2026-05-04T21:26:21Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/114802026-03-17T01:05:39Zcom_10259_6171com_10259_5086com_10259_2604col_10259_6172

Suitability assessment of non-destructive testing for mechanical property estimation of concrete with wind turbine wastes Revilla Cuesta, Víctor Hernando Revenga, Manuel Skaf Revenga, Marta Espinosa González, Ana Belén Concrete Wind-turbine blade waste Coarse recycled aggregate Non-destructive testing Mechanical properties Hormigón Materiales de construcción Concrete Building materials 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. 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. 2026-03-16T13:23:53Z 2026-03-16T13:23:53Z 2026-02 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 1644-9665 https://hdl.handle.net/10259/11480 10.1007/s43452-026-01442-4 2083-3318 eng Archives of Civil and Mechanical Engineering. 2026, V. 26, 76 https://doi.org/10.1007/s43452-026-01442-4 Atribución 4.0 Internacional http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess application/pdf Springer