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Journal Articles

Machine Learning Modeling for Predicting Tensile Strain Capacity of Pipelines and Identifying Key Factors

Dong-Yeob Park
Journal: Journal of Pressure Vessel Technology
Publisher: ASME
Article Type: Research-Article
J. Pressure Vessel Technol. December 2024, 146(6): 061504.
Paper No: PVT-24-1068
https://doi.org/10.1115/1.4066675
Published Online: October 23, 2024
View Article titled, Machine Learning Modeling for Predicting Tensile Strain Capacity of Pipelines and Identifying Key Factors
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Topics: Algorithms, Artificial neural networks, Machine learning, Modeling, Pipelines
Journal Articles

Dynamic Behavior of Rectangular Tanks with Limited Freeboard Under Seismic Loads: Experimental, Analytical and Machine Learning Investigations

Accepted Manuscript
Shayan Khosravi, Sina Amirsardari, Mohammad Ali Goudarzi
Journal: Journal of Pressure Vessel Technology
Publisher: ASME
Article Type: Research-Article
J. Pressure Vessel Technol.
Paper No: PVT-24-1129
https://doi.org/10.1115/1.4066967
Published Online: October 23, 2024
View Article titled, Dynamic Behavior of Rectangular Tanks with Limited Freeboard Under Seismic Loads: Experimental, Analytical and Machine Learning Investigations
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Topics: Concretes, Damage, Design, Dynamic analysis, Earthquakes, Engineering design processes, Fire, Fluids, Geometry, Leakage
Journal Articles

Implementation of Machine Learning Algorithms for Prediction of Fluidelastic Instability in Tube Arrays

Joaquin E. Moran, Yasser Selima
Journal: Journal of Pressure Vessel Technology
Publisher: ASME
Article Type: Technical Briefs
J. Pressure Vessel Technol. April 2021, 143(2): 024502.
Paper No: PVT-20-1075
https://doi.org/10.1115/1.4049876
Published Online: February 15, 2021
View Article titled, Implementation of Machine Learning Algorithms for Prediction of Fluidelastic Instability in Tube Arrays
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Topics: Algorithms, Flow (Dynamics), Machine learning, Two-phase flow, Fluids, Damping