Modulbeschreibung

Multibody vehicle dynamic simulation

Kurzzeichen:
M_TuIT_EVA_1012
ECTS-Credits:
3
Leitidee:

The students…

  • Know the basic principles of multibody dynamic modelling (K1)
    o Reduced linear models and integration thereof
    o Method of virtual displacements
    o Lagrange formalism and Lagrangian multipliers (constraints)
  • Are able to model a vehicle in Simpack and perform parameter studies in Simpack (e.g. as function of the road irregularities, spring and damper characteristics, gross weight) (K3)
  • Are able to implement a simplified linear dynamical vehicle model in Python and compare the results to a full 3D, non-linear dynamic general vehicle model (Simpack) (K3)
Modulverantwortung:
Würsch Christoph
Standort (angeboten):
Buchs
Modultyp:
Wahlpflicht-Modul für MSE Master of Science in Engineering BB STD_08 (BU)(Keine Semesterempfehlung)Kategorie:Fachliche Vertiefung (MSE-FachV)
Wahlpflicht-Modul für MSE Master of Science in Engineering BB STD_13 (BU)(Keine Semesterempfehlung)Kategorie:Fachliche Vertiefung (MSE-FachV)
Wahlpflicht-Modul für MSE Master of Science in Engineering BB STD_16 (BU)(Keine Semesterempfehlung)Kategorie:Fachliche Vertiefung (MSE-FachV)
Wahlpflicht-Modul für MSE Master of Science in Engineering VZ STD_08 (BU)(Keine Semesterempfehlung)Kategorie:Fachliche Vertiefung (MSE-FachV)
Wahlpflicht-Modul für MSE Master of Science in Engineering VZ STD_13 (BU)(Keine Semesterempfehlung)Kategorie:Fachliche Vertiefung (MSE-FachV)
Wahlpflicht-Modul für MSE Master of Science in Engineering VZ STD_16 (BU)(Keine Semesterempfehlung)Kategorie:Fachliche Vertiefung (MSE-FachV)
Wahlpflicht-Modul für Technik und IT MSE_20(Keine Semesterempfehlung)Kategorie:Fachliche Vertiefung (MSE-FachV)
Modulbewertung:
Note von 1 - 6

Leistungsnachweise und deren Gewichtung

Während der Unterrichtsphase:

Deliverable:
- executable and documented Jupyter Notebook with a Python implementation of a single track vehicle model [1] or a pitch-bounce model [3]
- Simpack simulation for a vehicle, parameter variation

Bewertungsart:
Note von 1 - 6
Gewichtung:

Deliverable:
- executable and documented Jupyter Notebook with a Python implementation of a single track vehicle model [1] or a pitch-bounce model [3]
- Simpack simulation for a vehicle, parameter variation

Bemerkungen:

Inhalte

Angestrebte Lernergebnisse (Abschlusskompetenzen):

The students…

  • Know the basic principles of multibody dynamic modelling (K1)
    o Reduced linear models and integration thereof
    o Method of virtual displacements
    o Lagrange formalism and Lagrangian multipliers (constraints)
  • Are able to model a vehicle in Simpack and perform parameter studies in Simpack (e.g. as function of the road irregularities, spring and damper characteristics, gross weight) (K3)
  • Are able to implement a simplified linear dynamical vehicle model in Python and compare the results to a full 3D, non-linear dynamic general vehicle model (Simpack) (K3)
Modul- und Lerninhalt:

1. Fundamentals of Mathematics and Kinematics (Schramm [1], ch. 2)
2. Kinematics of Multibody Systems (Schramm [1], ch. 3)
3. Equations of Motion of Complex Multibody Systems (Schramm [1], ch. 4)
4. Single Track Models (Schramm [1], ch. 10)