Recent Advances in Cardiovascular Flows

A special issue of Fluids (ISSN 2311-5521).

Deadline for manuscript submissions: 31 December 2025 | Viewed by 1723

Special Issue Editors


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Guest Editor
Mechanical Engineering Department, Embry-Riddle Aeronautical University, Daytona Beach, FL 32114, USA
Interests: biofluid mechanics; mathematical modeling; boundary element method; mesh reduction method; reduced-order modeling; volume of fluid; optimization schemes; numerical algorithms; multiphysics modeling; in silico and in vitro modeling techniques
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E-Mail Website
Guest Editor
Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL 32816, USA
Interests: biofluid mechanics; mathematical modeling; boundary element method; mesh reduction method; reduced-order modeling; volume of fluid; optimization schemes; numerical algorithms; in silico and in vitro modeling techniques
Special Issues, Collections and Topics in MDPI journals
Mechanical Engineering Department, Embry-Riddle Aeronautical University, Daytona Beach, FL 32114, USA
Interests: in vitro modeling; biofluid mechanics; experimental flow visualization and tracking techniques; 3D printing techniques; computer vision; instrumentation and controls; machine learning algorithms; multiphysics modeling
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Mechanical Engineering Department, Embry-Riddle Aeronautical University, Daytona Beach, FL 32114, USA
Interests: in silico modeling; computational fluid dynamics; large-eddy simulation; fluid–structure interaction; volume of fluid; biofluid mechanics; cardiovascular, congenital heart defects; multiscale modeling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recent advances in cardiovascular flows have revolutionized our understanding of the complex hemodynamics associated with the cardiovascular system. These advancements, made possible by advanced computational modeling and experimental techniques, have provided unprecedented insights into the intricate flow patterns within the heart and blood vessels. This newfound knowledge has significant implications for diagnosing and treating cardiovascular diseases, as well as developing more effective therapies. In addition to in-silico techniques, advancements in imaging and data acquisition technologies have greatly enhanced our ability to visualize and measure cardiovascular flows. Techniques such as magnetic resonance imaging (MRI), Doppler ultrasound, and particle image velocimetry (PIV) provide non-invasive means to capture high-resolution images and quantify the flow field. These imaging and data acquisition modalities have enabled researchers to map flow patterns, identify pathological flow conditions, and assess the efficacy of various interventions such as stents or bypass grafts on flow dynamics. This Special Issue of Fluids is dedicated to the recent advances of cardiovascular flows. This volume is intended to present groundbreaking research techniques and the latest advances in the realm of cardiovascular flows at the microscopic and macroscopic levels, under various degrees and typologies of pathologies. This issue will comprise original research as well as review articles.

Prof. Dr. Eduardo Divo
Prof. Dr. Alain Kassab
Dr. Arka Das
Dr. Ray Prather
Guest Editors

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Keywords

  • cardiovascular system
  • biofluid mechanics
  • hemodynamics
  • in-silico modeling
  • computational fluid dynamics
  • in-vitro modeling
  • flow visualization and tracking

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Published Papers (2 papers)

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Research

15 pages, 3667 KiB  
Article
Investigation of the Pulmonary Artery Hypertension Using an Ad Hoc OpenFOAM CFD Solver
by Francesco Duronio and Paola Marchetti
Fluids 2025, 10(1), 6; https://doi.org/10.3390/fluids10010006 - 29 Dec 2024
Viewed by 598
Abstract
Cardiovascular diseases are a group of disorders that affect the heart and blood vessels, representing a leading cause of death worldwide. With the help of computational fluid dynamics, it is possible to study the hemodynamics of the pulmonary arteries in detail and simulate [...] Read more.
Cardiovascular diseases are a group of disorders that affect the heart and blood vessels, representing a leading cause of death worldwide. With the help of computational fluid dynamics, it is possible to study the hemodynamics of the pulmonary arteries in detail and simulate various physiological conditions, thus offering numerous advantages over invasive analyses in the phases of diagnosis and surgical planning. Specifically, the aim of this study is the fluid dynamic analysis of the pulmonary artery, comparing the characteristics of the blood flow in a healthy subject with that of a patient affected by pulmonary arterial hypertension. We performed CFD simulations with the OpenFOAM C++ library using a purposely developed solver that features the Windkessel model as a pressure boundary condition. This methodology, scarcely applied in the past for this problem, allows for a proficient analysis and the detailed quantification of the most important fluid-dynamic parameters (flow velocity, pressure distribution, and wall shear stress (WSS)) with improved accuracy and resolution when compared with classical simulation and diagnostic techniques. We verified the validity of the adopted methodology in reproducing the blood flow by relying on experimental data. A detailed comparative analysis highlights the differences between healthy and pathological cases in hemodynamic terms. The outcomes of this work contribute to enlarging the knowledge of the blood flow characteristics in the human pulmonary artery, revealing substantial differences between the two clinical scenarios investigated and highlighting how arterial hypertension drastically changes the blood flow. The analysis of the data confirmed the importance of CFD as a supportive tool in understanding, diagnosing, and monitoring the pathophysiological mechanisms underlying cardiovascular diseases, proving to be a powerful means for personalizing surgical treatments. Full article
(This article belongs to the Special Issue Recent Advances in Cardiovascular Flows)
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13 pages, 1725 KiB  
Article
Intra-Cardiac Kinetic Energy and Ventricular Flow Analysis in Bicuspid Aortic Valve: Impact on Left Ventricular Function, Dilation Severity, and Surgical Referral
by Ali Fatehi Hassanabad and Julio Garcia
Fluids 2025, 10(1), 5; https://doi.org/10.3390/fluids10010005 - 27 Dec 2024
Viewed by 442
Abstract
Intra-cardiac kinetic energy (KE) and ventricular flow analysis (VFA), as derived from 4D-flow MRI, can be used to understand the physiological burden placed on the left ventricle (LV) due to bicuspid aortic valve (BAV). Our hypothesis was that the KE of each VFA [...] Read more.
Intra-cardiac kinetic energy (KE) and ventricular flow analysis (VFA), as derived from 4D-flow MRI, can be used to understand the physiological burden placed on the left ventricle (LV) due to bicuspid aortic valve (BAV). Our hypothesis was that the KE of each VFA component would impact the surgical referral outcome depending on LV function decrement, BAV phenotype, and aortic dilation severity. A total of 11 healthy controls and 49 BAV patients were recruited. All subjects underwent cardiac magnetic resonance imaging (MRI) examination. The LV mass was inferior in the controls than in the BAV patients (90 ± 26 g vs. 45 ± 17 g, p = 0.025), as well as the inferior ascending aorta diameter indexed (15.8 ± 2.5 mm/m2 vs. 19.3 ± 3.5 mm/m2, p = 0.005). The VFA KE was higher in the BAV group; significant increments were found for the maximum KE and mean KE in the VFA components (p < 0.05). A total of 14 BAV subjects underwent surgery after the scans. When comparing BAV nonsurgery vs. surgery-referred cohorts, the maximum KE and mean KE were elevated (p < 0.05). The maximum and mean KE were also associated with surgical referral (r = 0.438, p = 0.002 and r = 0.371, p = 0.009, respectively). In conclusion, the KE from VFA components significantly increased in BAV patients, including in BAV patients undergoing surgery. Full article
(This article belongs to the Special Issue Recent Advances in Cardiovascular Flows)
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