Deterioration Assessment of Infrastructure Using Fuzzy Logic and Image Processing Algorithm

Simple item page
dc.contributor.authorPragalath, Haran
dc.contributor.authorSeshathiri, Sankarasrinivasan
dc.contributor.authorRathod, Harsh
dc.contributor.authorEsakki, Balasubramanian
dc.contributor.authorGupta, Rishi
dc.date.accessioned2020-10-23T21:11:41Z
dc.date.available2020-10-23T21:11:41Z
dc.date.copyright2018en_US
dc.date.issued2018
dc.description.abstractThe safety and serviceability of civil infrastructures have to be ensured either as part of a periodic inspection program or immediately following a given hazardous event. The use of digital imaging techniques to identify the deformed or deteriorated surfaces of structures is a substantial area of research and aims to investigate a number of unknown parameters, including damage quantification and condition rating. This manuscript illustrates the integration of previously developed fuzzy logic–based decision-making tools with the currently developed image processing algorithm to quantify the damage for the condition rating of civil infrastructures. The proposed integrated framework exploits visual specifics of different elements of the infrastructure to perform automated evaluation of structural anomalies such as cracks and surface degradation. Two different image segmentation tools, (1) bottom hat transform and (2) hue, saturation, color (HSV) thresholding, are applied to identify the surface defects. The developed image processing software is used with the fuzzy set framework proposed in the previous research to gauge the damage indices due to various deterioration types like corrosion, alkali aggregate reaction, freeze–thaw attack, sulfate attack, acid attack or loading, fatigue, shrinkage, and honeycombing. Case studies of a long-span bridge and a warehouse building are illustrated for concept validation. The refined comprehensive method is presented as a graphical user interface (GUI) to facilitate the real-time condition assessment of civil infrastructures.en_US
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelFacultyen_US
dc.description.sponsorshipThe financial assistance extended by Department of Science and Technology, India [DST/INT/Canada/IC—IMPACTS/P-3/2015 (G)] and India-Canada IMPACTS, Centre of Excellence, CANADA under Indo-Canada collaborative project scheme is thankfully acknowledged. We would also like to thank Southern Railways, India, for their onsite technical support.en_US
dc.identifier.citationPragalath, H., Seshathiri, S., Rathod, H., Esakki, B., & Gupta, R. (2018). Deterioration Assessment of Infrastructure Using Fuzzy Logic and Image Processing Algorithm. Journal of Performance of Constructed Facilities, 32(2), 1-13. https://doi.org/10.1061/(ASCE)CF.1943-5509.0001151.en_US
dc.identifier.urihttps://doi.org/10.1061/(ASCE)CF.1943-5509.0001151
dc.identifier.urihttp://hdl.handle.net/1828/12254
dc.language.isoenen_US
dc.publisherJournal of Performance of Constructed Facilitiesen_US
dc.subjectImage algorithmsen_US
dc.subjectFuzzy set frameworken_US
dc.subjectDeteriorationen_US
dc.subjectStructural health monitoringen_US
dc.subjectGraphical user interface (GUI)en_US
dc.subjectStructural condition damage index (SCI)en_US
dc.titleDeterioration Assessment of Infrastructure Using Fuzzy Logic and Image Processing Algorithmen_US
dc.typePostprinten_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Pragalath_Haran_JPerformConstrFacil_2018.pdf
Size:
2.1 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Faculty Publications (Engineering and Computer Science)
 
University of Victoria Libraries

We acknowledge and respect the Lək̓ʷəŋən (Songhees and Esquimalt) Peoples on whose territory the university stands, and the Lək̓ʷəŋən and W̱SÁNEĆ Peoples whose historical relationships with the land continue to this day.