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学者姓名：刘占省
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Abstract ：
The rapid expansion of civil infrastructure in China underscores the critical need for advanced solutions to ensure the structural health of aging bridges. This study introduces a novel data and knowledge-driven digital twin modeling (DK-DTM) framework designed to enhance the safe and efficient operation and maintenance (O&M) of bridges. Such a system should be capable of (1) monitoring structural dynamics in real time, (2) capturing spatiotemporal details and changes (e.g., defects and deformations), (3) analyzing structure deterioration patterns, (4) predicting structure failure risks, and (5) generating optimal maintenance and repair actions for ensuring structural safety. Previous studies have developed advanced sensing techniques and robust artificial intelligence algorithms for capturing and analyzing bridge health conditions. However, most existing techniques and algorithms heavily rely on high-quality data, which are difficult to obtain during bridge O&M. This raises the critical question of how to incorporate expert knowledge together with data-driven tools to establish a trustworthy DT for bridge O&M. This study presents the DK-DTM framework, which uniquely integrates multi-source data collection, spatiotemporal modeling, and expert knowledge reasoning. By combining these components, the framework supports smart structural health assessments of bridges, enabling comprehensive monitoring, prediction, and decision-making for efficient maintenance. The spatial and temporal models provide real-time data, while the expert knowledge model functions as an automated evaluation tool for structural health assessment. The results demonstrate that the proposed DK-DTM framework significantly enhances the accuracy and efficiency of O&M processes for aging bridges, addressing key gaps in existing digital twin methodologies.
Keyword ：
structural health assessment structural health assessment expert knowledge expert knowledge digital twin model digital twin model
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| GB/T 7714 | Sun, Zhe , Liang, Bin , Liu, Shengyao et al. Data and Knowledge-Driven Bridge Digital Twin Modeling for Smart Operation and Maintenance [J]. | APPLIED SCIENCES-BASEL , 2025 , 15 (1) . |
| MLA | Sun, Zhe et al. "Data and Knowledge-Driven Bridge Digital Twin Modeling for Smart Operation and Maintenance" . | APPLIED SCIENCES-BASEL 15 . 1 (2025) . |
| APA | Sun, Zhe , Liang, Bin , Liu, Shengyao , Liu, Zhansheng . Data and Knowledge-Driven Bridge Digital Twin Modeling for Smart Operation and Maintenance . | APPLIED SCIENCES-BASEL , 2025 , 15 (1) . |
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Abstract ：
The wind field plays an important role in the maintenance of large sport venues. Most wind field simulation research involves no quantitative analysis of the impacts of the wind environment on athletes' safety and performance. Taking the National Sliding Centre (NSC) of the Beijing 2022 Winter Olympics as the research object, this paper conducts a wind field simulation study based on CFD, and innovatively explores the quantitative impact of building-scale wind environment characteristics on micro-athletes' wind resistance and performance for the first time. First, an NSC model and a human body model of athletes are constructed and simplified. Grid independence verification is carried out, and the grid is divided and optimized. Second, wind environment simulation under different climatic conditions is completed, based on CFD technology. The defined wind speed dispersion indexes are calculated. The characteristics of the wind field outside the venue is quantitatively analyzed. Third, we define and calculate the main influencing parameters on athletes' competition performance. The impacts of the wind field on micro-athletes' performance are quantified. With a gradual increase in wind level (3.125, 3.5, 4.5, 5.5, 6.5, 7.5, 8.229), the optimized sliding route can reduce the air resistance by 0.2607 N, 0.3415 N, 0.4600 N, 0.6469 N, 0.9283 N, 1.1741 N, and 1.4535 N, which can improve the athletes' competition results by 0.02 s, 0.03 s, 0.04 s, 0.06 s, 0.09 s, 0.11 s, and 0.14 s, respectively. This paper provides methodological support for exploring the mechanism of athlete performance from the perspective of a building-scale environment.
Keyword ：
wind speed dispersion wind speed dispersion wind environment and athlete performance wind environment and athlete performance optimize the sliding route optimize the sliding route CFD CFD wind resistance reduction wind resistance reduction
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| GB/T 7714 | Huo, Hongyuan , Wang, Zhaofang , Zhou, Lingying et al. Wind Field Simulation and Its Impacts on Athletes' Performance, Based on the Computational Fluid Dynamics Method: A Case Study of the National Sliding Centre of the Beijing 2022 Winter Olympics [J]. | APPLIED SCIENCES-BASEL , 2025 , 15 (7) . |
| MLA | Huo, Hongyuan et al. "Wind Field Simulation and Its Impacts on Athletes' Performance, Based on the Computational Fluid Dynamics Method: A Case Study of the National Sliding Centre of the Beijing 2022 Winter Olympics" . | APPLIED SCIENCES-BASEL 15 . 7 (2025) . |
| APA | Huo, Hongyuan , Wang, Zhaofang , Zhou, Lingying , Liu, Zhansheng , Tu, Mincheng . Wind Field Simulation and Its Impacts on Athletes' Performance, Based on the Computational Fluid Dynamics Method: A Case Study of the National Sliding Centre of the Beijing 2022 Winter Olympics . | APPLIED SCIENCES-BASEL , 2025 , 15 (7) . |
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Abstract ：
As a critical component of the transportation system, the safety of bridges is directly related to public safety and the smooth flow of traffic. This study addresses the aforementioned issues by focusing on the identification of bridge structure deterioration and the updating of finite element models, proposing a systematic research framework. First, this study presents a preprocessing method for bridge point cloud data and determines the parameter ranges for key algorithms through parameter tuning. Subsequently, based on the massive point cloud data, this research explores and optimizes the methods for identifying bridge cracks and spatial deformations, significantly enhancing the accuracy and efficiency of identification. On this basis, the particle swarm optimization algorithm is employed to optimize the key parameters in crack detection, ensuring the reliability and precision of the algorithm. Additionally, the study summarizes the methods for detecting bridge structural deformations based on point cloud data and establishes a framework for updating the bridge model. Finally, by integrating the results of bridge crack and deformation detection and combining Bayesian model correction and adaptive nested sampling methods, this research sets up the process for updating finite element model parameters and applies it to the analysis of actual bridge point cloud data.
Keyword ：
particle swarm optimization algorithm particle swarm optimization algorithm point cloud model point cloud model crack detection crack detection spatial deformation detection spatial deformation detection bridge finite element model updating bridge finite element model updating
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| GB/T 7714 | Sun, Zhe , Zhao, Sihan , Liang, Bin et al. Structure Deterioration Identification and Model Updating for Prestressed Concrete Bridges Based on Massive Point Cloud Data [J]. | APPLIED SCIENCES-BASEL , 2024 , 14 (21) . |
| MLA | Sun, Zhe et al. "Structure Deterioration Identification and Model Updating for Prestressed Concrete Bridges Based on Massive Point Cloud Data" . | APPLIED SCIENCES-BASEL 14 . 21 (2024) . |
| APA | Sun, Zhe , Zhao, Sihan , Liang, Bin , Liu, Zhansheng . Structure Deterioration Identification and Model Updating for Prestressed Concrete Bridges Based on Massive Point Cloud Data . | APPLIED SCIENCES-BASEL , 2024 , 14 (21) . |
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Abstract ：
Prefabricated construction hoisting has one of the highest rates of fatalities and injuries compared to other construction processes, despite technological advancements and implementations of safety initiatives. Current safety risk management frameworks lack tools that are able to process in-situ data efficiently and predict risk in advance, which makes it difficult to guarantee the safety of hoisting. Thus, this article proposed an intelligent safety risk prediction framework of prefabricated construction hoisting. It can predict the hoisting risk in real-time and investigate the spatial-temporal evolution law of the risk. Firstly, the multi-dimensional and multi-scale Digital Twin model is built by collecting the hoisting information. Secondly, a Digital Twin-Support Vector Machine (DT-SVM) algorithm is proposed to process the data stored in the virtual model and collected on the site. A case study of a prefabricated construction project reveals its prediction function and deduces the spatial-temporal evolution law of hoisting risk. The proposed method has made advancements in improving the safety management level of prefabricated hoisting. Moreover, the proposed method is able to identify the deficiencies regarding digital-twin-level control methods, which can be improved towards automatic controls in future studies.
Keyword ：
prefabricated construction hoisting prefabricated construction hoisting safety risks prediction safety risks prediction intelligent risk prediction intelligent risk prediction Digital Twin Digital Twin
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| GB/T 7714 | Liu, Zhan-Sheng , Meng, Xin-Tong , Xing, Ze-Zhong et al. Digital Twin-Based Intelligent Safety Risks Prediction of Prefabricated Construction Hoisting [J]. | SUSTAINABILITY , 2022 , 14 (9) . |
| MLA | Liu, Zhan-Sheng et al. "Digital Twin-Based Intelligent Safety Risks Prediction of Prefabricated Construction Hoisting" . | SUSTAINABILITY 14 . 9 (2022) . |
| APA | Liu, Zhan-Sheng , Meng, Xin-Tong , Xing, Ze-Zhong , Cao, Cun-Fa , Jiao, Yue-Yue , Li, An-Xiu . Digital Twin-Based Intelligent Safety Risks Prediction of Prefabricated Construction Hoisting . | SUSTAINABILITY , 2022 , 14 (9) . |
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Abstract ：
The component failure of spoke-wheel cable structures is a major concern among the present structural engineering community. This paper investigated the effect of component failure on the spoke-wheel cable structures through numerical and experimental studies. Firstly, a new simulation modification method was introduced based on the building information modelling (BIM) and three-dimensional laser scanning (3DLS). Then, the finite element (FE) simulation was carried out using the original or modified model and related to the experimental study on the component failure of a typical spoke-wheel cable structure. Breakages of the spoke cables, poles, and inner-rings were considered to evaluate their influences on the behaviour of the spoke-wheel cable structure. The accuracy enhancement brought by the novel approach based on BIM + 3DLS was demonstrated. Furthermore, the structural reliability analysis after the component failure based on the modified FE model was conducted. The result indicates that the breakage of the ring cable caused the collapse of the entire structure and the breakage of the lower spoke cable led to a negative reliability index indicating a structural failure as well. However, after breaking the upper spoke cable, the reliability index remained positive, although large displacements occurred at some nodes. In contrast, the breakage of the pole had a relatively small influence on the structure and did not cause the failure of the whole structure. Moreover, the method based on BIM + 3DLS could help to establish a more accurate simulation model and reduce the calculation errors of the cable force and structural displacement significantly.
Keyword ：
Three-dimensional laser scanning (3DLS) Three-dimensional laser scanning (3DLS) BIM + 3DLS BIM + 3DLS Building information modelling (BIM) Building information modelling (BIM) Spoke-wheel cable structure Spoke-wheel cable structure Component failure Component failure Numerical simulation Numerical simulation Reliability analysis Reliability analysis Experiment Experiment
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| GB/T 7714 | Liu, Zhansheng , Li, Hang , Liu, Yue et al. A novel numerical approach and experimental study to evaluate the effect of component failure on spoke-wheel cable structure [J]. | JOURNAL OF BUILDING ENGINEERING , 2022 , 61 . |
| MLA | Liu, Zhansheng et al. "A novel numerical approach and experimental study to evaluate the effect of component failure on spoke-wheel cable structure" . | JOURNAL OF BUILDING ENGINEERING 61 (2022) . |
| APA | Liu, Zhansheng , Li, Hang , Liu, Yue , Wang, Jingchao , Tafsirojjaman, T. , Shi, Guoliang . A novel numerical approach and experimental study to evaluate the effect of component failure on spoke-wheel cable structure . | JOURNAL OF BUILDING ENGINEERING , 2022 , 61 . |
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Abstract ：
Bridges are special infrastructures that emit large amounts of carbon dioxide from construction. Attention should be given to the carbon cost generated by the bridge, which includes its direct economic cost; the carbon cost is the largest driving force encouraging the enterprise to implement carbon emission reduction measures. In this study, the life cycle assessment (LCA) method is applied to carbon emissions in the bridge construction stage, which include emissions from material production, transportation and on-site construction; then, a carbon emission calculation model for the construction stage is established. Next, the carbon cost calculation model for the bridge in the construction stage is determined by combining the carbon pricing mechanisms of carbon emission taxing and trading to monetize carbon emissions. Finally, by taking a bridge in Beijing as an example, the carbon emissions in the bridge construction stage are calculated, and the carbon cost is calculated. The results show that carbon emission monetization is beneficial for clarifying the environmental impact of bridge construction; these calculations should be included in cost accounting.
Keyword ：
carbon emissions carbon emissions carbon cost carbon cost bridge bridge construction construction
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| GB/T 7714 | Wang, Jingjing , Pan, Ke , Wang, Cong et al. Integrated Carbon Emissions and Carbon Costs for Bridge Construction Projects Using Carbon Trading and Tax Systems-Taking Beijing as an Example [J]. | APPLIED SCIENCES-BASEL , 2022 , 12 (20) . |
| MLA | Wang, Jingjing et al. "Integrated Carbon Emissions and Carbon Costs for Bridge Construction Projects Using Carbon Trading and Tax Systems-Taking Beijing as an Example" . | APPLIED SCIENCES-BASEL 12 . 20 (2022) . |
| APA | Wang, Jingjing , Pan, Ke , Wang, Cong , Liu, Wenxiang , Wei, Jiajia , Guo, Kun et al. Integrated Carbon Emissions and Carbon Costs for Bridge Construction Projects Using Carbon Trading and Tax Systems-Taking Beijing as an Example . | APPLIED SCIENCES-BASEL , 2022 , 12 (20) . |
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Abstract ：
The information collected on large-span prestressed cables by field sensors is susceptible to interference, which leads to inaccurate collection of structural and mechanical parameters of large-span prestressed cables, resulting in misjudgment of structural safety performance. This paper proposes an intelligent judgment method for improving the sensitivity of analyzing mechanical parameters of prestressed cables based on digital twins (DTs). The safety performance of the structure was evaluated by analyzing the mechanical parameters. First, the information during prestressed cable tensioning is dynamically sensed, thereby establishing a multidimensional model of structural analysis. The virtual model is processed by the model modification rule to improve the robustness of the simulation; thus, a DT framework for the sensitivity judgment of the mechanical parameters of the cable is built. In the twin model, the simulation data of the real structure were extracted. Probabilistic analysis was performed using the Dempster-Shafer(D-S) evidence theory to discriminate the sensitivity of mechanical parameters of each cable node under the action of external forces with high accuracy and intelligence. Sensitivity analysis provides a reliable basis for the safety performance assessment of structures. Taking the wheel-spoke-type cable truss as an example, the application of DTs and D-S evidence theory to the sensitivity determination of cable mechanical parameters under temperature fully verified that the proposed intelligent method can effectively evaluate the safety performance of the actual structure.
Keyword ：
Dempster– Dempster– intelligent discrimination intelligent discrimination digital twin digital twin structural safety assessment structural safety assessment sensitivity of mechanical parameter sensitivity of mechanical parameter prestressed cable prestressed cable Shafer evidence theory Shafer evidence theory
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| GB/T 7714 | Liu, Zhansheng , Shi, Guoliang , Jiang, Antong et al. Intelligent Discrimination Method Based on Digital Twins for Analyzing Sensitivity of Mechanical Parameters of Prestressed Cables [J]. | APPLIED SCIENCES-BASEL , 2021 , 11 (4) . |
| MLA | Liu, Zhansheng et al. "Intelligent Discrimination Method Based on Digital Twins for Analyzing Sensitivity of Mechanical Parameters of Prestressed Cables" . | APPLIED SCIENCES-BASEL 11 . 4 (2021) . |
| APA | Liu, Zhansheng , Shi, Guoliang , Jiang, Antong , Li, Wenjie . Intelligent Discrimination Method Based on Digital Twins for Analyzing Sensitivity of Mechanical Parameters of Prestressed Cables . | APPLIED SCIENCES-BASEL , 2021 , 11 (4) . |
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Abstract ：
The increasing number of prefabrication projects has increased the demand for precast concrete (PC) components. The production cost of PC components significantly affects the development of the precast industry and the progress of prefabrication projects. To reduce the production cost, both the delivery delay time and component storage time must be reduced. Flow-arrangement optimization is generally performed using the genetic algorithm. However, this method cannot always yield a perfect optimal solution. Moreover, the traditional optimization model does not consider the impact of the overtime hours of workers on the project costs. In this study, a mixed-integer linear programming (MILP) model was developed to optimize the production scheduling by minimizing the storage and delay times. The total delay time for the components was reduced by 55.3%, from 3.8 to 1.7 h, and the total storage time for finished components was reduced by 20.3%, from 6.4 to 5.1 h. Then, the use of the MILP model was extended to optimize the production scheduling by minimizing overtime. Finally, the feasibility and effectiveness of MILP were verified by comparing the results. The total overtime decreased by approximately 24.5%, from 11.5 to 9.3 h. It has been demonstrated that the proposed MILP model can achieve a better production sequence with less overtime. The findings of this research can be deployed in optimizing efficiency in the real-life scheduling of production sequence.
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| GB/T 7714 | Liu, Zhansheng , Liu, Zisheng , Liu, Meng et al. Optimization of Flow Shop Scheduling in Precast Concrete Component Production via Mixed-Integer Linear Programming [J]. | ADVANCES IN CIVIL ENGINEERING , 2021 , 2021 . |
| MLA | Liu, Zhansheng et al. "Optimization of Flow Shop Scheduling in Precast Concrete Component Production via Mixed-Integer Linear Programming" . | ADVANCES IN CIVIL ENGINEERING 2021 (2021) . |
| APA | Liu, Zhansheng , Liu, Zisheng , Liu, Meng , Wang, Jingjing . Optimization of Flow Shop Scheduling in Precast Concrete Component Production via Mixed-Integer Linear Programming . | ADVANCES IN CIVIL ENGINEERING , 2021 , 2021 . |
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Abstract ：
The operation and maintenance stage of the long-span prestressed steel structure is the core link of the whole life cycle. At present, there are few studies on the change law of safety risk in the whole process of operation and maintenance, especially the research on the analysis and prediction of the change law of safety risk in the whole process of structural operation and maintenance by effectively using the abundant monitoring data and relevant safety risk information in the operation and maintenance stage, which also affects the prestressed steel, which also affects the efficiency of judgment and control decision-making of operation and maintenance safety state of prestressed steel structure. Taking the spoke-type cable truss as an example, this paper proposes a new concept of integrating the digital twin model (DTM) with steel structure operation and maintenance safety. Through the combination of real physical space dimensions and digital virtual space dimensions, it is based on a hypothetical analysis model. In the above, a theoretical framework is proposed, and a case analysis of a prestressed steel structure is carried out from big data, and the feasibility of applying this method in the prestress loss and uneven rain and snow load conditions is evaluated. This method can provide guidance for operation and maintenance management and formulate strategies in time.
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| GB/T 7714 | Liu, Zhansheng , Jiang, Antong , Zhang, Anshan et al. Intelligent Prediction Method for Operation and Maintenance Safety of Prestressed Steel Structure Based on Digital Twin Technology [J]. | ADVANCES IN CIVIL ENGINEERING , 2021 , 2021 . |
| MLA | Liu, Zhansheng et al. "Intelligent Prediction Method for Operation and Maintenance Safety of Prestressed Steel Structure Based on Digital Twin Technology" . | ADVANCES IN CIVIL ENGINEERING 2021 (2021) . |
| APA | Liu, Zhansheng , Jiang, Antong , Zhang, Anshan , Xing, Zezhong , Du, Xiuli . Intelligent Prediction Method for Operation and Maintenance Safety of Prestressed Steel Structure Based on Digital Twin Technology . | ADVANCES IN CIVIL ENGINEERING , 2021 , 2021 . |
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Abstract ：
In recent years, the accident rate of urban rail transit PPP (public-private partnerships) project under construction has been relatively high, and the issue of security risks has attracted great attention from all walks of life. Therefore, it is necessary to identify, analyze, and evaluate the issue of security risks of the urban rail transit PPP project. This paper takes the PPP project of urban rail transit as the object. Through offline interviews and surveys and online questionnaires, this paper focuses on identifying and analyzing the risks brought by the introduction of PPP mode to the urban rail transit project and its action mechanism. The risk evaluation method based on Bayesian network model is studied, which is described from three dimensions: risk occurrence probability, risk reasoning, and risk sensitivity. Finally, an example of Xuzhou Metro Line 3 is given to verify the feasibility of the proposed method. This study provides a reference basis for relevant practitioners and promotes the healthy development of the industry.
Keyword ：
Bayesian networks Bayesian networks PPP PPP construction risk construction risk risk evaluation risk evaluation urban rail transit urban rail transit
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| GB/T 7714 | Liu, Zhansheng , Jiao, Yueyue , Li, Anxiu et al. Risk Assessment of Urban Rail Transit PPP Project Construction Based on Bayesian Network [J]. | SUSTAINABILITY , 2021 , 13 (20) . |
| MLA | Liu, Zhansheng et al. "Risk Assessment of Urban Rail Transit PPP Project Construction Based on Bayesian Network" . | SUSTAINABILITY 13 . 20 (2021) . |
| APA | Liu, Zhansheng , Jiao, Yueyue , Li, Anxiu , Liu, Ximei . Risk Assessment of Urban Rail Transit PPP Project Construction Based on Bayesian Network . | SUSTAINABILITY , 2021 , 13 (20) . |
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