scholarly journals DynaView: General Dynamic Visualization Model for SHM

2012 ◽  
Vol 2012 ◽  
pp. 1-13
Author(s):  
Peng Sun ◽  
Ziyan Wu ◽  
Qingyi Hua ◽  
Zhanhuai Li ◽  
Muning Kang

We present a general dynamic visualization model named DynaView to construct virtual scenes of structural health monitoring (SHM) process. This model consists of static, dynamic, and interaction submodels. It makes the visualization process dynamic and interactive. By taking an example of a simplified reinforced concrete beam structure model, we obtain raw data through the examination. We conduct the effective general and practicable assessment of structural damage conditions based on fuzzy pattern recognition to compute the assessment results. We construct the DynaView model of the sample structure and visualize it. The instance indicates that DynaView model is efficient and practically applicable.

2010 ◽  
Vol 163-167 ◽  
pp. 3745-3748
Author(s):  
Lan Ying Wu ◽  
Yan Lin Wang ◽  
Fang Hong

Based on the reinforced concrete beam structure bonding with steel plate are consisted of different materials, the finite element model of the reinforced concrete beam structure bonding with steel plate was established using the whole model and the separated model respectively, the deformation, stress, strain and limit load of the reinforced concrete beam structure under the symmetrical concentrated load and the uniformly distributed load were studied using ANSYS. The research results show that the limit load value based on the finite element simulation is basically equal with the experimental value, there has little error between them, but within the scope of control in error, and the limit load under the uniformly distributed load is greater than the symmetrical concentrated load; The results from the whole model and the separated model are basically equal with the experimental results, which show that it’s feasible using the finite element simulation to analyze the reinforced concrete beam structure bonding with steel plate.


2011 ◽  
Vol 255-260 ◽  
pp. 188-192
Author(s):  
Xiao Yu Chen ◽  
Kun Ma ◽  
Jia Quan Wu ◽  
Xiang Guo

The detection of the structur[1]al damage by the method of changes in frequency is limited in detecting single location of the structural damage. This paper try to solve the problems of how to detect the multi-location of the structural damages and the corresponding severity. Therefore, a simple supported large-size reinforced concrete beam in different damage conditions is simulated by the finite element software-ANSYS. Cruves of frequency changes ratio can be maped by the date of the simulation, the locations of damages and corresponding severity can be detection by judging the superposition of the intersections of many curves of the frequent changes ratio. The simulation results demonstrate that the method proposed in this paper cannot only detection the multi-locations of the structural damages accurately, but also analyze the severity of the structural damages qualitatively. Corresponding author: Makun, School of Science, Kunming University of Science and Technology, [email protected]


CORROSION ◽  
1988 ◽  
Vol 44 (10) ◽  
pp. 761-765 ◽  
Author(s):  
S. Feliu ◽  
J. A. Gonzalez ◽  
C. Andrade ◽  
V. Feliu

2021 ◽  
pp. 147592172199847
Author(s):  
William Soo Lon Wah ◽  
Yining Xia

Damage detection methods developed in the literature are affected by the presence of outlier measurements. These measurements can prevent small levels of damage to be detected. Therefore, a method to eliminate the effects of outlier measurements is proposed in this article. The method uses the difference in fits to examine how deleting an observation affects the predicted value of a model. This allows the observations that have a large influence on the model created, to be identified. These observations are the outlier measurements and they are eliminated from the database before the application of damage detection methods. Eliminating the outliers before the application of damage detection methods allows the normal procedures to detect damage, to be implemented. A multiple-regression-based damage detection method, which uses the natural frequencies as both the independent and dependent variables, is also developed in this article. A beam structure model and an experimental wooden bridge structure are analysed using the multiple-regression-based damage detection method with and without the application of the method proposed to eliminate the effects of outliers. The results obtained demonstrate that smaller levels of damage can be detected when the effects of outlier measurements are eliminated using the method proposed in this article.


2020 ◽  
Author(s):  
Pavlina Mateckova ◽  
Zuzana Marcalikova ◽  
David Bujdoš ◽  
Marie Kozielova

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