Smoothed-Particle Hydrodynamics: Comparison
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Please note this is a comparison between Version 3 by Lily Guo and Version 2 by Milan Toma.

Smoothed-particle hydrodynamics is a computational mesh-free Lagrangian method developed by Gingold, Monaghan, and Lucy in 1977, initially intended for use in astrophysics.

  • Smoothed-Particle Hydrodynamics
  • computational biology
  • fluid-structure interaction
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References

  1. Lucy, L. A numerical approach to the testing of the fission hypothesis. Astron. J. 1977, 82, 1013–1024.
  2. Gingold, R.; Monaghan, J. Smoothed particle hydrodynamics: Theory and application to non-spherical stars. Mon. Not. R. Astron. Soc. 1977, 181, 375–389.
  3. Ye, T.; Pan, D.; Huang, C.; Liu, M. Smoothed particle hydrodynamics (SPH) for complex fluid flows: Recent developments in methodology and applications. Phys. Fluids 2019, 31, 011301.
  4. Zhang, L.; Ademiloye, A.; Liew, K. Meshfree and Particle Methods in Biomechanics: Prospects and Challenges. Arch. Comput. Methods Eng. 2019, 26, 1547–1576.
  5. Toma, M. The Emerging Use of SPH in Biomedical Applications. Signif. Bioeng. Biosci. 2017, 1, SBB.000502.
  6. Durrwachter, J. Hemodynamics of the Left Ventricle: Validation of a Smoothed—Particle Hydrodynamics Fluid-Structure Interaction Model. Master’s Thesis, Georgia Institute of Technology, Atlanta, GA, USA, 2016.
  7. Toma, M.; Einstein, D.; Bloodworth, C.; Cochran, R.; Yoganathan, A.; Kunzelman, K. Fluid-Structure Interaction and Structural Analyses using a Comprehensive Mitral Valve Model with 3D Chordal Structure. Int. J. Numer. Methods Biomed. Eng. 2017, 33, e2815.
  8. Zhang, C.; Rezavand, M.; Hu, X. A Multi-Resolution SPH Method for Fluid-Structure Interactions. J. Comput. Phys. 2021, 429.
  9. Tang, D.; Yang, C.; Kobayashi, S.; Zheng, J.; Vito, R. Effect of stenosis asymmetry on blood flow and artery compression: A three-dimensional fluid-structure interaction model. Ann. Biomed. Eng. 2003, 31, 1182–1193.
  10. Tang, D.; Yang, C.; Kobayashi, S.; Ku, D. Steady flow and wall compression in stenotic arteries: A three-dimensional thick-wall model with fluid–wall interactions. J. Biomech. Eng. 2001, 123, 548–557.
  11. Downing, J.M.; Ku, D.N. Effects of Frictional Losses and Pulsatile Flow on the Collapse of Stenotic Arteries. J. Biomech. Eng. 1997, 119, 317–324.
  12. Yamaguchi, T.; Kobayashi, T.; Liu, H. Fluid-wall interactions in the collapse and ablation of an atheromatous plaque in coronary arteries. In Proceedings of the Third World Congress of Biomechanics, Sapporo, Japan, 2–8 August 1998; p. 20b.
  13. Yamaguchi, T.; Furuta, N.; Nakayama, T.; Kobayashi, T. Computations of the fluid and wall mechanical interactions in arterial diseases. In Proceedings of the 1995 ASME International Mechanical Congress and Exposition, San Francisco, CA, USA, 12–17 November 1995; pp. 197–198.
  14. Yamaguchi, T.; Nakayama, T.; Kobayashi, T. Computations of the wall mechanical response under unsteady flows in arterial diseases. Adv. Bioeng. 1996, 33, 369–370.
  15. Bathe, M.; Kamm, R. A fluid-structure interaction finite element analysis of pulsatile blood flow through a compliant stenotic artery. J. Biomech. Eng. 1999, 121, 361–369.
  16. Wong, K.; Fong, F.; Wang, D. Computational evaluation of smoothed particle hydrodynamics for implementing blood flow modelling through CT reconstructed arteries. J.-Ray Sci. Technol. 2017, 25, 213–232.
  17. Nasar, A. Eulerian and Lagrangian Smoothed Particle Hydrodynamics as Models for the Interaction of Fluids and Flexible Structures in Biomedical Flows. Ph.D. Thesis, The University of Manchester (United Kingdom), PQDT-UK & Ireland, Manchester, UK, 2016.
  18. Yang, C.; Tang, D.; Atluri, S. Patient-specific carotid plaque progression simulation using 3D meshless generalized finite difference models with fluid–structure interactions based on serial in vivo MRI data. Comput. Model. Eng. Sci. 2011, 72, 53–77.
  19. Chui, Y.P.; Heng, P.A. A meshless rheological model for blood-vessel interaction in endovascular simulation. Prog. Biophys. Mol. Biol. 2010, 103, 252–261.
  20. Al-Saad, M.; Suarez, C.; Obeidat, A.; Bordas, S.; Kulasegaram, S. Application of Smooth Particle Hydrodynamics Method for Modelling Blood Flow with Thrombus Formation. Comput. Model. Eng. Sci. 2020, 122, 831–862.
  21. Toma, M.; Bloodworth, C.; Einstein, D.; Pierce, E.; Cochran, R.; Yoganathan, A.; Kunzelman, K. High-resolution subject-specific mitral valve imaging and modeling: Experimental and computational methods. Biomech. Model. Mechanobiol. 2016, 15, 1619–1630.
  22. Toma, M.; Jensen, M.; Einstein, D.; Yoganathan, A.; Cochran, R.; Kunzelman, K. Fluid-Structure Interaction Analysis of Papillary Muscle Forces Using a Comprehensive Mitral Valve Model with 3D Chordal Structure. Ann. Biomed. Eng. 2016, 44, 942–953.
  23. Mao, W.; Caballero, A.; Kodali, S.; Sun, W. Fully-coupled fluid-structure interaction simulation of the aortic and mitral valves in a realistic 3D left ventricle model. PLoS ONE 2017, 12, e0184729.
  24. Caballero, A.; Mao, W.; McKay, R.; Primiano, C.; Hashim, S.; Wei, S. New insights into mitral heart valve prolapse after chordae rupture through fluid—Structure interaction computational modeling. Sci. Rep. 2018, 8, 17306.
  25. Mao, W.; Caballero, A.; Hahn, R.; Sun, W. Comparative quantification of primary mitral regurgitation by computer modeling and simulated echocardiography. Am. J. Physiol. Heart Circ. Physiol. 2020, 318, H547–H557.
  26. Toma, M.; Bloodworth, C.; Pierce, E.; Einstein, D.; Cochran, R.; Yoganathan, A.; Kunzelman, K. Fluid-Structure Interaction Analysis of Ruptured Mitral Chordae Tendineae. Ann. Biomed. Eng. 2017, 45, 619–631.
  27. Biffi, B.; Gritti, M.; Grasso, A.; Milano, E.; Fontana, M.; Alkareef, H.; Davar, J.; Jeetley, P.; Whelan, C.; Anderson, S.; et al. A workflow for patient-specific fluid–structure interaction analysis of the mitral valve: A proof of concept on a mitral regurgitation case. Med. Eng. Phys. 2019, 74, 153–161.
  28. Toma, M.; Einstein, D.; Kohli, K.; Caroll, S.; Bloodworth, C.; Cochran, R.; Kunzelman, K.; Yoganathan, A. Effect of Edge-to-Edge Mitral Valve Repair on Chordal Strain: Fluid-Structure Interaction Simulations. Biology 2020, 9, 173.
  29. Toma, M.; Einstein, D.; Bloodworth, C.; Kohli, K.; Cochran, R.; Kunzelman, K.; Yoganathan, A. Fluid-Structure Interaction Analysis of Subject-Specific Mitral Valve Regurgitation Treatment with an Intra-valvular Spacer. Prosthesis 2020, 2, 7.
  30. Caballero, A.; Mao, W.; McKay, R.; Hahn, R.; Sun, W. A Comprehensive Engineering Analysis of Left Heart Dynamics After MitraClip in a Functional Mitral Regurgitation Patient. Front. Physiol. 2020, 11, 432.
  31. Caballero, A.; Mao, W.; McKay, R.; Wei, S. Transapical mitral valve repair with neochordae implantation: FSI analysis of neochordae number and complexity of leaflet prolapse. Int. J. Numer. Methods Biomed. Eng. 2019, 36, e3297.
  32. Singh-Gryzbon, S.; Sadri, V.; Toma, M.; Pierce, E.; Wei, Z.; Yoganathan, A. Development of a Computational Method for Simulating Tricuspid Valve Dynamics. Ann. Biomed. Eng. 2019, 47, 1422–1434.
  33. Mao, W.; Li, K.; Sun, W. Fluid—Structure interaction study of transcatheter aortic valve dynamics using smoothed particle hydrodynamics. Cardiovasc. Eng. Technol. 2016, 7, 374–388.
  34. Caballero, A.; Mao, W.; McKay, R.; Wei, S. The impact of balloon-expandable transcatheter aortic valve replacement on concomitant mitral regurgitation: A comprehensive computational analysis. J. R. Soc. Interface 2019, 16, 20190355.
  35. Caballero, A.; Mao, W.; McKay, R.; Sun, W. The Impact of Self-Expandable Transcatheter Aortic Valve Replacement on Concomitant Functional Mitral Regurgitation: A Comprehensive Engineering Analysis. Struct. Heart 2020, 4, 179–191.
  36. Dabiri, Y.; Yao, Y.; Sack, K.; Kassab, G.; Guccione, J. Tricuspid valve regurgitation decreases after mitraclip implantation: Fluid structure interaction simulation. Mech. Res. Commun. 2019, 97, 96–100.
  37. Yuan, Q.; Ye, X. A New Way to Simulate the Fluid Structure Interaction between the Bioprosthetic Heart Valve and Blood: FE-SPH Method; Mechanical Science and Engineering IV; Trans Tech Publications Ltd.: Stafa-Zurich, Switzerland, 2014; Volume 472, pp. 125–130.
  38. Marom, G. Numerical Methods for Fluid–Structure Interaction Models of Aortic Valves. Arch. Comput. Methods Eng. 2015, 22, 595–620.
  39. Toma, M.; Nguyen, P. Fluid-structure interaction analysis of cerebrospinal fluid with a comprehensive head model subject to a rapid acceleration and deceleration. Brain Inj. 2018, 32, 1576–1584.
  40. Duckworth, H.; Ghajari, M. Modelling Brain Biomechanics Using a Hybrid Smoothed Particle Hydrodynamics and Finite Element Model; Ohio State University Injury Biomechanics Symposium: Columbus, OH, USA, 2019.
  41. Wilhelm, J.; Ptak, M.; Fernandes, F.; Kubicki, K.; Kwiatkowski, A.; Ratajczak, M.; Sawicki, M.; Szarek, D. Injury Biomechanics of a Child’s Head: Problems, Challenges and Possibilities with a New aHEAD Finite Element Model. Appl. Sci. 2020, 10, 4467.
  42. Toma, M.; Dehesa-Baeza, A.; Chan-Akeley, R.; Nguyen, P.; Zwibel, H. Cerebrospinal Fluid Interaction with Cerebral Cortex during Pediatric Abusive Head Trauma. J. Pediatr. Neurol. 2020, 18, 223–230.
  43. Toma, M.; Chan-Akeley, R.; Lipari, C.; Kuo, S.H. Mechanism of Coup and Contrecoup Injuries Induced by a Knock-Out Punch. J. Math. Comput. Appl. 2020, 25, 22.
  44. Toma, M.; Nguyen, P. Coup-contrecoup brain injury: Fluid-structure interaction simulations. Int. J. Crashworth. 2020, 25, 175–182.
  45. Toma, M. Predicting Concussion Symptoms Using Computer Simulations. Adv. Intell. Syst. Comput. 2019, 880, 557–568.
  46. Toma, M.; Kuo, S. Computational Assessment of Risk of Subdural Hematoma Associated with Ventriculoperitoneal Shunt Placement. Lect. Notes Comput. Vis. Biomech. 2020, 36, 36–47.
  47. Kwon, E.; Singh, M.; Vallabh, R.; Das, R.; Taylor, M.; Fernandez, J. Modelling ballistic cranial injury and backspatter using smoothed particle hydrodynamics. Comput. Methods Biomech. Biomed. Eng. Imaging Vis. 2018.
  48. Ho, A.; Tsou, L.; Green, S.; Fels, S. A 3D swallowing simulation using smoothed particle hydrodynamics. Comput. Methods Biomech. Biomed. Eng. Imaging Vis. 2014, 2, 237–244.
  49. Harrison, S.; Eyres, G.; Cleary, P.; Sinnott, M.; Delahunty, C.; Lundin, L. Computational Modeling of Food Oral Breakdown Using Smoothed Particle Hydrodynamics. J. Texture Stud. 2014, 45, 97–109.
  50. Brandstaeter, S.; Fuchs, S.; Aydin, R.; Cyron, C. Mechanics of the stomach: A review of an emerging field of biomechanics. GAMM-Mitteilungen 2019, 42, e201900001.
  51. Sinnott, M.; Cleary, P.; Harrison, S. Peristaltic transport of a particulate suspension in the small intestine. Appl. Math. Model. 2017, 44, 143–159.
  52. Harrison, S.; Cohen, R.; Cleary, P.; Barris, S.; Rose, G. A coupled biomechanical-Smoothed Particle Hydrodynamics model for predicting the loading on the body during elite platform diving. Appl. Math. Model. 2016, 40, 3812–3831.
  53. Harrison, S.; Cleary, P.; Cohen, R. Dynamic simulation of flat water kayaking using a coupled biomechanical-smoothed particle hydrodynamics model. Hum. Mov. Sci. 2019, 64, 252–273.
  54. Fernandez, J.W.; Das, R.; Cleary, P.W.; Hunter, P.J.; Thomas, C.D.L.; Clement, J.G. Using smooth particle hydrodynamics to investigate femoral cortical bone remodelling at the Haversian level. Int. J. Numer. Methods Biomed. Eng. 2013, 29, 129–143.
  55. Frissane, H.; Taddei, L.; Lebaal, N.; Roth, S. SPH modeling of high velocity impact into ballistic gelatin. Development of an axis-symmetrical formulation. Mech. Adv. Mater. Struct. 2019, 26, 1881–1888.
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