East Los Angeles College, COMPUTATIO 3213
Excerpt: ... CFD { Solution Modelling Sources of Error Turbulence Direct Numerical Simulation { DNS Turbulence modelling The k model Boundary Conditions Wall functions Advantages and Disadvantages CFD { Solution Modelling SOE3213/4: CFD Lecture 4 CFD { Solut ...
Penn State, ME 522
Excerpt: ... M E 522 Spring 2008 Professor John M. Cimbala Lecture 32 04/04/2008 Today, we will: Discuss the question: Can turbulent flow be solved exactly on a computer? [direct numerical simulation] Start to discuss turbulence modeling Do Candy Questions fo ...
University of Hawaii - Hilo, CD 07
Excerpt: ... CRUSH CURVE MESSUREMENTS OF POROUS MATERIALS USED FOR LABORATORY IMPACT EXPERIMENTS Kensuke Hiraoka and Akiko M. Nakamura Graduate School of Science, Kobe University, Japan. @As the impact process is common in the solar system, it is important to understand the impact process of small bodies in order to study the origin and evolution of these bodies and the solar system. The scale of the impact process in the solar system is far larger than we can address in the laboratory directly. Therefore, numerical simulations oer an eective way to study the impact process of small bodies. However, numerical simulations require knowledge of the physical properties of the target material, and should reproduce the results of laboratory experiments. Therefore, laboratory studies of the physical properties of the target materials, and destruction experiments, are important for numerical simulations . @In numerical simulations of the collisional disruption of asteroids, a fracture model, the Grady-Kipp model, has been u ...
UCLA, MEETING 18
Excerpt: ... Experimental Study of Free GaInSn Jet in M-TOR Xiaoyong Luo (UCLA) Presented at APEX Electronic Meeting February 5, 2002 OUTLINE Introduction Experimental Facility Description of Test Article Magnetic Field of the Flux Concentrator Numerical ...
Drexel, JZ 32
Excerpt: ... JING ZHANG Dept. of Materials Science & Engineering, Drexel University Philadelphia, PA19104 Phone: (215) 895-6374, Fax: (215) 895-6760 E-mail: Jing.Zhang@drexel.edu EDUCATION 2000-present Ph.D. candidate in Mate. Eng., Drexel University (Expected 2 ...
Purdue, AAE 624
Excerpt: ... l radiated noise. Shock-layer instabilities. Flow chemistry. 5. Advanced Methods for Analysis and Prediction: (a) Transient Growth: The incompleteness of the linear-instability basis functions, which leads to transient growth phenomena. (b) Nonlinear and Secondary Instabilities: Higher harmonics. Subharmonics. Secondary instabilities. Development of threedimensionality. Importance of ambient disturbances. Variability of the routes to breakdown. (c) Beyond Local Methods: The eN method. The Parabolized Stability Equations. Direct numerical simulations , in either the spatial or temporal domains. 6. Intermittency and the Extent of Transition: Turbulent spots, their form and growth. The linear-combination model of the intermittent region, and some alternatives. Eects of pressure gradient, turbulent level, three-dimensionality, curvature, and so on. The importance of intermittency on gas-turbine blades. Methods of distinguishing turbulent and non-turbulent ow. 7. Roughness Eects: The physical eect ...
Wisconsin Milwaukee, MATH 490
Excerpt: ... PHYSICAL REVIEW E 71, 066201 2005 Bifurcations in reaction-diffusion systems in chaotic ows Shakti N. Menon and Georg A. Gottwald* School of Mathematics & Statistics, University of Sydney, New South Wales 2006, Australia Received 14 January 2005; published 2 June 2005 We study the behavior of reacting tracers in a chaotic ow. In particular, we look at an autocatalytic reaction and at a bistable system which are subjected to stirring by a chaotic ow. The impact of the chaotic advection is described by a one-dimensional phenomenological model. We use a nonperturbative technique to describe the behavior near a saddle node bifurcation. We also nd an approximation of the solution far away from the bifurcation point. The results are conrmed by numerical simulations and show good agreement. DOI: 10.1103/PhysRevE.71.066201 I. INTRODUCTION PACS number s : 82.40.Bj, 82.40.Ck, 05.45. a, 47.52. j In recent years, interest has risen in the dynamics of reacting tracers in a complex ow environment. Apart ...
Rensselaer Polytechnic Institute, PK 6790
Excerpt: ... by relating the results of our trajectory-based approach, the PDE-based approach, and numerical simulations . Trajectory-based continuum limit: appsdenotes021009 Page 5 which corresponds to a Gaussian random variable with mean These two viewpoints agree with each other provided that This motivates defining the diffusivity for the trajectory-based perspective as: appsdenotes021009 Page 6 ...
Idaho, WEBS 420
Excerpt: ... FLUIDS 420/520 PROBLEM SET 5 READING CRITIQUE ON TURBULENCE SPRING 2009 Finish your reading critique for the beginning of class on, Thursday, March 12. Bring your notes with you to class. We will have a class discussion that day and I will be callin ...
Idaho, WEBS 420
Excerpt: ... FLUIDS 420/520 PROBLEM SET 5 READING CRITIQUE ON TURBULENCE SPRING 2009 Finish your reading critique for the beginning of class on, Thursday, March 12. Bring your notes with you to class. We will have a class discussion that day and I will be callin ...
Allan Hancock College, ACM 428
Excerpt: ... r that globally asymptotically stabilize the system at the origin. 2) Use bacstepping technique to design such a feedback. 3) Which controller uses more control effort? Illustrate your answer by some numerical simulations using Matlab. Question 2. Design a controller to globally asymptotically force the position and orientation of the surface vessel to track a smooth reference signal d (t ) . Numerically simulate your design using Matlab. Tutorial 9 (due: ) Design an adaptive controller to stabilize the surface vessel under assumption that all coefficients of then system matrices are unknown but constants. Numerically simulate your design using Matlab. Tutorial 10 (due: ) Consider the system x1 = x2 + x12 x2 = x3 x3 = u where , are unknown constant parameters, and > 0 . Design an adaptive controller without overparameterization to globally stabilize the system at the origin. Illustrate your result with some numerical simulations using Matlab. ...