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An Auto-Calibrating Semi-Adiabatic Calorimetric Methodology for Strength Prediction and Quality Control of Ordinary and Ultra-High-Performance Concretes.
Viviani, Marco; Lanzoni, Luca; Savino, Vincenzo; Tarantino, Angelo Marcello.
Afiliação
  • Viviani M; HES-SO/HEIG-VD-Haute École d'Ingénierie et de Gestion du Canton de Vaud, Rte de Cheseaux 1, CH-1401 Yverdon-les-Bains, Switzerland.
  • Lanzoni L; DIEF-Dipartimento di Ingegneria "Enzo Ferrari", Università di Modena e Reggio Emilia, Via Vignolese 905, 41125 Modena, Italy.
  • Savino V; CRICT-Centro Interdipartimentale di Ricerca e per i Servizi nel Settore delle Costruzioni, Via P. Vivarelli 10, 41125 Modena, Italy.
  • Tarantino AM; HES-SO/HEIG-VD-Haute École d'Ingénierie et de Gestion du Canton de Vaud, Rte de Cheseaux 1, CH-1401 Yverdon-les-Bains, Switzerland.
Materials (Basel) ; 15(1)2021 Dec 23.
Article em En | MEDLINE | ID: mdl-35009237
A timely knowledge of concrete and ultra-high-performance concrete (UHPC) strength is possible through the so-called strength-equivalent time (Et) curves. A timely knowledge of concrete strength is useful, for instance, to precisely determine when the shores of a hardening structural element can be safely removed. At the present time, the preparation of the strength-Et curves requires time-consuming and labor-intensive testing prior to the beginning of construction operations. This paper proposes an innovative method to derive the strength-Et and total heat-Et curves for both normal strength and UHPC. Results confirmed that the proposed method is fast, inexpensive, self-calibrating, accurate and can detect any variation of the concrete mix proportions or components quality. In addition, the quality of predictions of strength-maturity curves can be constantly improved as the specimens' population increases. Finally, results obtained with the proposed method were compared with those obtained using standard methods, showing a good agreement.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Materials (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Materials (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Suíça