. However, their operation and maintenance face many challenges, and the advent of digital twins offers a potential solution. The research proposed a monitoring and analysis framework for the digital twin of floating wind turbines, covering three main aspects: marine environment, turbine pose, and structural state. For the tower structure of floating wind turbines, a state inversion method based on limited sensors was proposed, capable of quickly providing comprehensive structural health information. Building on this, a scaled model of the turbine was constructed, and the proposed methods were applied to the monitoring and analysis of actual turbines, achieving a complete process from data sensing, data storage, data integration and fusion, to feedback control, thus forming an information closed-loop between the physical and virtual worlds. By deeply integrating digital models, marine environment, and turbine state data, a complete digital twin of the floating wind turbine was constructed, providing critical support for making turbine state information transparent, managing safety risks, intelligently adjusting parameters, and aiding informed decision-making.

Note: The ICCOE conference is held annually and aims to promote research and development activities in coastal and ocean engineering and to facilitate the exchange of scientific information among researchers, developers, engineers, students, and practitioners from home and abroad. It serves as an ideal platform for sharing ideas and experiences in coastal and ocean engineering and related fields.

2024-07-28

From July 28 to July 31, the 2024 ASCE International Conference on Computing in Civil Engineering (13CE 2024) was held in Pittsburgh, USA. Doctoral student Loh Ching Wah from the research group attended and gave a special presentation.

During the conference, Loh Ching Wah delivered a keynote speech titled "Standard-Driven Chinese Knowledge Extraction in Highway Domain using Machine Learning and NLP Approach." This research enhances the data processing capabilities of highway standards by building an automatic knowledge extraction model. The method employs machine learning techniques on a small training set to accomplish tasks such as named entity recognition and relationship classification. The research results are stored in the form of a knowledge graph, effectively linking concepts in the highway domain and offering new possibilities for data-driven advancements and interdisciplinary collaboration in highway projects. The presentation was well-received by attending scholars and industry professionals, leading to extensive discussions and exchanges on topics related to knowledge graphs.

2024-07-24

After discussion and approval at the 88th Standing Committee meeting of the 15th Party Committee, I won the "Young Teachers' Teaching Excellence Award" of Tsinghua University in 2023 (10 people in the whole school won the award). This honor is not only an affirmation of my teaching work in the past few years, but also a responsibility and spur, which encourages me to continue to explore and advance on the road of teaching and educating people.

The selection process of "Young Teachers Teaching Excellence Award" of Tsinghua University is strict, including teaching consultants auditing lectures, expert evaluation of teaching opinions and students' classroom evaluation results. It is a great honor for me to win this award after all the rounds of selection. In the future, I will continue to work hard to continuously improve the teaching level, promote educational innovation, and contribute to cultivating more excellent composite talents. I would like to thank Tsinghua University for providing the platform and support, as well as colleagues and students for their trust and encouragement.

2024-07-20

The paper "Large⁃scale BIM Lightweight Technology for Rail Transit Engineering" has been published in the journal Railway Engineering.

To solve the problem of difficult data integration caused by the large-scale Building Information Modeling （BIM） in rail transit engineering， this paper proposed BIM lightweight technology. By improving the secondary error measurement algorithm to reduce model complexity while preserving model details and geometric features， and the triangular mesh similarity measurement algorithm was used to reduce the number of similar component store times， and the amount of data stored in the model can be reduced. model data was split and transmitted in stages to improve model transmission speed. The display efficiency was optimized through local reconstruction and dynamic removal of redundant components， and partition rendering was performed on the model to reduce runtime. After being applied at Modiesha Station on Guangzhou Metro Line 18， this technology was used to lightweight for the large-scale model， reducing the occupied storage space about 15.71% ~ 35.87%， reducing the number of grids about 21.46% ~ 31.65%， and increasing the transmission speed about 2.5 ~ 10.0 MB/s. Moreover， the geometric components of the model can be clearly displayed on a self-developed graphics platform at a speed of 50.0~59.8 frames/s.

Note: The first author of this paper is Xue Zhigang, digital engineer in charge of Guangzhou Metro Construction Management Co., LTD. I am the corresponding author, and the authors also include doctoral student Li Yilin. The research results have been funded by the national key research and development program of China.