the problem of crack identification in continuous beam like structures is considered. the cracks’ locations and their depths are identified by employing experimental modal test results performed on the structure. the cracks are modeled using generic elements to include the coupling effects between shear forces and bending moments at the crack section. in the identification procedure eigen- sens...

Introduction: In the case that the state-space model class is nonlinear, Kalman filter and RTS smoother breaks down. Although it is always possible to linearize the nonlinear model so that Kalman filter and RTS smoother can still apply approximately, they can be not reliable. On the other hand, stochastic simulation approaches are not limited to linear model classes and can be adopted to draw s...

this paper presents an overview of model updating and particularly its application for updating of frame model. in this article a mathematical model of the frame was produced with finite element method. the frame was subjected to hammer modal testing. then the results of the modal testing were compared with those predicted with the model. this comparison revealed discrepancies between these two...

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This work proposes a distribution-free stochastic model updating framework to calibrate the joint probabilistic distribution of multivariate correlated parameters. In this framework, marginal distributions are defined as staircase density functions and correlation structure is described by Gaussian copula function. The first four moments coefficients updated an approximate Bayesian computation,...

Joint parameter identification is a key problem in the modeling of assembled complex structural. Dynamic behavior of mechanical joints may be with random feature due to the stochastic properties of preload, joint geometry, contact surface and its finishes, etc. A procedure for stochastic mechanical joint identification based on a novel model updating technique combined with probabilistic approa...