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dc.contributor.authorDiaferio, Mariella
dc.date.accessioned2023-04-06T12:59:07Z
dc.date.available2023-04-06T12:59:07Z
dc.date.copyright10/28/2022 12:00:00 AM
dc.date.issued2022
dc.identifier.issn25723901
dc.identifier.othernde_5_4_041009.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4288876
dc.description.abstractThe existence of a wide reinforced concrete (r.c.) building stock, which is reaching the end of its service life, has focused the attention on its vulnerability assessment. The first step of this analysis is the estimation of the concrete compressive strength. In this field, many codes allow to supplement the classical destructive tests with nondestructive ones, because of their versality and of the possibility of reducing the time spent for tests. It is worth noting that the spread of these tests is strictly connected to the accuracy of the conversion models, which correlate the nondestructive measurements to the concrete strength. The present paper deals with this issue by examining the results of the experimental investigations, which made use of destructive and ultrasonic pulse velocity tests, on three r.c. buildings in Bari (Italy). The data are analyzed and rearranged to define several testing conditions, for each one of which a conversion model is calibrated. Moreover, the variability of the parameters of the identified models is discussed with respect to the number of data considered in the calibration process, to the chosen model, and to the accuracy of the assessed strength.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleOn the Variability of Conversion Models for Concrete Strength Assessment Based on Pulse Velocity Measurements
dc.typeJournal Paper
dc.journal.volume5
dc.journal.issue4
dc.journal.titleJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
dc.identifier.doi10.1115/1.4055979
dc.journal.fristpage41009
dc.journal.lastpage4100911
dc.page11
dc.treeJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2022:;volume( 005 ):;issue: 004
dc.contenttypeFulltext


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