Damage Localization and Finite-Element Model Updating Using Multiresponse NDT Data

Abstract

New techniques for both finite-element model updating and damage localization are presented using multiresponse nondestructive test ͑NDT͒ data. A new protocol for combining multiple parameter estimation algorithms for model updating is presented along with an illustrative example. This approach allows for the simultaneous use of both static and modal NDT data to perform model updating at the element level. A new damage index based on multiresponse NDT data is presented for damage localization of structures. This index is based on static and modal strain energy changes in a structure as a result of damage. This method depicts changes in physical properties of each structural element compared to its initial state using NDT data. Deficient or potentially damaged structural elements are then selected as the unknown parameters to be updated by parameter estimation. Error function normalization, error function stacking, and multiresponse parameter estimation methods are proposed for using multiple data types for simultaneous stiffness and mass parameter estimation. Also, multiple sets of measurements with various sizes and missing data points can be utilized. This paper uses a laboratory grid model of a bridge deck built at the University of Cincinnati Infrastructure Institute and the corresponding NDT data for validation of the above damage localization and model updating methods. Multiresponse parameter estimation has been utilized to update the stiffness of bearing pads, and both the stiffness and mass of the connections, using static and dynamic NDT data. The static and modal responses of the updated grid model presented a closer match with the NDT data than the responses from the initial model.

Hybrid probabilities and error-domain structural identification using ambient vibration monitoring

“…Since then, there has been an increasing popularity for Bayesian-updating methodologies [3,4]. Many applications of dynamic monitoring of bridges can be found in the literature, for example [3,9,13,14,23,26,31,33,38,40,41,46,49]. Some of these studies, such as [3] and [14], explicitly included uncertainties in the identification process.…”

Configuring and enhancing measurement systems for damage identification

“…The task of interpreting measurements falls into the broad area of system identification [3]. Research in system identification has focused on model updating techniques [4,5] using both static [6][7][8][9] and dynamic loads [10][11][12][13]. Model updating methods estimate values of unknown parameters of a mathematical model of the structure on the basis of the assumption that the model that best fits measurements is the correct model.…”

Low Frequency Identification of Critical States of Transmission Tower Structures

“…It can be long-term damage causing deterioration of material properties of certain elements of the structure due to ageing and corrosion. On the other hand, the damage may be directly caused by theft or breakage of certain elements (Sanayei et al 2006). Therefore, supporting structures of overhead power lines should be subject to monitoring, which would allow the identification of critical points in individual towers (Yin et al 2009).…”