Modulbeschreibung
Multibody vehicle dynamic simulation
Kürzel:
M_TuIT_EVA_1012
Durchführungszeitraum:
HS/21
ECTS-Punkte:
3
Lernziele:
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)
Verantwortliche Person:
Würsch Christoph
Standort (angeboten):
Buchs
Modultyp:
Standard-Modul für MSE Master of Science in Engineering BB STD_08 (BU)(Keine Semesterempfehlung)
Standard-Modul für MSE Master of Science in Engineering BB STD_16 (BU)(Keine Semesterempfehlung)
Standard-Modul für MSE Master of Science in Engineering BB STD_13 (BU)(Keine Semesterempfehlung)
Standard-Modul für MSE Master of Science in Engineering VZ STD_08 (BU)(Keine Semesterempfehlung)
Standard-Modul für MSE Master of Science in Engineering VZ STD_16 (BU)(Keine Semesterempfehlung)
Standard-Modul für MSE Master of Science in Engineering VZ STD_13 (BU)(Keine Semesterempfehlung)
Standard-Modul für Technik und IT MSE_20(Keine Semesterempfehlung)
ECTS-Punkte pro Kategorie
Fachliche Vertiefung / 3 Punkte
Fachliche Vertiefung / 3 Punkte
Fachliche Vertiefung / 3 Punkte
Fachliche Vertiefung / 3 Punkte
Fachliche Vertiefung / 3 Punkte
Fachliche Vertiefung / 3 Punkte
Fachliche Vertiefung / 3 Punkte
Modulbewertung
Bewertungsart:
Note von 1 - 6
Leistungsbewertung
Während des Semesters:
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:
Kurse in diesem Modul
Multibody vehicle dynamic simulation
Kürzel:
TuIT_EVA_1012
Arbeitsaufwand:
90
Semester:
1
Lernziele:
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)
Plan 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)
Kursart:
Durchführung gemäss Stundenplan
Ergänzende Veranstaltung mit Lektionen pro Woche
- Max. Teilnehmer: 99
- Harte Grenze: nein