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

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TLDR
In this article, the authors present a new method for engineering design that allows controlling safety factors and failure probabilities with respect to different modes of failure, and a double check for the safety of the engineering structure is done.
Abstract
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.

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Journal ArticleDOI

A General Method for Local Sensitivity Analysis With Application to Regression Models and Other Optimization Problems

TL;DR: A method for sensitivity analysis of general applicability based on the well-known duality property of mathematical programming, which states that the partial derivatives of the primal objective function with respect to the constraints on the right side parameters are the negative of the optimal values of the dual problem variables.
Journal ArticleDOI

An optimal engineering design method with failure rate constraints and sensitivity analysis. Application to composite breakwaters

TL;DR: A new approach to composite breakwater design based on minimizing initial/construction costs subject to yearly failure rate bounds for all failure modes is introduced, and a technique for sensitivity analysis is presented.
Journal ArticleDOI

Reliability-based optimization in engineering using decomposition techniques and FORMS

TL;DR: In this article, a review of some decomposition techniques previously given by the authors to solve bi-level problems is presented within a unified formulation, and a new variant is investigated, and the proposed methods use standard optimization frameworks to obtain the reliability indices and to solve the global problem within a decomposition scheme.
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Numerical modelling of the fluid–seabed-structure interactions considering the impact of principal stress axes rotations

TL;DR: In this article, a coupled fluid-dynamic framework and a generalized plasticity model were developed for the saturated porous medium to examine the cyclic loading of seabed and the continuous rotation of principal stress orientations.
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An alternative approach for addressing the failure probability-safety factor method with sensitivity analysis

TL;DR: A method for solving the failure probability-safety factor problem for designing engineering works proposed by Castillo et al. that optimizes an objective function subject to the standard geometric and code constraints, and two more sets of constraints that simultaneously guarantee given safety factors and failure probability bounds associated with a given set of failure modes is introduced.
References
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Book

An Introduction to Statistical Modeling of Extreme Values

Stuart Coles
TL;DR: This paper presents a meta-modelling framework that automates the very labor-intensive and therefore time-heavy and therefore expensive and expensive process of manually cataloging and modeling extreme value values in sequences.
Journal ArticleDOI

An Introduction to Statistical Modeling of Extreme Values

Eric P Smith
- 01 Nov 2002 - 
TL;DR: In this article, an Introduction to Statistical Modeling of Extreme Values is presented, along with a discussion of statistical models of extreme values and their application in statistical modeling of extreme value.
Journal ArticleDOI

Exact and Invariant Second-Moment Code Format

TL;DR: In this article, a fundamental analysis of the meaning of second-moment reliability in multivariate problems is presented, and the format described is entirely derived from one basic assumption concerning the measurement of reliability.
Journal ArticleDOI

Structural reliability under combined random load sequences

TL;DR: In this paper, an algorithm for the calculation of structural reliability under combined loading is formulated, in which loads or any other actions upon structures are modelled as independent random sequences and the relevant limit state criterion is pointwise approximated by a tangent hyperplane.