2001
DOI: 10.1006/jsvi.2001.3629
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Moving Force Identification Studies, Ii: Comparative Studies

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Cited by 41 publications
(16 citation statements)
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“…A detailed study on the comparative merits and limitations of the four moving force identi"cation methods is presented in the accompanying report [13]. …”
Section: Examplesmentioning
confidence: 99%
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“…A detailed study on the comparative merits and limitations of the four moving force identi"cation methods is presented in the accompanying report [13]. …”
Section: Examplesmentioning
confidence: 99%
“…Table 4 shows that all the four identi"cation methods can e!ectively identify the two moving axle loads and both TDM and FTDM have good identi"cation accuracy. A detailed laboratory study on the comparative merits and limitations of the four moving force identi"cation methods was carried out [14] and some of the results are presented in the accompanying paper [13]. 8.…”
Section: Experimental Validationmentioning
confidence: 99%
“…Consequently, there has been a considerable amount of research efforts towards identification of dynamic vehicle axle loads or moving forces from measured bridge responses including strain, displacement, acceleration, and bending moment [1][2][3][4][5][6][7][8][9][10][11][12][13]. For example, Law et al [7] introduced a regularization method in the ill-posed inverse problem to provide bounds to the identified moving forces.…”
Section: Introductionmentioning
confidence: 98%
“…After that, a time domain technique for load identification by simplifying bridge and moving loads as an orthotropic plate and a group of time varying forces were presented (Zhu and Law, 2000). Subsequently, a moving force identification system (FMIS) was gradually formed by merging the four methods together, including interpretive method I (Connor and Chan, 1988), interpretive method II , time domain method (Law and Chan, 1997) and frequency time domain method , according to their own merits and applicability (Chan et al, 2001a(Chan et al, , 2001bYu and Chan, 2007). In recent years, the identification method based on optimization technique have a further development.…”
Section: Introductionmentioning
confidence: 99%