Asymptotic Importance Sampling
One of the main issues in reliability analysis is the accurate and efficient calculation of the multivariate reliability integral. The Asymptotic Importance Sampling Technique (AIS) selects...
Sampling Techniques for Time-Variant Reliability Problems
Time-variant structural reliability problems arise when the structural resistance may change with time (such as in structural deterioration) or when the system is acted upon by two or...
A Unified Simulation Approach to Structural System Reliability Analysis
To determine accurate estimates for the system reliability of large complex structures requires considerable computation; unless the problem is assessed in an efficient manner the analysis...
Comparison of Some Importance Sampling Techniques in Structural Reliability
The approximate calculation of structural reliabilities by FORM/SORM is well known. Nevertheless, alternatives or at least methods with which the error by these methods can be quantified...
Use of Importance Sampling Constraints in System Optimization
An important application of system reliability analysis is to incorporate overall system risk as a constraint in a structural optimization. The paper describes the use of Monte Carlo Importance...
Variability Response Functions and Stochastic Field Discretization in Stochastic Finite Element Methods
Stochastic systems whose mechanical properties vary spatially are investigated in the present paper. The stochastic response variability of the systems is characterized by means of the...
Updating of Dynamic Structural Systems by Learning
Many techniques have been developed to identify structural system parameters; however, they are generally restricted to parameter identification within the framework of an equivalent structure...
Dynamic Response of Uncertain Two-Dimensional Structures
A concept for the reliability analysis of structures with uncertain elastic and mass properties is presented. Its applicability is shown by means of a numerical example. The results are...
On the Approximated Solution of Non-Linear Systems Under Non Gaussian Excitations
The study of non-linear mechanical and structural systems under random excitations has become very important in the last years. When random excitations are Gaussian, many approaches can...
Incorporating Corrosion in Reliability-Based Design of Anchored Bulkheads
Corrosion of steel is an important factor in the design of marine structures. A reliability analysis of anchored bulkheads showed that corrosion changes the critical failure mode from...
Reliability Model for Bridge Columns under Seismic Loads
This paper develops a model for the analysis of the reliability of bridge columns under earthquake loads. Probability of failure is defined as the probability that the displacement ductility...
Pre-Envelope Covariance Differential Equations
The problem of predicting the safety of structural systems subjected to random loading arises in may engineering applications. In this framework the envelope process plays an important...
Linear System Spectral Moments Determination
The stationary response of a linear system to random excitation is considered. A previously developed approach is extended to be applicable for the determination of both even and odd order...
Reliability Consideration in Shakedown Analysis
Shakedown analysis for ductile rigid frames has shown that a structure can respond linearly at a higher elastic limit after it has experienced some plastic deformation. If the residual...
Parameter Estimations of Structural Dynamic Systems
In this paper, time-domain methods for estimating the system parameters and the modal properties of linear structural dynamic systems are studied. The autoregressive and moving average...
Offshore Pile System Reliability
The existing design methodology for offshore pile foundations is evaluated relative to the ultimate performance of the foundation system using reliability techniques and data from three...
A Criticism of Statistical Methods in Probabilistic Models in Structural Reliability
The usual statistical models, classical and Bayesian, are not well suited for problems of structural reliability, since here we have rarely as assumed for these models a sequence of identical...
Sensitivity Evaluation of Simulation Methods for Reliability Assessment
Commonly used reliability assessment methods include the first-order methods, second-order methods, and Monte Carlo simulation methods with or without variance reduction techniques. The...
High Order Statistics in Structural Reliability
The new simulation technique described in this paper attempts to avoid the significant amount of arbitrariness involved in the choice of the sampling distribution in the increasingly popular...
Experiences with Experimental Design Schemes for Failure Surface Estimation and Reliability
When using FORM and SORM to predict the probability of failure for a structural component a model for the failure function has to exist. For certain structural components a mechanical...
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