Several methods have been developed recently to identify moving forces on a
beam. The results from all of them exhibit fluctuations at the beginning a
nd end of the time history and they are natural outcomes of the ill-conditi
oned inverse problem. Accuracy of the identified Forces also depends on the
parameters of the beam-force system which have not been systematically stu
died. This paper employs Tikhonov regularization technique to provide bound
s to the ill-conditioned results in the identification problem. The calcula
tion of the optimal regularization parameter is discussed. The improved alg
orithm is then used to study the effect of different parameters on the iden
tification results through single-force and multi-forces identification. Bo
th the Timoshenko beam theory and the Euler-Bernoulli beam theory are inclu
ded in the study for a comparison. Laboratory results on two moving forces
identification are also presented for illustration. Timoshenko beam model i
s found better than the Euler-Bernoulli beam model in the identification, a
nd the limits of applications of the moving force identification method are
also reported. (C) 2000 Academic Press.