Extended and Generalized Fragility Functions

AbstractFragility functions indicate the probability of a system exceeding certain damage states given some appropriate measures that characterize recorded or simulated data series. Presented in tw...

[1]  Eric R. Ziegel,et al.  Generalized Linear Models , 2002, Technometrics.

[2]  George Deodatis,et al.  Predictive model for site specific simulation of ground motions based on earthquake scenarios , 2018 .

[3]  A. Kiremidjian,et al.  Statistical procedures for developing earthquake damage fragility curves , 2015 .

[4]  Mircea Grigoriu,et al.  Seismic fragility analysis: Application to simple linear and nonlinear systems , 2007 .

[5]  Yoshua Bengio,et al.  Input-output HMMs for sequence processing , 1996, IEEE Trans. Neural Networks.

[6]  Michele Barbato,et al.  Performance-Based Hurricane Engineering (PBHE) framework , 2013 .

[7]  Konstantinos Papakonstantinou,et al.  Probabilistic model for steel corrosion in reinforced concrete structures of large dimensions considering crack effects , 2013 .

[8]  Daniel Straub,et al.  Improved seismic fragility modeling from empirical data , 2008 .

[9]  M. Speekenbrink,et al.  depmixS4: An R Package for Hidden Markov Models , 2010 .

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

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

[12]  Lawrence R. Rabiner,et al.  A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.

[13]  Jack W. Baker,et al.  Probabilistic structural response assessment using vector‐valued intensity measures , 2007 .

[14]  Konstantinos Papakonstantinou,et al.  Optimum inspection and maintenance policies for corroded structures using partially observable Markov decision processes and stochastic, physically based models , 2014 .

[15]  M. Shinozuka,et al.  Planning structural inspection and maintenance policies via dynamic programming and Markov processes. Part II: POMDP implementation , 2014, Reliab. Eng. Syst. Saf..

[16]  Alan Agresti,et al.  Categorical Data Analysis , 2003 .

[17]  George Deodatis,et al.  A multi-modal analytical non-stationary spectral model for characterization and stochastic simulation of earthquake ground motions , 2016 .

[18]  Fatemeh Jalayer,et al.  A scalar damage measure for seismic reliability analysis of RC frames , 2007 .

[19]  M. Shinozuka,et al.  Planning structural inspection and maintenance policies via dynamic programming and Markov processes. Part I: Theory , 2014, Reliab. Eng. Syst. Saf..

[20]  Robert E. Bachman,et al.  Creating Fragility Functions for Performance-Based Earthquake Engineering , 2007 .

[21]  Konstantinos Papakonstantinou,et al.  POMDP and MOMDP solutions for structural life-cycle cost minimization under partial and mixed observability , 2018 .

[22]  Nicolas Luco,et al.  Does amplitude scaling of ground motion records result in biased nonlinear structural drift responses? , 2007 .