A scalar damage measure for seismic reliability analysis of RC frames

A scalar damage measure (DM) for probabilistic performance assessment of structures can be expressed as the critical demand-to-capacity ratio corresponding to the component or mechanism that leads the structure closest to failure at the onset of which, the DM assumes the value of one. This DM can be employed to make probabilistic performance assessments taking into account the uncertainty in the ground motion, in the structural modelling parameters, and also in the model(s) used for determining components capacity. Nonlinear dynamic analysis methods can be used to estimate this DM in two ways: (a) applying a (small-size) set of un-scaled ground motion records to the structure and (b) using incremental dynamic analysis. Case (a) is suitable for making performance assessments based on demand and capacity factor design format and case (b) is suitable for estimating directly the probability of failure using numerical integration. Performance assessments using this DM are described in a case study of a RC frame in which the critical demand-to-capacity ratio is determined by taking into account various modes of failure for the limit state of collapse, such as weak storey mechanisms, shear failure in the columns, and ultimate deformations in the columns. Copyright © 2007 John Wiley & Sons, Ltd.

[1]  Pacific Earthquake A Technical Framework for Probability-Based Demand and Capacity Factor Design (DCFD) Seismic Formats , 2003 .

[2]  Stavroula J. Pantazopoulou,et al.  Mechanics of Concrete Participation in Cyclic Shear Resistance of RC , 1998 .

[3]  Fatemeh Jalayer,et al.  The probabilistic basis for the 2000 SAC/FEMA steel moment frame guidelines , 2002 .

[4]  Paolo Franchin,et al.  Seismic Fragility Analysis of Structural Systems , 2006 .

[5]  Fatemeh Jalayer,et al.  Alternative non‐linear demand estimation methods for probability‐based seismic assessments , 2009 .

[6]  R. Mcguire Seismic Hazard and Risk Analysis , 2004 .

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

[8]  George E. P. Box,et al.  Bayesian Inference in Statistical Analysis: Box/Bayesian , 1992 .

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

[10]  Henrik O. Madsen,et al.  Structural Reliability Methods , 1996 .

[11]  Paolo Franchin,et al.  Seismic Reliability Analysis Using Response Surface: A Simplified Approach , 2004 .

[12]  Nicolas Luco,et al.  Structure-Specific Scalar Intensity Measures for Near-Source and Ordinary Earthquake Ground Motions , 2007 .

[13]  M. Fardis,et al.  Deformations of Reinforced Concrete Members at Yielding and Ultimate , 2001 .

[14]  J O Jirsa,et al.  BEHAVIOUR OF CONCRETE UNDER COMPRESSIVE LOADING , 1969 .

[15]  James O. Jirsa,et al.  Behavior of concrete under compressive loadings , 1969 .

[16]  P. Franchin,et al.  Seismic Reliability Analysis of Structures , 2004 .

[17]  Filip C. Filippou,et al.  Evaluation of Nonlinear Frame Finite-Element Models , 1997 .

[18]  James L. Beck,et al.  SUBSET SIMULATION AND ITS APPLICATION TO SEISMIC RISK BASED ON DYNAMIC ANALYSIS , 2003 .

[19]  C. Allin Cornell,et al.  Probabilistic Basis for 2000 SAC Federal Emergency Management Agency Steel Moment Frame Guidelines , 2002 .

[20]  G. C. Tiao,et al.  Bayesian inference in statistical analysis , 1973 .