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Detecting location of construction defects in drilled shafts using frequency tomography analysis of cross-hole sonic logging

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dc.contributor.author Abi Shdid, Caesar
dc.contributor.author Hajali, Masood
dc.date.accessioned 2017-06-06T08:21:47Z
dc.date.available 2017-06-06T08:21:47Z
dc.date.copyright 2014 en_US
dc.date.issued 2017-06-06
dc.identifier.uri http://hdl.handle.net/10725/5725
dc.description.abstract Cross-hole Sonic Logging (CSL) is the standard method used in evaluating the integrity of deep foundations for bridges, such as drilled shafts, and is based on travelling ultrasonic waves between probes in parallel tubes. Several studies have used arrival time and wave speed, such as in cross-hole tomography, to detect construction defects in drilled shaft foundations. A processing method for three-component wide-band CSL data is presented—named Frequency Tomography Analysis (FTA). It uses changes in color of the frequency amplitude of the received signal in the location of defects. The method transfers time-domain data to frequency-domain data of the signals propagated between the tubes using Fast Fourier Transform (FFT). The method is performed after a CSL test has determined the high probability of an anomaly in a given area. The procedure improves the location accuracy and further characterizes the features of the defect. The new technique is validated experimentally using two drilled shaft samples constructed with foam pieces inserted throughout the length of the shaft inside the rebar cage before concrete placement, to replicate construction defects. FTA is then utilized after the CSL tests to detect the location of the defects. The technique proves to have a very high resolution and can determine the exact location of any void or defect inside the rebar cage of a drilled shaft. This provides a significant improvement to current techniques used in quality control during construction of bridges. en_US
dc.language.iso en en_US
dc.publisher ASCE en_US
dc.title Detecting location of construction defects in drilled shafts using frequency tomography analysis of cross-hole sonic logging en_US
dc.type Conference Paper / Proceeding 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.identifier.doi http://dx.doi.org/10.1061/9780784413616.214#sthash.MvTo02Fy.dpuf en_US
dc.identifier.ctation Abishdid, C., & Hajali, M. (2014). Detecting location of construction defects in drilled shafts using frequency tomography analysis of cross-hole sonic logging. In Computing in Civil and Building Engineering (2014) (pp. 1723-1730). en_US
dc.author.email caesar.abishdid@lau.edu.lb en_US
dc.conference.date June 23-25, 2014 en_US
dc.conference.pages 1723-1730 en_US
dc.conference.place Orlando, Florida, United States en_US
dc.conference.title 2014 International Conference on Computing in Civil and Building Engineering 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/10.1061/9780784413616.214 en_US
dc.orcid.id https://orcid.org/0000-0002-7114-4795 en_US
dc.author.affiliation Lebanese American University en_US


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