Academic Year

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2022/2023

Applied Modelling & Simulation

Code: 43480 ECTS Credits: 6
Degree Type Year Semester
4313136 Modelling for Science and Engineering OT 0 2

Contact

Name:
Ana Cortes Fite
Email:
ana.cortes@uab.cat

Use of Languages

Principal working language:
english (eng)

Teachers

Gemma Sanjuan Gomez
Veṛnica Vidal Canedo
Carles Carrillo Jordan

Prerequisites

User knowledge of computer systems and (recommended) some knowledge of a programming language but not essential.

Objectives and Contextualisation

The present course aims to:

  • Introduce students to the modelling and simulation techniques used in multidisciplinary areas.
  • Apply the appropriate methodology for developing models in multidisciplinary areas.
  • Evaluate modelling and simulation tools available for different areas.
  • Model and simulate structures of different types.

Competences

  • Analyse complex systems in different fields and determine the basic structures and parameters of their workings.
  • Analyse, synthesise, organise and plan projects in the field of study.
  • Formulate, analyse and validate mathematical models of practical problems in different fields.
  • Present study results in English.
  • Safeguard, manage, audit and certify the quality of advanced developments, processes, systems and software.
  • Solve complex problems by applying the knowledge acquired to areas that are different to the original ones.
  • Use appropriate numerical methods to solve specific problems.

Learning Outcomes

  1. Analyse, synthesise, organise and plan projects in the field of study.
  2. Describe the different components of a system and the interactions between them.
  3. Identify the parameters that determine how a system works.
  4. Implement appropriate numerical methods to solve models in the field of engineering.
  5. Model engineering systems using commercial tools.
  6. Present study results in English.
  7. Simulate the behaviour of complex systems.
  8. Solve complex problems by applying the knowledge acquired to areas that are different to the original ones.
  9. Validate the simulation results with the predictions of the models and the behaviour of the real system.

Content

Module 1: Modelling in engineering

  • Tools for structural modelling
  • Structures design
  • Structural Simulation 

 

Module 2: Applications of Complex Physical Models

  • Forest fire spread models: basic and Rothermel model, global models
  • Input uncertainty: Data Driven Systems (Genetic Algorithms, Statistic Systems)
  • Multi-model prediction system (Numerical Weather Prediction, Wind Field model, Fuels models..)
  • Numerical weather forecast models: Numerical Weather Prediction (NWP)
  • Basic concepts of Atmospheric Modelization. NWP models and computational power
 

Methodology

The course will be developed in theoretical classes, practical excercises and seminars with guest speakers.

It is recommended that students attend all classes of the subject with a laptop with a well-charged battery.

Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.

Activities

Title Hours ECTS Learning Outcomes
Type: Directed      
Theoretical Lectures 12 0.48 2, 3, 5, 8
Type: Supervised      
Practical sessions 26 1.04 1, 4, 7, 9
Type: Autonomous      
Collaborative work 40 1.6 1, 4, 7, 9
Individual (personal work) 20 0.8 1, 2, 4, 5, 7, 9
Technical documentation study and preparation 45 1.8 6, 2, 3, 5

Assessment

The evaluation will be made by developing and presenting the proposed case studies using the tools presented in the lecture sessions. Group work and interaction will also be assessed.

In the case that the student has an evaluation of less than 5 points in some sections of the assessment (except the Lab), the student will have to do an additional (in person) test on the particular section.

 

Academic Integrity
If the student use someone else’s work (code, figures, research publications, etc.) to produce any work for this course, the student must:
  1. indicate how this work was used,
  2. acknowledge this work in a bibliography section.

Violation of these policies will be considered a breach of academic integrity, and the student will be subject to penalties outlined by the MsC studies coordination at the Faculty of Sciences.The student is subject to the rights and responsibilities that includes an academic (grade) penalty administered by the professor and/or disciplinary action through the UAB judicial process by plagiarism responsabilitities.

Assessment Activities

Title Weighting Hours ECTS Learning Outcomes
Environmental modelling and simulation: Case study 50% 4 0.16 4, 8, 7, 9
Structural simulation 50% 3 0.12 1, 6, 2, 3, 5, 8

Bibliography

  • Solidedge user's guide: https://solidedge.siemens.com/es/solutions/users/students/

  • WRF user's guide: https://www2.mmm.ucar.edu/wrf/users/docs/user_guide_v4/contents.html
  • WRF-Chem user's guide: https://ruc.noaa.gov/wrf/wrf-chem/
  • FARSITE user's guide: https://www.firelab.org/project/flammap
  • WindNinja user's guide: https://www.firelab.org/project/windninja
  • M. P. Groover. Fundamentals of Modern Manufacturing, Materials, Processes, and Systems. Prentice Hall. 1996
  • Karl T. Ulrich and Steven D. Eppinger. Product Design and Development. Third Edition, McGraw-Hill, 2004
  • Bernard P. Zeigler. Theory of Modeling and Simulation.  Academic Press. 2000
  • Sheldon Ros. Simulation. Academic Press. 2012.
  • Angela B. Shiflet, George W. Shiflet (Author). Introduction to Computational Science: Modeling and Simulation for the Sciences. Princeton University Press.2014.

 

 

Software

SolidEdge

WRF

FARSITE

WindNinja

VirtualBox