• Artificial Intelligence Based Approach for Predicting Fatigue Strength Using Composition and Process Parameters 

      Keprate, Arvind; Ratnayake Mudiyanselage, Chandima (International Conference on Offshore Mechanics and Arctic Engineering;Volume 3: Materials Technology, Conference object, 2020-12-18)
      Accurate prediction of the fatigue strength of steels is vital, due to the extremely high cost (and time) of fatigue testing and the often fatal consequences of fatigue failures. The work presented in this paper is an ...
    • Residual Stress Prediction Of Welded Joints Using Gradient Boosting Regression 

      Keprate, Arvind; Bhardwaj, Sachin; RATNAYAKE MUDIYANSELAGE, Chandima; Ratnayake Mudiyanselage, Chandima (Communications in Computer and Information Science;Volume 1616, Conference object, 2022-07-23)
      Welding residual stress (WRS) estimation is highly nonlinear process due to its association with high thermal gradients generated during welding. Accurate and fast estimation of welding induced residual stresses in critical ...