Automated serviceability prediction of NSM strengthened structure using a fuzzy logic expert system
作者：
Highlights：
• A serviceability prediction model was developed of NSM strengthened RC beams using fuzzy logic.
• Steel/CFRP were used as strengthening material with variable bond lengths (1600, 1800 or 1900 mm).
• All strengthened beams showed better performance in terms of strength and serviceability.
• The predicted deflection and crack width showed good agreement with the experimental output.
• Rapid prediction ability of the model can help optimize the number of experiments.
摘要
•A serviceability prediction model was developed of NSM strengthened RC beams using fuzzy logic.•Steel/CFRP were used as strengthening material with variable bond lengths (1600, 1800 or 1900 mm).•All strengthened beams showed better performance in terms of strength and serviceability.•The predicted deflection and crack width showed good agreement with the experimental output.•Rapid prediction ability of the model can help optimize the number of experiments.
论文关键词：Steel,CFRP,Deflection,Crack width,Prediction model,Error analysis
论文评审过程：Available online 9 August 2014.
论文官网地址：https://doi.org/10.1016/j.eswa.2014.07.058
