Arvind Keprate

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Appraisal of riser concepts for FPSO in Deepwater

Arvind Keprate, 2014 .

A Surrogate Model for Predicting Stress Intensity Factor: An Application to Oil and Gas Industry

R. M. Chandima Ratnayake, Arvind Keprate, Shankar Sankararaman, 2017 .

Data Mining for Estimating Fatigue Strength Based on Composition and Process Parameters

R. M. Chandima Ratnayake, Arvind Keprate, 2019 .

Vibration Induced Fatigue Integrity Evaluation of Small Bore Piping Using Belief network

R. M. Chandima Ratnayake, Arvind Keprate, 2019 .

Generic Approach for Risk Assessment of Offshore Piping Subjected to Vibration Induced Fatigue

R. M. Chandima Ratnayake, Arvind Keprate, R. Ratnayake, 2018 .

Adaptive Gaussian process regression as an alternative to FEM for prediction of stress intensity factor to assess fatigue degradation in offshore pipeline

R. M. Chandima Ratnayake, Arvind Keprate, Shankar Sankararaman, 2017 .

Determining the degree of fuzziness for Fuzzy-AHP methodology used for identifying fatigue critical piping locations for inspection

Arvind Keprate, R. M. Chandima Ratnayake, A. Keprate, 2016, 2016 IEEE 20th Jubilee International Conference on Intelligent Engineering Systems (INES).

A fuzzy logic based approach for deciding the corrective action to minimize vibration induced fatigue damage on offshore pipework

Arvind Keprate, R. M. Chandima Ratnayake, 2016, 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).

Comparing Different Metamodelling Approaches to Predict Stress Intensity Factor of a Semi-Elliptic Crack

R. M. Chandima Ratnayake, Shankar Sankararaman, Arvind Keprate, 2017 .

Comparison of Various Surrogate Models to Predict Stress Intensity Factor of a Crack Propagating in Offshore Piping

R. M. Chandima Ratnayake, Arvind Keprate, Shankar Sankararaman, 2017 .

Enhancing offshore process safety by selecting fatigue critical piping locations for inspection using Fuzzy-AHP based approach

R. M. Chandima Ratnayake, Arvind Keprate, R. Ratnayake, 2016 .

Architecture for Digital Spare-Parts Library: Use of Additive Layer Manufacturing in the Petroleum Industry

R. M. Chandima Ratnayake, Arvind Keprate, Roman Wdowik, 2019, APMS.

Fatigue and Fracture Degradation Inspection of Offshore Structures and Mechanical Items: The State of the Art

R. M. Chandima Ratnayake, Arvind Keprate, R. Ratnayake, 2015 .

Passive Heave Compensator and Its Impact on Offshore Lifting Operation

Arvind Keprate, 2016 .

Use of AHP for risk based fatigue degradation inspection analysis of topside piping on offshore production and process facilities

R. M. Chandima Ratnayake, Arvind Keprate, 2015, 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).

Assessment of Reliability and Remaining Fatigue Life of Topside Piping Using Dynamic Bayesian Network

R. M. Chandima Ratnayake, Arvind Keprate, R. Ratnayake, 2019, 2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).

Handling Uncertainty in the Remnant Fatigue Life Assessment of Offshore Process Pipework

R. M. Chandima Ratnayake, Arvind Keprate, 2016 .

Minimizing hydrocarbon release from offshore piping by performing probabilistic fatigue life assessment

R. M. Chandima Ratnayake, Arvind Keprate, Shankar Sankararaman, 2017 .

Remaining Fatigue Life Prediction of Topside Piping Using Response Surface Models

R. M. Chandima Ratnayake, Arvind Keprate, 2018, 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).

Selecting fatigue critical inspection location of offshore topside piping using fuzzy-AHP framework

Arvind Keprate, R. M. Chandima Ratnayake, 2016, 2016 IEEE 14th International Symposium on Applied Machine Intelligence and Informatics (SAMI).

Selecting a modeling approach for predicting remnant fatigue life of offshore topside piping

Arvind Keprate, R. M. Chandima Ratnayake, A. Keprate, 2016, 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).

Exploratory Data Analysis of the N-CMAPSS Dataset for Prognostics

Arvind Keprate, Supratik Chatterjee, 2021, 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).

Experimental Validation of the Adaptive Gaussian Process Regression Model Used for Prediction of Stress Intensity Factor as an Alternative to Finite Element Method

Shankar Sankararaman, Arvind Keprate, R. M. Chandima Ratnayake, 2018, Journal of Offshore Mechanics and Arctic Engineering.

Using gradient boosting regressor to predict stress intensity factor of a crack propagating in small bore piping

R. M. Chandima Ratnayake, Arvind Keprate, R. Ratnayake, 2017, 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).