Response Surface Method for Time-Variant Reliability Analysis

A method is presented to efficiently approximate the failure probability of structures subjected to time-variant loads, where the system of loads and structure may have uncertain parameters. The method uses response surface methodology in conjunction with the fast integration technique suggested by Wen and Chen, to provide a limit-state formulation that is computationally simple to solve based on a small number of response time histories. The system reliability may then be quickly computed by first-order reliability method (FORM)/ second-order reliability method (SORM) or Monte Carlo simulation. Sensitivity analysis is performed to determine the effect on the failure probability of changes to the system parameters, which can be important when determining whether uncertainty in a given system parameter is significant. An empirical measure of the accuracy of the response surface approximation is presented.

[1]  Angelika Brückner-Foit,et al.  On criteria for accepting a response surface model , 1992 .

[2]  Gerhart I. Schuëller,et al.  Time Variant Reliability Analysis Utilizing Response Surface Approach , 1989 .

[3]  Y. K. Wen,et al.  Reliability of Redundant Structures Under Time Varying Loads , 1990 .

[4]  Lucia Faravelli Structural Reliability via Response Surface , 1992 .

[5]  A. Nayfeh Introduction To Perturbation Techniques , 1981 .

[6]  Y. K. Wen,et al.  System Reliability under Time Varying Loads: II , 1989 .

[7]  J. S. Hunter,et al.  Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building. , 1979 .

[8]  I. Enevoldsen,et al.  Sensitivity weaknesses in application of some statistical distributions in First order reliability methods , 1993 .

[9]  Y. Wen Method for Random Vibration of Hysteretic Systems , 1976 .

[10]  Y. K. Wen,et al.  Time-Variant System Reliability Analysis Using Response Surface Methodology and Fast Integration , 1992 .

[11]  Thomas K. Caughey,et al.  Random Excitation of a System With Bilinear Hysteresis , 1960 .

[12]  B. F. Spencer,et al.  The First Passage Problem in Random Vibration for a Simple Hysteretic Oscillator , 1985 .

[13]  Reuven Y. Rubinstein,et al.  Simulation and the Monte Carlo method , 1981, Wiley series in probability and mathematical statistics.

[14]  Y. Wen Equivalent Linearization for Hysteretic Systems Under Random Excitation , 1980 .

[15]  M. Shinozuka,et al.  Peak structural response to non-stationary random excitations , 1971 .

[16]  Dimitris F. Eliopoulos,et al.  Method of seismic reliability evaluation for moment-resisting steel frames , 1991 .

[17]  D. P. Schwartz,et al.  Fault behavior and characteristic earthquakes: Examples from the Wasatch and San Andreas Fault Zones , 1984 .

[18]  C. Bucher,et al.  On Efficient Computational Schemes to Calculate Structural Failure Probabilities , 1989 .

[19]  Wilfred D. Iwan,et al.  A generalization of the concept of equivalent linearization , 1973 .

[20]  Y. K. Wen,et al.  Reliability of Uncertain Nonlinear Trusses Under Random Excitation. I , 1994 .

[21]  Douglas A. Foutch,et al.  Seismic Testing of Full‐Scale Steel Building—Part II , 1987 .

[22]  G. Box,et al.  On the Experimental Attainment of Optimum Conditions , 1951 .

[23]  Y. K. Wen,et al.  Approximate methods for nonlinear time-variant reliability analysis , 1987 .

[24]  W. D. Iwan,et al.  The Stochastic Response of Strongly Nonlinear Systems with Coulomb Damping Elements , 1988 .

[25]  T. Caughey Nonlinear Theory of Random Vibrations , 1971 .

[26]  Wilfred D. Iwan,et al.  On the existence and uniqueness of solutions generated by equivalent linearization , 1978 .

[27]  Y. K. Wen,et al.  On Fast Integration for Time Variant Structural Reliability , 1987 .