Development of a BIM-based bridge maintenance system (BMS) for managing defect data

Li, Sai; Zhang, Zhongjian; Ding, Lin; Zhang, Tongrui; Han, Lu

doi:10.1038/s41598-023-27924-6

Cited by 21 publications

(12 citation statements)

References 18 publications

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“…As a result, they obtain an intermediate 3D model object with potential BIM applications, such as bridge monitoring and evaluation. Li et al [52] proposed a Bridge Maintenance System (BMS) that utilizes Building Information Modelling (BIM) to manage bridge defect information digitally. Their system was tested on the Cocodala Bridge in Xinjiang, China, and allows for visualization of bridge defects, evaluation of technical conditions, and recommendations for bridge maintenance methods.…”

Section: Digitalization In Linear Projectsmentioning

confidence: 99%

Digitalization and Sustainability in Linear Projects Trends: A Bibliometric Analysis

Lozano-Ramírez,

Sánchez,

Carrasco-Beltrán

et al. 2023

Sustainability

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Linear infrastructure projects, including roads, tunnels, and railroads, are vital for the socioeconomic advancement of regions and nations. Given their large scale, these projects require significant resources, leading to substantial environmental impacts and demanding the collaboration of professionals from multiple disciplines. In this context, it is essential to adopt strategies that favor digitalization to enhance the sustainability of such projects by automating the analysis of various alternatives. Despite the proliferation of studies in this area, there needs to be more research synthesizing the main trends in digitalization and sustainability in linear projects. Given this knowledge gap, this study focuses on identifying and analyzing the main trends in digitalization and sustainability in the context of linear infrastructure projects. To this end, a comprehensive bibliometric analysis of a selected set of papers has been carried out. The research method follows five main steps: (1) scope definition, (2) selection of bibliometric analysis techniques, (3) data collection, (4) bibliometric analysis execution, and (5) evidence analysis and synthesis. An analysis of 419 documents was done, applying performance analysis and scientific mapping techniques. The results reveal that trends in digitalization and sustainability in linear projects can be categorized into five main clusters: road construction, road administration, life cycle analysis, digitalization of linear infrastructure, and sustainable development, leading this line of research towards computer-aided design technologies such as BIM, GIS, and computer vision to study sustainable development throughout the whole life cycle analysis of linear infrastructure projects.

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Section: Digitalization In Linear Projectsmentioning

confidence: 99%

Digitalization and Sustainability in Linear Projects Trends: A Bibliometric Analysis

Lozano-Ramírez,

Sánchez,

Carrasco-Beltrán

et al. 2023

Sustainability

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“…In order to effectively utilize the large amount of historical detection data accumulated in bridge maintenance management and realize data mining of bridge maintenance information, it is necessary to establish a bridge maintenance stage status information database as the basis for data [9,10]. The data in the database should be strictly standardized, versatile, and easy to mine.…”

Section: Framework Of Bridge Maintenance Information Classification S...mentioning

confidence: 99%

Research on Information Coding and Management for Big Data Mining in Highway Bridge Operation and Maintenance

Hu¹,

Ma²,

Zhu³

et al. 2023

Atlantis Highlights in Intelligent Systems

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In order to make full use of the available information in the operation and maintenance (O&M) stage, such as historical inspection results, and enhance the effectiveness of bridge O&M, this paper presents a method for classifying and coding bridge O&M stage information. An analysis of common construction information classification systems, including OmniClass, GB/T 51269-2017, and JTG/T 2420-2021, which are widely adopted domestically and internationally, reveals their inadequacy in addressing the data recording requirements of the bridge O&M process. In response, the proposed method improves upon existing systems and employs a combination of linear classification and side classification methods. The method comprises six recommended tables for information classification, each with corresponding classification rules and coding methods. This approach effectively transforms O&M phase data into structured bridge status information, thereby providing a database for big data mining.

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“…The use of BIM models in operation focuses on their use for maintenance management [13,14], such as building inspection [15,16], monitoring [17,18] and diagnostics [19,20]. Initial approaches to implementing digital twins in the operation of bridge structures also exist [21][22][23].…”

Section: Original Article Abstractmentioning

confidence: 99%

Sustainability assessment of bridge structures in the operation phase based on a digital twin

Jäkel,

Kaus,

Klemt‐Albert

2023

ce papers

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There are about 65,000 bridge structures in the infrastructure network of the Federal Republic of Germany. Due to the long operating phase of bridges, they have an influence on sustainability. To evaluate the sustainability of bridges in the operational phase, digital building models can serve as a consistent and structured database to increase the efficiency and transparency.In this article, an innovative evaluation system for measuring and assessing the sustainability of a bridge structure in the operational phase based on a digital bridge twin is developed. First, the workflow is presented in a process model and the necessary requirements for the digital twin of the bridge structure are defined. In addition, the semi‐automatic sustainability assessment system is described and the linkage via an interoperable interface to the digital twin is designed. The approach is tested and validated using a real demonstrator. The result of the paper shows an approach to use digital twins for a novel and semi‐automatic sustainability assessment in the operation of bridge structures.

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Development of a BIM-based bridge maintenance system (BMS) for managing defect data

Cited by 21 publications

References 18 publications

Digitalization and Sustainability in Linear Projects Trends: A Bibliometric Analysis

Digitalization and Sustainability in Linear Projects Trends: A Bibliometric Analysis

Research on Information Coding and Management for Big Data Mining in Highway Bridge Operation and Maintenance

Sustainability assessment of bridge structures in the operation phase based on a digital twin

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