Reliability-based characterization of prefabricated FRP composites for rehabilitation of concrete structures
by Jin, Sung-Jun, M.S., UNIVERSITY OF CALIFORNIA, SAN DIEGO, 2008, 234 pages; 1454175

Abstract:

In order to further utilize fiber reinforced polymer (FRP) composites for strengthening of existing concrete structures, the load and resistance factor design (LRFD) approach is proposed as a design framework. The statistical nature of LRFD provides a good match for the application of prefabricated FRP composites in a reliability-based design approach. In this work, probabilistic models to describe tensile properties of prefabricated FRP materials are developed and durability test results are used with a degradation prediction model to determine the design value of FRP material properties used in strengthening of concrete over time. Stochastic variation in the FRP is characterized based on tensile testing of several sets of prefabricated FRP composites obtained from three suppliers. A general procedure to determine the design characteristic values of the FRPs is proposed using a two-parameter Weibull distribution. This procedure is then incorporated with predictive degradation equations derived based on the experimental durability data to predict the time-dependent tensile properties of the prefabricated FRP strips and to assess the reliability of the materials over time. The proposed predictive model is used on example girders for illustration of differences between the guidelines design property values and those determined based on considerations of time and reliability. A reliability analysis is performed to compare the results. The philosophy proposed in this work provides a sound approach of considering time-dependent material degradation and reliability to determine FRP material properties values for design so that the values used are reliable and accurate over time.

 
AdviserVistasp M. Karbhari
SchoolUNIVERSITY OF CALIFORNIA, SAN DIEGO
SourceMAI/ 47-01, p. , Sep 2008
Source TypeThesis
SubjectsCivil engineering
Publication Number1454175
Adobe PDF Access the complete dissertation:
 

» Find an electronic copy at your library.
  Use the link below to access a full citation record of this graduate work:
  http://gateway.proquest.com/openurl%3furl_ver=Z39.88-2004%26res_dat=xri:pqdiss%26rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation%26rft_dat=xri:pqdiss:1454175
  If your library subscribes to the ProQuest Dissertations & Theses (PQDT) database, you may be entitled to a free electronic version of this graduate work. If not, you will have the option to purchase one, and access a 24 page preview for free (if available).

About ProQuest Dissertations & Theses
With over 2.3 million records, the ProQuest Dissertations & Theses (PQDT) database is the most comprehensive collection of dissertations and theses in the world. It is the database of record for graduate research.

The database includes citations of graduate works ranging from the first U.S. dissertation, accepted in 1861, to those accepted as recently as last semester. Of the 2.3 million graduate works included in the database, ProQuest offers more than 1.9 million in full text formats. Of those, over 860,000 are available in PDF format. More than 60,000 dissertations and theses are added to the database each year.

If you have questions, please feel free to visit the ProQuest Web site - http://www.proquest.com - or call ProQuest Hotline Customer Support at 1-800-521-3042.