Obserwuj
Arvind Keprate
Arvind Keprate
Professor (OsloMet University)
Zweryfikowany adres z oslomet.no - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
612016
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
412017
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
332017
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
322017
Fatigue and fracture degradation inspection of offshore structures and mechanical items: the state of the art
A Keprate, RMC Ratnayake
International Conference on Offshore Mechanics and Arctic Engineering 56505 …, 2015
322015
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
312015
Comparison of various surrogate models to predict stress intensity factor of a crack propagating in offshore piping
A Keprate, RM Chandima Ratnayake, S Sankararaman
Journal of Offshore Mechanics and Arctic Engineering 139 (6), 061401, 2017
192017
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
152015
Combining computational fluid dynamics and gradient boosting regressor for predicting force distribution on horizontal axis wind turbine
N Bagalkot, A Keprate, R Orderløkken
Vibration 4 (1), 248-262, 2021
142021
COMPARING DIFFERENT METAMODELLING APPROACHES TO PREDICT STRESS INTENSITY FACTOR OF A SEMI-ELLIPTIC CRACK
A Keprate, S Sankararaman, RMC Ratnayake
OMAE 2017, 2017
132017
Handling Uncertainty in Remnant Fatigue Life Assessment of Offshore Process Pipework
A Keprate, RMC Ratnayake
ASME 2016 Internactional Mechanical Engineering Conference and Exposition, 2016
132016
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
132016
Probability of Detection: History, Development and Future
A Keprate
Pipeline Technology Journal 8 (2), 41-45, 2016
122016
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
122016
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), 021606, 2019
112019
A Surrogate Model for Predicting Stress Intensity Factor: An Application to Oil and Gas Industry
A Keprate, RMC Ratnayake, S Sankararaman
International Conference on Offshore Mechanics and Arctic Engineering 57687 …, 2017
112017
Impact of passive heave compensator on offshore lifting
A Keprate
Journal of Shipping and Ocean Engineering 5 (4), 166-80, 2015
102015
Appraisal of riser concepts for FPSO in Deepwater
A Keprate
University of Stavanger, Norway, 2014
82014
Predicting remaining fatigue life of topside piping using deep learning
S Chatterjee, A Keprate
2021 International Conference on Applied Artificial Intelligence (ICAPAI), 1-6, 2021
72021
Data Mining for Estimating Fatigue Strength Based on Composition and Process Parameters
A Keprate, RMC Ratnayake
ASME 2019 38th International Conference on Ocean, Offshore and Arctic …, 2019
72019
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20