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

Dimitrios G. Lignos, Helmut Krawinkler

Journal of Structural Engineering · 2010 · 997 citations · 32 references

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TL;DR

Reliable collapse assessment of structural systems under earthquake loading requires analytical models that capture component deterioration in strength and stiffness, and a large experimental data set is needed for calibration and validation. This paper develops a database of experimental steel component data to quantify parameters affecting the cyclic moment‑rotation relationship at plastic hinge regions in beams. The database is employed to quantify key parameters influencing the cyclic moment‑rotation behavior at plastic hinges in beams. Empirical relationships for precapping and postcapping plastic rotation, cyclic deterioration, effective yield strength, postyield strength ratio, residual strength, and ductile tearing of steel components under cyclic loading are proposed based on the database.

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 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.

References

32