Using Artificial Neural Network (ANN) for Prediction of Climate Change Impacts on Jointed Plain Concrete Pavement

Driven by human influence, Canada’s climate has warmed and will warm further at a rate of double the global average. Climate change phenomenon, commonly known as ‘global warming’, is expected to cause irreversible temperature rise as well as other environmental anomalies that could affect transportation infrastructures. With continued growth in greenhouse gas (GHG) emissions in future, rising temperatures will have consequences on the short and long-term performance of the Jointed Plain Concrete Pavement (JPCP) systems. In this study, climate change impact on a typical JPCP structure was modeled using Pavement ME Design (PMED) software. The PMED modeling results were fed into a two-layer feed-forward network with sigmoid hidden neurons and linear output neurons. Results of this study indicated that the developed ANN models are effective and capable of accurately predicting the potential and relative impact of climate change on JPCP.

• Record URL:
  https://www.tac-atc.ca/sites/default/files/conf_papers/shafieem_using_artificial_neural_network_for_prediction_of_climate_change_final.pdf
• Corporate Authors:

  Transportation Association of Canada

  ,    
• Authors:
  • Shafiee, M
  • Maadani, O
  • Fahiem, E
• Conference:
  • Transportation Association of Canada 2021 Conference and Exhibition - Recovery and Resilience: Transportation after COVID-19
• Publication Date: 2021

Language

• English

Media Info

• Media Type: Web
• Pagination: 1 PDF file, 1.8 MB, 14p.
• Monograph Title: Transportation Association of Canada 2021 Conference and Exhibition - Recovery and Resilience: Transportation after COVID-19

Subject/Index Terms

• TRT Terms: Climate change; Concrete; Conferences; Durability; Forecasting; Mathematical models; Rigid pavements; Temperature
• Geographic Terms: Canada
• ITRD Terms: 8018: Canada; 2470: Climate change; 4755: Concrete; 8525: Conference; 5910: Durability; 132: Forecast; 6473: Mathematical model; 2964: Rigid pavement; 6722: Temperature
• Subject Areas: Environment; I15: Environment; I32: Concrete;

Filing Info

• Accession Number: 01785332
• Record Type: Publication
• Source Agency: Transportation Association of Canada
• Files: ITRD, TAC
• Created Date: Oct 22 2021 3:20PM