2011
DOI: 10.1061/(asce)st.1943-541x.0000376
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Deterioration Modeling of Steel Components in Support of Collapse Prediction of Steel Moment Frames under Earthquake Loading

Abstract: Reliable collapse assessment of structural systems under earthquake loading requires analytical models that are able to capture component deterioration in strength and stiffness. For calibration and validation of these models a large set of experimental data is needed. This paper discusses the development of a database on experimental data of steel components and the use of this database for quantification of important parameters that affect the cyclic moment-rotation relationship at plastic hinge regions in b… Show more

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Cited by 780 publications
(499 citation statements)
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“…T from the OpenSees [35] models is 0.94 s for CP3D and HP20D SC-MRFs and 1.18 s for CP3D and HP20D MRFs.…”
Section: Nonlinear Modelsmentioning
confidence: 94%
See 3 more Smart Citations
“…T from the OpenSees [35] models is 0.94 s for CP3D and HP20D SC-MRFs and 1.18 s for CP3D and HP20D MRFs.…”
Section: Nonlinear Modelsmentioning
confidence: 94%
“…Beam local buckling is expected after the end of the reinforcing plates, and so, the unreinforced lengths of the beams are modeled as elastic elements with zero length nonlinear fiber hinges at their ends that exhibit strength and stiffness deterioration [35]. The fiber hinge sections are composed of the Bilin material [33] that simulates the modified Ibarra-Krawinkler [35] deterioration model.…”
Section: Nonlinear Modelsmentioning
confidence: 99%
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“…To all springs of a frame the same deterioration parameters Λ K and Λ S are assigned. Lignos, Krawinkler [19,18] compiled a database of experimental cyclic studies on steel components, which allowed to identify the significant parameters affecting the cyclic moment-rotation relationship at plastic hinge regions in beams. Based on this study, in the present publication three different levels of deterioration, representing slow, medium, and rapid deterioration, have been defined.…”
Section: Introductionmentioning
confidence: 99%