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.
Half-through arch bridge is an important traffic structure, so it is extremely valuable to study the damage location questions on the condition of suspender damage. Based on the finite element modal, the efficiency of the variation ratio of curvature is researched in this paper. As it turned out, variation ratio of curvature which is a modal parameter, could locate the initial damage position, as...
Method of support vector machine (SVM) as a new machine learning algorithm has shown its superiority of the ability of regression in the fields of damage identification. Through setting variation displacement of mode shape to the feature parameters of damage identification, the method of the damage identification of long-span cable-stayed bridge based on SVM is presented. The method of least square...
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.