Abstract
Evaluation of existing bridges is a routine process in the nation's departments of transportation. Although final rating of a bridge is based on data collected through inspection of critical structural components, the process still requires engineering judgement and experience, which are seldom identical among engineers. A tool called neural network has been shown as an attractive alternative in the decision making process in many fields including engineering. The efficiency and potential of neural networks in evaluating bridge performance are discussed herein.
| Original language | English (US) |
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| Title of host publication | Probabilistic Mechanics and Structural and Geotechnical Reliability, Proceedings of the Specialty Conference |
| Publisher | ASCE |
| Pages | 298-301 |
| Number of pages | 4 |
| State | Published - Jan 1 1996 |
| Event | Proceedings of the 1996 7th Specialty Conference on Probabilistic Mechanics and Structural Reliability - Worcester, MA, USA Duration: Aug 7 1996 → Aug 9 1996 |
Other
| Other | Proceedings of the 1996 7th Specialty Conference on Probabilistic Mechanics and Structural Reliability |
|---|---|
| City | Worcester, MA, USA |
| Period | 8/7/96 → 8/9/96 |
ASJC Scopus subject areas
- General Engineering