
Every vehicle programme faces the same tension: make it lighter for efficiency, range and performance, but keep it at least as safe in a crash. Take material out of the wrong place and you can lose a safety rating; add it everywhere and you waste weight and money.
Crash simulation with explicit Finite Element Analysis (FEA) resolves that tension. It shows how a structure folds, absorbs energy and protects the people inside, and lets engineers try new materials and shapes long before a vehicle is crashed for real. This guide explains how crash simulation works and how it supports lightweighting.
A vehicle crash is over in about a tenth of a second. Explicit solvers such as LS-DYNA, Ansys Explicit Dynamics and Abaqus/Explicit take very small time steps to follow the large deformations, folding, contact and tearing that happen in that time. A crash model includes:
The results show the deformation, how far parts intrude into the cabin, how much energy each part absorbs, and the crash pulse that sets the loads on the occupants. Our explicit dynamics impact simulation on foam shows the same approach on an energy-absorbing material, the kind used in bumpers and other energy absorbers.
A bonnet has to be stiff enough not to flutter at speed or dent easily, yet soft enough to cushion a head impact, with enough space underneath to deform before it reaches anything hard. Bumper beams, crash boxes and foam absorbers have a similar balance to strike between low-speed repair costs, pedestrian safety and high-speed crash performance.
Our car bonnet damage analysis compared flax and jute natural-fibre composites under load and in an explicit dynamics impact, tracking fibre and matrix damage separately to show which material holds up better.
Our FEA of a nylon injection-moulded part and our material comparison of polycarbonate, PA11, PA12 and PA12CF show how simulation picks the right plastic for the load. Mixed materials also bring joining questions, and welded joints need a fatigue check too, as explained in our guide to weld fatigue analysis.
In electric vehicles, the sills and crossmembers also protect the battery, which our guide to EV battery pack simulation covers in more detail. The same principles apply beyond cars: in our case study on a train's rubber-to-metal bonded side bumper, FEA helped reach a stiffness of 0.7 kN/mm and a fatigue life of more than 600,000 load cycles.
Virtual testing does not replace the crash tests needed for approval, but it means fewer prototypes and a much better chance that the first physical test passes. Confidence is built step by step: material coupon tests to calibrate the material models, component tests such as drop-tower impacts, and then the full vehicle, with the model correlated against the test at each stage.
The same explicit methods are used well beyond cars, for example in drop test simulation for consumer products.
Implicit FEA suits slow or steady loads, such as stiffness and strength checks. Explicit FEA suits short, violent events such as crashes, drops and impacts, with large deformation and lots of contact.
We work in LS-DYNA, Ansys Explicit Dynamics and Abaqus/Explicit, and choose the solver that fits your project and your existing models.
Yes. Composites are modelled with failure criteria that separate fibre and matrix damage, and plastics with properties that change with strain rate. Good material data makes the biggest difference to accuracy.
Not for approval, which still needs physical tests. It does cut the number of prototypes and tests, and greatly reduces the risk of a failed test late in the programme.
Send your CAD files, materials and load cases through our contact page. We will reply with a scope, timeline and quote.
Whether you are designing a crash structure, moving a part to composites or plastics, or protecting an EV battery, our engineers can show you how it behaves in a crash and where weight can come out safely. Send us your CAD files and requirements, and we will reply with a clear scope and quote.
Cover photo: Scott Greer on Unsplash
