Doctoral Dissertations

Shin-Hua Lin

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 design
Stainless steel
Steel -- Cold working
Steel, Structural -- Specifications

Thesis Number

T 5871

Print OCLC #

20821846

Electronic OCLC #

904807441

Link to Catalog Record

Electronic access to the full-text of this document is restricted to Missouri S&T users. Otherwise, request this publication directly from Missouri S&T Library or contact your local library.

http://merlin.lib.umsystem.edu/record=b2207602~S5

Download
Off-campus S&T users

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.

Share

 
COinS