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<field name="value">Revilla Cuesta, Víctor</field>
<field name="authority">722</field>
<field name="confidence">600</field>
<field name="orcid_id">0000-0003-3337-6250</field>
<field name="value">Shi, Jin-yan</field>
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<field name="confidence">600</field>
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<field name="value">Skaf Revenga, Marta</field>
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<field name="confidence">600</field>
<field name="orcid_id">0000-0001-7205-2692</field>
<field name="value">Ortega López, Vanesa</field>
<field name="authority">403</field>
<field name="confidence">600</field>
<field name="orcid_id">0000-0003-0212-355X</field>
<field name="value">Manso Villalaín, Juan Manuel</field>
<field name="authority">331</field>
<field name="confidence">600</field>
<field name="orcid_id">0000-0003-4964-5128</field>
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<field name="value">2023-11-13T08:05:40Z</field>
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<field name="value">2023-11-13T08:05:40Z</field>
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<element name="issued">
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<field name="value">2022-12</field>
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<field name="value">2666-1659</field>
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<field name="value">10.1016/j.dibe.2022.100097</field>
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<element name="abstract">
<element name="en">
<field name="value">Non-destructive tests that cause no damage to concrete components can be used in rehabilitation works to&#xd;
determine concrete mechanical properties, such as the modulus of elasticity. In this paper, models are presented&#xd;
to predict the modulus of elasticity of Self-Compacting Concrete (SCC) with Recycled Aggregate (RA) and slag&#xd;
cement through the hammer rebound index and ultrasonic pulse velocity. Simple- and multiple-regression&#xd;
models were developed to estimate the modulus of elasticity according to the monotonic relation between&#xd;
variables shown by Spearman correlations. In these models, the modulus of elasticity was always inversely&#xd;
proportional to the square root of the non-destructive property under consideration, and the hardened density&#xd;
raised to the power of 2.5 as correction factor always increased estimation accuracy and robustness. The&#xd;
multiple-regression model with density correction yielded the most precise estimations of the elastic modulus&#xd;
with deviations below ±10% and ±20% in 82% and 94% of cases, respectively.</field>
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<field name="value">This research work was supported by the Spanish Ministry of Universities, MICINN, AEI, EU, ERDF and NextGenerationEU/PRTR [grant numbers PID2020-113837RB-I00; 10.13039/501100011033; TED2021-129715B–I00; FPU17/03374]; the Junta de Castilla y León (Regional Government) and ERDF [grant number UIC-231]; and, finally, the University of Burgos [grant number SUCONS, Y135.GI].</field>
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<element name="language">
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<element name="es">
<field name="value">eng</field>
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<field name="value">Elsevier</field>
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<field name="value">Developments in the Built Environment. 2022, V. 12, 100097</field>
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<field name="value">https://doi.org/10.1016/j.dibe.2022.100097</field>
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<field name="value">Self-compacting concrete</field>
<field name="value">Recycled aggregate</field>
<field name="value">Ground granulated blast-furnace slag</field>
<field name="value">Aggregate powder</field>
<field name="value">Modulus of elasticity</field>
<field name="value">Non-destructive testing</field>
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<field name="value">Ingeniería civil</field>
<field name="value">Materiales de construcción</field>
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<field name="value">Civil engineering</field>
<field name="value">Building materials</field>
</element>
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<element name="title">
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<field name="value">Non-destructive density-corrected estimation of the elastic modulus of slag-cement self-compacting concrete containing recycled aggregate</field>
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<field name="value">Developments in the Built Environment</field>
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<field name="value">12</field>
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