RT info:eu-repo/semantics/article
T1 Suitability assessment of non-destructive testing for mechanical property estimation of concrete with wind turbine wastes
A1 Revilla Cuesta, Víctor
A1 Hernando Revenga, Manuel
A1 Skaf Revenga, Marta
A1 Espinosa González, Ana Belén
K1 Concrete
K1 Wind-turbine blade waste
K1 Coarse recycled aggregate
K1 Non-destructive testing
K1 Mechanical properties
K1 Hormigón
K1 Concrete
K1 Materiales de construcción
K1 Building materials
AB 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.
PB Springer
SN 1644-9665
YR 2026
FD 2026-02
LK https://hdl.handle.net/10259/11480
UL https://hdl.handle.net/10259/11480
LA eng
NO This research work was supported by grant TED2021-129715B-I00 funded by MICIU/AEI/https://doi.org/10.13039/501100011033 and by European Union NextGenerationEU/PRTR; grant PID2023-146642OB-I00 funded by MICIU/AEI/https://doi.org/10.13039/501100011033 and by ERDF/EU; grants UIC-231 and BU033P23 funded by the Junta de Castilla y León (Regional Government) and ERDF/EU; and grant SUCONS, Y135.GI funded by the University of Burgos.
DS Repositorio Institucional de la Universidad de Burgos
RD 05-may-2026