Abstract
Strength assessment of existing buildings is a challenge for structural engineers who need to feed structural computations with material data. Such assessment is required in various contexts like the prediction of their seismic capacity, change of use or evaluation after a seismic damage. Destructive testing (DT) (coring) in conjunction with non-destructive testing (NDT) offer an alternative of concrete strength assessment in existing constructions. The accurate quality of this strength assessment is a fundamental point. The Rebound Hammer (RH) and Ultrasonic Pulse Velocity (UPV) techniques which appear to be complementary are often used in combination with the objective of improving the strength of the estimations. The present study is based on on-site data of several case-studies selected from literature. The thorough statistical analysis of the data and the performance of the models allowed showing the effect of the number of cores used for the model identification on the assessment quality. In several situations, the conclusions aimed to quantify the number of cores needed to offer a better effectiveness of the assessment process.
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Neggaz, F., Ali-Benyahia, K., Ghrici, M. (2019). Statistical Analysis of Non-destructive Evaluation of Concrete Strength in Several Case Studies of Literature: Effect of the Number of Cores on the Assessment Predictive Capacity. In: Kallel, A., et al. Recent Advances in Geo-Environmental Engineering, Geomechanics and Geotechnics, and Geohazards. CAJG 2018. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-01665-4_44
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DOI: https://doi.org/10.1007/978-3-030-01665-4_44
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