Experimental validation of an empirical model for computing the diameter of drilled shafts during construction using CSL signal processing

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dc.contributor.author Abi Shdid, Caesar
dc.contributor.author Hajali, Masood
dc.date.accessioned 2016-10-17T10:41:23Z
dc.date.available 2016-10-17T10:41:23Z
dc.date.copyright 2016 en_US
dc.date.issued 2016-10-17
dc.identifier.issn 0887-3801 en_US
dc.identifier.uri http://hdl.handle.net/10725/4624
dc.description.abstract Drilled shaft foundations are increasingly being used to support various types of buildings and infrastructure facilities. The load carrying capacity of these drilled shafts is largely dependent on their diameter. The large loads carried by such structural elements make quality control and assurance of their diameters during construction extremely critical. Current methods adopted by the industry for measuring drilled shaft diameters during construction depend on discrete points of concrete volumetric measurements that lack both accuracy and continuity. An empirical model is developed and presented in this paper for computing the diameter of drilled shaft foundations that overcomes these limitations. The model is developed using signal processing performed on cross-hole sonic logging (CSL) experimental data obtained from three drilled shaft specimens. The model is validated using experimental data obtained from two separate specimens. The research reported in this paper demonstrates that there exists a high correlation between the maximum amplitude of CSL signal frequency and thickness of concrete. The results show that the model is capable of accurately computing the diameter of drilled shafts, with an absolute average error of 2.42%. en_US
dc.language.iso en en_US
dc.title Experimental validation of an empirical model for computing the diameter of drilled shafts during construction using CSL signal processing en_US
dc.type Article en_US
dc.description.version Published en_US
dc.author.school SOE en_US
dc.author.idnumber 199431340 en_US
dc.author.department Civil Engineering en_US
dc.description.embargo N/A en_US
dc.relation.journal Journal of Computing in Civil Engineering en_US
dc.journal.volume 30 en_US
dc.journal.issue 2 en_US
dc.article.pages 04015018-1- 04015018-10 en_US
dc.keywords Drilled shafts en_US
dc.keywords Nondestructive tests en_US
dc.keywords Concrete construction en_US
dc.keywords Signal processing en_US
dc.keywords Deep foundations en_US
dc.keywords Mathematical models en_US
dc.identifier.doi http://dx.doi.org/10.1061/(ASCE)CP.1943-5487.0000486 en_US
dc.identifier.ctation Shdid, C. A., & Hajali, M. (2015). Experimental Validation of an Empirical Model for Computing the Diameter of Drilled Shafts during Construction Using CSL Signal Processing. Journal of Computing in Civil Engineering, 30(2), 04015018. en_US
dc.author.email caesar.abishdid@lau.edu.lb en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url http://ascelibrary.org/doi/abs/10.1061/(ASCE)CP.1943-5487.0000486 en_US

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