Integrated Assessment of Environmental Risk and Human Response
Meaningful risk assessment for environmental problems requires an integrated consideration of physical science and human behavioral issues. This is particularly true when dissaggregate...
Quantitative Risk Assessment and Technology Transfer: Software Developments
A risk-based adaptation of the hydroeconomic model for estimating the expected annual damages of floods is presented in a spreadsheet environment. The model demonstrates how commercially...
Optimal Flood Warning Threshold: A Case Study in Connellsville, Pennsylvania
A methodology for selecting an optimal flood-warning threshold has been developed by Haimes et al. (1990). The probabilistic evaluation of a forecast system coupled with a stochastic dynamic...
Optimal Discretization of Random Fields for SFEM
A new method for discretization of random fields (representation in terms of random variables) is introduced based on the principle of optimal linear estimation theory. The method is more...
Application of the Sampling Theorem to the Representation of Random Fields
A new parametric model is developed for homogeneous Gaussian random fields based on a generalization of the sampling theorem. The model depends linearly on a finite set of discrete values...
Pseudo-Simulation Method for Stochastic Problems
A new numerical method for problems of stochastic mechanics and other areas involving a small number of random parameters is presented. It is analogous to the Monte-Carlo simulation method...
Reliability Analysis of Uncertain Systems Under Random Loadings
This study considers the reliability assessment of uncertain systems under random loadings. The fast integration method (Wen and Chen, 1987) in conjunction with a second order asymptotic...
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...
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...
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...
Nonlinear System under Non-Gaussian Impulsive Noise Excitation
A perturbation scheme is devised to obtain an approximate stationary probability density for the response of a nonlinear oscillator subjected to an impulsive noise excitation....
Random Vibration of the Viscoelastic Structure under Series of Stochastic Excitations
In the paper the vibration of viscoelastic single-degree-of-freedom system caused by a random series of pulses is considered. The linear rheological model for the creep law is assumed....
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...
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...
Critical Issues Related to a Combined Probabilistic Numerical Analysis of Contaminant Transport in Porous Media
Reliability algorithms provide attractive alternatives to Monte Carlo simulation and stochastic perturbation approaches for probabilistic analysis of contaminant transport in porous media....
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...
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...
Earthquake Ground Motion Modeling with Stochastic Line Source
Principles of geophysics and stochastics are applied to develop an earthquake model, in which the earth medium is idealized as consisting of stratified elastic layers, responding to seismic...
Response of Suspension and Deck Arch Bridges to Spatially Varying Ground Motion
Recent awareness of the spatial variation of earthquake ground motion has caused concern about the safety of large engineered structures under seismic excitation. The effects of spatially...
Stochastic Modelling of Strong Ground Motions for the Istanbul, Turkey Area from Seismic Data for the Surrounding Region
The ultimate goal of this research is to obtain simulations of earthquake ground motions for the Istanbul, Turkey region. A process of earthquake analysis developed by Ellis and Cakmak...
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