Comparative evaluation of probabilistic uncertainty-propagations to seismic collapse capacity of low-rise steel moment-resisting frames

The collapse capacity of a structure employing hysteretic energy dissipating devices (HEDDs) is considerably influenced by the uncertainties which are categorized to the aleatory and epistemic uncertainties. This study aims to comparatively evaluate uncertainty-propagations to the seismic collapse performance of the low-rise steel moment-resisting frames (SMRFs) with and without HEDDs, and to investigate on the effects of HEDDs to the failure modes of damped structures when the uncertainties are collectively propagated to the seismic response. In order to achieve this, incremental dynamic analyses are carried out to assess the collapse capacities of typical low-rise SMRFs with and without HEDDs. The Monte-Carlo simulation adopting a Latin hypercube sampling method is then performed to reflect the probabilistic uncertainty-propagation to the collapse capacities of structures. The analysis results show that the collapse capacities of low-rise SMRFs are considerably changed due to the uncertainty-propagation and HEDDs decrease the uncertainty-propagation to the collapse capacities of low-rise SMRFs because they induces a constant collapse mode with relatively low variation.

[1]  William T. Holmes,et al.  The 1997 NEHRP Recommended Provisions for Seismic Regulations for New Buildings and Other Structures , 2000 .

[2]  C. Allin Cornell,et al.  Probabilistic seismic demand analysis of nonlinear structures , 1999 .

[3]  Keh‐Chyuan Tsai,et al.  Design of Steel Triangular Plate Energy Absorbers for Seismic-Resistant Construction , 1993 .

[4]  Yue-Jun Yin,et al.  Seismic collapse risk of light-frame wood construction considering aleatoric and epistemic uncertainties , 2010 .

[5]  Sher Ali Mirza,et al.  Monte Carlo Study of Strength of Concrete Columns , 1978 .

[6]  Tae-Hyung Lee,et al.  Seismic demand sensitivity of reinforced concrete shear‐wall building using FOSM method , 2005 .

[7]  Jack W. Baker,et al.  Incorporating modeling uncertainties in the assessment of seismic collapse risk of buildings , 2009 .

[8]  Ronald O. Hamburger,et al.  Prequalified Connections for Special and Intermediate Steel Moment Frames for Seismic Applications, ANSI/AISC 358-05 , 2006 .

[9]  Matjaz Dolsek,et al.  Incremental dynamic analysis with consideration of modeling uncertainties , 2009 .

[10]  Fatemeh Jalayer,et al.  Effects of two alternative representations of ground‐motion uncertainty on probabilistic seismic demand assessment of structures , 2008 .

[11]  Bruce Ellingwood,et al.  Development of a probability based load criterion for American National Standard A58 , 1980 .

[12]  Dimitrios Vamvatsikos,et al.  Fast performance uncertainty estimation via pushover and approximate IDA , 2009 .

[13]  Laura N. Lowes,et al.  Probabilistic evaluation of seismic performance of 3-story 3D one- and two-way steel moment-frame structures , 2008 .

[14]  James L. Beck,et al.  Sensitivity of Building Loss Estimates to Major Uncertain Variables , 2002 .

[15]  M. D. McKay,et al.  A comparison of three methods for selecting values of input variables in the analysis of output from a computer code , 2000 .

[16]  Dimitrios Vamvatsikos,et al.  Incremental dynamic analysis for estimating seismic performance sensitivity and uncertainty , 2010 .

[17]  Robert E. Melchers,et al.  Structural Reliability: Analysis and Prediction , 1987 .

[18]  Marios K. Chryssanthopoulos,et al.  Fragility and Hazard Analysis of a Welded Steel Moment Resisting Frame , 2008 .

[19]  N. Null Minimum Design Loads for Buildings and Other Structures , 2003 .

[20]  Fatemeh Jalayer,et al.  Structural modeling uncertainties and their influence on seismic assessment of existing RC structures , 2010 .

[21]  Dimitrios Vamvatsikos,et al.  Incremental dynamic analysis , 2002 .

[22]  T. T. Soong,et al.  Passive Energy Dissipation Systems for Structural Design and Retrofit , 1998 .