A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Neural Network Approach to Condition Assessment of Highway Culverts: Case Study in Ohio
Millions of culverts exist in the United States, and they are aging rapidly. Inspection of all the culverts consumes a lot of time and resources. Instead of inspecting each culvert every 5 years, this study presents a more intelligent approach to predict the condition of each culvert. An artificial neural network (ANN) model is built to assess the condition of the culverts based on culvert inventory data. The overall condition-rating predictions are compared with the condition rating based on manual inspection. The results of this study have shown that ANN was able to predict culvert adjusted overall rating with high precision, as the course of action score prediction rate was 100%. Sensitivity analysis of the ANN model is provided to assess the effect of variables. The goal of this study is to show that more intelligent culvert-management systems could be devised by taking advantage of artificial intelligence.
Neural Network Approach to Condition Assessment of Highway Culverts: Case Study in Ohio
Millions of culverts exist in the United States, and they are aging rapidly. Inspection of all the culverts consumes a lot of time and resources. Instead of inspecting each culvert every 5 years, this study presents a more intelligent approach to predict the condition of each culvert. An artificial neural network (ANN) model is built to assess the condition of the culverts based on culvert inventory data. The overall condition-rating predictions are compared with the condition rating based on manual inspection. The results of this study have shown that ANN was able to predict culvert adjusted overall rating with high precision, as the course of action score prediction rate was 100%. Sensitivity analysis of the ANN model is provided to assess the effect of variables. The goal of this study is to show that more intelligent culvert-management systems could be devised by taking advantage of artificial intelligence.
Neural Network Approach to Condition Assessment of Highway Culverts: Case Study in Ohio
Tatari, Omer (author) / Sargand, Shad M. (author) / Masada, Teruhisa (author) / Tarawneh, Bashar (author)
Journal of Infrastructure Systems ; 19 ; 409-414
2013-11-15
62013-01-01 pages
Article (Journal)
Electronic Resource
English
Neural Network Approach to Condition Assessment of Highway Culverts: Case Study in Ohio
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