This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/22635
Description
Title
Reliability models of load testing
Author(s)
Tsai, Maolin
Issue Date
1992
Doctoral Committee Chair(s)
Hall, W. Brent
Department of Study
Aerospace Engineering
Discipline
Aerospace Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Aerospace
Engineering, Civil
Engineering, Mechanical
Language
eng
Abstract
Three main topics related to structural reliability and load testing are investigated in this dissertation. These consist of evaluation methods for reliability analysis given test information, advanced strength modeling based on material tests, and practical implementation of reliability models of load testing.
A development and review of conditional reliability theory with inequality or equality conditions is the main concern of the first topic. A pseudo-augmented system reliability concept can be utilized to find conditional reliability. A second-order mean curvature approximation is suggested as an alternative method. Advanced strength prediction techniques for brittle materials and composite materials, developed for the purposes of safety analysis and design, are the main concerns of the second topic. The intention is to reduce the testing content of design for these two types of materials to the specimen and constituent levels. This reflects an objective of efficiency and economy for design by testing. The third and last topic is comprised of the assessment of strength test evaluation procedures and the development of unbiased test-based design procedures. A robust and nearly unbiased decision rule for test-based design is discussed which provides a useful practical implementation for reliability models of load testing in cold-formed steel design.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.