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A Predictive Model of the Currents in Cleveland Bay
A two-dimensional (depth-averaged) numerical model is proposed to describe the hydrodynamics of Cleveland Bay and is used to investigate the water circulation within the Bay. By utilizing...

Approximation of Convective Processes by Cyclic AOI Methods
Convective or advective processes play a role in many models for civil engineering applications. For example in transport equations, in hydrodynamic equations or wave energy equations....

Computer Modeling of Structural Systems for Residential Scale Buildings
The majority of housing in the United States is single family residences or low-rise multiple family dwelling units. The structural systems usually consist of rather uncomplicated types...

Generating Detailed Emissions Forecasts Using Regional Transportation Models: Current Capabilities and Issues
Mobile source emission estimates have long been calculated using composite emission factors (expressed as grams of emissions per mile) and estimates of vehicle-miles travelled. Techniques...

Characteristics of MOBILE4 and EMFAC7E Models
Several recent studies (e.g., Lawson et al., 1990; Ingalls, 1989) have indicated that the EPA and ARB vehicle emission factor models MOBILE4 and EMFAC7E underpredict in-use vehicle emission...

Modeling Guideline for Air Quality Analysis of Intersections
Model evaluations have been performed testing eight different models for the ability to estimate carbon monoxide near intersections. These evaluation results along with the need for updated...

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...

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...

Extended Kalman Filter-Finite Element for Geotechnical Problems
A parameter identification method has been developed in geotechnical engineering problems, where the extended Kalman filter-weighted local iteration procedure is developed incorporated...

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...

Geotechnical Database Manipulation to Effect Stochastic Analysis
Existing or easily-developed databases of regional geotechnical information can be used to estimate prior probability distributions and parameters for use in stochastic analyses. Prior...

 

 

 

 

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