Seismic Performance Evaluation of Novel Cold-Formed Steel Framed Shear Walls Sheathed with Corrugated Steel Sheets Page: 26
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FINITE ELEMENT MODELING
5.1 Introduction of OpenSees
The Open System for Earthquake Engineering Simulation (OpenSees) (Mckenna, 2015) is
a software framework for simulating the seismic response of structural and geotechnical systems.
It has advanced capabilities for modeling and analyzing the nonlinear response of systems using a
wide range of material models, elements, and solution algorithms.
OpenSees provides a wide range of materials and elements users, such as uniaxial material,
beam-column element and truss element, etc. In particularly, the Pinching4 uniaxial material,
which is used in truss element of the wall model to define the hysteretic characteristics of shear
walls and bearing walls under cyclic loading.
For the analysis features of OpenSees, it provides nonlinear static and dynamic methods,
equation solvers, and methods for handling constraints for nonlinear analysis. In my research, the
nonlinear static (pushover) analysis and nonlinear dynamic analysis (incremental dynamic
analysis-IDA) were used for the structural analysis.
5.2 Introduction of FEMA P695
The Quantification of Building Seismic Performance Factors, known as FEMA P695,
provides a methodology for reliably quantifying building system performance and response
parameters for use in seismic design. These factors include the response modification coefficient
(R factor) , the system overstrength factor (fLo), and the deflection amplification factor (Cd),
collectively referred to as "seismic performance factors".
Today's building code includes more than 80 individual structural systems, each with
individual system response coefficients somewhat arbitrarily assigned. Many of these recently
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Lan, Xing. Seismic Performance Evaluation of Novel Cold-Formed Steel Framed Shear Walls Sheathed with Corrugated Steel Sheets, thesis, August 2017; Denton, Texas. (https://digital.library.unt.edu/ark:/67531/metadc1011859/m1/34/: accessed May 21, 2019), University of North Texas Libraries, Digital Library, https://digital.library.unt.edu; .