A novel computational inverse technique for load identification using the shape function method of moving least square fitting

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A novel shape function approach of dynamic load identification for the structures with interval uncertainty (2016, methodology): “A very short sampling step should be needed in order to describe the unknown dynamic load quite accurately, but the short sampling step can result in burdensome calculation and increase the ill- posedness of the inverse operation seriously (Liu et al. 2014).”
Multi-source random excitation identification for stochastic structures based on matrix perturbation and modified regularization method (2019, background): “On the contrary, it is relatively an easier way to measure the dynamic responses of the structure including dynamic strains,dynamic displacements or accelerations, which can be adopted to identify the dynamic loads in an indirect way [1-3].”
Time‐domain Galerkin method for dynamic load identification (2016, methodology): “[18, 19] proposed the shape function method based on moving least-square fitting method.”