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2021 | OriginalPaper | Chapter

4. Identification of Test Regions and Choice of Conversion Models

Authors : Jean-Paul Balayssac, Emilia Vasanelli, Vincenza Anna Maria Luprano, Said Kenai, Xavier Romão, Leonardo Chiauzzi, Angelo Masi, Zoubir Mehdi Sbartaï

Published in: Non-Destructive In Situ Strength Assessment of Concrete

Publisher: Springer International Publishing

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Abstract

The main objective of test region (TR) identification is to define an efficient conversion model. The first part of the chapter aims a difficult question, the identification of test regions (TR) because each structure is specific and so it is impossible to give a unique methodology. Here, three different possibilities are proposed. The first one is based on synthetic data obtained on a continuous structure for which TR are identified by means of k-means clustering method. The second approach concerns a real building for which TR are determined by means of two different statistical methods based on the analysis of confidence interval and ANOVA. On three real case studies, the second part of the chapter compares the performances of two scenarios, either the consideration of several TRs and so a conversion model on each one, or the consideration of a unique TR with only one model. The efficiency of each scenario is quantified by the error on the estimation of both mean strength and local strength.

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Footnotes
1
EN 13791:2007 [1].
 
2
Breysse [2].
 
3
Wu [3].
 
4
Javadi et al. [4].
 
5
Breysse [2].
 
6
Masi et al. [5].
 
7
EN 1998–3:2005 [6].
 
8
Breysse [2].
 
9
Breysse [2].
 
10
Pereira and Romão [7].
 
11
Gulhar et al. [8].
 
12
O’Neill [9].
 
13
Breysse [2].
 
14
Luprano et al. [10] and Pfister [11].
 
15
Ali-Benyahia [12].
 
16
EN 13791:2007 [13].
 
17
Vasanelli et al. [14].
 
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Metadata
Title
Identification of Test Regions and Choice of Conversion Models
Authors
Jean-Paul Balayssac
Emilia Vasanelli
Vincenza Anna Maria Luprano
Said Kenai
Xavier Romão
Leonardo Chiauzzi
Angelo Masi
Zoubir Mehdi Sbartaï
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-64900-5_4