Implementation of the Moving Particle Semi-implicit method to predict the drag resistance coefficient on 2D

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dc.contributor.advisorGarcía Ruíz, Manuel Julio
dc.contributor.authorPérez Gutiérrez, Carlos Andrés
dc.coverage.spatialMedellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degreeseng
dc.creator.degreeDoctor in Engineeringspa
dc.creator.emailcarlosandrespgz@gmail.comspa
dc.date.accessioned2017-03-31T19:43:59Z
dc.date.available2017-03-31T19:43:59Z
dc.date.issued2016
dc.description.abstractA dam break problem and the flow around a 2D submerged body on different scenarios were solved with the original Moving Particle Semi-implicit (MPS) method proposed by Koshizuka and Oka in 1996 -- The results of this study showed that although the original method reproduces the free surface of the fluid on the dam break computation, it can not accurately compute the pressure distribution over the submerged bodies -- It was found that the free surface was inaccurate when negative pressures were present in the particle domain -- Also, when modelling the interaction of a solid immersed in a fluid, the simulation exhibited stability issues and solid penetration -- Several modifications of the original MPS were studied, implemented and tested -- This thesis proposes a modified Moving Particle Semi-implicit (MPS)method for modelling immerse bodies in an free surface flow -- The MPS method is based on the prediction-correction calculation of the velocity field based on the Helmhotz-Hodge decomposition -- Initially the predicted velocity is calculated based on the viscous and external forces terms and then corrected by the gradient of the pressure which is obtained by the solution of the Poisson Pressure’s equation – This thesis shows how small variations in the source term of the Poisson Pressure’s equation can destabilise or stabilise simulations -- One of the main result of this research is an improved stability by means of a reformulation of the Poisson Pressure equation and the aid of relaxation factors -- Also, the pressure gradient was computed for non free surface particles only -- The results show that, although pressure fluctuations were still present, good results were obtained when compared the drag coefficient to the reported values in the literaturespa
dc.identifier.local620.106CD P438I
dc.identifier.urihttp://hdl.handle.net/10784/11271
dc.language.isospaspa
dc.publisherUniversidad EAFITspa
dc.publisher.departmentEscuela de Ingenieríaspa
dc.publisher.programDoctorado en Ingenieríaspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesseng
dc.rights.localAcceso abiertospa
dc.subjectDescomposición Helmholtzspa
dc.subjectMétodo semi-implícito de partículas en movimientospa
dc.subject.keywordHydrodynamicsspa
dc.subject.keywordFluid dynamicsspa
dc.subject.keywordFinite element methodspa
dc.subject.keywordNavier-stokes equationsspa
dc.subject.keywordPoisson processesspa
dc.subject.keywordParallel programming (computer science)spa
dc.subject.keywordSimulation methodsspa
dc.subject.keywordParticlesspa
dc.subject.lembHIDRODINÁMICAspa
dc.subject.lembDINÁMICA DE FLUIDOSspa
dc.subject.lembMÉTODO DE ELEMENTOS FINITOSspa
dc.subject.lembECUACIONES DE NAVIER - STOKESspa
dc.subject.lembPROCESOS DE POISSONspa
dc.subject.lembPROGRAMACIÓN PARALELAspa
dc.subject.lembMÉTODOS DE SIMULACIÓNspa
dc.subject.lembPARTÍCULASspa
dc.titleImplementation of the Moving Particle Semi-implicit method to predict the drag resistance coefficient on 2Dspa
dc.typedoctoralThesiseng
dc.typeinfo:eu-repo/semantics/doctoralThesiseng
dc.type.hasVersionacceptedVersioneng
dc.type.localTesis Doctoralspa

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Doctorado en Ingeniería (tesis)