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Li Xu
College of Civil Engineering, Fuzhou University, Fuzhou 350116, China

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Review
Published: 05 July 2021 in Applied Sciences
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In recent years, interest in BIM and GIS applications in civil engineering has been growing. For bridge engineering, BIM/GIS applications such as simulation, visualization, and secondary development have been used to assist practitioners in managing bridge construction and decision-making, including selection of bridge location maintenance decisions. In situ 3D modelling of existing bridges with detailed images from UAV camera has allowed engineers to conduct remote condition assessments of bridges and decide on required maintenance actions. Several studies have investigated the applications of BIM/GIS technology on bridge projects. However, there has been limited focus on reviewing the outcomes of these studies to identify the limitations of BIM and GIS applications on bridge projects. Therefore, the aim of this study was to review the research on BIM/GIS technology applications in bridge projects over the last decade. Using a systematic review process, a total of 90 publications that met the inclusion criteria were reviewed in this study. The review identified the state-of-the-art methods of BIM and GIS applications, respectively, at the planning and design, construction, and operation and maintenance phases of bridge projects. However, the findings point to segregated application of BIM and GIS at all phases of bridge projects. The findings of this study will contribute to guiding practitioners in selecting appropriate BIM and GIS technologies for different aspects of bridge projects.

ACS Style

Jiangang Wei; Gang Chen; Jizhuo Huang; Li Xu; Yan Yang; Jun Wang; Abdul-Manan Sadick. BIM and GIS Applications in Bridge Projects: A Critical Review. Applied Sciences 2021, 11, 6207 .

AMA Style

Jiangang Wei, Gang Chen, Jizhuo Huang, Li Xu, Yan Yang, Jun Wang, Abdul-Manan Sadick. BIM and GIS Applications in Bridge Projects: A Critical Review. Applied Sciences. 2021; 11 (13):6207.

Chicago/Turabian Style

Jiangang Wei; Gang Chen; Jizhuo Huang; Li Xu; Yan Yang; Jun Wang; Abdul-Manan Sadick. 2021. "BIM and GIS Applications in Bridge Projects: A Critical Review." Applied Sciences 11, no. 13: 6207.

Journal article
Published: 12 December 2019 in Applied Sciences
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The deflections of retaining structures during deep excavation should be controlled below a predefined threshold in an attempt to mitigate the deformation-posed damage to the surrounding buildings and infrastructure facilities. In this paper, a new approach is presented to conducting deformation reliability assessments of retaining structures. The method is based on an extension of the classical first-passage reliability problem and is applied on the spatial scale of the retaining structures. With the proposed method, the in situ monitoring data and the associated measurement error can be easily incorporated, which accordingly improves the assessment accuracy. Moreover, the proposed method has a closed-form solution, which is beneficial for the computation efficiency and its practical application. The method was applied to assess the retaining structure reliability in a foundation excavation of a subway station in Fuzhou, China. The accuracy of the analytical results was verified through a comparison with those of Monte Carlo simulation. It was shown that the proposed method can represent well, the deformation-based safety level of retaining structures.

ACS Style

Li Xu; Yang Xu; Cao Wang; Kairui Feng. Data-Driven Deformation Reliability of Retaining Structures in Deep Excavations Considering Measurement Error. Applied Sciences 2019, 9, 5466 .

AMA Style

Li Xu, Yang Xu, Cao Wang, Kairui Feng. Data-Driven Deformation Reliability of Retaining Structures in Deep Excavations Considering Measurement Error. Applied Sciences. 2019; 9 (24):5466.

Chicago/Turabian Style

Li Xu; Yang Xu; Cao Wang; Kairui Feng. 2019. "Data-Driven Deformation Reliability of Retaining Structures in Deep Excavations Considering Measurement Error." Applied Sciences 9, no. 24: 5466.