There are many advantages of using thermography for updating numerical models. These include the fact that it can be performed in-situ, it can cover large areas and it is a quantitative method. In this paper, a numerical model of a bicycle frame will be updated and optimized by the surface temperature distribution captured with pulsed thermography. These results will be compared and benchmarked against FRF measurement data as reference. The chosen temperature decay measurement to be used as reference data will be of key importance. Both updating techniques will be compared with respect to measurement time and accuracy.