• 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 ...
    • Review of Weld Quality Classification Standard and Post Weld Fatigue Life Improvement Methods for Welded Joints 

      Bhardwaj, Sachin; Keprate, Arvind; Chandima Ratnayake, Mudiyanselage (Lecture Notes in Civil Engineering;Volume 110, Conference object, 2020-12-13)
      In typical fabricated structures, there are hundreds of joints, which acts as a potential location for fatigue cracking. Ageing and life extension (ALE) of such structures could be developed further by creating an optimal ...
    • Standards Ethics Legal Implications Challenges of Artificial Intelligence 

      Keprate, Arvind; Chauhan, Sanjana (Chapter; Peer reviewed; Conference object, 2022)
      We are moving towards an era of automation and technological revolution with Artificial Intelligence (AI) at its core. There is no doubt that AI has created commercial value across various industries such as e-commerce, ...
    • Use of Analytical Hierarchy Process in Selecting the Optimum Equipment for Execution at a Construction Project 

      Keprate, Arvind; Kumar, Gaurav Thakur (IEEE International Conference on Industrial Engineering and Engineering Management; 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Chapter; Peer reviewed; Conference proceeding, 2020-01-12)
      There are plethora of issues associated with construction project management process, the most important being the selection of the optimum equipment for execution at a construction site. Different people have different ...
    • Use of digital twins for process safety management 

      Keprate, Arvind; Bagalkot, Nikhil (Methods in Chemical Process Safety;, Chapter; Journal article, 2022)
      The chapter discusses the framework for developing a Digital Twin (DT) for the process safety management (PSM) of small-bore piping (SBP) on a typical offshore platform. One of the important problems during the PSM of SBP ...
    • Virtual measurements in Wastewater treatment plant: Machine learning models for predicting the PO4 concentration in the effluent 

      Mohamed, Mohamed Abdishakur (Master thesis, 2023)
      Due to the underlying complexity of wastewater treatment plant (WWTP) processes, it might be challenging to respond appropriately and promptly to the dynamic process conditions in order to ensure the quality of the effluent, ...