Research to Application: Network Models to Simulate Flow and Transport in Heterogeneous Media
Effective groundwater cleanup requires accurate site-specific information on cleanup processes. Numerical simulations limit the need for expensive field experiments and provide details...
Filling and Emptying System Model Study for the Innovative Lock Design
Funding constraints have generated innovative ideas regarding the hydraulic system of proposed navigation locks. Two fundamental questions addressed in the innovative lock design study...
Predicting THM Formation with Artificial Neural Networks
An existing mathematical model to predict trihalomethane formation and speciation was enhanced through the use of artificial neural network technology. The model corresponded well with...
Emulation of DWRDSM using Artificial Neural Networks and Estimation of Sacramento River Flow from Salinity
Artificial Neural Networks (ANNs) are widely used and well-suited for multiple non-linear regression. Department of Water Resources Delta Simulation Model (DWRDSM) is a computer model...
I.P.L. Space Trusses: Structural Performance and Analysis
The utilization of the fast working massively parallel computers in solving intense numerical problems, in the field of structural engineering left disappointed many of practical engineers....
A Real-Time Control Network for Robotic Mining
The application of computers and computer networks to coal mining machines is one approach the U.S. Bureau of mines is pursuing to enhance safety for the coal miner while at the same time...
Interpretation of Nondestructive Integrity Tests Using Artificial Neural Networks
A barrier to more frequent use of nondestructive integrity tests on cast-in-place foundations is the difficulty of interpreting the test results to identify the presence or absence of...
Some Applications of Neural Networks in Structural Engineering
After a brief discussion of neural networks and their potential engineering applications, the author's on-going research in application of neural networks in structural engineering will...
General Structure Representation for Neural Networks
Current applications of neural networks for structural analysis are limited to specific structures. In order to expand the use of neural networks to general structural types, the input...
Rail-Air: A Multi-Modal Opportunity in a Changing World
The purpose of this Paper is to examine the applicability of rail links to major airports and the benefits they can bring. It will seek to identify the key success factors and the extent...
Site Characterization by Artificial Neural Networks
Recently, an optimal groundwater management model has been developed to treat groundwater remediation problems at Lawrence Livermore National Laboratory (LLNL). The objective of the model...
Genetic Algorithms and Neural Networks: Do Pluralized Techniques Hold Any Advantages for Designing Groundwater Quality Assurance Systems?
Methods have recently been developed for designing groundwater monitoring and pollutant containment systems. These methods rely on a variety of new and classical optimization and modeling...
Integration of Reliability, Uncertainty and Optimization in Hydraulics Systems: Classification of Problem Types
Design and operation of hydraulic systems can be an extremely complex task. Although not widely accepted the application of deterministic optimization techniques can provide guidance to...
Quantification of Cost Uncertainties Using Neural Network Technique
This paper describes the development of a neural network system for forecasting cost escalation in construction. The input of the neural network system consists of factors that have an...
Estimating Clay Liner and Cover Permeability Using Computational Neural Networks
The ability to provide a quick estimate of the permeability value to be expected in laboratory testing (of field samples) would help to predict potential problems in meeting the permeability...
Development of an Expert System to Identify Hazardous Highway Spots
The paper describes the development of an expert system within a geographic information system to identify high-hazard spots in a highway network. The philosophy guiding expert system...
Selecting Precast Concrete Building Systems
The development of an integrated computer system to assist in the selection of precast concrete (PC) building systems is described. StructNet, a neural network program, identifies possible...
Global Network Optimization for Pavement Management
In a state-wide pavement management system, the highway network can be divided into a number of road categories based on traffic level and geographical region. Network optimization analysis...
The Application of Artificial Neural Networks to Civil Engineering
Recently, there has been much interest in the application of artificial neural networks (ANNs) to civil engineering problems. Most applications, however, have been limited to the use of...
Calibration of a Highway Traffic Assignment Model for the Manhattan Central Business District
This paper describes the application of a traffic assignment model, specifically the TRANPLAN model, in New York City together with the methodologies and the satellite programs that were...
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