Improved visualization of infrastructure monitoring data using building information modeling

Boddupalli, Chanakya; Sadhu, Ayan; Azar, Ehsan Rezazadeh; Pattyson, Scott

doi:10.1080/15732479.2019.1602150

Cited by 60 publications

(32 citation statements)

References 28 publications

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“…Traditional approaches being insufficient in monitoring a huge number of health monitoring data, researchers utilized BIM for modeling of a bridge with long span to analyze a large amount of sensor data over a prolonged period. Their model was a simple, practical, and economic framework for verification and monitoring of long-term structure data [ 202 ]. Detecting and controlling the shape deformation of bridges prepares beneficial information for engineers during life cycle of bridges.…”

Section: Content Analysismentioning

confidence: 99%

Application of Building Information Modelling (BIM) in the Health Monitoring and Maintenance Process: A Systematic Review

Panah

Kioumarsi

2021

Sensors

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Improvements in the science of health monitoring and maintenance have facilitated the observation of damage and defects in existing structures and infrastructures, such as bridges and railways. The need to extend sensing technology through the use of wireless sensors as well as the lack of description tools for understanding, visualizing, and documenting sensor outputs has encouraged researchers to use powerful tools such as Building Information Modelling (BIM) systems. BIM has become important because of conducting tools widely used in the Architecture, Engineering, and Construction (AEC) industry to present and manage information on structural systems and situations. Since combining health monitoring and maintenance results with BIM models is a new field of study, and most projects utilize various aspects of it, we have conducted a review of important work related to this subject published from 2010 to November of 2020. After reviewing 278 journal articles, research trends, approaches, methods, gaps, and future agenda related to BIM in monitoring and maintenance were highlighted. This paper, through a bibliometric and content analysis, concludes that besides main improvements, some limitations now exist which affect the modeling and maintenance process. These limitations are related to extending the IFC schema, optimizing sensor data, interoperability among various BIM platforms, optimization of various sensing technologies for fault detection and management of huge amounts of data, besides consideration of environmental effects on monitoring hazards and underground objects. Finally, this paper aims to help to solve the mentioned limitation through a comprehensive review of existing research.

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Section: Content Analysismentioning

confidence: 99%

Application of Building Information Modelling (BIM) in the Health Monitoring and Maintenance Process: A Systematic Review

Panah

Kioumarsi

2021

Sensors

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“…Detailed knowledge and understanding of the condition of physical components of transport infrastructure are essential for undisturbed transport of people and goods and thus for every person's well-being. Some recent attempts managed to integrate structural health monitoring (SHM) data into BIM to some extent [24,25].…”

Section: Sensing In Civil Engineeringmentioning

confidence: 99%

Digital Twins and Road Construction Using Secondary Raw Materials

Meža

Pranjić

Vezočnik

et al. 2021

Journal of Advanced Transportation

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Secondary raw materials (SRMs) tend to be a valuable replacement for finite virgin materials especially since construction works (i.e., building and civil engineering work such as road construction) require vast quantities of raw materials. Using SRM originating from recycling a broad range of inorganic waste materials (e.g., mining waste, different industrial wastes, construction, and demolition waste) has been recognized as a promising, generally more cost-efficient, and environmentally friendly alternative to the exploitation of natural resources. Despite the benefits of using SRM, several challenges need to be addressed before using SRM even more. One of them is the long-term durability and little-known response of construction works built using such alternative materials. In this paper, we present the activities to establish a fully functioning digital twin (DT) of a road constructed using SRM. The first part of the paper is devoted to the theoretical justification of efforts and ways of establishing the monitoring systems, followed by a DT case study where an integrated data environment synthesizing a Building Information Model and monitored data is presented. Although the paper builds upon a small scale, the case study is methodologically designed to allow parallels to be drawn with much larger construction projects.

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“…The building information model and the finite element analysis can be further integrated [22 ], and the combination of the two can better evaluate the structural performance. Chanakya Boddupalli et al [23] integrated the system identification component of SHM with BIM. By comparing SHM data with the predicted response of finite element (FE) model, the structural performance under various weather and operating conditions can be identified, so that the damage assessment of key structures can be better and the visualization of infrastructure monitoring data can be improved.…”

Section: The Concept Of Building Information Modeling (Bim) Was Firstmentioning

confidence: 99%

Visualization and monitoring information management of bridge structure health and safety early warning based on BIM

Lang-ni

Lai

et al. 2021

Journal of Asian Architecture and Building Engineering

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Improved visualization of infrastructure monitoring data using building information modeling

Cited by 60 publications

References 28 publications

Application of Building Information Modelling (BIM) in the Health Monitoring and Maintenance Process: A Systematic Review

Application of Building Information Modelling (BIM) in the Health Monitoring and Maintenance Process: A Systematic Review

Digital Twins and Road Construction Using Secondary Raw Materials

Visualization and monitoring information management of bridge structure health and safety early warning based on BIM

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