Готові списки джерел за темами / Rough boundary

Добірка наукової літератури з теми "Rough boundary"

Автор: Grafiati
Опубліковано: 6 вересня 2023

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Статті в журналах з теми "Rough boundary"

1

Denk, Robert, David Ploß, Sophia Rau, and Jörg Seiler. "Boundary value problems with rough boundary data." Journal of Differential Equations 366 (September 2023): 85–131. http://dx.doi.org/10.1016/j.jde.2023.04.001.

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2

Raupach, M. R., R. A. Antonia, and S. Rajagopalan. "Rough-Wall Turbulent Boundary Layers." Applied Mechanics Reviews 44, no. 1 (January 1, 1991): 1–25. http://dx.doi.org/10.1115/1.3119492.

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Анотація:
This review considers theoretical and experimental knowledge of rough-wall turbulent boundary layers, drawing from both laboratory and atmospheric data. The former apply mainly to the region above the roughness sublayer (in which the roughness has a direct dynamical influence) whereas the latter resolve the structure of the roughness sublayer in some detail. Topics considered include the drag properties of rough surfaces as functions of the roughness geometry, the mean and turbulent velocity fields above the roughness sublayer, the properties of the flow close to and within the roughness canopy, and the nature of the organized motion in rough-wall boundary layers. Overall, there is strong support for the hypothesis of wall similarity: At sufficiently high Reynolds numbers, rough-wall and smooth-wall boundary layers have the same turbulence structure above the roughness (or viscous) sublayer, scaling with height, boundary-layer thickness, and friction velocity.
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3

Engel, Konrad, and Tran Dan Thu. "Boundary optimization for rough sets." Discrete Mathematics 341, no. 9 (September 2018): 2465–77. http://dx.doi.org/10.1016/j.disc.2018.05.023.

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4

Yu, Wei Wei, Xiao Qin Guan, Yi Hui Li, and Hang Lin. "Boundary Effect to the Safety Factor of Slope in Geo-Material." Advanced Materials Research 382 (November 2011): 84–87. http://dx.doi.org/10.4028/www.scientific.net/amr.382.84.

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Boundary conditions have great impact on the stability of three dimensional geo-material, like slope, which is one of the oldest applications in geotechnical engineering. In order to analyze the impact of boundary condition to factor of safety of slope, the 3D stability analysis was then extended to the “rough-smooth” and “smooth-smooth” boundary. By studying slopes with the same geometric condition and shear strength parameters, the results show that the safety factors obtained from “rough-smooth” boundary are smaller than those got from “rough-smooth” boundary and bigger than those got from “smooth-smooth” boundary. The study also indicates that when the width to height ratio (W/H) of homogeneous symmetric slope satisfies certain condition, the “rough-rough” boundary equals to the “rough-smooth” boundary. The factor of safety and shape of slip surface got from these two kinds of boundary condition are of the same. Study results can give guidance for the real practice.
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5

Ligrani, Phillip M., and Robert J. Moffat. "Structure of transitionally rough and fully rough turbulent boundary layers." Journal of Fluid Mechanics 162, no. -1 (January 1986): 69. http://dx.doi.org/10.1017/s0022112086001933.

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6

Ashrafian, Alireza, and Stein Tore Johansen. "Wall boundary conditions for rough walls." Progress in Computational Fluid Dynamics, An International Journal 7, no. 2/3/4 (2007): 230. http://dx.doi.org/10.1504/pcfd.2007.013015.

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7

Chen, Xinfu, Xiao-Ping Wang, and Xianmin Xu. "Effective contact angle for rough boundary." Physica D: Nonlinear Phenomena 242, no. 1 (January 2013): 54–64. http://dx.doi.org/10.1016/j.physd.2012.08.018.

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8

Acharya, M., J. Bornstein, and M. P. Escudier. "Turbulent boundary layers on rough surfaces." Experiments in Fluids 4, no. 1 (1986): 33–47. http://dx.doi.org/10.1007/bf00316784.

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9

DeSanto, John A. "Impedance at a rough waveguide boundary." Wave Motion 7, no. 4 (July 1985): 307–18. http://dx.doi.org/10.1016/0165-2125(85)90002-2.

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10

MCDANIEL, SUZANNE T. "RENORMALIZING ROUGH-SURFACE SCATTER." Journal of Computational Acoustics 10, no. 01 (March 2002): 53–68. http://dx.doi.org/10.1142/s0218396x02001541.

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Exact and approximate solutions to the rough-surface scattering problem are compared to examine the predictive capability of renormalized surface scattering theory. Numerical results are presented for scattering from one-dimensional rough periodic surfaces on which the Dirichlet (acoustic pressure-release) and Neumann (acoustically rigid) boundary conditions are imposed. For scattering from Dirichlet surfaces, the predictions of renormalized scattering theory are found to provide better agreement with exact solutions than perturbation theory. For this boundary condition, many convergent approximations exist, and the small-slope approximation is found to yield an improvement to renormalization. For the Neumann boundary condition, renormalization provides good agreement with exact solutions for scattering from slightly rough surfaces. The Kirchhoff approximation, the only other convergent approximation applicable to the Neumann problem, provides agreement with exact solutions for scattering from moderately rough surfaces for angles of scatter and incidence far from grazing.
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Дисертації з теми "Rough boundary"

1

Alexander, William Nathan. "Sound from Rough Wall Boundary Layers." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/29246.

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Turbulent flow over a rough surface produces sound that radiates outside the near wall region. This noise source is often at a lower level than the noise created by edges and bluff body flows, but for applications with large surface area to perimeter ratios at low Mach number, this noise source can have considerable levels. In the first part of this dissertation, a detailed study is made of the ability of the Glegg & Devenport (2009) scattering theory to predict roughness noise. To this end, comparisons are made with measurements from cuboidal and hemispherical roughness with roughness Reynolds numbers, hu_Ï /ν, ranging from 24 to 197 and roughness height to boundary layer thickness ratios of 5 to 18. Their theory is shown to work very accurately to predict the noise from surfaces with large roughness Reynolds numbers, but for cases with highly inhomogeneous wall pressure fields, differences grow between estimation and measurement. For these surfaces, the absolute levels were underpredicted but the spectral shape of the measurement was correctly determined indicating that the relationship of the radiated noise with the wavenumber wall pressure spectrum and roughness geometry appears to remain relatively unchanged. In the second part of this dissertation, delay and sum beamforming and least-squares analyses were used to examine roughness noise recorded by a 36-sensor linear microphone array. These methods were employed to estimate the variation of source strengths through short fetches of large hemispherical and cuboidal element roughness. The analyses show that the lead rows of the fetches produced the greatest streamwise and spanwise noise radiation. The least-squares analysis confirmed the presence of streamwise and spanwise aligned dipoles emanating from each roughness element as suggested by the LES of Yang & Wang (2011). The least-squares calculated source strengths show that the streamwise aligned dipole is always stronger than that of the spanwise dipole, but the relative magnitude of the difference varies with frequency.
Ph. D.
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2

Kutlar, Ahmet Ihsan. "Turbulant boundary layers on rough painted surfaces." Thesis, University of Liverpool, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.359178.

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3

Dyer, Luke Oliver. "Parabolic boundary value problems with rough coefficients." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/33276.

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This thesis is motivated by some of the recent results of the solvability of elliptic PDE in Lipschitz domains and the relationships between the solvability of different boundary value problems. The parabolic setting has received less attention, in part due to the time irreversibility of the equation and difficulties in defining the appropriate analogous time-varying domain. Here we study the solvability of boundary value problems for second order linear parabolic PDE in time-varying domains, prove two main results and clarify the literature on time-varying domains. The first result shows a relationship between the regularity and Dirichlet boundary value problems for parabolic equations of the form Lu = div(A∇u)−ut = 0 in Lip(1, 1/2) time-varying cylinders, where the coefficient matrix A = [aij(X, t)] is uniformly elliptic and bounded. We show that if the Regularity problem (R)p for the equation Lu = 0 is solvable for some 1 < p < then the Dirichlet problem (D*) 1 p, for the adjoint equation L*v = 0 is also solvable, where p' = p/(p − 1). This result is analogous to the one established in the elliptic case. In the second result we prove the solvability of the parabolic Lp Dirichlet boundary value problem for 1 < p ≤ ∞ for a PDE of the form ut = div(A∇u)+B ·∇u on time-varying domains where the coefficients A = [aij(X, t)] and B = [bi(X, t)] satisfy a small Carleson condition. This result brings the state of affairs in the parabolic setting up to the current elliptic standard. Furthermore, we establish that if the coefficients of the operator A and B satisfy a vanishing Carleson condition, and the time-varying domain is of VMO-type then the parabolic Lp Dirichlet boundary value problem is solvable for all 1 < p ≤ ∞. This is related to elliptic results where the normal of the boundary of the domain is in VMO or near VMO implies the invertibility of certain boundary operators in Lp for all 1 < p < ∞. This then (using the method of layer potentials) implies solvability of the Lp boundary value problem in the same range for certain elliptic PDE. We do not use the method of layer potentials, since the coefficients we consider are too rough to use this technique but remarkably we recover Lp solvability in the full range of p's as the elliptic case. Moreover, to achieve this result we give new equivalent and localisable definitions of the appropriate time-varying domains.
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4

Tarada, F. H. A. "Heat transfer to rough turbine blading." Thesis, University of Sussex, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.379448.

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5

Rapetto, Marco. "Rough surfaces in contact : artificial intelligence and boundary lubrication." Licentiate thesis, Luleå tekniska universitet, Maskinelement, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-25874.

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Анотація:
Interacting surfaces are found in mechanical systems and components. Since engineered surfaces are not perfectly smooth, only a fraction of the nominal surface area is actually in contact. This fraction is denoted as the real area of contact, Ar, and is formed by the sum of the contact spots between the two touching surfaces. If these contacting surfaces are sliding, then friction and wear occur in these actual contacts. Friction and wear may be controlled by lubrication: depending on the operating conditions different types of lubrication regime exist. When the surfaces are completely separated by the fluid film and load is carried by hydrodynamic action, contacts operate in hydrodynamic regime. When the load is carried by the lubricating fluid and asperity contact, the regime becomes mixed lubrication. In boundary lubrication, surfaces are in contact and the load is carried by surface asperities. In many cases this is the critical lubrication regime that governs the life of the components. Due to the complexity of thin film boundary lubrication, design of lubricated interfaces is still a trial-and-error process. The mechanism of formation and rupture of oxide layers and boundary layers is not completely known and a reliable model for rough surfaces in boundary lubrication is currently lacking. This study focuses on boundary lubrication regime: the effect of surface roughness on the real area of contact is investigated and a numerical model for the sliding interaction between two asperities in sliding contact is developed. Numerical simulations of normal, dry, friction free, linear elastic contact of rough surfaces are performed. A variational approach is followed and the FFT-technique is used to speed up the numerical solution process. Five different steel surfaces are measured using a Wyko optical profilometer and several 2-D profiles are taken. The real area of contact and the pressure distribution over the contact length are calculated for all the 2-D profiles. A new slope parameter is defined. An artificial neural network is applied to determine the relationship between the roughness parameters and the real area of contact. Boundary lubrication mechanism is usually controlled by the additives present in the oil that form low friction, protective layers on the wearing surfaces. Chemical reactions between the lubricant molecules and the asperity surface may take place. These reactions are activated by certain values of pressure and temperature. Fundamental research on the influence of surface roughness on contact conditions is hence required and is a key factor in understanding the wear mechanism in boundary lubrication condition since pressure distribution, shear stresses, frictional heating, mechanical wear highly depends on surface topography. Modelling boundary lubrication requires knowledge in many fields: contact mechanics, thermodynamics, surface chemistry etc, thus different sub-models interacting each other must be created. It is complicated and may be not feasible within a foreseeable time period to take into account all the different parameters and evaluate them. Artificial intelligence is a way to overcome the problem and determine the relationship between input parameters and desired outputs. An elasto-plastic analytical model is used to determine the variation of pressure distribution and shear stress during the collision process of two asperities in sliding contact. The outputs of the elasto-plastic model are inputs of the thermal model that calculates the temperature rise during the collision process. The desorption of the adsorbed layer is determined by using existing adsorption theories and finally the probability of wear is computed at each time step of the collision process. Different results obtained using different adsorption theories and different input parameters are compared.

Godkänd; 2008; 20080512 (ysko)

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6

Rapetto, Marco Pietro. "Rough surfaces in contact : artificial intelligence and boundary lubrication /." Luleå : Luleå University of Technology, 2008. http://epubl.ltu.se/1402-1757/2008/16/.

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7

Ross, Christopher Roger. "Direct and inverse scattering by rough surfaces." Thesis, Brunel University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318675.

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8

Chang, Chung-Yie. "Boundary value problems for differential equations driven by rough signals." Thesis, Imperial College London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299835.

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9

Smith, Benjamin Scott. "Wall Jet Boundary Layer Flows Over Smooth and Rough Surfaces." Diss., Virginia Tech, 2008. http://hdl.handle.net/10919/27597.

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The aerodynamic flow and fluctuating surface pressure of a plane, turbulent, two-dimensional wall jet flow into still air over smooth and rough surfaces has been investigated in a recently constructed wall jet wind tunnel testing facility. The facility has been shown to produce a wall jet flow with Reynolds numbers based on the momentum thickness, Re&delta = &deltaUm/&nu, of between 395 and 1100 and nozzle exit Reynolds numbers, Rej = Umb/&nu, of between 16000 and 45000. The wall jet flow properties (&delta, &delta*, &theta, y1/2, Um, u*, etc.) were measured and characterized over a wide range of initial flow conditions and measurement locations relative to the wall jet source. These flow properties were measured for flow over a smooth flow surface and for flow over roughness patches of finite extent. The patches used in the current study varied in length from 305 mm to 914 mm (between 24 and 72 times the nozzle height, b) and were placed so that the leading edge of the patch was fixed at 1257 mm (x/b = 99) downstream of the wall jet source. These roughness patches were of a random sand grain roughness type and the roughness grain size was varied throughout this experiment. The tests covered roughness Reynolds numbers (k+) ranging from less than 2 to over 158 (covering the entire range of rough wall flow regimes from hydrodynamically smooth to fully rough). For the wall jet flows over 305 mm long patches of roughness, the displacement and momentum thicknesses were found to vary noticeably with the roughness grain size, but the maximum velocity, mixing layer length scale, y1/2, and the boundary layer thickness were not seen to vary in a consistent, determinable way. Velocity spectra taken at a range of initial flow conditions and at several distinct heights above the flow surface showed a limited scaling dependency on the skin friction velocity near the flow surface. The spectral density of the surface pressure of the wall jet flow, which is not believed to have been previously investigated for smooth or rough surfaces, showed distinct differences with that seen in a conventional boundary layer flow, especially at low frequencies. This difference is believed to be due to the presence of a mixing layer in the wall jet flow. Both the spectral shape and level were heavily affected by the variation in roughness grain size. This effect was most notable in overlap region of the spectrum. Attempts to scale the wall jet surface pressure spectra using outer and inner variables were successful for the smooth wall flows. The scaling of the rough wall jet flow surface pressure proved to be much more difficult, and conventional scaling techniques used for ordinary turbulent boundary layer surface pressure spectra were not able to account for the changes in roughness present during the current study. An empirical scaling scheme was proposed, but was only marginally effective at scaling the rough wall surface pressure.
Ph. D.
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10

Arens, Tilo. "The scattering of elastic waves by rough surfaces." Thesis, Brunel University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.311560.

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Книги з теми "Rough boundary"

1

Aldridge, J. N. Comparison of turbulence models for oscillatory rough turbulent boundary layer flows with suspended sediments. Salford: University of Salford Centre for Computational Fluid Dynamics and Turbulence, 1993.

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2

Tantirige, Sunil Chithranjan *. A flow visualization investigation of the turbulent boundary layer over regularly rough surfaces. 1989.

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Частини книг з теми "Rough boundary"

1

Liu, Guilong, and Jie Liu. "Boundary Region Reduction for Relation Systems." In Rough Sets, 418–26. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99368-3_32.

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2

Chen, Jie, Yue Chen, Yang Xu, Shu Zhao, and Yanping Zhang. "Attention Enhanced Hierarchical Feature Representation for Three-Way Decision Boundary Processing." In Rough Sets, 218–24. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87334-9_18.

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3

Battyányi, Péter, and György Vaszil. "Membrane Systems and Multiset Approximation: The Cases of Inner and Boundary Rule Application." In Rough Sets, 239–52. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22815-6_19.

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4

Zhang, Yanping, Gang Wang, Jie Chen, Liandi Fang, Shu Zhao, Ling Zhang, and Xiangyang Wang. "Research on Cost-Sensitive Method for Boundary Region in Three-Way Decision Model." In Rough Sets, 261–71. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47160-0_24.

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5

Chen, Jie, Yang Xu, Shu Zhao, Yuanting Yan, Yanping Zhang, Weiwei Li, Qianqian Wang, and Xiangyang Wang. "A Method for Boundary Processing in Three-Way Decisions Based on Hierarchical Feature Representation." In Rough Sets, 123–36. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99368-3_10.

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6

Tani, I. "Turbulent Boundary Layer Development over Rough Surfaces." In Perspectives in Turbulence Studies, 223–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-82994-9_9.

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7

Gao, Xinbo, Jie Li, and Yang Shi. "A Video Shot Boundary Detection Algorithm Based on Feature Tracking." In Rough Sets and Knowledge Technology, 651–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11795131_95.

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8

Li, Ping, Lin Shang, and Huaxiong Li. "A Method to Reduce Boundary Regions in Three-Way Decision Theory." In Rough Sets and Knowledge Technology, 834–43. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11740-9_76.

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9

Neuss, Nicolas. "Numerical Approximation of Boundary Layers for Rough Boundaries." In Progress in Industrial Mathematics at ECMI 2006, 323–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-71992-2_45.

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10

Aupoix, B. "Modelling of Boundary Layer Flows Over Rough Surfaces." In Fluid Mechanics and Its Applications, 16–20. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0457-9_4.

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Тези доповідей конференцій з теми "Rough boundary"

1

Ma, Zhou-Ming, and Ju-Sheng Mi. "Boundary region based rough sets." In 2015 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2015. http://dx.doi.org/10.1109/icmlc.2015.7340920.

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2

Grissom, Dustin, Ben Smith, William Devenport, and Stewart Glegg. "Rough Wall Boundary Layer Noise." In 12th AIAA/CEAS Aeroacoustics Conference (27th AIAA Aeroacoustics Conference). Reston, Virigina: American Institute of Aeronautics and Astronautics, 2006. http://dx.doi.org/10.2514/6.2006-2409.

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3

Glegg, Stewart, William Devenport, Dustin Grissom, and Benjamin Smith. "Rough Wall Boundary Layer Noise: Theoretical Predictions." In 13th AIAA/CEAS Aeroacoustics Conference (28th AIAA Aeroacoustics Conference). Reston, Virigina: American Institute of Aeronautics and Astronautics, 2007. http://dx.doi.org/10.2514/6.2007-3417.

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4

Heydari, Ali, Ramin Miryan, and Saeid Sharifi. "Boundary Layers on a Rotating Rough Disk." In ASME 1994 International Computers in Engineering Conference and Exhibition and the ASME 1994 8th Annual Database Symposium collocated with the ASME 1994 Design Technical Conferences. American Society of Mechanical Engineers, 1994. http://dx.doi.org/10.1115/cie1994-0470.

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Abstract In this paper the turbulent fluid flow over a rotating disk with roughness is considered. The disk is assumed to be at uniform wall temperature. The surface roughness is assumed to influence the turbulent boundary layer by adding a roughness parameter height k. Boundary-layer approximation reduces the elliptic Navier-Stockes equations to parabolic equations, where the Keller-Cebeci method of finite-difference solution is used to solve the resulting system of partial-differential equations. The resulting curve-fit equations to the numerically calculated results for three regions of laminar, transition and turbulent flow is shown to be consistent to those obtained for flow over a flat plate or inside a circular cylinder. Calculations for various surface roughness parameters are made and results are presented.
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5

Phophalia, Ashish, Suman K. Mitra, and Ajit Rajwade. "Object boundary detection using Rough Set Theory." In 2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG). IEEE, 2013. http://dx.doi.org/10.1109/ncvpripg.2013.6776259.

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6

George, J., and R. Simpson. "Some three-dimensional rough-wall turbulent boundary layers." In 40th AIAA Aerospace Sciences Meeting & Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-580.

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Meletti, Gabriel Maltese de Oliveira, and Erick de Moraes Franklin. "Boundary Layer Transition From Smooth To Rough Walls." In Brazilian Congress of Thermal Sciences and Engineering. ABCM, 2018. http://dx.doi.org/10.26678/abcm.encit2018.cit18-0004.

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8

Grissom, Dustin, Benjamin Smith, William Devenport, and Stewart Glegg. "Rough-Wall Boundary Layer Noise: An Experimental Investigation." In 13th AIAA/CEAS Aeroacoustics Conference (28th AIAA Aeroacoustics Conference). Reston, Virigina: American Institute of Aeronautics and Astronautics, 2007. http://dx.doi.org/10.2514/6.2007-3418.

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Yang, Yingjie, and Robert John. "Global roughness of approximation and boundary rough sets." In 2008 IEEE 16th International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2008. http://dx.doi.org/10.1109/fuzzy.2008.4630508.

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Hsu, John R. C. "Rough Turbulent Boundary Layer in Short-Crested Waves." In 20th International Conference on Coastal Engineering. New York, NY: American Society of Civil Engineers, 1987. http://dx.doi.org/10.1061/9780872626003.021.

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Звіти організацій з теми "Rough boundary"

1

Kim, John. Rough-Wall Turbulent Boundary Layers. Fort Belvoir, VA: Defense Technical Information Center, July 2004. http://dx.doi.org/10.21236/ada426193.

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2

Demetriades, A. Supersonic Boundary Layer Stability over a Rough Wall. Fort Belvoir, VA: Defense Technical Information Center, January 1985. http://dx.doi.org/10.21236/ada179580.

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3

Puleo, Jack, and Oleg Mouraenko. Wave Bottom Boundary Layer Models for Smooth and Rough Beds. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada417532.

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