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R. M. Chandima Ratnayake
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Proceedings Papers

Fatigue Test Geometries Used for Girth Welds and Assessment of Residual Stress: State of the Art

Even Englund, R. M. Chandima Ratnayake
Proc. ASME. OMAE2024, Volume 3: Materials Technology; Subsea Technology, V003T03A005, June 9–14, 2024
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2024-127267
https://doi.org/10.1115/OMAE2024-127267
View Paper titled, Fatigue Test Geometries Used for Girth Welds and Assessment of Residual Stress: State of the Art
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Topics: Fatigue testing, Stress, Welded joints
Proceedings Papers

Modeling of Thermo-Mechanical Behavior of Laser Powder Bed Fusion of Nickel-Based Super Alloy Parts Used in Oil and Gas Industry

Zeinab Malekshahi Beiranvand, R. M. Chandima Ratnayake, Mehdi Rasoulinia, Amir Moradiani
Proc. ASME. OMAE2022, Volume 3: Materials Technology; Pipelines, Risers, and Subsea Systems, V003T03A003, June 5–10, 2022
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2022-79192
https://doi.org/10.1115/OMAE2022-79192
View Paper titled, Modeling of Thermo-Mechanical Behavior of Laser Powder Bed Fusion of Nickel-Based Super Alloy Parts Used in Oil and Gas Industry
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Topics: Alloys, Lasers, Modeling, Nickel, Petroleum industry, Stress, Thermomechanics
Proceedings Papers

Comparison Between Shrinkage Strain and FEM Thermo-Mechanical Method for Estimation of Welding Induced Residual Stresses

Sachin Bhardwaj, R. M. Chandima Ratnayake
Proc. ASME. OMAE2021, Volume 3: Materials Technology, V003T03A014, June 21–30, 2021
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2021-62895
https://doi.org/10.1115/OMAE2021-62895
View Paper titled, Comparison Between Shrinkage Strain and FEM Thermo-Mechanical Method for Estimation of Welding Induced Residual Stresses
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Topics: Finite element methods, Finite element model, Residual stresses, Shrinkage (Materials), Stress, Thermomechanics, Welding
Proceedings Papers

Estimation of Welding-Induced Plastic Zone Size and Residual Stress Levels: Linear Heat Input Approximation

Sachin Bhardwaj, R. M. Chandima Ratnayake
Proc. ASME. OMAE2021, Volume 3: Materials Technology, V003T03A010, June 21–30, 2021
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2021-62843
https://doi.org/10.1115/OMAE2021-62843
View Paper titled, Estimation of Welding-Induced Plastic Zone Size and Residual Stress Levels: Linear Heat Input Approximation
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Topics: Approximation, Heat, Stress, Welding
Proceedings Papers

Investigating Optimal Parameter Combination for Friction Stir Spot Welding on AL7075-T6: Engineering Robust Design Approach

Jan-Tore Jakobsen, R. M. Chandima Ratnayake, Sølve Sætre Sem, Arnfinn Neverdal
Proc. ASME. MSEC2021, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T06A005, June 21–25, 2021
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2021-60412
https://doi.org/10.1115/MSEC2021-60412
View Paper titled, Investigating Optimal Parameter Combination for Friction Stir Spot Welding on AL7075-T6: Engineering Robust Design Approach
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Topics: Design, Friction, Welding
Proceedings Papers

On the Necessity for Minimizing Risk Based Technology Qualification Variability: An Application to Offshore Floating Wind Turbines

S. M. Samindi M. K. Samarakoon, R. M. Chandima Ratnayake
Proc. ASME. OMAE2020, Volume 2A: Structures, Safety, and Reliability, V02AT02A065, August 3–7, 2020
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2020-18139
https://doi.org/10.1115/OMAE2020-18139
View Paper titled, On the Necessity for Minimizing Risk Based Technology Qualification Variability: An Application to Offshore Floating Wind Turbines
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Topics: Floating wind turbines, Risk, Failure mechanisms, Mooring
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
Proceedings Papers

Challenges due to Welds Fabricated at a Close Proximity on Offshore Structures, Pipelines, and Piping: State of the Art

Sachin Bhardwaj, R. M. Chandima Ratnayake
Proc. ASME. OMAE2020, Volume 3: Materials Technology, V003T03A027, August 3–7, 2020
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2020-18586
https://doi.org/10.1115/OMAE2020-18586
View Paper titled, Challenges due to Welds Fabricated at a Close Proximity on Offshore Structures, Pipelines, and Piping: State of the Art
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Topics: Fitness-for-service, Offshore structures, Pipelines, Pipes, Residual stresses, 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
Proceedings Papers

An Ontology-Based Approach for Developing Offshore and Onshore Process Equipment Inspection Knowledge Base

Andika Rachman, R. M. Chandima Ratnayake
Proc. ASME. OMAE2019, Volume 3: Structures, Safety, and Reliability, V003T02A084, June 9–14, 2019
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2019-95478
https://doi.org/10.1115/OMAE2019-95478
View Paper titled, An Ontology-Based Approach for Developing Offshore and Onshore Process Equipment Inspection Knowledge Base
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Topics: Inspection, Ocean engineering, Ontologies
Proceedings Papers

Asset Integrity Control: Prioritization of Offshore Topside Flange Openings During Preventive Maintenance Shutdowns

R. M. Chandima Ratnayake
Proc. ASME. OMAE2019, Volume 3: Structures, Safety, and Reliability, V003T02A085, June 9–14, 2019
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2019-96576
https://doi.org/10.1115/OMAE2019-96576
View Paper titled, Asset Integrity Control: Prioritization of Offshore Topside Flange Openings During Preventive Maintenance Shutdowns
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Topics: Flanges, Maintenance, Ocean engineering, Inspection, Failure, Risk, Accidents, Crude oil, Nondestructive evaluation, Optical quality control
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

Risk-Based In-Service Inspection Framework for Offshore Concrete Wind Turbine Structures and Application of Fuzzy Inference System

S. M. Samindi M. K. Samarakoon, R. M. Chandima Ratnayake
Proc. ASME. OMAE2018, Volume 3: Structures, Safety, and Reliability, V003T02A056, June 17–22, 2018
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2018-78264
https://doi.org/10.1115/OMAE2018-78264
View Paper titled, Risk-Based In-Service Inspection Framework for Offshore Concrete Wind Turbine Structures and Application of Fuzzy Inference System
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Topics: Concretes, Ocean engineering, Risk-informed in-service inspection, Wind turbines, Inspection, Risk, In-service inspection, Offshore wind turbines, Risk assessment, Uncertainty
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
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

Integrity Assessment and Control of Offshore Topside Piping: An Expert System Based Approach

R. M. Chandima Ratnayake
Proc. ASME. OMAE2018, Volume 1: Offshore Technology, V001T01A053, June 17–22, 2018
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2018-78267
https://doi.org/10.1115/OMAE2018-78267
View Paper titled, Integrity Assessment and Control of Offshore Topside Piping: An Expert System Based Approach
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Topics: Expert systems, Ocean engineering, Pipes, Information Analysis Centers, Downtime, Engineering disciplines, Failure
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)