{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T22:35:41Z","timestamp":1765233341371,"version":"build-2065373602"},"reference-count":37,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2022,6,2]],"date-time":"2022-06-02T00:00:00Z","timestamp":1654128000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>In the construction process of beam string structures, the environmental effect and corresponding mechanical properties of the structure are complex. The problem of the misjudgment of structural safety performance caused by the uncertainty of a structural mechanical parameter analysis under various factors needs to be solved. In this study, a method for capturing key components and an intelligent safety analysis of beam string structures based on digital twins (DTs) was proposed. Combined with the characteristics of DTs mapping feedback, a component capture and security analysis framework was formed. Driven by twin framework, multi-source data for structural safety analysis were obtained and the parameter association mechanism established. Considering the space-time evolution and the interaction between the virtual and real elements of the construction process, a multidimensional model was established. Driven by the Dempster\u2013Shafer (D\u2013S) evidence theory, the fusion of structural mechanics parameters was carried out. The safety of the structure was analyzed intelligently by capturing key structural components, thereby providing a basis for the safety maintenance of the structure. The integration of DTs modeling and multi-source data improves the accuracy and intelligence of structural construction safety analysis. In the analysis process, capturing the key components of the structure is the core step. Taking the construction process of a string supported beam roof (symmetrical structure) in a convention and exhibition center as an example, the outlined research method was applied. Based on DTs and D\u2013S evidence theory, the variation degree of mechanical parameters of various components under temperature was determined. By comprehensively investigating the changes of various mechanical parameters, the key components of the structure were captured. Thus, the intelligent analysis of structural safety was realized. The comparison of data verified that the intelligent method can effectively analyze the safety performance of the structure.<\/jats:p>","DOI":"10.3390\/sym14061152","type":"journal-article","created":{"date-parts":[[2022,6,3]],"date-time":"2022-06-03T08:01:18Z","timestamp":1654243278000},"page":"1152","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Key Component Capture and Safety Intelligent Analysis of Beam String Structure Based on Digital Twins"],"prefix":"10.3390","volume":"14","author":[{"given":"Haoliang","family":"Zhu","sequence":"first","affiliation":[{"name":"School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, China"}]},{"given":"Yousong","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,6,2]]},"reference":[{"key":"ref_1","first-page":"101","article-title":"Key construction technology of annular crossed cable-truss structure","volume":"54","author":"Lu","year":"2021","journal-title":"J. Tianjin Univ. Sci. Technol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"737","DOI":"10.1016\/j.engstruct.2016.09.002","article-title":"Pretension simulation and experiment of a negative Gaussian curvature cable dome","volume":"127","author":"Guo","year":"2016","journal-title":"Eng. Struct."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.engstruct.2016.04.005","article-title":"Numerical analysis of the pretension deviations of novel crescent-shaped tensile canopy structural system","volume":"119","author":"Deng","year":"2016","journal-title":"Eng. Struct."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1177\/0956059919887846","article-title":"Study on membrane roof schemes of annular crossed cable-truss structure","volume":"34","author":"Lu","year":"2019","journal-title":"Int. J. Space Struct."},{"key":"ref_5","first-page":"30","article-title":"Mechanical behavior of single-layer saddle-shape crossed cable net without inner-ring","volume":"42","author":"Xue","year":"2021","journal-title":"J. Build. Struct."},{"key":"ref_6","first-page":"1","article-title":"Influence on static performance of loop-free suspen-dome after removal of cables","volume":"41","author":"Liu","year":"2020","journal-title":"J. Build. Struct."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Krishnan, S. (2020). Structural design and behavior of prestressed cable domes. Eng. Struct., 209.","DOI":"10.1016\/j.engstruct.2020.110294"},{"key":"ref_8","first-page":"47","article-title":"Research on Influence of Construction Error and Controlling Techniques of Compound Cable Dome","volume":"45","author":"Chen","year":"2018","journal-title":"J. Hunan Univ. (Nat. Sci.)"},{"key":"ref_9","first-page":"73","article-title":"Study on design of prestressed tensegrity cable structures","volume":"40","author":"Ge","year":"2019","journal-title":"J. Build. Struct."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1016\/j.finel.2010.10.005","article-title":"Nonlinear static and dynamic analysis of cable structures","volume":"47","author":"Thai","year":"2011","journal-title":"Finite Elem. Anal. Des."},{"key":"ref_11","first-page":"211","article-title":"Calculation method of prestress distribution for levy cable dome with double struts considering self-weight","volume":"34","author":"Zhang","year":"2017","journal-title":"Eng. Mech."},{"key":"ref_12","first-page":"52","article-title":"Experimental study on the influences of cable length errors in Geiger cable dome designed with unadjustable cable length","volume":"51","author":"Guo","year":"2018","journal-title":"China Civ. Eng. J."},{"key":"ref_13","first-page":"53","article-title":"Study on the determination method for the equivalent pre-tension in cables of spatial prestressed steel structure","volume":"46","author":"Wang","year":"2013","journal-title":"China Civ. Eng. J."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.ijfatigue.2007.02.014","article-title":"A critical comparison of two models for assessment of atigue data","volume":"30","author":"Castillo","year":"2008","journal-title":"Int. J. Fatigue"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.jcsr.2016.11.013","article-title":"Effects of temperature changes on the behavior of a cable truss system","volume":"129","author":"Arezki","year":"2017","journal-title":"J. Constr. Steel Res."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Basta, A., Serror, M.H., and Marzouk, M. (2020). A BIM-based framework for quantitative assessment of steel structure deconstructability. Autom. Constr., 111.","DOI":"10.1016\/j.autcon.2019.103064"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Liu, Z., Shi, G., Zhang, A., and Huang, C. (2020). Intelligent Tensioning Method for Prestressed Cables Based on Digital Twins and Artificial Intelligence. Sensors, 20.","DOI":"10.3390\/s20247006"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Yang, Y., Zhang, Y., and Tan, X. (2021). Review on Vibration-Based Structural Health Monitoring Techniques and Technical Codes. Symmetry, 13.","DOI":"10.3390\/sym13111998"},{"key":"ref_19","unstructured":"Grieves, M. (2011). Virtually Perfect: Driving Innovative and Lean Products through Product Lifecycle Management, Space Coast Press."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Shirowzhan, S., Tan, W., and Sepasgozar, S.M.E. (2020). Digital Twin and Cyber GIS for Improving Connectivity and Measuring the Impact of Infrastructure Construction Planning in Smart Cities. Int. J. Geo-Inf., 9.","DOI":"10.3390\/ijgi9040240"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"LeCun","year":"2015","journal-title":"Nature"},{"key":"ref_22","first-page":"962","article-title":"Dynamic Fire Evacuation Guidance Method for Winter Olympic Venues Based on Digital Twin-Driven Model","volume":"48","author":"Liu","year":"2020","journal-title":"J. Tongji Univ. (Nat. Sci.)"},{"key":"ref_23","first-page":"36","article-title":"Multi-position damage identification and anti-noise analysis of cable-stayed arch-truss based on data fusion","volume":"41","author":"Zeng","year":"2020","journal-title":"J. Build. Struct."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/j.isprsjprs.2019.02.020","article-title":"BIM-PoseNet: Indoor camera localisation using a 3D indoor model and deep learning from synthetic images","volume":"150","author":"Acharya","year":"2019","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Liu, Z., Shi, G., Jiao, Z., and Zhao, L. (2021). Intelligent Safety Assessment of Prestressed Steel Structures Based on Digital Twins. Symmetry, 13.","DOI":"10.3390\/sym13101927"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Zhao, L., Cao, Z., Wang, Z., and Fan, F. (2021). Initial prestress design and optimization of cable-stiffened latticed shells. J. Constr. Steel Res., 184.","DOI":"10.1016\/j.jcsr.2021.106759"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Zhu, H., and Wang, Y. (2022). Intelligent Analysis for Safety-Influencing Factors of Prestressed Steel Structures Based on Digital Twins and Random Forest. Metals, 12.","DOI":"10.3390\/met12040646"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Zhu, H., and Wang, Y. (2022). Intelligent Prediction of Prestressed Steel Structure Construction Safety Based on BP Neural Network. Appl. Sci., 12.","DOI":"10.3390\/app12031442"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Luo, Y.Z., Fu, W.W., Wan, H.P., and Shen, Y. (2022). Load-Effect Separation of a Large-Span Prestressed Structure Based on an Enhanced EEMD-ICA Methodology. J. Struct. Eng., 148.","DOI":"10.1061\/(ASCE)ST.1943-541X.0003263"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Chen, H.P., Yin, S.W., Qiao, C., and He, J. (2022). Construction Effects on the Mechanical States of a Truss Structure. J. Perform. Constr. Facil., 36.","DOI":"10.1061\/(ASCE)CF.1943-5509.0001630"},{"key":"ref_31","first-page":"1","article-title":"Developing a dynamic digital twin at building and city levels: A case study of the West Cambridge campus","volume":"36","author":"Lu","year":"2019","journal-title":"J. Manag. Eng."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"746","DOI":"10.1109\/TII.2020.3002197","article-title":"Utilizing Industry 4.0 on the Construction Site: Challenges and Opportunities","volume":"17","author":"Turner","year":"2021","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Liu, Z., Shi, G., Jiang, A., and Li, W. (2021). Intelligent Discrimination Method Based on Digital Twins for Analyzing Sensitivity of Mechanical Parameters of Prestressed Cables. Appl. Sci., 11.","DOI":"10.3390\/app11041485"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1016\/j.ijar.2020.06.008","article-title":"An Interval-Valued Utility Theory for Decision Making with Dempster-Shafer Belief Functions. International","volume":"124","author":"Denoeux","year":"2020","journal-title":"J. Approx. Reason."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Ma, C., Zhao, T., Li, G., Zhang, A., and Cheng, L. (2022). Intelligent Anomaly Identification of Uplift Pressure Monitoring Data and Structural Diagnosis of Concrete Dam. Appl. Sci., 12.","DOI":"10.3390\/app12020612"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Yang, Y., Lu, H., Tan, X., Chai, H.K., Wang, R., and Zhang, Y. (2022). Fundamental mode shape estimation and element stiffness evaluation of girder bridges by using passing tractor-trailers. Mech. Syst. Signal Processing, 169.","DOI":"10.1016\/j.ymssp.2021.108746"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Yang, Y., Ling, Y., Tan, X., Wang, S., and Wang, R.Q. (2022). Damage identification of frame structure based on approximate Metropolis\u2013Hastings algorithm and probability density evolution method. Int. J. Struct. Stab. 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