Field Judgment and Structural Repair in RCC Crack Diagnosis: Integrating Expertise with Remedial Action

Crack diagnosis and repair decisions in RCC structures are often shaped by experienced engineers’ field judgment rather than formal classifications alone. This study draws on diagnostic insights from 40 cracked buildings in Tamil Nadu and Karnataka, using a hybrid dataset that integrates empirical testing with interpretive interviews. The analysis explores how crack type, recurrence risk, and observed severity influence remedial strategies such as epoxy grouting, slab repair, and structural strengthening. Chi-square tests validate that crack type alone does not predict the need for structural reinforcement, while recurrence risk shows significant association with long-term repair proposals. The study affirms the diagnostic value of experiential logic in engineering decision-making and proposes a Decision Integration Matrix to guide responsive, evidencebased repair planning.

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-23
DOI
https://doi.org/10.22214/ijraset.2025.71319
Primary Topic
Non-Destructive Testing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Field Judgment and Structural Repair in RCC Crack Diagnosis: Integrating Expertise with Remedial Action

E. G. Ramachandran
International Journal for Research in Applied Science and Engineering Technology
Non-Destructive Testing Techniques
article

Field Judgment and Structural Repair in RCC Crack Diagnosis: Integrating Expertise with Remedial Action

E. G. Ramachandran
article en

Abstract

Crack diagnosis and repair decisions in RCC structures are often shaped by experienced engineers’ field judgment rather than formal classifications alone. This study draws on diagnostic insights from 40 cracked buildings in Tamil Nadu and Karnataka, using a hybrid dataset that integrates empirical testing with interpretive interviews. The analysis explores how crack type, recurrence risk, and observed severity influence remedial strategies such as epoxy grouting, slab repair, and structural strengthening. Chi-square tests validate that crack type alone does not predict the need for structural reinforcement, while recurrence risk shows significant association with long-term repair proposals. The study affirms the diagnostic value of experiential logic in engineering decision-making and proposes a Decision Integration Matrix to guide responsive, evidencebased repair planning.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Openalex Percentile: Top 89%
Non-Destructive Testing Techniques
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