Framework of Scan to Building Information Modeling for Geometric Defect Localization in Railway Track Maintenance

Railway transportation plays a vital role in modern society, enabling the safe and efficient movement of people and goods over long distances. To ensure the longevity and safety of a railway infrastructure, the regular maintenance of tracks is crucial. Traditional track inspections, conducted manually to monitor geometric parameters and to identify defects, are time-consuming, labor-intensive, and prone to human error. Current Scan-to-BIM frameworks for railway maintenance also lack standardized methods for extracting geometric parameters that can be easily integrated into Building Information Modeling (BIM). Additionally, the Industry Foundation Classes (IFC) standard, used for BIM data exchange, does not support storing parameter values at specific chainage points along the track, limiting defect localization. A framework is proposed to address these challenges by standardizing the extraction of geometric parameters from point cloud data and ensuring seamless integration with BIM. The framework calculates parameters at station chainage points and generates additional chainage points along the track, associating the data with the corresponding chainage. A case study demonstrates the framework’s ability to enhance defect localization, using the EN 13848-5 European Standard to identify defects at specific chainages. Ultimately, this approach contributes to the more effective lifecycle management of railway tracks.

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Publication Details

Journal
Buildings
Published
2024-11-11
DOI
https://doi.org/10.3390/buildings14113578
Citations
4
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
1.06

Funders

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article

Framework of Scan to Building Information Modeling for Geometric Defect Localization in Railway Track Maintenance

Bilawal Mahmood, Seok Kim
4 citations
Buildings
BIM and Construction Integration
1.06
article

Framework of Scan to Building Information Modeling for Geometric Defect Localization in Railway Track Maintenance

Bilawal Mahmood, Seok Kim
article en
4 citations

Abstract

Railway transportation plays a vital role in modern society, enabling the safe and efficient movement of people and goods over long distances. To ensure the longevity and safety of a railway infrastructure, the regular maintenance of tracks is crucial. Traditional track inspections, conducted manually to monitor geometric parameters and to identify defects, are time-consuming, labor-intensive, and prone to human error. Current Scan-to-BIM frameworks for railway maintenance also lack standardized methods for extracting geometric parameters that can be easily integrated into Building Information Modeling (BIM). Additionally, the Industry Foundation Classes (IFC) standard, used for BIM data exchange, does not support storing parameter values at specific chainage points along the track, limiting defect localization. A framework is proposed to address these challenges by standardizing the extraction of geometric parameters from point cloud data and ensuring seamless integration with BIM. The framework calculates parameters at station chainage points and generates additional chainage points along the track, associating the data with the corresponding chainage. A case study demonstrates the framework’s ability to enhance defect localization, using the EN 13848-5 European Standard to identify defects at specific chainages. Ultimately, this approach contributes to the more effective lifecycle management of railway tracks.

BuildingsVol. 14(11)
Korea National University of Transportation (KR)
National Research Foundation of Korea
Industry, innovation and infrastructure
Openalex Percentile: Top 24%
BIM and Construction Integration
1.06
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Framework of Scan to Building Information Modeling for Geometric Defect Localization in Railway Track Maintenance — Bilawal Mahmood, Seok Kim · Buildings (2024) | TGRS Research Map | TGRS