Abstract. This paper deals with modal parameters identification using output-only data. A linear, time-invariant, finite dimensional mechanical system is considered, which is described by a stochastic state-space model excited by unknown operating forces. In this approach, the stochastic state-space model considers the errors due to state-variable and measurements, as integrant parts of the mod...

A full-scale seven-story reinforced concrete shear wall building structure was tested on the UCSD-NEES shake table in the period October 2005 January 2006. The shake table tests were designed so as to damage the building progressively through several historical seismic motions reproduced on the shake table. A sensitivitybased finite element (FE) model updating method was used to identify damage...

In this paper, topology optimization is utilized for damage detection in three dimensional elasticity problems. In addition, two mode expansion techniques are used to derive unknown modal data from measured data identified by installed sensors. Damages in the model are assumed as reduction of mass and stiffness in the discretized finite elements. The Solid Isotropic Material with Penalization (...

Previous dynamic characterizations of the cercal mechanosensory hairs of crickets have generally been limited to the first resonant frequency and associated deflection shape. A more complete description of the mechanical dynamics of these structures could be obtained by an experimental modal analysis. This paper describes a method by which a full experimental modal analysis, giving natural freq...

This paper proposes a method of personal identification based on tongue image. Tongue image have many advantage for personal identification and verification. In this paper a texture tongue features are extracted based on steerable filters and WLD (Weber Law Descriptors) transform. These features can be used in forensic applications and with other robust biometrics features can combined multi mo...

The paper deals with the possibilities of using mathematical apparatus of a stochastic time series for stochastic systems identification and modeling, especially mechanical ones. Its purpose is to briefly characterize fundamental terms and equations of mathematical apparatus of time series, to describe the algorithm of a statistically adequate discrete model of a stochastically dynamic system t...

Histopathological imaging of tissues often requires extensive sample preparation including fixation and staining in order to highlight characteristic alterations associated with diseases. Herein, we report an integrated spectro-microscopy approach based on a combination of multi-modal multi-photon imaging and Raman micro-spectroscopy and demonstrate label-free characterization of the structure-...

The present study examined the performance of two groups of amnesic subjects on a cross-modal identification task. It was found that subjects with Korsakoff's disease did not differ from alcoholic controls on their ability to match the tactile feel of an arc with the visual appearance of the full circle from which the arc was taken. The postencephalitic subjects were, however, impaired on this ...

The paper summarizes the results of recent ambient vibration tests and operational modal analyses carried out on the new curved cable-stayed bridge erected in the Commercial Harbour of Porto Marghera (Venice, Italy). The ambient vibration tests were carried out as a part of the reception tests of the bridge before its opening and included the recordings of the system response in selected points...

This paper aims to present the newly designed acoustic emission AE instrument for the in-situ monitoring of corrosion damages of aircraft structures. The work was theoretically based on the combination of modal AE theory and AE parameter analysis technique. Previous research had shown that identification of corrosion AE and background noise by modal acoustic emission(MAE) technique was possible...