Analysis of Port Allen Lock in Elastic-Plastic Soil Medium
Incremental finite element analyses using Drucker-Prager plasticity model are applied to study the interaction of Port Allen Lock with its surrounding soil. The analyses not only consider...
Machine Learning in Civil Engineering ? Important Issues and Challenges
In recent years, machine learning techniques have been applied to help overcome the knowledge acquisition bottleneck of knowledge-based systems in civil engineering. This paper identifies...
Towards Practical Machine Learning Techniques
Most research on the application of machine learning to engineering problems have solved artificial problems. While research claimed to have reached results that would improve practice,...
Machine learning Applications for Automated Constructability Reviews
Knowledge acquisition of the project design and construction site conditions is essential for determining construction project complexity. An effective knowledge acquisition method is...
A Machine Learning Decision Support System for Collaborative Design
The research described in this paper is motivated by the complexity surrounding the development of decision support systems (DSSs) for collaborative design processes. If one realizes that...
The Development of an Expert System Used in Preliminary Design of Concrete Bridges
The importance of the selection of the best design on the one hand and the available knowledge, on the other during the preliminary design process asks after a different kind of software...
Automated Design of 3-D Highway Sign Bridge Structures
A PC-based computer analysis/design program for 3-D Sign Bridge Structures including Pre- and Post-processor has been developed. The analysis of thirty different types of sign support...
Demand/Supply Relationship in Transportation Network Design Problems: A Genetic Algorithm Approach
The cumulative genetic algorithm (CGA) has its significant advantages over the heuristic algorithms in dealing with transportation network design problems. Using CGA, the entire solution...
An Artificial Neural Network Approach to Pavement Maintenance Decision Support System
An important component of any Pavement Maintenance Decision Support System (PMDSS) is the condition survey and rating procedures. Data obtained from these procedures are the primary basis...
SELECTCRANE: An Expert System for Optimum Crane Selection
Every major project undertaken today requires the services of a crane(s) to ensure that all materials and equipment hoisting and placement are performed in the most efficient manner. The...
Construction Expertise Transfer with Knowledge Based Systems
The experience held by a cost estimating engineer is a valuable asset in every construction company. For a reliable cost estimation at the conceptual stage of a building project, the missing...
Prototype Applications of Integrated Data Models in Construction
Problems in computer integrated construction arises not only from a lack of technically proficient models of data integration but also its lack of experience and understanding of how such...
How do Integration and Data Models Add Value to a Project?
Integration has been at the forefront of research agendas of universities and restructuring efforts of companies in the past few years. However, we are still lacking a common understanding...
Object-Oriented Process Modeling to Support Cooperative Planning in Industrialized Building Construction Project
This paper presents current research and develop on process modeling that can support cooperative planning among designer, engineer, project planner and project manager in industrialized...
Characteristics of the US Highway Bridge Population
Characteristics of US highway bridges are summarized, and conditions of national, regional, and state bridges are analyzed with respect to structural deficiency. The overall patterns in...
Flexible Extracation of Practical Knowledge from Bridge Databases
Bridge databases contain significant information that can assist in future bridge management decisions. The effective utilization of this information requires facilities for the flexible...
Adaptive Instructor Model for an Engineering ITS
To develop intelligent tutoring systems (ITS) for engineering via computer technology, a model of how engineers learn as well as methods in which instruction should occur must be captured...
Empirical Performance Comparison for Symbolic and Subsymbolic Learning Systems
The paper gives a description of a comparative study of two learning systems based on symbolic and subsymbolic learning. The two systems' performance was analyzed using the overall empirical...
An Inductive Knowledge-Based System for Mitigation of Bridge Fabrication Errors
Fabrication and erection of steel bridges are very error-prone processes. Bridge engineers at the Kansas Department of Transportation (KDOT) felt that there is a need for the development...
Seismic Evaluation of the Macy Street Bridge, Los Angeles, California, Using 3-D Nonlinear Pushover Methodologies
Nonlinearity of the overall bridge response has begun to be incorporated in the design process through a method known as nonlinear static pushover analysis, and this step is now being...
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