Doctoral Dissertations
Abstract
"The allowable stress design (ASD) method has long been used for the design of steel structures in the United States. Recently, the probability-based load and resistance factor design (LRFD) criteria have been successfully applied to the structural design of hot-rolled steel shapes and built-up members. The AISI LRFD Specification is being developed as well for the design of structural members cold-formed from carbon and low alloy steels. This design method is based on the "Limit States Design" philosophy, which is related to the ultimate strength and serviceability of the structural members and connections.
Cold-formed stainless steel sections have gained increasing use in architectural and structural applications in recent years due to their superior corrosion resistance, ease of maintenance, and attractive appearance. The current Specification for the design of cold-formed stainless steel structural members and connections was published by American Iron and Steel Institute (AISI) in 1974. This design Specification was based on the allowable stress design method.
In order to develop the new design criteria for cold-formed stainless steel structural members, a research project entitled "Load and Resistance Factor Design of Cold-Formed Stainless Steel" has been conducted at the University of Missouri-Rolla. This project contains two phases: (1) to prepare an updated allowable stress design specification and (2) to develop the new load and resistance factor design criteria for cold-formed stainless steel structural members and connections. The proposed new ASD Specification and Commentary for the design of cold-formed stainless steel structural members have been completed and published in the Third Progress Report of this project.
This dissertation mainly discusses the development of the LRFD criteria for cold-formed stainless steel structural members and connections. These design criteria were developed on the basis of the first order probabilistic theory, for which only the mean value and coefficient of variation of variables are required. These variables reflect the uncertainties in mechanical properties of materials, load effects, design assumption, and fabrication.
As the initial step of the investigation, statistical analyses of mechanical properties and thicknesses for various types of stainless steels have been evaluated. The modified Ramberg-Osgood equation has been used in this study for determining the secant modulus, tangent modulus, and plasticity reduction factor. Theoretical basis of the probability-based LRFD criteria and procedures used to calibrate the design provisions are discussed in detail. The resistance factors obtained from the calibrations have been recommended for use in the LRFD criteria. Because the LRFD method involves probabilistic considerations for uncertain variables in the design formulas, this method can provide a more uniform overall safety and reliability for structural design"--Abstract, pages ii-iii.
Advisor(s)
Yu, Wei-wen, 1924-
Committee Member(s)
Best, John, 1925-2015
Emanuel, Jack H., 1921-1996
Minor, Joseph E.
Keith, Harold D. (Harold Dean), 1941-
Department(s)
Civil, Architectural and Environmental Engineering
Degree Name
Ph. D. in Civil Engineering
Sponsor(s)
Chromium Centre (South Africa)
Nickel Development Institute (Canada)
Specialty Steel Industry of the United States
Publisher
University of Missouri--Rolla
Publication Date
Spring 1989
Pagination
xx, 244 pages
Note about bibliography
Includes bibliographical references (pages 185-190).
Rights
© 1989 Shin-Hua Lin, All rights reserved.
Document Type
Dissertation - Restricted Access
File Type
text
Language
English
Subject Headings
Load factor designStainless steelSteel -- Cold workingSteel, Structural -- Specifications
Thesis Number
T 5871
Print OCLC #
20821846
Electronic OCLC #
904807441
Recommended Citation
Lin, Shin-Hua, "Load and resistance factor design of cold-formed stainless steel structural members" (1989). Doctoral Dissertations. 708.
https://scholarsmine.mst.edu/doctoral_dissertations/708
Share My Dissertation If you are the author of this work and would like to grant permission to make it openly accessible to all, please click the button above.