TY - CHAP
T1 - In-Situ Strength Assessment of Concrete
T2 - Detailed Guidelines
AU - Breysse, Denys
AU - Balayssac, Jean Paul
AU - Alwash, Maitham
AU - Biondi, Samuele
AU - Chiauzzi, Leonardo
AU - Corbett, David
AU - Garnier, Vincent
AU - Gonçalves, Arlindo
AU - Grantham, Michael
AU - Gunes, Oguz
AU - Kenaï, Said
AU - Luprano, Vincenza Anna Maria
AU - Masi, Angelo
AU - Moczko, Andrzej
AU - Qasrawi, Hicham Yousef
AU - Romão, Xavier
AU - Sbartaï, Zoubir Mehdi
AU - Valente Monteiro, André
AU - Vasanelli, Emilia
N1 - Publisher Copyright:
© 2021, RILEM.
PY - 2021
Y1 - 2021
N2 - Guidelines describe the general process of in-situ compressive strength assessment. This process is divided into three main steps, data collection (using nondestructive testing and destructive testing), model identification and strength assessment. Three estimation quality levels (EQL) are defined depending on the targeted accuracy of strength assessment, based on three parameters, mean value of strength and standard deviation of strength on a test region and local value of strength. All the necessary definitions (test location, test reading, test region, test result, …) are given and the different stages of data collection, i.e. planning, NDT methods, cores (dimensions, conservation, location, testing, etc) are described. The identification of the conversion model is detailed and a specific attention is paid to the assessment of test result precision (TRP). For the identification of the model parameters, two options are considered either the development of a specific model or the calibration of a prior model. A specific option is also proposed, namely the bi-objective approach. Finally, the quantification of the errors of model fitting and strength prediction is described. The global methodology is synthetized in a flowchart.
AB - Guidelines describe the general process of in-situ compressive strength assessment. This process is divided into three main steps, data collection (using nondestructive testing and destructive testing), model identification and strength assessment. Three estimation quality levels (EQL) are defined depending on the targeted accuracy of strength assessment, based on three parameters, mean value of strength and standard deviation of strength on a test region and local value of strength. All the necessary definitions (test location, test reading, test region, test result, …) are given and the different stages of data collection, i.e. planning, NDT methods, cores (dimensions, conservation, location, testing, etc) are described. The identification of the conversion model is detailed and a specific attention is paid to the assessment of test result precision (TRP). For the identification of the model parameters, two options are considered either the development of a specific model or the calibration of a prior model. A specific option is also proposed, namely the bi-objective approach. Finally, the quantification of the errors of model fitting and strength prediction is described. The global methodology is synthetized in a flowchart.
UR - http://www.scopus.com/inward/record.url?scp=85105159204&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-64900-5_1
DO - 10.1007/978-3-030-64900-5_1
M3 - Chapter
AN - SCOPUS:85105159204
T3 - RILEM State-of-the-Art Reports
SP - 3
EP - 56
BT - RILEM State-of-the-Art Reports
PB - Springer Science and Business Media B.V.
ER -