Non-destructive damage identification is one of the most important problems in maintenance and reliability of composite structures. The methods applied for damage identification should be sensitive for external and internal damages and provide their precise localization. One of the promising methods for the damage identification is the wavelet transform applied to modal shapes of investigated o...

Recently, an innovative algorithm has been proposed by the authors for the identification of structural damage under unknown external excitations. However, identification accuracy of this proposed deterministic algorithm decreases under high level of measurement noise. A probabilistic approach is therefore proposed in this paper for damage identification considering measurement noise uncertaint...

Aiming at the problem of automatic identification and evaluation of road damage degree, the road damage identification and degree assessment algorithms based on unmanned vehicles experimental platform are studied. The road crack segmentation extraction method based on adaptive sliding window is studied. On this basis, the road damage crack classifies and identifies according to the crack geomet...

The success of vibration-based damage identification procedures depends significantly on the accuracy and completeness of the available identified modal parameters. This paper investigates the level of confidence in the damage identification results as a function of uncertainty in the identified modal parameters through a probabilistic damage identification strategy, i.e., Bayesian finite eleme...

To avoid the false results of deterministic identification methods induced by uncertainties, a fuzzy nearness-based method is proposed for the damage identification of bridge. An improved index based on ratios of modal shape components is used as identification measurements. The knowledge base for damage identification is established through corresponding relationship between fuzzified measurem...

Preliminary notes This paper outlines the research aimed at developing an effective and reliable monitoring method for structural damage identification. A computational procedure for a direct iteration technique based on the non-linear perturbation theory is proposed to identify structural damage, when information about only natural frequencies for the damaged structure is required. The present...

A novel two stage Improved Radial Basis Function (IRBF) neural network for the damage identification of a multimember structure in the frequency domain is presented. The improvement of the proposed IRBF network is carried out in two stages. Conventional RBF network is used in the first stage for preliminary damage prediction and in the second stage reduced search space moving technique is used ...

This paper, which is a part of an ongoing research study, describes a Genetic Algorithm-based approach towards a global damage identification framework for the continuous/periodic monitoring of civil structures. In order to localise and estimate the severity of damage regions, a one stage model-based Bayesian probabilistic damage detection approach is proposed. The method is based on response p...