Optimal Engineering Design Method that Combines Safety Factors and Failure Probabilities: Application to Rubble-Mound Breakwaters

This paper presents a new method for engineering design that allows controlling safety factors and failure probabilities with respect to different modes of failure. Since failure probabilities are very sensitive to tail assumptions, and safety factors can be insufficient, a double check for the safety of the engineering structure is done. The dual method uses an iterative process that consists of repeating a sequence of three steps: (1) an optimal (in the sense of optimizing an objective function) classical design, based on given safety factors, is done, (2) failure probabilities or bounds of all failure modes are calculated, and (3) safety factor bounds are adjusted. The three steps are repeated until convergence, i.e., until the safety factor lower bounds and the mode failure probability upper bounds are satisfied. In addition, a sensitivity analysis of the cost and reliability indices to the data parameters is done. The proposed method is illustrated by its application to the design of a rubble-mound breakwater.

[1]  A. M. Hasofer,et al.  Exact and Invariant Second-Moment Code Format , 1974 .

[2]  Alfonso Fernández-Canteli,et al.  Design and sensitivity analysis using the probability-safety-factor method. An application to retaining walls , 2004 .

[3]  Enrique F. Castillo,et al.  An alternative approach for addressing the failure probability-safety factor method with sensitivity analysis , 2003, Reliab. Eng. Syst. Saf..

[4]  E. Castillo,et al.  High-Probability One-Sided Confidence Intervals in Reliability Models , 1997 .

[5]  Enrique F. Castillo,et al.  Estimating extreme probabilities using tail simulated data , 1997, Int. J. Approx. Reason..

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

[7]  Bradford D. Allen Building and solving mathematical programming models inengineering and science by Enrique Castillo, Antonio J. Conejo,Pablo Pedregal, Ricardo Garcia, and Natalia Alguacil , 2002 .

[8]  P. Wirsching,et al.  Advanced Reliability Methods for Structural Evaluation , 1987 .

[9]  K. Breitung Asymptotic approximations for multinormal integrals , 1984 .

[10]  Niels C. Lind,et al.  Methods of structural safety , 2006 .

[11]  O. H. Burnside,et al.  Probabilistic methods for structural response analysis , 1988 .

[12]  Enrique F. Castillo,et al.  Tail Sensitivity Analysis in Bayesian Networks , 1996, UAI.

[13]  S. Coles,et al.  An Introduction to Statistical Modeling of Extreme Values , 2001 .

[14]  A.C.W.M. Vrouwenvelder Reliability Based Code calibration. The use of the JCSS Probabilistic Model Code , 2002 .

[15]  J. D. T. Oliveira,et al.  The Asymptotic Theory of Extreme Order Statistics , 1979 .

[16]  Enrique Castillo Extreme value theory in engineering , 1988 .

[17]  Alfred M. Freudenthal,et al.  SAFETY AND THE PROBABILITY OF STRUCTURAL FAILURE , 1956 .

[18]  Enrique Castillo,et al.  Building and Solving Mathematical Programming Models in Engineering and Science , 2001 .

[19]  Miguel A. Losada,et al.  Wave loads on rubble mound breakwater crown walls , 1999 .

[20]  F. E. Haskin,et al.  Efficient uncertainty analyses using fast probability integration , 1996 .

[21]  R. Rackwitz A Concept for Deriving Partial Safety Factors for Time-Variant Reliability , 1997 .

[22]  Ove Ditlevsen Structural reliability codes for probabilistic design - a debate paper based on elementary reliability and decision analysis concepts , 1997 .

[23]  R. Rackwitz,et al.  Structural reliability under combined random load sequences , 1978 .