Performance-Based Seismic Design of Steel Buildings Using Rigidities of Connections
Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 4, Issue 1
Abstract
This paper develops a performance-based seismic design (PBSD) procedure specifically for steel structures. Several improved steel connections were proposed to eliminate brittle fractures in welds following the Northridge earthquake of 1994. Making connections more flexible was considered to be an attractive option. One type of flexible connection considered in this study is expected to be economical and improve the behavior of steel structures, making them more seismic load–tolerant. However, the partial rigidities of connections need to be considered appropriately. To consider major sources of nonlinearity and rigidities of connections, structures are represented by finite elements. Steel structures are excited by seismic loading applied in the time domain, as required for the most sophisticated analysis. The algorithm incorporates major sources of uncertainty. To implement the PBSD concept, a novel reliability evaluation technique is proposed by integrating the first-order reliability method, the response surface method, and the advanced factorial design concept, producing compounding beneficial effects. The accuracy and efficiency of the procedure are verified with three informative examples. The study confirms the benefits of multiple deterministic analyses, as suggested in recent design guidelines. The behavior of the post-Northridge design is demonstrated to be superior to that of the pre-Northridge design, as expected. The PBSD procedure is appropriately documented for practicing engineers working on structural steel design and construction for everyday use.
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Acknowledgments
The authors thank to several agencies of the government of Mexico that supported this research: CONACYT, Universidad Autónoma de Sinaloa (UAS), and Dirección General de Relaciones Internacionales de la Secretaria de Educación Pública (DGRI-SEP). The work is also partially supported by the National Science Foundation under Grant No. CMMI-1403844. Any opinions, findings, conclusions, or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the sponsors.
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Published In
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 4 • Issue 1 • March 2018
Copyright
©2017 American Society of Civil Engineers.
History
Received: May 12, 2017
Accepted: Jul 24, 2017
Published online: Nov 27, 2017
Published in print: Mar 1, 2018
Discussion open until: Apr 27, 2018
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