Journal ArticleDOI
Deterioration Modeling of Steel Components in Support of Collapse Prediction of Steel Moment Frames under Earthquake Loading
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In this article, the authors developed 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.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.read more
Citations
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Journal ArticleDOI
An efficient method for estimating the collapse risk of structures in seismic regions
TL;DR: In this article, the authors examined various aspects involved in the computation of the mean annual frequency of collapse (λc) and proposed an efficient method for estimating the sidesway collapse risk of structures in seismic regions.
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Machine learning applications for building structural design and performance assessment: State-of-the-art review
TL;DR: The historical development and recent advances in the application of machine learning to the area of building structural design and performance assessment are reviewed and the challenges of bringing machine learning into structural engineering practice are identified.
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Intensity measure selection for vulnerability studies of building classes
TL;DR: In this article, the authors investigate the ability of several scalar intensity measures to downgrade the effect of seismological parameters (sufficiency) and reduce the record-to-record variability (efficiency) for both high-rise and low-rise sets of index buildings.
Journal ArticleDOI
Collapse Fragility of Steel Structures Subjected to Earthquake Mainshock-Aftershock Sequences
TL;DR: In this article, the collapse probability of mainshock-damaged steel buildings in aftershocks was investigated as an essential part of developing a framework to integrate aftershock seismic hazard into performance-based engineering (PBE).
Journal ArticleDOI
Effect of gravity framing on the overstrength and collapse capacity of steel frame buildings with perimeter special moment frames
Ahmed Elkady,Dimitrios G. Lignos +1 more
TL;DR: In this article, the effect of the gravity framing system on the overstrength and collapse risk of steel frame buildings with perimeter special moment frames (SMFs) designed in North America is investigated.
References
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Book
Applied Regression Analysis
Norman R. Draper,Harry Smith +1 more
TL;DR: In this article, the Straight Line Case is used to fit a straight line by least squares, and the Durbin-Watson Test is used for checking the straight line fit.
Book
Regression Analysis by Example
Samprit Chatterjee,B. Price +1 more
TL;DR: Simple linear regression Multiple linear regression Regression Diagnostics: Detection of Model Violations Qualitative Variables as Predictors Transformation of Variables Weighted Least Squares The Problem of Correlated Errors Analysis of Collinear Data Biased Estimation of Regression Coefficients Variable Selection Procedures Logistic Regression Appendix References as discussed by the authors
Journal ArticleDOI
Incremental dynamic analysis
TL;DR: Incremental dynamic analysis (IDA) is a parametric analysis method that has recently emerged in several different forms to estimate more thoroughly structural performance under seismic loads as mentioned in this paper, which involves subjecting a structural model to one or more ground motion record(s), each scaled to multiple levels of intensity, thus producing one (or more) curve(s) of response parameterized versus intensity level.
The Federal Emergency Management Agency (FEMA)
TL;DR: The Federal Emergency Management Agency (FEMA) assists states and localities overwhelmed by, or at risk from, disasters as discussed by the authors, and co-ordinates emergency management activities and planning for the continuity of government should national security be threatened.
Journal ArticleDOI
Hysteretic models that incorporate strength and stiffness deterioration
TL;DR: In this paper, three basic hysteretic models used in seismic demand evaluation are modified to include deterioration properties: bilinear, peak-oriented, and pinching, and the models incorporate an energy-based deterioration parameter that controls four cyclic deterioration modes: basic strength, postcapping strength, unloading stiffness, and accelerated reloading stiffness deterioration.