PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 12, 2026Archives of Civil and Mechanical Engineering0 citationsOpen Access

Suitability assessment of non-destructive testing for mechanical property estimation of concrete with wind turbine wastes

VRVíctor Revilla-CuestaMHManuel Hernando-RevengaMSMarta Skaf

Key Points

  • This research aims to assess the effectiveness of non-destructive testing methods for estimating the mechanical properties of concrete containing wind turbine waste.
  • Utilized coarse recycled aggregate and raw-crushed wind-turbine blade in concrete mixes.
  • Conducted non-destructive testing using ultrasonic pulse velocity and rebound index.
  • Performed response surface methodology and regression analysis to analyze experimental results.
  • Both NDT properties decreased with the addition of wastes, but rebound index showed more variability.
  • Only compressive strength, modulus of elasticity, and tensile splitting strength were reliably estimated using NDT properties.
  • Ultrasonic pulse velocity provided the most accurate estimations compared to the rebound index.

Abstract

Abstract The simultaneous use of Coarse Recycled Aggregate (CRA) and Raw-Crushed Wind-Turbine Blade (RCWTB) in concrete enables the recycling and revaluation of two wastes from wind-farm decommissioning. Verification of the validity of Non-Destructive Testing (NDT) for field control of the concrete mixes produced with these wastes is key to extending its possibilities of use, as is the application of NDT in concrete monitoring. This research evaluates the suitability of Ultrasonic Pulse Velocity (UPV) and rebound index to estimate the mechanical properties of concrete made with up to 100% CRA and 10% RCWTB. From an experimental approach, both NDT properties decreased when adding both wastes, although rebound index exhibited a higher experimental variability. These experimental results were subsequently analyzed through two statistical procedures. First, an analysis through response surface methodology was conducted, whose models revealed that the directions of maximum variation (gradients) for UPV, modulus of elasticity, compressive strength and tensile splitting strength were aligned, especially for high waste contents. Second, a regression analysis determined that only these three mechanical properties could be properly estimated using these NDT properties, since Poisson’s coefficient and flexural strength largely depended on the stitching of the cementitious matrix, influenced by the fibers from glass fiber-reinforced polymer contained in RCWTB. UPV was always the NDT property that yielded more accurate estimations, while rebound index only improved the estimation quality of compressive strength, although a reduction of its measured value is recommended to avoid strength overestimations. In general, non-linear multiple regression models provided accurate and reliable predictions.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Revilla-Cuesta et al. (2026) studied this question.

synapsesocial.com/papers/698d6edc5be6419ac0d54c69https://doi.org/10.1007/s43452-026-01442-4
Ask AI
Helpful
Bookmark
Share
View Full Paper