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Developing an Ontology for Concrete Surface Defects to Enhance Inspection, Diagnosis and Repair Information Modeling

Title:

Developing an Ontology for Concrete Surface Defects to Enhance Inspection, Diagnosis and Repair Information Modeling

Bahreini, Fardin ORCID: https://orcid.org/0000-0002-6832-2597 and Hammad, Amin ORCID: https://orcid.org/0000-0002-2507-4976 (2024) Developing an Ontology for Concrete Surface Defects to Enhance Inspection, Diagnosis and Repair Information Modeling. Infrastructures, 9 (12). p. 220. ISSN 2412-3811

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Official URL: https://doi.org/10.3390/infrastructures9120220

Abstract

Facility maintenance requires thorough inspections throughout a facility’s lifecycle to ensure structural integrity and longevity. A significant challenge lies in managing the semantic relationships between various inspection data across different lifecycle phases and effectively representing inspection results. While numerous studies have focused on identifying, analyzing, repairing, and preventing defects, organizing and integrating this information systematically for future use remains unaddressed. This paper introduces the Ontology for Concrete Surface Defects (OCSD), a unified knowledge model that enables stakeholders to access information systematically. OCSD aims to enhance future asset management systems by providing comprehensive knowledge about concrete surface defects, encompassing inspection, diagnosis, 3R (Repair, Rehabilitation, and Replacement), and defect concepts. Although the integration with Building Information Modeling (BIM) standards like the Industry Foundation Classes (IFC) is not undertaken in this study, OCSD provides a foundational framework that can facilitate such mappings in subsequent studies or applications. The methodology includes reviewing existing literature to define relevant concepts, outlining steps for developing OCSD, creating its basic components, and evaluating its effectiveness. The semantic representation of OCSD was assessed through a survey, confirming its ability to clarify concepts and relationships in this field.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Building, Civil and Environmental Engineering
Item Type:Article
Refereed:Yes
Authors:Bahreini, Fardin and Hammad, Amin
Journal or Publication:Infrastructures
Date:3 December 2024
Digital Object Identifier (DOI):10.3390/infrastructures9120220
ID Code:994862
Deposited By: Fardin Bahreini
Deposited On:19 Dec 2024 14:05
Last Modified:19 Dec 2024 14:05
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