In-Situ Strength Assessment of Concrete: Detailed Guidelines
| Autor: | Andrzej Moczko, Oguz Gunes, David Corbett, André Valente Monteiro, Zoubir Mehdi Sbartaï, Leonardo Chiauzzi, Vincent Garnier, Jean-Paul Balayssac, Vincenza Anna Maria Luprano, Maitham Alwash, Said Kenai, Arlindo Gonçalves, Xavier Romão, Emilia Vasanelli, Denys Breysse, Michael Grantham, S Biondi, Hicham Yousef Qasrawi, Angelo Masi |
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| Přispěvatelé: | Institut de Mécanique et d'Ingénierie (I2M), Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM) |
| Rok vydání: | 2021 |
| Předmět: |
Flowchart
Data collection Computer science business.industry 0211 other engineering and technologies System identification 02 engineering and technology 01 natural sciences Standard deviation [SPI.MAT]Engineering Sciences [physics]/Materials law.invention Reliability engineering 010104 statistics & probability Compressive strength law Destructive testing Nondestructive testing 021105 building & construction Calibration 0101 mathematics business |
| Zdroj: | Non-Destructive In Situ Strength Assessment of Concrete ISBN: 9783030648992 Non-Destructive In Situ Strength Assessment of Concrete Non-Destructive In Situ Strength Assessment of Concrete, 32, Springer International Publishing, pp.3-56, 2021, 978-3-030-64899-2 || 978-3-030-64900-5. ⟨10.1007/978-3-030-64900-5_1⟩ |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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