Numerical and experimental studies of a substructural identification strategy

For structural health monitoring it is impractical to identify a large structure with complete measurement due to limited number of sensors and difficulty in field instrumentation. Furthermore, it is not desirable to identify a large number of unknown parameters in a full system because of numerical difficulty in convergence. A novel substructural strategy was presented for identification of stiffness matrices and damage assessment with incomplete measurement. The substructural approach was employed to identify large systems in a divide-and-conquer manner. In addition, the concept of model condensation was invoked to avoid the need for complete measurement, and the recovery process to obtain the full set of parameters was formulated. The efficiency of the proposed method is demonstrated numerically through multi-storey shear buildings subjected to random force. A fairly large structural system with 50 DOFs was identified with good results, taking into consideration the effects of noisy signals and the limited number of sensors. Two variations of the method were applied, depending on whether the sensor could be repositioned. The proposed strategy was further substantiated experimentally using an eight-storey steel plane frame model subjected to shaker and impulse hammer excitations. Both numerical and experimental results have shown that the proposed substructural strategy gave reasonably accurate identification in terms of locating and quantifying structural damage.

Investigating antecedents and consequences of brand identification

Purpose – This study aims to analyse the influences of prestige, satisfaction, and communication on brand identification and to show how brand identification influences word-of-mouth and brand repurchase. Design/methodology/approach – A theoretical model is developed and tested with a sample of car owners in the UK of two global car brands. Structural equation modelling was used with LISREL 8.54 and the maximum likelihood (ML) method. Findings – This paper draws mainly on the theory of social identity to provide a comprehensive understanding of conditions under which brand owners are likely to identify with their brand and the bases and consequences of such identification. It was shown that prestige, satisfaction, and communication effect brand identification. The study confirms that consumers' development of relationships via brand identification results in word of mouth about the brand and intentions to repurchase the brand. Furthermore, it was found that brand identification fully mediates the influences of prestige, satisfaction, and communication on word of mouth and brand repurchase. Research limitations/implications – The focus was on one country and one industry. Practical implications – Managers are provided with strategies that enhance the identification of their customers with their brand so that they can strengthen the customers' brand identification. Areas for future research are suggested. For instance, it could be interesting to test the model in a different industry and/or cultural context. Originality/value – Very few previous studies have looked at brand identification which is surprising considering it is such an important variable to influence word-of-mouth and brand repurchase. The study tests three antecedents to brand identification and two outcomes that have not been investigated previously. Overall, the study adds knowledge in this somewhat neglected area.