Laurens E. Howle, Associate Professor of Mechanical Engineering and Materials Science and Radiology and CNCS: Center for nonlinear and complex systems and Faculty Network Member of The Energy Initiative
Professor Howle's research interests span the disciplines of thermal science, fluid dynamics, and nonlinear dynamics. His present research projects - visualization of convective fluid patterns, stabilization of the no-motion state in free convection and bifurcation in imperfect or distributed parameter systems - are split evenly between experimental and computational methods.
A key problem facing researchers studying convection in fluid-saturated porous media is the lack of a general, non-invasive method for pattern visualization and wave number measurement. Professor Howle designed innovative porous media which allow optical techniques to be used for the first time as a pattern visualization tool in the study of porous media convection.
Computational spectral methods are efficient methods of simulation of small aspect ratio convection systems. For large problems, these methods can become too expensive to be practical. Professor Howle developed a reduced Galerkin method which decreases the execution time by orders of magnitude for large problems. This extends the range of problems for which certain spectral methods may be used. He is currently studying porous free convection in systems with distributed properties and binary convection using the reduced Galerkin method.
| Office Location: | 239 Hudson Eng Bldg, Durham, NC 27708-0300 |
| Email Address: |   |
| Web Page: | http://www.math.duke.edu/cncs/~leh |
Teaching (Fall 2017):
- ME 555.03, ADVANCED TOPICS
Synopsis
- Hudson 222, TuTh 01:25 PM-02:40 PM
- Education:
Ph.D. Duke University 1993 MS Duke University 1991 BSE Duke University 1989
- Specialties:
-
Chaos, Dynamics
Nonlinear Dynamics
Thermodynamics
Fluid Mechanics
Nonlinear Systems
Manufacturing
- Research Interests:
Thermal science, fluid dynamics, and nonlinear dynamics
- Keywords:
- Algorithms • Analysis of Variance • Angiography • Animals • Anura • Aorta • Aortic Aneurysm • Aortography • Biomimetic Materials • Blood Flow Velocity • Bottlenose dolphin • Cardiac Output • Catheterization, Central Venous • Catheterization, Peripheral • Catheters, Indwelling • Cetacea • Chelating Agents • Computational fluid dynamics • Computer Simulation • Computer-Aided Design • Contrast Media • Coronary Angiography • Data Interpretation, Statistical • Decompression Sickness • Diving • Dose-Response Relationship, Drug • Drug Administration Schedule • Equipment Design • Equipment Failure • Equipment Failure Analysis • Equipment Safety • Evaluation Studies as Topic • Extremities • Gadolinium • Humans • Hydrodynamics • Incidence • Injections, Intra-Arterial • Injections, Intravenous • Iodine • Iopamidol • Kaplan-Meier Estimate • Likelihood Functions • Linear Models • Magnetic Resonance Angiography • Microfluidics • Models, Biological • Models, Cardiovascular • Models, Statistical • Multidetector Computed Tomography • Particle Size • Phantoms, Imaging • Phosphatidylcholines • Pilot Projects • Predictive Value of Tests • Pressure • Proportional Hazards Models • Radiographic Image Enhancement • Radiographic Image Interpretation, Computer-Assisted • Recovery of Function • Regional Blood Flow • Reproducibility of Results • Retinal Cone Photoreceptor Cells • Retinal Photoreceptor Cell Outer Segment • Retinal Pigments • Reynolds number • Rheology • Risk Assessment • Risk Factors • Rupture • Sensitivity and Specificity • Severity of Illness Index • Sodium Chloride • Solutions • Statistics, Nonparametric • Swimming • Telemetry • Time Factors • Tomography, X-Ray Computed • Ultrasonics • Viscosity
- Recent Publications
(More Publications)
- Murphy, FG; Hada, EA; Doolette, DJ; Howle, LE, Probabilistic pharmacokinetic models of decompression sickness in humans, part 1: Coupled perfusion-limited compartments., Computers in Biology and Medicine, vol. 86 (May, 2017), pp. 55-64 [doi] [abs]
- Howle, LE; Weber, PW; Nichols, JM, Bayesian approach to decompression sickness model parameter estimation., Computers in Biology and Medicine, vol. 82 (March, 2017), pp. 3-11 [doi] [abs]
- Fiore, G; Anderson, E; Garborg, CS; Murray, M; Johnson, M; Moore, MJ; Howle, L; Shorter, KA, From the track to the ocean: Using flow control to improve marine bio-logging tags for cetaceans, edited by Aegerter, CM, PloS one, vol. 12 no. 2 (February, 2017), pp. e0170962-e0170962 [doi] [abs]
- Howle, LE; Weber, PW; Hada, EA; Vann, RD; Denoble, PJ, The probability and severity of decompression sickness., PloS one, vol. 12 no. 3 (January, 2017), pp. e0172665 [doi] [abs]
- Alex Shorter, K; Murray, MM; Johnson, M; Moore, M; Howle, LE, Drag of suction cup tags on swimming animals: Modeling and measurement, Marine Mammal Science, vol. 30 no. 2 (January, 2014), pp. 726-746, ISSN 0824-0469 [doi] [abs]