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Developing Empirical Models for Assessing On-Site Performance of Structural Concrete Elements through Nondestructive Testing Methods
SR University, Warangal, India.
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Building Engineering, Energy Systems and Sustainability Science, Energy Systems and Building Technology.ORCID iD: 0000-0002-9431-7820
Cheran College of Technology, Kangeyam, India.
SNS College of Technology, Coimbatore, India.
2025 (English)In: Advances in Sustainable Concrete for Construction / [ed] Alireza Bahrami, Springer , 2025, p. 79-98Chapter in book (Refereed)
Abstract [en]

This chapter aims to establish an appropriate model for predicting the strength properties of cast-in-situ concrete and pumpable structural concrete elements using nondestructive testing methods. The widely used nondestructive testing methods like Schmidt rebound hammer tests and ultrasonic pulse velocity tests were employed to develop the new empirical model suited for the structures, which can be preserved for assessing the performance periodically. M20-grade normal concrete to M60-grade high-strength concrete were considered for cast-in-situ type concrete and pumpable concrete for establishing the models. The cube concrete specimens were prepared in a laboratory environment and also at the delivery point of concrete construction to determine the actual compressive strength by the destructive method. The nondestructive evaluations were made utilizing the same specimens before the destructive testing was conducted to develop the empirical relationship. Later, the structural elements of selected existing buildings were tested, employing the nondestructive testing methods to evaluate the performance of concrete with the aid of the predicted model. Three different model categories, such as linear, exponential, and power models, were considered to select the best-suited correlation. Finally, a linear model was suggested for rebound number and power models for the ultrasonic pulse velocity results with higher regression coefficients.

Place, publisher, year, edition, pages
Springer , 2025. p. 79-98
National Category
Civil Engineering
Identifiers
URN: urn:nbn:se:hig:diva-47116DOI: 10.1007/978-3-031-85052-3_4Scopus ID: 2-s2.0-105022380939ISBN: 978-3-031-85051-6 (print)ISBN: 978-3-031-85052-3 (electronic)OAI: oai:DiVA.org:hig-47116DiVA, id: diva2:1966278
Available from: 2025-06-10 Created: 2025-06-10 Last updated: 2025-12-01Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • sv-SE
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  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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