Machine learning based graphical interface for accurate estimation of FRP-concrete bond strength under diverse exposure conditions

This publication has 30 references indexed in Scilit:

• Experimental Study on Bond Behavior of FRP-Concrete Interface in Hygrothermal Environment
  International Journal of Polymer Science, 2016
• Effects of water immersion on the bond behavior between CFRP plates and concrete substrate
  Construction and Building Materials, 2015
• Durability of FRP Concrete Bonds and Its Constituent Properties under the Influence of Moisture Conditions
  Journal of Materials in Civil Engineering, 2015
• Bond between FRP composites and concrete: Assessment of design procedures and analytical models
  Composites Part B: Engineering, 2014
• Bond Behavior between Basalt Fiber–Reinforced Polymer Sheet and Concrete Substrate under the Coupled Effects of Freeze-Thaw Cycling and Sustained Load
  Journal of Composites for Construction, 2013
• Bond strength of CFRP–concrete elements under freeze–thaw cycles
  Composite Structures, 2010
• Effects of elevated water temperatures on interfacial delaminations, failure modes and shear strength in externally-bonded CFRP-concrete beams using infrared thermography, gray-scale images and direct shear test
  Construction and Building Materials, 2009
• Bond–slip models for FRP sheets/plates bonded to concrete
  Engineering Structures, 2005
• Random Forests
  Machine Learning, 2001
• Anchorage Strength Models for FRP and Steel Plates Bonded to Concrete
  Journal of Structural Engineering, 2001