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Developing Protocols for Motor Vehicle Air Quality Modeling
This paper is directed to air quality analysts. It examines the issues surrounding a modeling protocol and how to work effectively with a traffic engineer on a project to model carbon...

Integrating Traffic and Air Quality Modeling Techniques to Predict Pollutant Concentrations Near Intersections
Many cities are considering transportation management measures and/or tailpipe emission controls to reduce the pollution associated with traffic congestion. A major difficulty is the expensive...

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...

The Monitoring of Water Conservation Behavior and Attitudes in Southern California
Seldom are the effects of public information programs monitored and analyzed in a sound, systematic manner. Information on the impact of investments in public information programs is essential:...

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...

The Use of Influence Diagrams in Risk Management Involving Multiple Stakeholders
In this paper, a new methodology is proposed that employs influence diagrams to integrate the issues that arise in risk management and to demonstrate the relationship amoung the stakeholders...

Implementing Uncertainty Treatment in AI Development Environment
The seismic vulnerability of existing masonry buildings is investigated by an expert system prototype. Field inspectors have to provide answers which can be of a Boolean, fuzzy or probabilistic...

A Probabilistic Regional Damage Estimation Model for Earthquake Occurrences
In this paper we present a model for estimating regional earthquake damage. The model utilizes the relational data base management system ORACLE and the geographic information system ARC/INFO...

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...

Reliability-Based Specification for Engineered Wood Construction
A three-year, industry-sponsored effort has resulted in the development of a reliability-based, load and resistance factor design (LRFD) Specification for wood construction. Improvements...

International Harmonization of Reliability-Based Timber Engineering Design Codes
An overview is presented on reliability-based timber design code activities in various major timber producing and consuming countries. The overview is based on information generated through...

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...

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...

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....

 

 

 

 

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