http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
A two-step approach for joint damage diagnosis of framed structures using artificial neural networks
Qu, W.L.,Chen, W.,Xiao, Y.Q. Techno-Press 2003 Structural Engineering and Mechanics, An Int'l Jou Vol.16 No.5
Since the conventional direct approaches are hard to be applied for damage diagnosis of complex large-scale structures, a two-step approach for diagnosing the joint damage of framed structures is presented in this paper by using artificial neural networks. The first step is to judge the damaged areas of a structure, which is divided into several sub-areas, using probabilistic neural networks with natural Frequencies Shift Ratio inputs. The next step is to diagnose the exact damage locations and extents by using the Radial Basis Function (RBF) neural network with the second Element End Strain Mode of the damaged sub-area input. The results of numerical simulation show that the proposed approach could diagnose the joint damage of framed structures induced by earthquake action effectively and has reliable anti-jamming abilities.
Moving Train Loads and Parameters Identification on a Steel Truss Girder Model
Y. Wang,W. L. Qu,C. Xiao 한국강구조학회 2015 International Journal of Steel Structures Vol.15 No.1
This paper presents a new system for moving train loads and its parameters identification. A model of simply supported trussgirder is constructed according to a side span of Poyang Lake continuous steel truss girder. The moving train loads are simulatedby a model train with three coaches. In this system, time history displacements of measurement stations on bridge aresimultaneously measured by using displacement image monitoring system when the model train moves across the bridge. Basicparameters of the model train, including moving speed, axle numbers and axle spacing, are identified with a parameteracquisition system. Finally moving train loads are identified by using multi-axle moving loads identification system. A seriesof experiments have been conducted. Effects of a few main parameters on the proposed system are investigated. The resultshows that this system is a feasible and accurate method for the identification and makes preparations for the practical practicein engineering.