Onate et al 2014e - Revision history

Cinmemj at 11:59, 14 June 2019

2019-06-14T11:59:19Z

Cinmemj at 13:23, 3 June 2019

2019-06-03T13:23:34Z

Cinmemj at 11:35, 29 April 2019

2019-04-29T11:35:56Z

Cinmemj at 11:34, 29 April 2019

2019-04-29T11:34:28Z

Cinmemj at 11:32, 29 April 2019

2019-04-29T11:32:48Z

Cinmemj at 11:32, 29 April 2019

2019-04-29T11:32:15Z

Cinmemj: Cinmemj moved page Draft Samper 264539605 to Onate et al 2014e

2018-04-09T12:02:09Z

Cinmemj moved page Draft Samper 264539605 to Onate et al 2014e

Cinmemj at 11:58, 9 April 2018

2018-04-09T11:58:32Z

Cinmemj at 11:54, 9 April 2018

2018-04-09T11:54:56Z

Cinmemj at 11:54, 9 April 2018

2018-04-09T11:54:03Z

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-Published in ''Numerical Simulations of Coupled problems in Engineering'', S.R. Idelsohn (Ed.). Computational Methods in Applied Sciences 33, pp. 129-156, Springer 2014<br />
-DOI: 10.1007/978-3-319-06136-8
 ==Abstract==

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 We present a Lagrangian formulation for coupled thermal analysis of quasi and fully incompressible flows and fluid-structure interaction (FSI) problems that has excellent mass preservation features. The success of the formulation lays on  a  residual-based stabilized expression of the mass balance equation obtained using the Finite Calculus (FIC) method. The  governing equations are discretized with the FEM using simplicial elements with equal linear interpolation for the velocities, the pressure and the temperature. The merits of the formulation in terms of reduced mass loss and overall accuracy are verified in the solution of 2D and 3D adiabatic and thermally-coupled quasi-incompressible free-surface flow problems using the Particle Finite Element Method (PFEM). Examples include the sloshing of water in a tank and the falling  of a water sphere and a cylinder into a  tank containing water.
-'''keywords''' Particle Finite Element Method, Coupled Thermal Analysis, Quasi and Fully Incompressible
+'''Keywords''': Particle Finite Element Method, Coupled Thermal Analysis, Quasi and Fully Incompressible
 ==1 INTRODUCTION==

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-Published in''Numerical Simulations of Coupled problems in Engineering'', S.R. Idelsohn (Ed.). Computational Methods in Applied Sciences 33, pp. 129-156, Springer 2014<br />
+Published in ''Numerical Simulations of Coupled problems in Engineering'', S.R. Idelsohn (Ed.). Computational Methods in Applied Sciences 33, pp. 129-156, Springer 2014<br />
 DOI: 10.1007/978-3-319-06136-8
 ==Abstract==

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 Published in''Numerical Simulations of Coupled problems in Engineering'', S.R. Idelsohn (Ed.). Computational Methods in Applied Sciences 33, pp. 129-156, Springer 2014<br />
 DOI: 10.1007/978-3-319-06136-8
 ==Abstract==

← Older revision		Revision as of 11:32, 29 April 2019
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−	Published in''Numerical Simulations of Coupled problems in Engineering'', S.R. Idelsohn (Ed.). Computational Methods in Applied Sciences 33, pp. 129-156, Springer 2014	+	Published in''Numerical Simulations of Coupled problems in Engineering'', S.R. Idelsohn (Ed.). Computational Methods in Applied Sciences 33, pp. 129-156, Springer 2014<br />
		+	DOI: 10.1007/978-3-319-06136-8
		+

← Older revision	Revision as of 12:02, 9 April 2018
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 | colspan="1" | '''Figure 4:''' 2D sloshing of water in rectangular tank. (a) Time evolution of the percentage of water volume loss  due to the numerical algorithm. (b) Average volume variation per time step. Current method. 1.09<math>\times 10^{-4}</math>% Fractional step: 2.07<math>\times 10^{-4}</math>%
 |}
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 | colspan="1" | '''Figure 6:''' 2D sloshing of water in rectangular tank. Time evolution of percentage of water volume loss obtained with the current method. Curve A: <math>\theta =1</math> and <math>\Delta t = 10^{-4}s</math>. Curve B: <math>\theta = 1</math> and <math>\Delta t = 10^{-3}s</math>
 |}
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 | colspan="1" | '''Figure 8:''' 3D analysis of sloshing of water in prismatic tank (<math>\theta = 1</math>). (a)  Time evolution of accumulated water volume loss (in percentage) due to the numerical algorithm. (b) Volume loss (in %) per time step over 2 seconds of analysis. Average volume loss per time step: 1.64<math>\times 10^{-4}</math>%
 |}
 <div id='img-9'></div>
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 | colspan="1" | '''Figure 11:''' Water sphere falling in a tank containing water. (a) Accumulated volume over three seconds of analysis due to the numerical algorithm (<math>\theta =1</math>). (b) Volume loss (in %) per time step. Average volume variation per time step: 2.54<math>\times 10^{-4}</math>%
 |}
 <div id='img-12'></div>
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 |}
 ===8.4 Falling of a cylindrical  object in a heated tank filled with fluid===

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