ABSTRACT
Both vibration-based Structural Damage Detection (SDD) and Moving Force Identification (MFI) are two important issues in the field of bridge Structural Health Monitoring (SHM). Many scholars have paid attention and proposed lots of effective methods to identify either one of them (Yu & Chan, 2007, Farrar et al., 2001). Most of the proposed methods are applicable when either structural damage or moving force is known. However, the unknown structural damages and moving forces are always coexisted in practice. This limits the practicability of the conventional identification methods. As a result, many researchers have explored the techniques on simultaneous identification of inputs and structural damages. Based on the dynamic response sensitivity, Lu & Law (2007) proposed a method to identify both the system parameters and input forces from output only. The method employed a two-step iteration procedure, in which the forces and structural parameters are updated separately. Zhang et al. (2011) extended their work to present a probabilistic damage identification approach with uncertainties under unknown input. The method treated damages and
concept and load shape function (Pan & Yu, 2014), are also proposed. In practice, the damage always occurs on the few structural elements, i.e. the damage factor vector is sparse. However, all the above simultaneous identification methods have not taken this prior knowledge into account.
