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  4. Deterioration Modeling of Steel Components in Support of Collapse Prediction of Steel Moment Frames under Earthquake Loading
 
research article

Deterioration Modeling of Steel Components in Support of Collapse Prediction of Steel Moment Frames under Earthquake Loading

Lignos, Dimitrios  
•
Krawinkler, Helmut
2011
JOURNAL OF STRUCTURAL ENGINEERING-ASCE

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 of 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 beams. On the basis of information deduced from the steel component database, empirical relationships for modeling of precapping plastic rotation, postcapping rotation, and cyclic deterioration for beams with reduced beam section (RBS) and other-than-RBS beams are proposed. Quantitative information is also provided for modeling of the effective yield strength, postyield strength ratio, residual strength, and ductile tearing of steel components subjected to cyclic loading. © 2011 American Society of Civil Engineers.

  • Details
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Type
research article
DOI
10.1061/(ASCE)ST.1943-541X.0000376
Author(s)
Lignos, Dimitrios  
•
Krawinkler, Helmut
Date Issued

2011

Publisher

American Society of Civil Engineers

Published in
JOURNAL OF STRUCTURAL ENGINEERING-ASCE
Volume

137

Issue

11

Start page

1291

End page

1302

Subjects

Component deterioration

•

Steel database

•

Steel moment connections

•

Sidesway collapse

•

Moment-rotation relationships

•

Residual strength

•

Deterioration models

•

Reduced beam section

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
RESSLAB  
Available on Infoscience
February 1, 2016
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/122932
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