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Arvind Keprate
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Proceedings Papers

Simulation of Wind Flow Around the Terrain of a High-Altitude Transmission Tower: A Case Study of Saurdal Accident

Arvind Keprate, N. Bagalkot, Mohammad Reza Shah Mohammadi, Agnes Marie Horn
Proc. ASME. OMAE2022, Volume 7: CFD and FSI, V007T08A021, June 5–10, 2022
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2022-81503
https://doi.org/10.1115/OMAE2022-81503
View Paper titled, Simulation of Wind Flow Around the Terrain of a High-Altitude Transmission Tower: A Case Study of Saurdal Accident
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Topics: Accidents, Computational fluid dynamics, Flow (Dynamics), Power transmission towers and poles, Simulation, Wind
Proceedings Papers

Machine Learning Approach to Estimate the Diffusion Coefficient of CO 2 in Hydrocarbons

Nikhil Bagalkot, Arvind Keprate
Proc. ASME. OMAE2021, Volume 10: Petroleum Technology, V010T11A036, June 21–30, 2021
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2021-62407
https://doi.org/10.1115/OMAE2021-62407
View Paper titled, Machine Learning Approach to Estimate the Diffusion Coefficient of CO 2 in Hydrocarbons
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Topics: Carbon dioxide, Diffusion (Physics), Machine learning
Proceedings Papers

Prediction of Stress Correction Factor for Welded Joints Using Response Surface Models

Arvind Keprate, Nikhil Donthi
Proc. ASME. OMAE2021, Volume 3: Materials Technology, V003T03A007, June 21–30, 2021
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2021-62948
https://doi.org/10.1115/OMAE2021-62948
View Paper titled, Prediction of Stress Correction Factor for Welded Joints Using Response Surface Models
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Topics: Response surface methodology, Stress, Welded joints, Finite element analysis, Errors, Testing, Event history analysis, Fatigue, Fittings, Flanges
Proceedings Papers

Machine Learning Approach for Estimating Residual Stresses in Girth Welds of Topside Piping

Sachin Bhardwaj, R. M. Chandima Ratnayake, Arvind Keprate, Xavier Ficquet
Proc. ASME. OMAE2020, Volume 3: Materials Technology, V003T03A023, August 3–7, 2020
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2020-18703
https://doi.org/10.1115/OMAE2020-18703
View Paper titled, Machine Learning Approach for Estimating Residual Stresses in Girth Welds of Topside Piping
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Topics: Machine learning, Pipes, Residual stresses, Welded joints, Stress, Algorithms, Errors, Fitness-for-service, Databases, Failure
Proceedings Papers

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

Arvind Keprate, R. M. Chandima Ratnayake
Proc. ASME. OMAE2020, Volume 3: Materials Technology, V003T03A017, August 3–7, 2020
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2020-18675
https://doi.org/10.1115/OMAE2020-18675
View Paper titled, Artificial Intelligence Based Approach for Predicting Fatigue Strength Using Composition and Process Parameters
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Topics: Artificial intelligence, Fatigue strength, Algorithms, Errors, Alloy steel, Artificial neural networks, Carbon, Databases, Engineers, Fatigue
eBook Chapter

STRUCTURAL RELIABILITY ASSESSMENT OF PIPELINE GIRTH WELDS USING GAUSSIAN PROCESS REGRESSION

Publisher: ASME Press
Published: 2020
ISBN: 9780791861998
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Topics: Experimental design, Failure, Finite element analysis, Pipelines, Probability, Reliability, Welded joints
Proceedings Papers

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

Arvind Keprate, R. M. Chandima Ratnayake
Proc. ASME. OMAE2019, Volume 4: Materials Technology, V004T03A017, June 9–14, 2019
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2019-95155
https://doi.org/10.1115/OMAE2019-95155
View Paper titled, Data Mining for Estimating Fatigue Strength Based on Composition and Process Parameters
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Topics: Data mining, Fatigue strength, Errors, Modeling, Steel, Algorithms, Alloy steel, Carbon, Fatigue, Fatigue failure
Journal Articles

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

Arvind Keprate, R. M. Chandima Ratnayake, Shankar Sankararaman
Journal: Journal of Offshore Mechanics and Arctic Engineering
Publisher: ASME
Article Type: Research-Article
J. Offshore Mech. Arct. Eng. April 2019, 141(2): 021606.
Paper No: OMAE-17-1120
https://doi.org/10.1115/1.4041457
Published Online: October 18, 2018
View Article titled, Experimental Validation of the Adaptive Gaussian Process Regression Model Used for Prediction of Stress Intensity Factor as an Alternative to Finite Element Method
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Topics: Finite element methods, Finite element model, Fracture (Materials), Regression models, Stress
Proceedings Papers

Riser Concept Selection for FPSO in Deepwater Norwegian Sea: A Case Study

Arvind Keprate, R. M. Chandima Ratnayake
Proc. ASME. OMAE2018, Volume 5: Pipelines, Risers, and Subsea Systems, V005T04A076, June 17–22, 2018
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2018-78344
https://doi.org/10.1115/OMAE2018-78344
View Paper titled, Riser Concept Selection for FPSO in Deepwater Norwegian Sea: A Case Study
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Topics: FPSO, Pipeline risers, Risers (Casting), Seas, Vessels, Flexible risers, Water, Waves, Dynamics (Mechanics), Fatigue damage
Proceedings Papers

Validation of Adaptive Gaussian Process Regression Model Used for SIF Prediction

Arvind Keprate, R. M. Chandima Ratnayake, Shankar Sankararaman
Proc. ASME. OMAE2018, Volume 4: Materials Technology, V004T03A029, June 17–22, 2018
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2018-78608
https://doi.org/10.1115/OMAE2018-78608
View Paper titled, Validation of Adaptive Gaussian Process Regression Model Used for SIF Prediction
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Topics: Regression models, Errors, Finite element methods, Fracture (Materials), Pipes, Stress, Trains
Journal Articles

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

Arvind Keprate, R. M. Chandima Ratnayake
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. June 2018, 4(2): 021006.
Paper No: RISK-17-1044
https://doi.org/10.1115/1.4037353
Published Online: October 3, 2017
View Article titled, Generic Approach for Risk Assessment of Offshore Piping Subjected to Vibration Induced Fatigue
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Proceedings Papers

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

Arvind Keprate, R. M. Chandima Ratnayake, Shankar Sankararaman
Proc. ASME. OMAE2017, Volume 4: Materials Technology, V004T03A025, June 25–30, 2017
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2017-62333
https://doi.org/10.1115/OMAE2017-62333
View Paper titled, Comparing Different Metamodelling Approaches to Predict Stress Intensity Factor of a Semi-Elliptic Crack
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Topics: Fracture (Materials), Stress, Errors, Finite element methods, Trains, Uncertainty, Artificial neural networks, Pipes, Polynomials, Support vector machines
Proceedings Papers

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

Arvind Keprate, R. M. Chandima Ratnayake, Shankar Sankararaman
Proc. ASME. OMAE2017, Volume 4: Materials Technology, V004T03A020, June 25–30, 2017
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2017-61091
https://doi.org/10.1115/OMAE2017-61091
View Paper titled, A Surrogate Model for Predicting Stress Intensity Factor: An Application to Oil and Gas Industry
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Topics: Petroleum industry, Stress, Finite element methods, Fracture (Materials), Fracture mechanics, Regression models, Structural elements (Construction)
Journal Articles

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

Arvind Keprate, R. M. Chandima Ratnayake, Shankar Sankararaman
Journal: Journal of Offshore Mechanics and Arctic Engineering
Publisher: ASME
Article Type: Research-Article
J. Offshore Mech. Arct. Eng. December 2017, 139(6): 061401.
Paper No: OMAE-17-1055
https://doi.org/10.1115/1.4037290
Published Online: August 16, 2017
View Article titled, Comparison of Various Surrogate Models to Predict Stress Intensity Factor of a Crack Propagating in Offshore Piping
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Topics: Finite element methods, Finite element model, Fracture (Materials), Stress, Polynomials, Underwater pipelines, Testing, Pipes, Artificial neural networks, Support vector machines
Proceedings Papers

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

Arvind Keprate, R. M. Chandima Ratnayake
Proc. ASME. IMECE2016, Volume 14: Emerging Technologies; Materials: Genetics to Structures; Safety Engineering and Risk Analysis, V014T14A023, November 11–17, 2016
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2016-65504
https://doi.org/10.1115/IMECE2016-65504
View Paper titled, Handling Uncertainty in the Remnant Fatigue Life Assessment of Offshore Process Pipework
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Topics: Fatigue life, Ocean engineering, Piping systems, Uncertainty, Fracture (Materials), Fracture mechanics, Inspection, Process piping
Proceedings Papers

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

Arvind Keprate, R. M. Chandima Ratnayake
Proc. ASME. OMAE2015, Volume 4: Materials Technology, V004T03A018, May 31–June 5, 2015
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2015-41533
https://doi.org/10.1115/OMAE2015-41533
View Paper titled, Fatigue and Fracture Degradation Inspection of Offshore Structures and Mechanical Items: The State of the Art
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Topics: Fatigue, Fracture (Materials), Inspection, Offshore structures, Damage, Fatigue life, Fitness-for-service, Nondestructive evaluation, Design, Failure