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ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering | 2013

Summary of Conclusions and Recommendations Drawn From the DeepCwind Scaled Floating Offshore Wind System Test Campaign

Amy Robertson; Jason Jonkman; Andrew J. Goupee; Alexander J. Coulling; Ian Prowell; James Browning; Marco Masciola; Paul Molta

The DeepCwind consortium is a group of universities, national labs, and companies funded under a research initiative by the U.S. Department of Energy (DOE) to support the research and development of floating offshore wind power. The two main objectives of the project are to better understand the complex dynamic behavior of floating offshore wind systems and to create experimental data for use in validating the tools used in modeling these systems. In support of these objectives, the DeepCwind consortium conducted a model test campaign in 2011 of three generic floating wind systems: a tension-leg platform (TLP), a spar-buoy (spar), and a semi-submersible (semi). Each of the three platforms was designed to support a 1/50th-scale model of a 5-MW wind turbine and was tested under a variety of wind/wave conditions.The focus of this paper is to summarize the work done by consortium members in analyzing the data obtained from the test campaign and its use for validating the offshore wind modeling tool, FAST.© 2013 ASME


Journal of Physics: Conference Series | 2014

Calibration and Validation of a Spar-Type Floating Offshore Wind Turbine Model using the FAST Dynamic Simulation Tool

James Browning; Jason Jonkman; Amy Robertson; Andrew J. Goupee

High-quality computer simulations are required when designing floating wind turbines because of the complex dynamic responses that are inherent with a high number of degrees of freedom and variable metocean conditions. In 2007, the FAST wind turbine simulation tool, developed and maintained by the U.S. Department of Energys (DOEs) National Renewable Energy Laboratory (NREL), was expanded to include capabilities that are suitable for modeling floating offshore wind turbines. In an effort to validate FAST and other offshore wind energy modeling tools, DOE funded the DeepCwind project that tested three prototype floating wind turbines at 1/50th scale in a wave basin, including a semisubmersible, a tension-leg platform, and a spar buoy. This paper describes the use of the results of the spar wave basin tests to calibrate and validate the FAST offshore floating simulation tool, and presents some initial results of simulated dynamic responses of the spar to several combinations of wind and sea states. Wave basin tests with the spar attached to a scale model of the NREL 5-megawatt reference wind turbine were performed at the Maritime Research Institute Netherlands under the DeepCwind project. This project included free-decay tests, tests with steady or turbulent wind and still water (both periodic and irregular waves with no wind), and combined wind/wave tests. The resulting data from the 1/50th model was scaled using Froude scaling to full size and used to calibrate and validate a full-size simulated model in FAST. Results of the model calibration and validation include successes, subtleties, and limitations of both wave basin testing and FAST modeling capabilities.


Pulmonary circulation | 2016

Main pulmonary arterial wall shear stress correlates with invasive hemodynamics and stiffness in pulmonary hypertension

Michal Schäfer; Vitaly O. Kheyfets; Joyce Schroeder; Jamie Dunning; Robin Shandas; J. Kern Buckner; James Browning; Jean Hertzberg; Kendall S. Hunter; Brett Fenster

Pulmonary hypertension (PH) is associated with proximal pulmonary arterial remodeling characterized by increased vessel diameter, wall thickening, and stiffness. In vivo assessment of wall shear stress (WSS) may provide insights into the relationships between pulmonary hemodynamics and vascular remodeling. We investigated the relationship between main pulmonary artery (MPA) WSS and pulmonary hemodynamics as well as markers of stiffness. As part of a prospective study, 17 PH patients and 5 controls underwent same-day four-dimensional flow cardiac magnetic resonance imaging (4-D CMR) and right heart catheterization. Streamwise velocity profiles were generated in the cross-sectional MPA in 45° increments from velocity vector fields determined by 4-D CMR. WSS was calculated as the product of hematocrit-dependent viscosity and shear rate generated from the spatial gradient of the velocity profiles. In-plane average MPA WSS was significantly decreased in the PH cohort compared with that in controls (0.18 ± 0.07 vs. 0.32 ± 0.08 N/m2; P = 0.01). In-plane MPA WSS showed strong inverse correlations with multiple hemodynamic indices, including pulmonary resistance (ρ = –0.74, P < 0.001), mean pulmonary pressure (ρ = –0.64, P = 0.006), and elastance (ρ = –0.70, P < 0.001). In addition, MPA WSS had significant associations with markers of stiffness, including capacitance (ρ = 0.67, P < 0.001), distensibility (ρ = 0.52, P = 0.013), and elastic modulus (ρ = –0.54, P = 0.01). In conclusion, MPA WSS is decreased in PH and is significantly associated with invasive hemodynamic indices and markers of stiffness. 4-D CMR-based assessment of WSS may represent a novel methodology to study blood-vessel wall interactions in PH.


Journal of Magnetic Resonance Imaging | 2016

4D magnetic resonance flow imaging for estimating pulmonary vascular resistance in pulmonary hypertension

Vitaly O. Kheyfets; Michal Schäfer; Chris A. Podgorski; Joyce D. Schroeder; James Browning; Jean Hertzberg; J. Kern Buckner; Kendal S. Hunter; Robin Shandas; Brett Fenster

To develop an estimate of pulmonary vascular resistance (PVR) using blood flow measurements from 3D velocity‐encoded phase contract magnetic resonance imaging (here termed 4D MRI).


Pulmonary circulation | 2016

Vorticity is a marker of diastolic ventricular interdependency in pulmonary hypertension.

Michal Schäfer; James Browning; Joyce Schroeder; Robin Shandas; Vitaly O. Kheyfets; J. Kern Buckner; Kendall S. Hunter; Jean Hertzberg; Brett Fenster

Our objective was to determine whether left ventricular (LV) vorticity (ω), the local spinning motion of a fluid element, correlated with markers of ventricular interdependency in pulmonary hypertension (PH). Maladaptive ventricular interdependency is associated with interventricular septal shift, impaired LV performance, and poor outcomes in PH patients, yet the pathophysiologic mechanisms underlying fluid-structure interactions in ventricular interdependency are incompletely understood. Because conformational changes in chamber geometry affect blood flow formations and dynamics, LV ω may be a marker of LV-RV (right ventricular) interactions in PH. Echocardiography was performed for 13 PH patients and 10 controls for assessment of interdependency markers, including eccentricity index (EI), and biventricular diastolic dysfunction, including mitral valve (MV) and tricuspid valve (TV) early and late velocities (E and A, respectively) as well as MV septal and lateral early tissue Doppler velocities (e′). Same-day 4-dimensional cardiac magnetic resonance was performed for LV E (early)-wave ω measurement. LV E-wave ω was significantly decreased in PH patients (P = 0.008) and correlated with diastolic EI (Rho = −0.53, P = 0.009) as well as with markers of LV diastolic dysfunction, including MV E(Rho = 0.53, P = 0.011), E/A (Rho = 0.56, P = 0.007), septal e′ (Rho = 0.63, P = 0.001), and lateral e′ (Rho = 0.57, P = 0.007). Furthermore, LV E-wave ω was associated with indices of RV diastolic dysfunction, including TV e′ (Rho = 0.52, P = 0.012) and TV E/A (Rho = 0.53, P = 0.009). LV E-wave ω is decreased in PH and correlated with multiple echocardiographic markers of ventricular interdependency. LV ω may be a novel marker for fluid-tissue biomechanical interactions in LV-RV interdependency.


Bioengineering | 2017

4D Flow Assessment of Vorticity in Right Ventricular Diastolic Dysfunction

James Browning; Jean Hertzberg; Joyce Schroeder; Brett Fenster

Diastolic dysfunction, a leading cause of heart failure in the US, is a complex pathology which manifests morphological and hemodynamic changes in the heart and circulatory system. Recent advances in time-resolved phase-contrast cardiac magnetic resonance imaging (4D Flow) have allowed for characterization of blood flow in the right ventricle (RV) and right atrium (RA), including calculation of vorticity and qualitative visual assessment of coherent flow patterns. We hypothesize that right ventricular diastolic dysfunction (RVDD) is associated with changes in vorticity and right heart blood flow. This paper presents background on RVDD, and 4D Flow tools and techniques used for quantitative and qualitative analysis of cardiac flows in the normal and disease states. In this study, 20 patients with RVDD and 14 controls underwent cardiac 4D Flow and echocardiography. A method for determining the time-step for peak early diastole using 4D Flow data is described. Spatially integrated early diastolic vorticity was extracted from the RV, RA, and combined RV/RA regions of each subject using a range of vorticity thresholding and scaling methods. Statistically significant differences in vorticity were found in the RA and combined RA/RV in RVDD subjects compared to controls when vorticity vectors were both thresholded and scaled by cardiac index.


Journal of Cardiovascular Magnetic Resonance | 2015

Left ventricular vorticity is marker of ventricular interdependency in pulmonary arterial hypertension

Brett Fenster; Christopher A Podgorski; Joyce Schroeder; Bryan Lin; Slade D Reisner; James Browning; Jean Hertzberg; Kern Buckner; Michal Schäfer

Background Chronic right ventricular (RV) pressure and volume overload in pulmonary arterial hypertension (PAH) results in leftward shift of the interventricular septum and impaired left ventricular (LV) diastolic function. However, the impact of PAH-mediated interdependency on LV fluid mechanics and fluid/structure interactions in LV diastolic dysfunction is incompletely understood. 4D flow CMR analysis of LV inflow has demonstrated vortical formations during early (E wave) and late (A wave) filling. Vorticity is a novel hemodynamic parameter describing the local spinning nature of the fluid elements that measures the rotation of these vortices and may represent a novel way to assess the impact of interdependency on LV diastolic flow and function. Using LV systolic eccentricity index (EI) and diastolic tissue Doppler measurements as markers of ventricular interdependency, we aimed to determine if LV vorticity correlated with indices of interdependency in PAH subjects and controls.


Journal of Cardiovascular Magnetic Resonance | 2014

Vorticity for the assessment of pulmonary vascular hemodynamics in pulmonary arterial hypertension

Alexander Honeyman; James Browning; Jean Hertzberg; Joyce Schroeder; Aurélien Stalder; J. Kern Buckner; Brett Fenster

Background 4D flow CMR analysis of main pulmonary artery (MPA) flow in pulmonary arterial hypertension (PAH) has demonstrated vortical formations whose existence time correlates with mean pulmonary arterial pressure (MPAP). Vorticity can quantitate the rotation of these vortices and may represent a novel way to assess pulmonary arterial hemodynamics. We aimed to determine if MPA vorticity correlates with pulmonary vascular hemodynamics in PAH subjects when compared to controls using 4D flow CMR. Methods


American Journal of Physiology-heart and Circulatory Physiology | 2015

Vorticity is a marker of right ventricular diastolic dysfunction

Brett Fenster; James Browning; Joyce Schroeder; Michal Schäfer; Christopher A Podgorski; Jamey Smyser; Lori J. Silveira; J. Kern Buckner; Jean Hertzberg


Circulation | 2014

Abstract 12086: Irregular Blood Flow Patterns in the Development of Pulmonary Hypertension

Vitaly O. Kheyfets; Jamey Smyser; Alex Honeyman; James Browning; Jean Hertzberg; Joyce Schroeder; Brett Fenster; Robin Shandas

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Brett Fenster

University of Colorado Denver

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Jean Hertzberg

University of Colorado Boulder

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Joyce Schroeder

University of Colorado Denver

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J. Kern Buckner

University of Colorado Denver

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Michal Schäfer

University of Colorado Denver

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Robin Shandas

University of Colorado Denver

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Vitaly O. Kheyfets

University of Colorado Denver

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Jason Jonkman

National Renewable Energy Laboratory

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