Extended Reality (XR) for Condition Assessment of Civil Engineering Structures: A Literature Review

Author:

Catbas Fikret NecatiORCID,Luleci FurkanORCID,Zakaria MahtaORCID,Bagci Ulas,LaViola Joseph J.,Cruz-Neira Carolina,Reiners Dirk

Abstract

Condition assessment of civil engineering structures has been an active research area due to growing concerns over the safety of aged as well as new civil structures. Utilization of emerging immersive visualization technologies such as Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) in the architectural, engineering, and construction (AEC) industry has demonstrated that these visualization tools can be paradigm-shifting. Extended Reality (XR), an umbrella term for VR, AR, and MR technologies, has found many diverse use cases in the AEC industry. Despite this exciting trend, there is no review study on the usage of XR technologies for the condition assessment of civil structures. Thus, the present paper aims to fill this gap by presenting a literature review encompassing the utilization of XR technologies for the condition assessment of civil structures. This study aims to provide essential information and guidelines for practitioners and researchers on using XR technologies to maintain the integrity and safety of civil structures.

Funder

U.S. National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation

Transportation Research Board of The National Academies-IDEA

National Aeronautics and Space Administration

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference132 articles.

1. Catbas, F.N. (1997). Investigation of Global Condition Assessment and Structural Damage Identification of Bridges with Dynamic Testing and Modal Analysis. [Ph.D. Dissertation, University of Cincinnati].

2. Zaurin, R., and Catbas, F.N. (2022, November 02). Computer Vision Oriented Framework for Structural Health Monitoring of Bridges. Conference Proceedings of the Society for Experimental Mechanics Series; Scopus Export 2000s. 5959. Available online: https://stars.library.ucf.edu/scopus2000/5959.

3. Basharat, A., Catbas, N., and Shah, M. (2005, January 8–12). A Framework for Intelligent Sensor Network with Video Camera for Structural Health Monitoring of Bridges. Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications Workshops, Kauai, HI, USA.

4. Catbas, F.N., and Khuc, T. (2018). Bridge Design, Assessment and Monitoring, Taylor Francis.

5. A Review of Computer Vision–Based Structural Health Monitoring at Local and Global Levels;Dong;Struct Health Monit.,2021

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