Study of dynamic response of crane system via surrogates based on Karhunen–Loève expansion and neural networks

This paper investigates the dynamic response of the main beam (i.e., girder) of an overhead crane by a surrogate technique based on truncated Karhunen–Loève (KL) expansion and neural networks.