Arvind Keprate
TitleCited byYear
Enhancing offshore process safety by selecting fatigue critical piping locations for inspection using Fuzzy-AHP based approach
A Keprate, RMC Ratnayake
Process Safety and Environmental Protection 102 (2016), 71-84, 2016
262016
Fatigue and fracture degradation inspection of offshore structures and mechanical items: the state of the art
A Keprate, RM Ratnayake
ASME 2015 34th International Conference on Ocean, Offshore and Arctic …, 2015
152015
Minimizing hydrocarbon release from offshore piping by performing probabilistic fatigue life assessment
A Keprate, RMC Ratnayake, S Sankararaman
Process Safety and Environmental Protection 106, 34-51, 2017
132017
Probability of detection as a metric for quantifying NDE capability: the state of the art
A Keprate, RMC Ratnayake
J. Pipeline Eng 14 (3), 199-209, 2015
132015
Adaptive Gaussian process regression as an alternative to FEM for prediction of stress intensity factor to assess fatigue degradation in offshore pipeline
A Keprate, RMC Ratnayake, S Sankararaman
International Journal of Pressure Vessels and Piping, 2017
122017
Use of AHP for risk based fatigue degradation inspection analysis of topside piping on offshore production and process facilities
A Keprate, RMC Ratnayake
2015 IEEE International Conference on Industrial Engineering and Engineering …, 2015
122015
Selecting Fatigue Critical Inspection Location of Offshore Topside Piping Using Fuzzy-AHP Framework
A Keprate, RMC Ratnayake
IEEE 14th International Symposium on Applied Machine Intelligence and …, 2016
92016
Determining the Degree of Fuzziness for Fuzzy- AHP Methodology used for Identifying Fatigue Critical Piping Locations for Inspection
A Keprate, RMC Ratnayake
IEEE International Conference on Intelligent Engineering Systems,, 165-170, 2016
82016
Comparison of various surrogate models to predict stress intensity factor of a crack propagating in offshore piping
A Keprate, RMC Ratnayake, S Sankararaman
Journal of Offshore Mechanics and Arctic Engineering 139 (6), 061401, 2017
62017
Handling Uncertainty in Remnant Fatigue Life Assessment of Offshore Process Pipework
A Keprate, RMC Ratnayake
ASME 2016 Internactional Mechanical Engineering Conference and Exposition, 2016
62016
COMPARING DIFFERENT METAMODELLING APPROACHES TO PREDICT STRESS INTENSITY FACTOR OF A SEMI-ELLIPTIC CRACK
A Keprate, S Sankararaman, RMC Ratnayake
OMAE 2017, 2017
52017
Probability of Detection: History, Development and Future
A Keprate
Pipeline Technology Journal 8 (2), 41-45, 2016
52016
Impact of passive heave compensator on offshore lifting
A Keprate
Journal of Shipping and Ocean Engineering 5 (4), 166-80, 2015
52015
Inspection planning and maintenance scheduling of offshore piping undergoing fatigue degradation: A probabilistic view
A Keprate, RMC Ratnayake
EurOMA Conference, 2016
42016
Generic Approach for Risk Assessment of Offshore Piping Subjected to Vibration Induced Fatigue
A Keprate, RM Chandima Ratnayake
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2018
32018
Using Gradient boosting Regressor to predict stress intensity factor of a crack propagating in small bore piping
A Keprate, RMC Ratnayake
2017 IEEE International Conference on Industrial Engineering and Engineering …, 2017
32017
Appraisal of riser concepts for FPSO in Deepwater
A Keprate
University of Stavanger, Norway, 2014
22014
Experimental validation of the adaptive Gaussian process regression model used for prediction of stress intensity factor as an alternative to finite element method
A Keprate, RM Chandima Ratnayake, S Sankararaman
Journal of Offshore Mechanics and Arctic Engineering 141 (2), 2019
12019
Appraising the Module Deployment Operation in the RLWI Units
A Keprate, MA Mohammed
Journal of Shipping and Ocean Engineering 6, 82-94, 2016
12016
Architecture for Digital Spare-Parts Library: Use of Additive Layer Manufacturing in the Petroleum Industry
RMC Ratnayake, A Keprate, R Wdowik
IFIP International Conference on Advances in Production Management Systems …, 2019
2019
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