Identifying Data

2016/17

Subject (*)

Técnicas Computacionais Aplicadas á Enxeñaría Mariña

Code

631480201

Study programme

Mestrado Universitario en Enxeñaría Mariña

Descriptors

Cycle

Period

Year

Type

Credits

Official Master's Degree

2nd four-month period

First

Optativa

Language

Spanish

Teaching method

Face-to-face

Prerequisites

Department

Enerxía e Propulsión Mariña

Coordinador

Baaliña Insua, Alvaro

E-mail

alvaro.baalina@udc.es

Lecturers

Baaliña Insua, Alvaro

E-mail

alvaro.baalina@udc.es

Web

General description

A materia baséase no coñecemento e aplicación dos métodos computacionais en procesos de transferencia de calor e fluxo de fluídos, para o deseño e cálculo de equipos e sistemas
de instalacións mariñas.
Acadarase destreza suficiente para coñecer as limitacións do método e a precisión dos resultados obtidos, tendo en conta as hipóteses de partida.

Study programme competencies

Code	Study programme competences
A20	Capacidade para desenrolar tarefas de análise e síntese de problemas teórico-prácticos en base a conceptos adquiridos noutras disciplinas do ámbito marítimo, mediante fundamentos físico-matemáticos.
A21	Operar, reparar, manter, reformar, deseñar e optimizar a nivel de xestión as instalacións industriais relacionadas coa enxeñaría mariña.
A22	Capacidade para desenrolar métodos e procedementos para gañar competitividade na industria marítima.
B1	Aprender a aprender.
B2	Resolver problemas de forma efectiva.
B3	Comunicarse de maneira efectiva nun entorno de traballo.
B4	Traballar de forma autónoma con iniciativa.
B5	Traballar de forma colaborativa.
B6	Comportarse con ética e responsabilidade social como cidadán e como profesional.
B7	Capacidade para interpretar, seleccionar e valorar conceptos adquiridos noutras disciplinas do ámbito marítimo, mediante fundamentos físico-matemáticos.
B10	Comunicar por escrito e oralmente os coñecementos procedentes da linguaxe científica.
B11	Capacidade para resolver problemas con iniciativa, toma de decisións, creatividade, razoamento crítico e de comunicar e transmitir coñecementos, habilidades e destrezas.
B12	Posuír e comprender coñecementos que aporten unha base ou oportunidade de ser orixinais no desenvolvemento e/ou aplicación de ideas, a miúdo nun contexto de investigación
B13	Que os estudantes saiban aplicar os coñecementos adquiridos e a sua capacidade de resolución de problemas en contornas novas ou pouco coñecidas dentro de contextos máis amplos (ou multidisciplinares) relacionados coa súa área de estudo
B14	Que os estudantes sexan capaces de integrar coñecementos e enfrontarse á complexidade de formular xuízos a partires dunha información que, sendo incompleta ou limitada, inclúa reflexións sobre as responsabilidades sociais e éticas vencelladas á aplicación dos seus coñecementos e xuízos
B15	Que os estudantes saiban comunicar as súas conclusións e os coñecementos e razóns últimas que as sustentan a públicos especializados e non especializados dun xeito claro e sin ambigüidades
B16	Que os estudantes posúan as habilidades de aprendizaxe que lles permitan continuar estudando dun xeito que haberá de ser en grande medida autodirixido ou autónomo.
C1	Expresarse correctamente, tanto de forma oral coma escrita, nas linguas oficiais da comunidade autónoma.
C2	Dominar a expresión e a comprensión de forma oral e escrita dun idioma estranxeiro.
C4	Desenvolverse para o exercicio dunha cidadanía aberta, culta, crítica, comprometida, democrática e solidaria, capaz de analizar a realidade, diagnosticar problemas, formular e implantar solucións baseadas no coñecemento e orientadas ao ben común.
C6	Valorar criticamente o coñecemento, a tecnoloxía e a información dispoñible para resolver os problemas cos que deben enfrontarse.
C7	Asumir como profesional e cidadán a importancia da aprendizaxe ao longo da vida.
C8	Valorar a importancia que ten a investigación, a innovación e o desenvolvemento tecnolóxico no avance socioeconómico e cultural da sociedade.
C9	Falar ben en público

Learning aims

Learning outcomes	Study programme competences
Analysis and synthesis of the concepts of computational methods and their application in practical cases with heat transfer and fluid flow processes combined. Capability for modeling processes by means computational methods. .	AC20 AC21 AC22	BC1 BC2 BC3 BC4 BC5 BC6 BC7 BC10 BC11 BC12 BC13 BC14 BC15 BC16	CC1 CC2 CC4 CC6 CC7 CC8 CC9
Critical reasoning about applicable physical models. Study habits, structuring information and management of specialized software.		BC1 BC2 BC3 BC4 BC5 BC6 BC7 BC10 BC11	CC1 CC2 CC4 CC6 CC7 CC8

Contents

Topic	Sub-topic
1.- The governing equations of Fluid Dynamics and Heat Transfer.	1.1 Conservation equations. Integral and differential form. 1.2. Conduction, convection and radiation
2.-Partial Differential Equations.	2.1. Classification 2.2. Behavior
3.- Grids	3.1. Transformation of equations 3.2. Grid generation
4.- CFD Techniques	4.1. Lax-Wendroff 4.2. Maccormack's
5.- Applications	5.1. Fluid flow applications 5.2. Heat Transfer applications

Planning

Methodologies / tests	Competencies	Ordinary class hours	Student’s personal work hours	Total hours
Guest lecture / keynote speech	B1 B2 B3 B4 B5 B6 B7 B10 B11 C1 C2 C4 C6 C7 C8 C9	14	14	28
Problem solving	A20 A21 A22 B1 B2 B4 B5 B7 B11 B13 B14 B16	7	14	21
Supervised projects	A20 A21 A22 B2 B3 B4 B5 B6 B7 B10 B11 B12 B15 C1 C6	7	7	14
Objective test	A20 A21 A22 B1 B2 B3 B4 B5 B6 B7 B10 B11 B12 B13 B14 B15 B16 C1 C2 C4 C6 C7 C8 C9	2	6	8

Personalized attention		4	0	4

(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies

Methodologies	Description
Guest lecture / keynote speech	There will be a detailed explanation of the contents of the material, distributed across topics. The student will have a typed copy of the subject matter in each keynote session. Students are encouraged to participate in class, through comments linking the theoretical contents with real life experiences.
Problem solving	Problems will be solved for each item proposed, allowing the application of mathematical models appropriate to each case, including managing software, applying the most appropriate assumptions, the theoretical relation developed in lectures and relation with professional practice
Supervised projects	Problems more difficult than those solved in class or issues of special relevance.
Objective test	The degree of acquired knowledge about the contents assessed, taking into account both theory and problem solving.

Personalized attention

Methodologies

Supervised projects

Problem solving

Description

The student is guided in all contents, specially those difficult to understand. The corresponding revisions of examinations are also included. Channels of information and contact will be the Virtual School together individualized tutoring for six hours throughout the week.

Assessment

Methodologies	Competencies	Description	Qualification
Supervised projects	A20 A21 A22 B2 B3 B4 B5 B6 B7 B10 B11 B12 B15 C1 C6	Presentation and defense of the work. Structure, neatness, originality and expository method are valued. Assessed comptencies: A20; A21; A22; B2; B3; B4; B5; B6; B7; B10; B11; C1;C6	10
Problem solving	A20 A21 A22 B1 B2 B4 B5 B7 B11 B13 B14 B16	Problem solving, if possible, with software. Assessed competencies: A20; A21; A22; B2; B4; B5; B7; B11	10
Objective test	A20 A21 A22 B1 B2 B3 B4 B5 B6 B7 B10 B11 B12 B13 B14 B15 B16 C1 C2 C4 C6 C7 C8 C9	The degree of acquired knowledge about the learning contents is assessed, taking into account both the theoretical part and the problems. Understanding of basic topics, problem solving strategies , evolution and capacity to analyse criticaly are assessed. Two term exams contribute to 70% of the qualification. Final objetive test with the same contribution is programmed for students who failed term exams. Assessed competencies: A20; A21; A22; B1; B2; B3; B4; B5; B6; B7; B10; B11; C1; C2; C4; C6; C7; C8	70
Guest lecture / keynote speech	B1 B2 B3 B4 B5 B6 B7 B10 B11 C1 C2 C4 C6 C7 C8 C9	Attendance at the sessions will count as part of the final grade Assessed competencies: B1, B2, B3, B4, B5, B6, B7, B10, B11, C1, C2, C4, C6, C7, C8	10

Assessment comments
A final examination to collect all course methodologies and representing 100% of the grade, is planned for those students with assistance less than 80% of programmed teaching methodologies (85 % of supervised projects), as long as they pass mandatory laboratory practices. The evaluation criteria listed in Table A-III 2, of the STCW Code, as amended, relating to this matter will be taken into account when designing and conducting evaluation.

Sources of information

Basic	Post, Scott (2011). Applied and computational fluid mechanics . Jones and Bartlett Publishers John D. Anderson (1995). Computational Fluid Dynamics. McGrawHill Patankar, Suhas V. (1980). Numerical heat transfer and fluid flow. Taylor & Francis

Complementary

Recommendations

Subjects that it is recommended to have taken before

Subjects that are recommended to be taken simultaneously

Subjects that continue the syllabus

Other comments

(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.