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Utilizing Artificial Neural Network for Load Prediction Caused by Fluid Sloshing in Tanks.

• Authors : Chegini, Hossein Goudarzvand¹ (AUTHOR); Zarepour, Gholamreza² (AUTHOR)

• Source: Geofluids. 9/9/2021, p1-17. 17p. 2 Charts, 17 Graphs.

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SIMULATION OF FLUID SLOSHING FOR DECREASING THE RESPONSE OF STRUCTURAL SYSTEMS

• Authors : VURUSKAN, Ilker; Sert, Cüneyt; Ozer, Mehmet Bulent

Subjects: Fluids; Simulation; Sloshing

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Dynamic analysis of a coupled fluid structure problem with fluid sloshing

• Authors : Sigrist, Jean-François; Lainé, Christian; Peseux, Bernard ...

Subjects: Dynamic analysis; Fluids; SloshingSan Diego; United States

• Source: ISBN: 0791846849 ; ASME/JSME 2004 Pressure Vessels and Piping Conference ; https://hal.science/hal-01008082 ; ASME/JSME 2004 Pressure Vessels and Piping Conference, Jul 2004, San Diego, United

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Numerical Study of Rectangular Tank with Sloshing Fluid and Simulation of the Model Using a Machine Learning Method.

• Authors : Chegini, Hossein Goudarzvand¹ (AUTHOR); Zarepour, Gholamreza² (AUTHOR)

• Source: Geofluids. 4/11/2022, p1-13. 13p. 5 Diagrams, 2 Charts, 9 Graphs.

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Influence of Seismic Isolation Systems on Behavior of Fluid inside Thin-walled Steel Tanks.

• Authors : Jamalvandi, M.¹ ; Amiri, M.¹

Subjects: *STEEL tanks; *BASE isolation system; *SEISMIC response

• Source: Jordan Journal of Civil Engineering. 2021, Vol. 15 Issue 4, p534-550. 17p.

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Physically sound, self-learning digital twins for sloshing fluids.

• Authors : Moya, Beatriz¹ (AUTHOR); Alfaro, Iciar¹ (AUTHOR); Gonzalez, David¹ (AUTHOR)

Subjects: *FLUIDS; *AUGMENTED reality; *FORECASTING

• Source: PLoS ONE. 6/16/2020, Vol. 15 Issue 6, p1-16. 16p.

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Modal reduction method for vibrational analysis of structures partially filled with internal liquids

• Authors : Schotté, Jean-Sébastien; Ohayon, Roger;

Subjects: Aircraft; Degrees of freedom; Finite element methodsLong Beach; California; United States

• Source: ASME 2005 International Design Engineering Technical Conferences, IDETC 2005 ; https://hal.science/hal-03179558 ; ASME 2005 International Design Engineering Technical Conferences, IDETC 2005, Sep

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Physically sound, self-learning digital twins for sloshing fluids

• Authors : Beatriz Moya; Francisco Chinesta; Elías Cueto ...

Subjects: Computer Vision; Twins; Social Sciences

• Source: PLoS ONEPLoS ONE, Public Library of Science, 2020, 15 (6), pp.1-15. ⟨10.1371/journal.pone.0234569⟩Zaguán. Repositorio Digital de la Universidad de ZaragozainstnameZaguán:

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