Gaussian mixture model and delay-and-sum based 4D imaging of damage in aircraft composite structures under time-varying conditions

•We propose a Gaussian mixture model and delay-and-sum based 4D imaging method.•The time-invariant feature signal can be constructed by adopting GMM.•The 4D imaging can generate a serial of images with damage gradually emerging.•Experimental results prove the proposed method under temperature variation.