BEng coursework · 2025

Van frame vibration analysis in Siemens NX

Modal and harmonic FEA of a steel van frame, validated against real-world modal testing, then used to find the most weight-efficient way to stiffen it.

  • ContextVibration & noise control coursework, Oxford Brookes University
  • RoleIndividual project
  • MaterialS275 structural steel
Siemens NXModal analysisHarmonic analysisTest validationDesign optimisation
Colour contour of a van frame mode shape from Siemens NX

Key numbers

<5%
error between FE and experimental natural frequencies
78.9 → 94.3 Hz
key resonance raised with corner support struts
−39%
peak displacement at resonance
+32%
mass, the lightest of the three fixes

The problem

Vibration in a vehicle frame drives ride comfort, noise and fatigue. The task was to predict how a steel van frame behaves dynamically, prove the model against physical tests, and find a stiffening fix that doesn't add excessive weight.

Van frame geometry and dimensions
Van frame geometry and dimensions

What I did

  • Mesh convergence: refined the FE mesh from 17,844 to over 1.2 million elements, settling on ~217,500 elements for accuracy without wasted solve time.
  • Modal analysis: identified the first three modes: torsion, lateral bending and vertical bending.
  • Validation: compared against experimental modal analysis (impact hammer and accelerometers). Errors were +4.8%, +0.2% and −1.8%, inside the accepted ±10%.
  • Harmonic analysis: applied a 1 N vertical force at a spring mount and found the dominant resonance at 78.93 Hz (0.454 mm peak).
Mode 1 (torsion): FE prediction (left) vs experimental modal test (right)
Mode 1 (torsion): FE prediction (left) vs experimental modal test (right)

Design modifications

DesignResonancePeak displacementMass increase
Baseline (2 mm walls)78.93 Hz0.454 mmn/a
Corner support struts94.29 Hz0.275 mm+32%
Walls thickened to 5 mm94.89 Hz0.271 mm+173%
Cross bracing85.77 Hz0.229 mm+221%

Corner struts gave almost the same gain as thicker walls for less than a fifth of the added mass, the best balance for a weight-sensitive vehicle.

Gallery

What I'd do next

  • Swap steel for aluminium alloys or fibre-reinforced composites to cut the mass penalty.
  • Use more sensors and better boundary conditions in testing to tighten validation further.

The wider coursework also covered a Simulink 3-DOF ride comfort model and experimental modal testing of a steel beam.