Neural Networks in Structural Control
Let the response of a simple two-story frame to a stochastic dynamic excitation be controlled by activating suitable actuators. A neural network is trained to recognize, from the measurement...
An Overview of the Potential Applications of Neural Networks in Civil Engineering
Neural networks are computational models inspired by the structure and operation of the brain. They are massively parallel systems, made up of a large number of highly interconnected,...
Global Approaches for the Nonconvex Optimization of Pipe Networks
Because the pipe network problem is nonconvex, two global search schemes, MULTISTART and ANNEALING, are employed to permit a local optimum seeking method to migrate among various local...
Pipe Network Optimisation Using Genetic Algorithms
A new optimization technique of generic algorithms has recently been successfully applied to pipe network optimization. In this paper a parametric analysis is carried out of the genetic...
A Comparison of Short Term Forecast Methods for Municipal Water Use
Water utilities routinely develop long range demand forecasts for use in the normal planning activities. In recent years, many utilities have sought to develop more short-term demand forecasts...
Finite Element Analysis and Design of Bridges with Applicatrons of ICAD
This paper describes applications of client-server models, interprocess communications (IPC), and concepts of intelligent CAD (ICAD) to the interactive design and analysis of highway bridge...
Conceptual Cost Estimating: A Hybrid Neural-Expert System Approach
This paper presents a hybrid neural-expert system approach for developing conceptual cost estimates based on historical data of construction projects. The proposed hybrid neural-expert...
POE System Development Using Personal Computers
This is a report concerning personal computer utilization such as CAD and spreadsheets which are often used establish the investigation, analysis and evaluation method. These are based...
A Spatial Decision Support System for Vehicle Routing
This paper describes the design, development, and implementation of a computer aided system for planning efficient network maintenance routes. The system has been used to design snow and...
Study of a Computer System for Evaluation of Bearing Wall Stresses in Structural Planning ? Reasoning by Neural Network
This report proposes a reasoning system for bearing shear wall stresses in the ultimate state by using geometrical data of buildings and shear walls at the initial stage of aseismic structural...
An Application of Neural Networks to Hysteretic Modeling of Steel Structures
This paper describes an application of the neural networks to realistic hysteretic modeling. The neural networks learn from sample data (training cases) and make predictions for new cases....
Applying Constraint Satisfaction Neural Networks to Multiple Views' Data Partitioning in Building Engineering
A typical building engineering process involves multiple project participants and several computer applications. These participants and applications have their own views of the underlying...
NEUROFLOOR: A Flooring System Selection Neural Network
A back-propagation neural network (BPNN) has been trained to help building designers and engineers in designing or analyzing steel bar joist flooring systems. The NEUROFLOOR BPNN allows...
Migration to a Networked Workstation Environment
Most engineering firms and universities are in the process of migrating from mainframe(s) and/or minicomputer(s) and personal computers to a networked workstation environment. Although...
Use of Construction Simulation in Claims Analysis
The increasing complexity of today's construction projects has led to considerable progress in developing sophisticated simulation-based methods and tools for the analysis and planning...
Artificial Neural Networks and Knowledge-Based Systems: Complementary AI Techniques for Civil Engineering
This paper considers the feasibility of integrating Artificial Neural Networks (ANNs) and Knowledge-Based Systems (KBSs) to solve civil engineering problems. KBSs are superior at representing...
NETSYN: Neural Network-based Support for Synthesis
Our goal in applying machine learning for synthesis is to develop a tool that assists in acquiring the relationships between form, function, and behavior properties that can be used to...
Neural Network Learning in Structural Engineering Applications
Neural networks based on the backpropagation learning algorithm have been used in a number of structural engineering applications. The paper classifies the different types of relationships...
Optimal Adaptive and Predictive Control System of Buildings by Neural Network and Fuzzy Theory
This paper describes an optimal adaptive and predictive control system and its digital simulations for a single-degree-of-freedom system subjected to earthquake loading. In this system,...
Neural Network System for Automated Highway Pavement Inspection
A multi-layer perceptron back propagation neural network based methodology has been developed to process and analyze moire fringes obtained with an automated highway pavement inspection...
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