Study To Improve The Predicted Response Of Floor Systems Due To Walking

dc.contributor.authorBoice, Michael DeLanceyen
dc.contributor.committeechairMurray, Thomas M.en
dc.contributor.committeememberSetareh, Mehdien
dc.contributor.committeememberEasterling, William Samuelen
dc.contributor.departmentCivil Engineeringen
dc.date.accessioned2014-03-14T20:31:43Zen
dc.date.adate2003-02-13en
dc.date.available2014-03-14T20:31:43Zen
dc.date.issued2003-02-07en
dc.date.rdate2004-02-13en
dc.date.sdate2003-02-12en
dc.description.abstractThe scope of this study is divided into three topics. To begin, more accurate methods for estimating the fundamental natural frequencies of floors were explored. Improvements for predicting the behavior of floor systems using several criteria were also investigated. The final topic compared the AISC and SCI methods for analyzing vibrations acceptability. Natural frequency prediction was studied by examining 103 case studies involving floor systems of various framing occupied or being constructed in the United States and Europe. Based on the results from these comparisons, it was reasonably concluded that the predicted bay frequency using Dunkerly's estimate (fn2) is not the most accurate method for predicting the system frequency using the AISC Design Guide for all types of framing analyzed. The predicted beam frequency using AISC methods provided sound correlations with the measured bay frequencies. On the other hand, with the exception of floor systems with joist girders and joists, the results showed that the SCI methods provided more accurate predictions of bay frequency despite a fair amount of data scatter. Evaluations based on the AISC Design Guide 11, the SCI criteria Murray Criterion, and Modified Reiher-Meister scale were compared with subjective field analyses for each case study in the second part of this study. The AISC Design Guide criterion is the most consistent method for predicting floor behavior. The SCI criterion is the next most consistent method for floor acceptability, followed by the Murray Criterion then the Modified Reiher-Meister scale. In the final part of this study, predicted accelerations and floor behavior tolerability for 78 case studies were evaluated using the AISC and the SCI criteria. The two prediction methods are in agreement for 82 % (64 of 78) of the case studies, and strongly disagree for only 12 % (9 of 78) of the case studies.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-02122003-154455en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-02122003-154455/en
dc.identifier.urihttp://hdl.handle.net/10919/31213en
dc.publisherVirginia Techen
dc.relation.haspartFinal_Thesis.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectnatural frequencyen
dc.subjectfloor vibrationsen
dc.subjectaccelerationsen
dc.subjectacceptabilityen
dc.titleStudy To Improve The Predicted Response Of Floor Systems Due To Walkingen
dc.typeThesisen
thesis.degree.disciplineCivil Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Final_Thesis.pdf
Size:
2.75 MB
Format:
Adobe Portable Document Format

Collections