A new method is presented for identifying the local stiffness of a structure from vibration test data. The method is based on a projection of the experimentally measured flexibility matrix onto the strain energy distribution in local elements or regional superelements. Using both a presumed connectivity and a presumed strain energy distribution pattern, the method forms a well-determined linear...

In this paper, following a two-stage methodology, the differential quadrature element (DQE) model of a three-story frame structure is updated for the vibration analysis. In the first stage, the mass and stiffness matrices are updated using the experimental natural frequencies. Then, having the updated mass and stiffness matrices, the structural damping matrix is updated to minimize the error be...

In recent years, numerous approaches have been proposed for detecting damage in structures, in which the flexibility-based Damage Locating Vector (DLV) method is one of the promising techniques. By computing a set of load vectors from the change of the flexibility matrix before and after damage and then applying them as static forces to analytical model for static computation, the DLV method is...

in recent years the aluminum matrix composites are gaining wide spread applications in automotive, aerospace, defense, sport and other industries. the reason for this is their exciting properties like high specific strength, stiffness, hardness, wear resistance, dimensional stability and designer flexibility. the present work reports on mechanical properties and microstructure analysis of al-si...

Canonical Correlation Analysis (CCA) is a classical technique for two-view correlation analysis, while Probabilistic CCA (PCCA) provides a generative and more general viewpoint for this task. Recently, PCCA has been extended to bilinear cases for dealing with two-view matrices in order to preserve and exploit the matrix structures in PCCA. However, existing bilinear PCCAs impose restrictive mod...

The new training literature suggests that in a monopsonistic market employers will not only pay for fi rm-specifi c training but also for general training if the risk of poaching is limited. This implies that training participation should decrease when competition for employees is higher among fi rms. Using worker level data for Germany we fi nd that the hypothesis is supported empirically. Spe...

We present a novel structure tensor for matrix-valued images. It allows for user defined parameters that add flexibility to a number of image processing algorithms for the segmentation and smoothing of tensor fields. We provide a thorough theoretical derivation of the new structure tensor, including a proof of the equivalence of its unweighted version to the existing structure tensor from the l...