An Expert System for aid in material selection process is proposed, which in conjunction with TOPSIS(Technique for Order Preference by Similiarity to Ideal Situation) method[l] provides a very effective and efficient technique of material selection for a component. TOPSIS is a highly advanced optimization technique, which requires that user provides relative importance to different properties b...

Intelligent systems can facilitate decision making and have been widely applied to various domains. The output of intelligent systems relies on the users’ input. However, with the development of Web-Based Interface, users can easily provide dishonest input. Therefore, the accuracy of the generated decision will be affected. This dissertation presents three essays to discuss the defense solution...

Due to the growing number of structurally deficient bridges in the United States, methods for determining the structural performance of in-service bridges is vital to the preservation of the nation’s bridge network. By utilizing field testing, the response of the bridge due to a known traffic load can be assessed, and more accurate structural performance can be determined. The objective of this...

Bridge is among the zero-sum games for which artificial intelligence has not yet outperformed expert human players. The main difficulty lies in the bidding phase of bridge, which requires cooperative decision making under partial information. Existing artificial intelligence systems for bridge bidding rely on and are thus restricted by human-designed bidding systems or features. In this work, w...

Expert systems are a branch of artificial intelligence that encode the knowledge and performance of a subject matter expert. An expert system provides a powerful approach to managing and applying knowledge to the business. The paradigm here is to encapsulate knowledge in an automated "expert" who can utilize this knowledge for the company's benefit. An expert system can shield a company from em...

In this paper, two different data driven models, genetic programming (GP) and multivariate adoptive regression splines (MARS), have been adopted to create the models for prediction of bridge risk score. Input parameters of bridge risks consists of safe risk rating (SRR), functional risk rating (FRR), sustainability risk rating (SUR), environmental risk rating (ERR) and target output. The total ...

In this study, a system for monitoring the structural health of bridge deck and predicting various possible damages to this section was designed based on measuring the temperature and humidity with the use of wireless sensor networks, and then it was implemented and investigated. A scaled model of a conventional medium sized bridge (length of 50 meters, height of 10 meters, and with 2 piers) wa...

high speed trains are an indispensable part of rapid transportation systems in many countries. as the fastest means of transport on the ground, these trains are extremely sensitive to the terrain and track conditions. geometrical irregularities and mechanical characteristics of the track, together with inconsistencies in the lane (including bridges that support the track) are considered importa...

A program for engineering wood bridges is described. The program performs the analysis, design, and/or rating of wood bridge superstructures in accordance with the 15th Edition of the AASHTO Specification or the AASHTO-LRFD Specification. Bridges may be analyzed for design review and/or rating. In review/rating mode, the superstructure is analyzed and checked against all applicable specificatio...