2025-08-18

Recently, "Urban  Infrastructure Operation and Maintenanc" was officially published and distributed by China Architecture & Building Press as one of the "Series Textbooks for Intelligent Construction Majors in Higher Education Institutions". This textbook was edited by Professor Fang Dongping and co-authored by myself, Fang Weili, Shi Zhongqi, Li Nan, Chen Xuanqi, Liu Wenli and others. It has been selected as a textbook for the "14th Five-Year Plan" of the Ministry of Housing and Urban-Rural Development and a planned textbook by the Expert Committee for Course Textbooks and Teaching Resources of Civil Engineering and Architecture Specialties in Higher Education Institutions.

This textbook focuses on the operation and maintenance stage throughout the entire life cycle of urban infrastructure. It mainly introduces the theories, technologies and practices related to the operation and maintenance of urban infrastructure under the background of intelligence, and elaborates on how to use emerging digital technologies to improve the efficiency and quality of infrastructure operation and maintenance, ensure the safety of urban infrastructure operation and maintenance, and better serve urban residents. It aims to provide readers with a systematic set of learning materials. The textbook is divided into seven chapters, covering the introduction, key common technologies, operation and maintenance management and operation robots, digital energy and environmental management, asset management and value engineering, urban infrastructure resilience, and comprehensive case analysis, among other contents.

This book highlights the cross-integration of multiple disciplines, integrating knowledge from various fields such as intelligent construction, civil engineering, electronic information, and control engineering. It adheres to technological leadership and practical orientation, and through the analysis of real cases, discusses the intelligent operation and maintenance strategies and implementation paths of key infrastructure.

This textbook is not only applicable to the teaching of courses related to "Infrastructure Operation and Maintenance" in higher education institutions, but also can provide a reference for scientific researchers and engineering technicians engaged in infrastructure operation and maintenance management.

Buy books links: https://item.jd.com/10172732966707.html.

2025-08-15

Recently, I was invited to serve as the deputy director of the Sixth Industry-University-Research Working Committee of the Chinese Society of Theoretical and Applied Mechanics. I feel deeply honored to take up this position and am well aware of the heavy responsibility on my shoulders. In the future, we will adhere to the mission of the society and work together with the colleagues of the committee to jointly promote the innovative development of the discipline of mechanics, facilitate the transformation of scientific and technological achievements and the cultivation of talents.

The Chinese Society of Theoretical and Applied Mechanics was established in February 1957 under the joint advocacy and organization of renowned mechanics scholars such as Qian Xuesen, Zhou Peiyuan, Qian Weichang and Guo Yonghuai. It is a national, academic and non-profit social organization, with the China Association for Science and Technology as its supervisory authority. The society is committed to uniting mechanics science and technology workers across the country, conducting academic exchanges, popularizing mechanics knowledge, cultivating mechanics talents, and actively promoting the integration of mechanics science and technology with national economic construction, making contributions to China's socialist modernization drive.

2025-08-11

A natural-language-based approach to intelligent data retrieval and representation for cloud BIM has been cited 200 times on Google Scholar.

As the information from diverse disciplines continues to integrate during the whole life cycle of an Architecture, Engineering, and Construction (AEC) project, the BIM (Building Information Model/Modeling) becomes increasingly large. This condition will cause users difficulty in acquiring the information they truly desire on a mobile device with limited space for interaction. The situation will be even worse for personnel without extensive knowledge of Industry Foundation Classes (IFC) or for nonexperts of the BIM software. To improve the value of the big data of BIM, an approach to intelligent data retrieval and representation for cloud BIM applications based on natural language processing was proposed. First, strategies for data storage and query acceleration based on the popular cloud-based database were explored to handle the large amount of BIM data. Then, the concepts “keyword” and “constraint” were proposed to capture the key objects and their specifications in a natural-language-based sentence that expresses the requirements of the user. Keywords and constraints can be mapped to IFC entities or properties through the International Framework for Dictionaries (IFD). The relationship between the user's requirement and the IFC-based data model was established by path finding in a graph generated from the IFC schema, enabling data retrieval and analysis. Finally, the analyzed and summarized results of BIM data were represented based on the structure of the retrieved data. A prototype application was developed to validate the proposed approach on the data collected during the construction of the terminal of Kunming Airport, the largest single building in China. The case study illustrated the following: (1) relationships between the user requirements and the data users concerned are established, (2) user-concerned data can be automatically retrieved and aggregated based on the cloud for BIM, and (3) the data are represented in a proper form for a visual view and a comprehensive report. With this approach, users can significantly benefit from requesting for information and the value of BIM will be enhanced.

Note: COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING is a top journal in the field of engineering and technology, with an impact factor of 9.1 in 2025. Teacher Lin Jiarui is the first author of the paper, and I am the corresponding author.

2025-07-17

The paper "SPH study on surface pressure distribution characteristics of smoothed mound breakwater induced by medium-long period waves" has been first published on the China National Knowledge Infrastructure (CNKI) in the journal "Ocean Engineering".

To address the significant impact of medium-long period waves on the stability of smoothed mound breakwater in projects along the Maritime Silk Road and the inadequacy of existing empirical formulas, this study employed the SPH method. A 1⁚20 scaled numerical flume model was developed using the DualSPHysics open-source software to simulate interactions between medium-long waves and smoothed mound breakwater. The research reveals that the maximum positive pressure on the slope’s surface occurs within a range of 0.8 times the wave height below the still water level. This pressure initially increases with the wave period before eventually stabilizing. The variation in the pressure coefficient (Pmax/gH) is determined by the Ursell number (Ur): it increases sharply when Ur is between 50 and 150, rises gradually between 150 and 200, and plateaus for values above 200. The maximum pressure is primarily dictated by the local water thickness, a factor significantly influenced by the wave’s run-up capacity. Therefore, changes in run-up capacity are a key driver of how the maximum pressure trends with the wave period. Ultimately, the study proposes an empirical formula for calculating the maximum positive pressure on the slope under medium-long period waves, and the calculated results show strong agreement with the simulation outcomes.

Note: The first author of the paper is master's student Jiang Hao, and Teacher Jing Lu is the corresponding author. The research results were supported by the National Key Research and Development Program of China and Guangdong Basic and Applied Basic Research Foundation.

2025-07-14

Paper: Influence of Northwest Pacific Sea Surface Temperature on the South China Sea Winter Monsoon Based on Multimodel Projections have been published in the Journal International Journal of Climatology.

The South China Sea Winter Monsoon (SCSWM) plays a critical role in the regional climate and atmospheric circulation patterns. This study explores the long-term change in the SCSWM from 1979 to 2023, focusing on its connection to the inhomogeneous warming trends of the Northwest Pacific Sea Surface Temperature (NWP-SST). Using NOAA ERSSTv5 and ERA5 reanalysis data, we uncover a strong relationship between the anomalous northeasterly winds, especially the zonal component, in the South China Sea (SCS) and the NWP-SST during boreal winter. Singular value decomposition (SVD) reveals that the NWP-SST is experiencing substantial warming, which could modulate the SCSWM. Evaluating several CMIP6 models, we demonstrate their ability to simulate this relationship reasonably. Future projections under shared socioeconomic pathways (SSP) 126, 245 and 585 indicate that NWP-SST inhomogeneous warming and the corresponding change in the monsoon will continue, especially under high-emission scenarios (SSP585). This study highlights the possible influence of ocean warming on the SCSWM, with potential far-reaching effects on the region's climate pattern.

Note: International Journal of Climatology is a geoscience journal in the Q2 zone, with an impact factor of 2.8. The first author of the paper is doctoral student Feng Weijie, and Teacher Wang Dongxiao and I are the corresponding authors. The research achievements were supported by Guangdong Basic and Applied Basic Research Foundation, National Natural Science Foundationof China, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) and Shenzhen Science and Technology Program.