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Full-Text Articles in Engineering
Influence Of Towing Force Magnitude On The Kinematics Of Supramaximal Sprinting, David A. Clark, Seth Kuhlman, Michelle B. Sabick, Ronald P. Pfeiffer, Nicole A. Knigge
Influence Of Towing Force Magnitude On The Kinematics Of Supramaximal Sprinting, David A. Clark, Seth Kuhlman, Michelle B. Sabick, Ronald P. Pfeiffer, Nicole A. Knigge
Mechanical and Biomedical Engineering Faculty Publications and Presentations
The purpose of this study was to determine the influence of towing force magnitude on the kinematics of supramaximal sprinting. Ten high school and collegiate aged track and field athletes ran 60m maximal sprints under 5 different conditions: non-towed (NT), Tow A (2.0% body weight), Tow B (2.8%BW), Tow C (3.8%BW), and Tow D (4.7%BW). Three-dimensional kinematics of a 4-segment model of the right side of the body were collected starting at the 35m point of the trial. Significant differences were observed in stride length (SL) and horizontal velocity of the center of mass (VH) during Tow C and Tow …
The Relationships Between Muscle, External, Internal And Joint Mechanical Work During Normal Walking, Kotaro Sasaki, Richard R. Neptune, Steven A. Kautz
The Relationships Between Muscle, External, Internal And Joint Mechanical Work During Normal Walking, Kotaro Sasaki, Richard R. Neptune, Steven A. Kautz
Mechanical and Biomedical Engineering Faculty Publications and Presentations
Muscle mechanical work is an important biomechanical quantity in human movement analyses and has been estimated using different quantities including external, internal and joint work. The goal of this study was to investigate the relationships between these traditionally used estimates of mechanical work in human walking and to assess whether they can be used as accurate estimates of musculotendon and/or muscle fiber work. A muscle-actuated forward dynamics walking simulation was generated to quantify each of the mechanical work measures. Total joint work (i.e. the time integral of absolute joint power over a full gait cycle) was found to underestimate total …
Rapid-Response Urban Cfd Simulations Using A Gpu Computing Paradigm On Desktop Supercomputers, Inanc Senocak, Julien C. Thibault, Matthew Caylor
Rapid-Response Urban Cfd Simulations Using A Gpu Computing Paradigm On Desktop Supercomputers, Inanc Senocak, Julien C. Thibault, Matthew Caylor
Mechanical and Biomedical Engineering Faculty Publications and Presentations
In the event of chemical or biological (CB) agent attacks or accidents, first-responders need hazard prediction data to launch effective emergency response action. Accurate and timely knowledge of the wind fields in urban areas is critically important to identify and project the extent of CB agent dispersion to determine the hazard-zone. In their 2008 report (GAO-08-180), U.S. Government Accountability Office has reported that first responders are limited in their ability to detect and model hazardous releases in urban environments. The current set of modeling tools for contaminant dispersion in urban environments rely on empirical assumptions with diagnostic equations (Wang et …
Cuda Implementation Of A Navier-Stokes Solver On Multi-Gpu Desktop Platforms For Incompressible Flows, Julien C. Thibault, Inanc Senocak
Cuda Implementation Of A Navier-Stokes Solver On Multi-Gpu Desktop Platforms For Incompressible Flows, Julien C. Thibault, Inanc Senocak
Mechanical and Biomedical Engineering Faculty Publications and Presentations
Graphics processor units (GPU) that are traditionally designed for graphics rendering have emerged as massively-parallel "co-processors" to the central processing unit (CPU). Small-footprint desktop supercomputers with hundreds of cores that can deliver teraflops peak performance at the price of conventional workstations have been realized. A computational fluid dynamics (CFD) simulation capability with rapid computational turnaround time has the potential to transform engineering analysis and design optimization procedures. We describe the implementation of a Navier-Stokes solver for incompressible fluid flow using desktop platforms equipped with multi-GPUs. Specifically, NVIDIA’s Compute Unified Device Architecture (CUDA) programming model is used to implement the discretized …