The Experts below are selected from a list of 870 Experts worldwide ranked by ideXlab platform
Donald P. Gaver - One of the best experts on this subject based on the ideXlab platform.
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Biofluid Mechanics of Special Organs and the Issue of System Control
Annals of Biomedical Engineering, 2010Co-Authors: Mair Zamir, James E. Moore, Hideki Fujioka, Donald P. GaverAbstract:In the field of fluid flow within the human body, focus has been placed on the transportation of blood in the systemic circulation since the discovery of that system; but, other fluids and fluid flow phenomena pervade the body. Some of the most fascinating fluid flow phenomena within the human body involve fluids other than blood and a service other than transport—the lymphatic and pulmonary systems are two striking examples. While transport is still involved in both cases, this is not the only service which they provide and blood is not the only fluid involved. In both systems, filtration, extraction, enrichment, and in general some “treatment” of the fluid itself is the primary function. The study of the systemic circulation has also been conventionally limited to treating the system as if it were an open-loop system governed by the laws of fluid Mechanics alone, independent of physiological controls and regulations. This implies that system failures can be explained fully in terms of the laws of fluid Mechanics, which of course is not the case. In this paper we examine the clinical implications of these issues and of the special Biofluid Mechanics issues involved in the lymphatic and pulmonary systems.
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Biofluid Mechanics of the Pulmonary System
Annals of Biomedical Engineering, 2005Co-Authors: Chris D. Bertram, Donald P. GaverAbstract:Presents an overview of leading areas of discovery in Biofluid Mechanics related to the pulmonary system, with particular reference to the airways. Areas briefly reviewed include airway gas dynamics, impedance studies, collapsible-tube studies, and airway liquid studies. Emphasis is placed on promising further directions, such as analysis of interacting fluid-mechanical or fluid-structure phenomena, multi-scale modeling across widely varying length and time scales, and integration of advanced simulations into respiratory investigation and pulmonary medicine.
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Biofluid Mechanics of the Pulmonary System
Annals of Biomedical Engineering, 2005Co-Authors: Chris D. Bertram, Donald P. GaverAbstract:Presents an overview of leading areas of discovery in Biofluid Mechanics related to the pulmonary system, with particular reference to the airways. Areas briefly reviewed include airway gas dynamics, impedance studies, collapsible-tube studies, and airway liquid studies. Emphasis is placed on promising further directions, such as analysis of interacting fluid-mechanical or fluid-structure phenomena, multi-scale modeling across widely varying length and time scales, and integration of advanced simulations into respiratory investigation and pulmonary medicine.
Mary D. Frame - One of the best experts on this subject based on the ideXlab platform.
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Chapter 14 – In Silico Biofluid Mechanics
Biofluid Mechanics, 2015Co-Authors: David A. Rubenstein, Wei Yin, Mary D. FrameAbstract:In this chapter, we begin the discussion of how computational methods can be used to study various Biofluid Mechanics problems. We begin by presenting various computational methods, such as the large eddy simulations and direct numerical simulations. The use of various computational programs is illustrated with a diverging channel and then the human left main coronary artery. We then move into a discussion of the need for and the difficulty of fluid structure interaction modeling, in which the movement of blood vessels can be coupled to the fluid flow through the blood vessel. Particle trajectories and the calculation of the shear history on particles are presented. The development of the Buckingham Pi Theorem is discussed, to derive salient dimensionless numbers. Some of the important dimensionless numbers for Biofluid Mechanics are presented. These numbers can be used to develop dynamically similar conditions.
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chapter 14 in silico Biofluid Mechanics
Biofluid Mechanics (Second Edition)#R##N#An Introduction to Fluid Mechanics Macrocirculation and Microcirculation, 2015Co-Authors: David A. Rubenstein, Wei Yin, Mary D. FrameAbstract:In this chapter, we begin the discussion of how computational methods can be used to study various Biofluid Mechanics problems. We begin by presenting various computational methods, such as the large eddy simulations and direct numerical simulations. The use of various computational programs is illustrated with a diverging channel and then the human left main coronary artery. We then move into a discussion of the need for and the difficulty of fluid structure interaction modeling, in which the movement of blood vessels can be coupled to the fluid flow through the blood vessel. Particle trajectories and the calculation of the shear history on particles are presented. The development of the Buckingham Pi Theorem is discussed, to derive salient dimensionless numbers. Some of the important dimensionless numbers for Biofluid Mechanics are presented. These numbers can be used to develop dynamically similar conditions.
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Chapter 15 – In Vitro Biofluid Mechanics
Biofluid Mechanics, 2015Co-Authors: David A. Rubenstein, Wei Yin, Mary D. FrameAbstract:In this chapter, we present some of the common techniques used for in vitro Biofluid Mechanics experiments. This includes various particle imaging techniques and various viscometry techniques. The mathematical relationships that are critical during these experiments are described. Also, the equipment necessary to conduct these experiments is discussed. Inherent difficulties and limitations with these techniques are highlighted.
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chapter 15 in vitro Biofluid Mechanics
Biofluid Mechanics (Second Edition)#R##N#An Introduction to Fluid Mechanics Macrocirculation and Microcirculation, 2015Co-Authors: David A. Rubenstein, Wei Yin, Mary D. FrameAbstract:In this chapter, we present some of the common techniques used for in vitro Biofluid Mechanics experiments. This includes various particle imaging techniques and various viscometry techniques. The mathematical relationships that are critical during these experiments are described. Also, the equipment necessary to conduct these experiments is discussed. Inherent difficulties and limitations with these techniques are highlighted.
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Chapter 16 – In Vivo Biofluid Mechanics
Biofluid Mechanics, 2015Co-Authors: David A. Rubenstein, Wei Yin, Mary D. FrameAbstract:In this chapter, we discuss a handful of techniques that can be used during in vivo Biofluid Mechanics experiments. These include intravital microscopy, ultrasound technology, and magnetic resonance imaging. The experimental setups of each of these measurement techniques are described along with some of the mathematics that are salient to the design of these systems. Limitations of each of these techniques are presented.
David A. Rubenstein - One of the best experts on this subject based on the ideXlab platform.
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Chapter 14 – In Silico Biofluid Mechanics
Biofluid Mechanics, 2015Co-Authors: David A. Rubenstein, Wei Yin, Mary D. FrameAbstract:In this chapter, we begin the discussion of how computational methods can be used to study various Biofluid Mechanics problems. We begin by presenting various computational methods, such as the large eddy simulations and direct numerical simulations. The use of various computational programs is illustrated with a diverging channel and then the human left main coronary artery. We then move into a discussion of the need for and the difficulty of fluid structure interaction modeling, in which the movement of blood vessels can be coupled to the fluid flow through the blood vessel. Particle trajectories and the calculation of the shear history on particles are presented. The development of the Buckingham Pi Theorem is discussed, to derive salient dimensionless numbers. Some of the important dimensionless numbers for Biofluid Mechanics are presented. These numbers can be used to develop dynamically similar conditions.
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chapter 14 in silico Biofluid Mechanics
Biofluid Mechanics (Second Edition)#R##N#An Introduction to Fluid Mechanics Macrocirculation and Microcirculation, 2015Co-Authors: David A. Rubenstein, Wei Yin, Mary D. FrameAbstract:In this chapter, we begin the discussion of how computational methods can be used to study various Biofluid Mechanics problems. We begin by presenting various computational methods, such as the large eddy simulations and direct numerical simulations. The use of various computational programs is illustrated with a diverging channel and then the human left main coronary artery. We then move into a discussion of the need for and the difficulty of fluid structure interaction modeling, in which the movement of blood vessels can be coupled to the fluid flow through the blood vessel. Particle trajectories and the calculation of the shear history on particles are presented. The development of the Buckingham Pi Theorem is discussed, to derive salient dimensionless numbers. Some of the important dimensionless numbers for Biofluid Mechanics are presented. These numbers can be used to develop dynamically similar conditions.
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Chapter 15 – In Vitro Biofluid Mechanics
Biofluid Mechanics, 2015Co-Authors: David A. Rubenstein, Wei Yin, Mary D. FrameAbstract:In this chapter, we present some of the common techniques used for in vitro Biofluid Mechanics experiments. This includes various particle imaging techniques and various viscometry techniques. The mathematical relationships that are critical during these experiments are described. Also, the equipment necessary to conduct these experiments is discussed. Inherent difficulties and limitations with these techniques are highlighted.
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chapter 15 in vitro Biofluid Mechanics
Biofluid Mechanics (Second Edition)#R##N#An Introduction to Fluid Mechanics Macrocirculation and Microcirculation, 2015Co-Authors: David A. Rubenstein, Wei Yin, Mary D. FrameAbstract:In this chapter, we present some of the common techniques used for in vitro Biofluid Mechanics experiments. This includes various particle imaging techniques and various viscometry techniques. The mathematical relationships that are critical during these experiments are described. Also, the equipment necessary to conduct these experiments is discussed. Inherent difficulties and limitations with these techniques are highlighted.
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Chapter 16 – In Vivo Biofluid Mechanics
Biofluid Mechanics, 2015Co-Authors: David A. Rubenstein, Wei Yin, Mary D. FrameAbstract:In this chapter, we discuss a handful of techniques that can be used during in vivo Biofluid Mechanics experiments. These include intravital microscopy, ultrasound technology, and magnetic resonance imaging. The experimental setups of each of these measurement techniques are described along with some of the mathematics that are salient to the design of these systems. Limitations of each of these techniques are presented.
Jay D. Humphrey - One of the best experts on this subject based on the ideXlab platform.
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Some Exact Solutions
An Introduction to Biomechanics, 2015Co-Authors: Jay D. Humphrey, Sherry L. O’rourkeAbstract:The Navier-Stokes equations are the most famous and perhaps the most important equations in fluid Mechanics. In Biofluid Mechanics, these equations can be used to compute the flow of air within the airways, the flow of blood in large vessels at sufficiently high shear rates, the flow of urine from the bladder, the flow of crystalloid perfusates in in vitro experiments, and so on. Because few analytical solutions are available, one must often resort to numerical methods to solve these important equations. Nonetheless, in this chapter, we will consider five important analytical solutions to the Navier-Stokes equations.
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A Computational Framework for Fluid-Solid-Growth Modeling in Cardiovascular Simulations
Computer methods in applied mechanics and engineering, 2009Co-Authors: C. Alberto Figueroa, Seungik Baek, Charles A. Taylor, Jay D. HumphreyAbstract:It is now well known that altered hemodynamics can alter the genes that are expressed by diverse vascular cells, which in turn plays a critical role in the ability of a blood vessel to adapt to new biomechanical conditions and governs the natural history of the progression of many types of disease. Fortunately, when taken together, recent advances in molecular and cell biology, in vivo medical imaging, bioMechanics, computational Mechanics, and computing power provide an unprecedented opportunity to begin to understand such hemodynamic effects on vascular biology, physiology, and pathophysiology. Moreover, with increased understanding will come the promise of improved designs for medical devices and clinical interventions. The goal of this paper, therefore, is to present a new computational framework that brings together recent advances in computational biosolid and Biofluid Mechanics that can exploit new information on the biology of vascular growth and remodeling as well as in vivo patient-specific medical imaging so as to enable realistic simulations of vascular adaptations, disease progression, and clinical intervention.
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A Framework for Fluid-Solid-Growth Modeling and its Application to Understanding the Enlargement of a Fusiform Aneurysm
ASME 2008 Summer Bioengineering Conference Parts A and B, 2008Co-Authors: Seungik Baek, C. Alberto Figueroa, Charles A. Taylor, Jay D. HumphreyAbstract:Blood vessels adapt in response to changes in their biomechanical and biochemical environment under various physiological and pathological conditions. While advances in computational hemodynamics and arterial wall Mechanics have been spectacular, such advances have been achieved separately; there is, therefore, a pressing need for coupling biosolid and Biofluid Mechanics within a computationally efficient framework to study effects of fluid-solid interactions (FSI) in growth and remodeling (G&R) of the vessel wall. Toward this end, we built a fluid-solid-growth (FSG) modeling framework [1] that incorporates four separate advances by our groups: bioMechanics of G&R [2], a coupled momentum method for FSI during a cardiac cycle [3], a theory of small on large for coupling G&R and FSI models [4], and improved approaches for modeling fluid boundary conditions in complex vascular systems [5]. Although the framework presented here is sufficiently general to apply to many different vascular adaptation problems, we first apply this framework to a fusiform aneurysm with a simple geometry.Copyright © 2008 by ASME
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Theory of small on large: Potential utility in computations of fluid–solid interactions in arteries
Computer Methods in Applied Mechanics and Engineering, 2007Co-Authors: Seungik Baek, R.l. Gleason, Kumbakonam R. Rajagopal, Jay D. HumphreyAbstract:Abstract Recent advances in medical imaging, computational methods, and bioMechanics promise to enable significant improvements in engineering-based decision making in vascular medicine, surgery, and training. To realize the potential of this approach, however, we must better synthesize the separate advances, particularly those in Biofluid Mechanics and arterial wall Mechanics. In this paper, we describe a method for exploiting the typically small deformations experienced by arteries during the cardiac cycle while retaining essential features of the complex nonlinear, anisotropic behavior of the wall relative to unloaded configurations. In particular, we show that the well-known theory of small deformations superimposed on large can facilitate computations of fluid–solid interactions by exploiting methods familiar in linearized elasticity without compromising the description of the nonlinear wall Mechanics. Indeed, the theory reveals potential errors when one simply tries to employ standard linearized results straight away. For purposes of illustration, small on large results are provided for the rabbit basilar artery and a constitutive relation for arteries recently proposed by Holzapfel and colleagues. It now remains for future studies to implement this approach in coupled fluid–solid problems.
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Towards a patient-specific modeling II: bioMechanics of a growing aneurysm
Medical Imaging 2006: Physiology Function and Structure from Medical Images, 2006Co-Authors: Seungik Baek, C. Alberto Figueroa, Charles A. Taylor, Jay D. HumphreyAbstract:Recent advances in medical imaging, computational methods, and bioMechanics hold great promise for engineering-based decision making in clinical practice. Towards patient-specific modeling, however, we need to synthesize better the separate advances in computational Biofluid Mechanics and arterial wall Mechanics. In this paper, we propose a mathematical model of growing fusiform aneurysms that is able to test multiple competing hypotheses with regard to the production, removal, and organization of intramural collagen, and thus to predict their consequences in enlargement and changes in material properties of the lesion. To apply this model to realistic cases, including fluid-solid interactions, we also need to develop a method to exploit current advances in computational Biofluid Mechanics. Thus, we describe a method to represent highly nonlinear and anisotropic material behaviors within a linearized constitutive equation commonly employed in fluid-structure simulations of blood flow in deformable arteries.
Wei Yin - One of the best experts on this subject based on the ideXlab platform.
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Chapter 14 – In Silico Biofluid Mechanics
Biofluid Mechanics, 2015Co-Authors: David A. Rubenstein, Wei Yin, Mary D. FrameAbstract:In this chapter, we begin the discussion of how computational methods can be used to study various Biofluid Mechanics problems. We begin by presenting various computational methods, such as the large eddy simulations and direct numerical simulations. The use of various computational programs is illustrated with a diverging channel and then the human left main coronary artery. We then move into a discussion of the need for and the difficulty of fluid structure interaction modeling, in which the movement of blood vessels can be coupled to the fluid flow through the blood vessel. Particle trajectories and the calculation of the shear history on particles are presented. The development of the Buckingham Pi Theorem is discussed, to derive salient dimensionless numbers. Some of the important dimensionless numbers for Biofluid Mechanics are presented. These numbers can be used to develop dynamically similar conditions.
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chapter 14 in silico Biofluid Mechanics
Biofluid Mechanics (Second Edition)#R##N#An Introduction to Fluid Mechanics Macrocirculation and Microcirculation, 2015Co-Authors: David A. Rubenstein, Wei Yin, Mary D. FrameAbstract:In this chapter, we begin the discussion of how computational methods can be used to study various Biofluid Mechanics problems. We begin by presenting various computational methods, such as the large eddy simulations and direct numerical simulations. The use of various computational programs is illustrated with a diverging channel and then the human left main coronary artery. We then move into a discussion of the need for and the difficulty of fluid structure interaction modeling, in which the movement of blood vessels can be coupled to the fluid flow through the blood vessel. Particle trajectories and the calculation of the shear history on particles are presented. The development of the Buckingham Pi Theorem is discussed, to derive salient dimensionless numbers. Some of the important dimensionless numbers for Biofluid Mechanics are presented. These numbers can be used to develop dynamically similar conditions.
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Chapter 15 – In Vitro Biofluid Mechanics
Biofluid Mechanics, 2015Co-Authors: David A. Rubenstein, Wei Yin, Mary D. FrameAbstract:In this chapter, we present some of the common techniques used for in vitro Biofluid Mechanics experiments. This includes various particle imaging techniques and various viscometry techniques. The mathematical relationships that are critical during these experiments are described. Also, the equipment necessary to conduct these experiments is discussed. Inherent difficulties and limitations with these techniques are highlighted.
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chapter 15 in vitro Biofluid Mechanics
Biofluid Mechanics (Second Edition)#R##N#An Introduction to Fluid Mechanics Macrocirculation and Microcirculation, 2015Co-Authors: David A. Rubenstein, Wei Yin, Mary D. FrameAbstract:In this chapter, we present some of the common techniques used for in vitro Biofluid Mechanics experiments. This includes various particle imaging techniques and various viscometry techniques. The mathematical relationships that are critical during these experiments are described. Also, the equipment necessary to conduct these experiments is discussed. Inherent difficulties and limitations with these techniques are highlighted.
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Chapter 16 – In Vivo Biofluid Mechanics
Biofluid Mechanics, 2015Co-Authors: David A. Rubenstein, Wei Yin, Mary D. FrameAbstract:In this chapter, we discuss a handful of techniques that can be used during in vivo Biofluid Mechanics experiments. These include intravital microscopy, ultrasound technology, and magnetic resonance imaging. The experimental setups of each of these measurement techniques are described along with some of the mathematics that are salient to the design of these systems. Limitations of each of these techniques are presented.