The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The frame structure is a familiar structural form in the civil engineering field. In order to detect the damages of structure and avoid unexpected invalidation, a new method of damage detection based on multi-resolution entropy was presented in this paper. It used wavelet multi-resolution analysis technique to dispose structure damage signal, and then utilized multi-resolution entropy to pick-up damage...
Based on the virtue of FBG sensors, the design and fabrication of FBG smart layer on the basis of modularization and integration of optical fiber self-diagnosing system were discussed in this paper. The test research results show that the FBG smart layer has little infection to embed smart-layer into composite material, and there is very good linearity relation between the FBG sensors wavelength change...
The self-diagnosis function is one of main research contents of smart structures. And it is the foundation of other functions realization of smart structures. Aiming at the localization of present structural damage detection methods and the virtue of Least Square Support Vector Machine arithmetic, Least Square Support Vector Machine (LS-SVM) used to detect damages in fiber smart structures was proposed...
A dynamic method based on hybrid algorithm RBFNN for damage identification of composite materials was proposed. By using wavelet series, the features of signals were extracted and input to hybrid algorithm RBFNN for training the network and identifying the damages. Finally, the experiment results show that this method can exactly identify the faults of composite materials.
The frame structure is a familiar structural form in the civil engineering field. In order to detect the damages of structure and avoid unexpected invalidation, the method of damage detection based on wavelet analysis and norm space was presented in this paper. It used wavelet analysis technique to dispose structure damage signal, and then utilized norm space to pick-up damage character information...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.