TURBULENCE

Course objectives

The students willing to attend the Turbulence course already posses a background concerning fluid motion and the basic mathematical models, the Navier-Stokes equations, say, used for its description, as acquired from previous courses. However, practically all the flows which are relevant for Aeronautical and Aerospace design applications in Aerodynamics, Fluid Dynamics and Gas Dynamics are incredibly more complex than the elementary solutions known to Batchelor students. Hence, all the background knowledge acquired by the student on fluid motion, although valuable for the foundations, is scarcely relevant for addressing the physical phenomena targeted by aerodynamic design and optimization, say. The student is left in the the same conditions of nineteen century scholars, who knew the mathematical model - the correct one, by the way — but ware unable to extract from it any valuable predictive information (just to cite known example, one may think of the wall known D’Alembert paradox or to the poor correspondence between the Poiseuille solution and the actual flow found in irrigation channels, not to talk of boundary layers). Indeed, still today we sometimes colloquially, though improperly, refer to a fluid undergoing turbulent flow as a turbulent fluid, a remnant of the historical gap between understanding of fluid motion and actual experience. In fact, in all cases of practical relevance, with the exception of microfluidic and nanofluidic ones, are turbulent (e.g., the flow in a room where we perceive still air is a stets of turbulent motion. Where it not, we would perceive smells by molecular diffusion, on a time scale of hours, as compared by the actual turbulent diffusion, on the time scale of seconds). The crucial point is that turbulence is the only fundamental problem of classical physics left unsolved after the scientific revolution of the early twentieth century. In this general context, the basic objective of the course is ferrying the student from basic understanding toward the more advanced and complete knowledge needed for actual use in aerodynamic design. In view of this, the student needs to gain a clear comprehension of the fundamental dynamics operating in free (jets, say) and wall bounded flows (e.g. boundary layers). Turbulence is a stochastic process governed by deterministic equations. In order to be able to dealt with turbulence we need the specialized language of stochastic processes applied to the Navier-Stokes equations, fro sure the most complex and difficult system of partial differential equations of wide interest for engineering applications. First aim of the course is setting up the appropriate mathematical language for describing turbulent fields. Suitable tools in the context of probability and statistics will be explained to allow the student mastering the most appropriate description of stochastic fields governed by deterministic and stochastic equations. Students will familiarize with the notion of stochastic process and the basic tools for its statistical analysis. Once the language is understood and mastered, the course will provide the students with tools for understanding and computing the most common turbulent flows, such as wall bounded (e.g. boundary layers) and free flows (such as free jets). Time will be dedicated also to figure out the universal mechanisms underpinning fully developed turbulence, namely the homogeneous, isotropic turbulence paradigm. This part of the course will lead the student to a complete and clear understanding of fundamental turbulent processes, such as turbulent transport, which implies increased mixing efficiency and heat transfer, and the magnified skin friction brought about by turbulence, which is crucial in aerodynamics. Further step is to bring the student to master current and advanced predictive and semi-predictive models of most common use in the aeronautical and aerospace design. In order to achieve this result, the modern techniques for the numerical simulation of turbulent flows, ranging from direct numerical simulation (DNS), Reynolds averaged equations (RANS) and large eddy simulation (LES). Beside providing simulation and analysis skills to be used in aerodynamical and fluid dynamical design, the purpose here is to enable the student to discriminate between the different approaches to select the most appropriate one to solve the specific problem at hand. In many cases it may be crucial to be able to understand how turbulence develops in a given flow geometry. For this reason flow stability and the different routes of laminar-turbulence transition are crucial topics the gain familiarity with. Additionally, students will be exposed to complementary aspects such as noise generation by turbulence. In conclusion, the overall, global objective of the course is to move the student from her/his basic school level knowledge to advanced and operative understanding of fluid motion in realistic contexts.

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CARLO MASSIMO CASCIOLA Lecturers' profile

Program - Frequency - Exams

Course program
Parte A. The statistical approach to Turbulence: Averages, probability distributions and conditional probability distributions. The transport equation for probability distributions. Basic concepts in turbulence: Reynolds decomposition and the averaged Navier-Stokes equations. Mean field kinetic energy. Turbulent kinetic energy, production dissipation and transport. Turbulent wall bounded flows: Friction velocity, characteristic scales and the law of the wall. The overlap region and the friction law. Turbulent jets: Turbulent jet dynamics and the entrainment process. Momentum flux and the similarity law for the mean velocity profile. Small scale turbulence: The energy spectrum, spectral energy balance and the Kolmogorov law. Structure functions and the Kolmogorov equation. Parte B. Advanced topics in small scale statistics: Structure functions. The Kolmogorov equation for the longitudinal third order structure function. Dimensional predictions for the scaling of structure functions. Violations of dimensional prediction and intermittency. The multifractal model of intermittency. Passive scalars: Mean temperature profiles in wall bounded flows. Small scale fluctuations of passive scalars concentration. The Yaglom equation for the passive scalar. Transition to turbulence: Base flow and perturbation. The notion of stability of a laminar base flow. Linearized equations for disturbance evolution. Parallel shear flows and Orr-Sommerfeld-Squires equation. The eigenvalue problem for the linear stability of laminar, parallel shear flows. Linear asymptotic stability and loss of stability via normal amplification mechanisms. Non normal modes and by-pass transition in shear flows. Stability properties of mixing layer. The generation of sound by turbulence: The compressible Navier-Stokes equation and the propagation of sound waves. Elementary properties of the wave equation. Lighthill’s equation and the sound generated by turbulence. Integral representation of the acoustic field generated by a distributed source. The Ffowcs Williams-Hawkings equation. Dependence of acoustic pressure on Mach number and the directionality of sound propagation. Application to jet noise. Turbulence modeling: Closures of Reynolds stress in the averaged Navier-Stokes equations. Mixing length, Boussinesq assumption on the Reynolds stresses. The k-epsilon model. Filtered Navier-Stokes equations and Large Eddy Simulation. Subgrid stresses. The Smagosinsky model for sub grid stresses. Interpretation in terms of energy fluxes.
Prerequisites
Good knowledge of calculus and basic understanding of ordinary and partial differential equations. Good understanding of mechanics, basic physics and thermodynamics. Good knowledge of aerodynamics and fluid dynamics.
Books
Turbulence. Lecture notes. Turbulent Flows, Stephen B. Pope, Cabridge University Press
Teaching mode
The corse is mainly taught through lessons delivered to the class. Almost one fourth of the course is spent by the student in (numerical) laboratory classes where he/she learns basic elements to realize numerical simulations of turbulent flow applying the theoretical knowledge acquired in he course.
Frequency
Although not mandatory, attendance to class lecture is warmly encouraged.
Exam mode
The final evaluation consists in a written exam to be completed in 3 hours followed by an oral discussion typically taking place the following day. The written exam consists of a series of open questions (typically four) concerning the different prats of the program illustrated during the lectures. Each answer is evaluated with a mark ranging from 1 to 10 and the final score is obtained by averaging the partial marks and rescaling in the range 1 to 30. The following oral discussion is focused on the answers given by the student in the written exam with additional questions concerning laboratory lectures and subjects autonomously elaborated by the student. The exam is illustrated and discussed with the students twice: in the introductory lecture of the course and at the end of the semester. The exam aims at evaluating knowledge and skills acquired by the student along the lines described in the “training goals” (obiettivi formativi). In particular: comprehension of concepts and analysis techniques illustrated in the class; capability of autonomous learning; capability of critical assessment of problems in turbulence; communication skills and ability in synthesizing complex issues.
Lesson mode
The corse is mainly taught through lessons delivered to the class. Almost one fourth of the course is spent by the student in (numerical) laboratory classes where he/she learns basic elements to realize numerical simulations of turbulent flow applying the theoretical knowledge acquired in he course.
CARLO MASSIMO CASCIOLA Lecturers' profile

Program - Frequency - Exams

Course program
Parte A. The statistical approach to Turbulence: Averages, probability distributions and conditional probability distributions. The transport equation for probability distributions. Basic concepts in turbulence: Reynolds decomposition and the averaged Navier-Stokes equations. Mean field kinetic energy. Turbulent kinetic energy, production dissipation and transport. Turbulent wall bounded flows: Friction velocity, characteristic scales and the law of the wall. The overlap region and the friction law. Turbulent jets: Turbulent jet dynamics and the entrainment process. Momentum flux and the similarity law for the mean velocity profile. Small scale turbulence: The energy spectrum, spectral energy balance and the Kolmogorov law. Structure functions and the Kolmogorov equation. Parte B. Advanced topics in small scale statistics: Structure functions. The Kolmogorov equation for the longitudinal third order structure function. Dimensional predictions for the scaling of structure functions. Violations of dimensional prediction and intermittency. The multifractal model of intermittency. Passive scalars: Mean temperature profiles in wall bounded flows. Small scale fluctuations of passive scalars concentration. The Yaglom equation for the passive scalar. Transition to turbulence: Base flow and perturbation. The notion of stability of a laminar base flow. Linearized equations for disturbance evolution. Parallel shear flows and Orr-Sommerfeld-Squires equation. The eigenvalue problem for the linear stability of laminar, parallel shear flows. Linear asymptotic stability and loss of stability via normal amplification mechanisms. Non normal modes and by-pass transition in shear flows. Stability properties of mixing layer. The generation of sound by turbulence: The compressible Navier-Stokes equation and the propagation of sound waves. Elementary properties of the wave equation. Lighthill’s equation and the sound generated by turbulence. Integral representation of the acoustic field generated by a distributed source. The Ffowcs Williams-Hawkings equation. Dependence of acoustic pressure on Mach number and the directionality of sound propagation. Application to jet noise. Turbulence modeling: Closures of Reynolds stress in the averaged Navier-Stokes equations. Mixing length, Boussinesq assumption on the Reynolds stresses. The k-epsilon model. Filtered Navier-Stokes equations and Large Eddy Simulation. Subgrid stresses. The Smagosinsky model for sub grid stresses. Interpretation in terms of energy fluxes.
Prerequisites
Good knowledge of calculus and basic understanding of ordinary and partial differential equations. Good understanding of mechanics, basic physics and thermodynamics. Good knowledge of aerodynamics and fluid dynamics.
Books
Turbulence. Lecture notes. Turbulent Flows, Stephen B. Pope, Cabridge University Press
Teaching mode
The corse is mainly taught through lessons delivered to the class. Almost one fourth of the course is spent by the student in (numerical) laboratory classes where he/she learns basic elements to realize numerical simulations of turbulent flow applying the theoretical knowledge acquired in he course.
Frequency
Although not mandatory, attendance to class lecture is warmly encouraged.
Exam mode
The final evaluation consists in a written exam to be completed in 3 hours followed by an oral discussion typically taking place the following day. The written exam consists of a series of open questions (typically four) concerning the different prats of the program illustrated during the lectures. Each answer is evaluated with a mark ranging from 1 to 10 and the final score is obtained by averaging the partial marks and rescaling in the range 1 to 30. The following oral discussion is focused on the answers given by the student in the written exam with additional questions concerning laboratory lectures and subjects autonomously elaborated by the student. The exam is illustrated and discussed with the students twice: in the introductory lecture of the course and at the end of the semester. The exam aims at evaluating knowledge and skills acquired by the student along the lines described in the “training goals” (obiettivi formativi). In particular: comprehension of concepts and analysis techniques illustrated in the class; capability of autonomous learning; capability of critical assessment of problems in turbulence; communication skills and ability in synthesizing complex issues.
Lesson mode
The corse is mainly taught through lessons delivered to the class. Almost one fourth of the course is spent by the student in (numerical) laboratory classes where he/she learns basic elements to realize numerical simulations of turbulent flow applying the theoretical knowledge acquired in he course.
ALBERTO GIACOMELLO Lecturers' profile

Program - Frequency - Exams

Course program
The course will be taught by Prof. Casciola and Prof. Giacomello. The following syllabus refers to the part taught by Prof. Casciola. The statistical approach to Turbulence: Averages, probability distributions and conditional probability distributions. The transport equation for probability distributions. Basic concepts in turbulence: Reynolds decomposition and the averaged Navier-Stokes equations. Mean field kinetic energy. Turbulent kinetic energy, production dissipation and transport. Turbulent wall bounded flows: Friction velocity, characteristic scales and the law of the wall. The overlap region and the friction law. Turbulent jets: Turbulent jet dynamics and the entrainment process. Momentum flux and the similarity law for the mean velocity profile. Small scale turbulence: The energy spectrum, spectral energy balance and the Kolmogorov law. Structure functions and the Kolmogorov equation.
Prerequisites
Good knowledge of calculus and basic understanding of ordinary and partial differential equations. Good understanding of mechanics, basic physics, thermodynamics and elementary chemistry. Good knowledge of fluid dynamics.
Books
Turbulence. Lecture notes of the instructor.
Teaching mode
The course is mainly taught through lessons delivered to the class. Almost one fourth of the course is spent by the student in laboratory classes where he/she learns basic elements for the numerical simulation of turbulent and reactive flows.
Frequency
optional
Exam mode
The final evaluation consists in a single written exam for both the parts taught by Prof. Casciola and by Prof. Giacomello. The exam is to be completed in 3 hours followed by an oral discussion typically taking place the following day. The written exam consists of a series of open questions (typically four) concerning the different parts of the program illustrated during the lectures. Each answer is evaluated with a mark ranging from 1 to 10 and the final score is obtained by averaging the partial marks and rescaling in the range 1 to 30. The following oral discussion is focused on the answers given by the student in the written exam with additional questions concerning laboratory lectures and subjects autonomously elaborated by the student. The exam is illustrated and discussed with the students twice: in the introductory lecture of the course and at the end of the semester. The exam aims at evaluating knowledge and skills acquired by the student along the lines described in the “training goals” (obiettivi formativi). In particular: a) comprehension of concepts and analysis techniques illustrated in the class; b) capability of autonomous learning; c) capability of critical assessment of problems in turbulent and/or combustion. d) communication skills and ability in synthesizing complex issues.
Bibliography
Turbulent Flows, Stephen B. Pope, Cambridge University Press
Lesson mode
The course is mainly taught through lessons delivered to the class. Almost one fourth of the course is spent by the student in laboratory classes where he/she learns basic elements for the numerical simulation of turbulent and reactive flows.
ALBERTO GIACOMELLO Lecturers' profile

Program - Frequency - Exams

Course program
The course will be taught by Prof. Casciola and Prof. Giacomello. The following syllabus refers to the part taught by Prof. Casciola. The statistical approach to Turbulence: Averages, probability distributions and conditional probability distributions. The transport equation for probability distributions. Basic concepts in turbulence: Reynolds decomposition and the averaged Navier-Stokes equations. Mean field kinetic energy. Turbulent kinetic energy, production dissipation and transport. Turbulent wall bounded flows: Friction velocity, characteristic scales and the law of the wall. The overlap region and the friction law. Turbulent jets: Turbulent jet dynamics and the entrainment process. Momentum flux and the similarity law for the mean velocity profile. Small scale turbulence: The energy spectrum, spectral energy balance and the Kolmogorov law. Structure functions and the Kolmogorov equation.
Prerequisites
Good knowledge of calculus and basic understanding of ordinary and partial differential equations. Good understanding of mechanics, basic physics, thermodynamics and elementary chemistry. Good knowledge of fluid dynamics.
Books
Turbulence. Lecture notes of the instructor.
Teaching mode
The course is mainly taught through lessons delivered to the class. Almost one fourth of the course is spent by the student in laboratory classes where he/she learns basic elements for the numerical simulation of turbulent and reactive flows.
Frequency
optional
Exam mode
The final evaluation consists in a single written exam for both the parts taught by Prof. Casciola and by Prof. Giacomello. The exam is to be completed in 3 hours followed by an oral discussion typically taking place the following day. The written exam consists of a series of open questions (typically four) concerning the different parts of the program illustrated during the lectures. Each answer is evaluated with a mark ranging from 1 to 10 and the final score is obtained by averaging the partial marks and rescaling in the range 1 to 30. The following oral discussion is focused on the answers given by the student in the written exam with additional questions concerning laboratory lectures and subjects autonomously elaborated by the student. The exam is illustrated and discussed with the students twice: in the introductory lecture of the course and at the end of the semester. The exam aims at evaluating knowledge and skills acquired by the student along the lines described in the “training goals” (obiettivi formativi). In particular: a) comprehension of concepts and analysis techniques illustrated in the class; b) capability of autonomous learning; c) capability of critical assessment of problems in turbulent and/or combustion. d) communication skills and ability in synthesizing complex issues.
Bibliography
Turbulent Flows, Stephen B. Pope, Cambridge University Press
Lesson mode
The course is mainly taught through lessons delivered to the class. Almost one fourth of the course is spent by the student in laboratory classes where he/she learns basic elements for the numerical simulation of turbulent and reactive flows.
  • Lesson code1052234
  • Academic year2025/2026
  • CourseAeronautical engineering
  • CurriculumModellistica e analisi per la progettazione aeronautica (percorso valido anche per il conseguimento del doppio titolo con Georgia institute of technology and Georgia tech Lorraine o per il doppio titolo Italo-portoghese )
  • Year2nd year
  • Semester1st semester
  • SSDING-IND/06
  • CFU6