scholarly journals Probabilistic Evaluation System of Seismic Damage States for Bridge Structures.

2001 ◽  
Vol 50 (1) ◽  
pp. 32-39
Author(s):  
Akihiko KANEYOSHI ◽  
Ayaho MIYAMOTO ◽  
Hideaki NAKAMURA ◽  
Eiji NAKAYAMA
Keyword(s):  
Evaluation System ◽  
Seismic Damage ◽  
Probabilistic Evaluation ◽  
Bridge Structures ◽  
Damage States

scholarly journals Probabilistic evaluation of seismic damage states of bridge structure system.

1999 ◽  
pp. 31-42
Author(s):  
Akihiko KANEYOSHI ◽  
Ayaho MIYAMOTO ◽  
Takehito KOGE ◽  
Tsunoru NAKASHIMA
Keyword(s):  
Seismic Damage ◽  
Bridge Structure ◽  
Structure System ◽  
Probabilistic Evaluation ◽  
Damage States

Safety Assessment of Bridge Structures Using Ambient Vibration

2012 ◽  
Vol 83 ◽  
pp. 151-156
Author(s):  
Chin Hyung Lee ◽  
Young Jun You ◽  
Ki Tae Park ◽  
Bong Chul Joo ◽  
Bo Mi Lee ◽  
...  
Keyword(s):  
Carrying Capacity ◽  
Evaluation System ◽  
Safety Assessment ◽  
Ambient Vibration ◽  
Load Carrying Capacity ◽  
Bridge Structure ◽  
Efficient Manner ◽  
Load Carrying ◽  
Bridge Structures ◽  
Estimation System

In this study, relative load-carrying capacity (RLC) evaluation system in which the change of load-carrying capacity of a bridge structure can be estimated through the variation of the dynamic property, which is induced by the stiffness change due to the deterioration of the bridge, by using ambient traffic-induced vibration was proposed. The system uses the natural excitation technique in conjunction with the eigensystem realization algorithm for identification of modal parameters. Indoor test using a truss-typed model bridge and field measurement were performed to verify the suggested system and it was shown that the RLC estimation system is suitable for the safety assessment of bridge structures in a simple and efficient manner.

scholarly journals Nonlinear Dynamic Analysis of Masonry Buildings and Definition of Seismic Damage States

2016 ◽  
Vol 10 (1) ◽  
pp. 192-209 ◽  
Author(s):  
A.J. Kappos ◽  
V.K. Papanikolaou
Keyword(s):  
Fragility Curves ◽  
Pushover Analysis ◽  
Nonlinear Dynamic Analysis ◽  
Critical Issue ◽  
Seismic Damage ◽  
Masonry Building ◽  
Nonlinear Behaviour ◽  
Building Stock ◽  
Damage States ◽  
Diaphragm Action

A large part of the building stock in seismic-prone areas worldwide are masonry structures that have been designed without seismic design considerations. Proper seismic assessment of such structures is quite a challenge, particularly so if their response well into the inelastic range, up to local or global failure, has to be predicted, as typically required in fragility analysis. A critical issue in this respect is the absence of rigid diaphragm action (due to the presence of relatively flexible floors), which renders particularly cumbersome the application of popular and convenient nonlinear analysis methods like the static pushover analysis. These issues are addressed in this paper that focusses on a masonry building representative of Southern European practice, which is analysed in both its pristine condition and after applying retrofitting schemes typical of those implemented in pre-earthquake strengthening programmes. Nonlinear behaviour is evaluated using dynamic response-history analysis, which is found to be more effective and even easier to apply in this type of building wherein critical modes are of a local nature, due to the absence of diaphragm action. Fragility curves are then derived for both the initial and the strengthened building, exploring alternative definitions of seismic damage states, including some proposals originating from recent international research programmes.

scholarly journals Bridge Seismic Damage Assessment Model Applying Artificial Neural Networks and the Random Forest Algorithm

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Hanxi Jia ◽  
Junqi Lin ◽  
Jinlong Liu
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Random Forest ◽  
Rapid Assessment ◽  
Seismic Damage ◽  
Assessment Model ◽  
Random Forest Algorithm ◽  
Importance Value ◽  
Damage States ◽  
Artificial Neural

Earthquakes cause significant damage to bridges, which have a very strategic location in transportation services. The destruction of a bridge will seriously hinder emergency rescue. Rapid assessment of bridge seismic damage can help relevant departments to make judgments quickly after earthquakes and save rescue time. This paper proposed a rapid assessment method for bridge seismic damage based on the random forest algorithm (RF) and artificial neural networks (ANN). This method evaluated the relative importance of each uncertain influencing factor of the seismic damage to the girder bridges and arch bridges, respectively. The input variables of the ANN model were the factors with higher importance value, and the output variables were damage states. The data of the Wenchuan earthquake were used as a testing set and a training set, and the data of the Tangshan earthquake were used as a validation set. The bridges under serious and complete damage states are not accessible after earthquakes and should be overhauled and reinforced before earthquakes. The results demonstrate that the proposed approach has good performance for assessing the damage states of the two bridges. It is robust enough to extend and improve emergency decisions, to save time for rescue work, and to help with bridge construction.

scholarly journals A Comparative Test Study on the Seismic Damage Sustained by Frame-Core Tube Structures

2019 ◽  
Vol 2019 ◽  
pp. 1-19
Author(s):  
Zuohua Li ◽  
Liang Chen ◽  
Jun Teng
Keyword(s):  
Seismic Performance ◽  
Seismic Design ◽  
Optimization Model ◽  
Design Method ◽  
Seismic Damage ◽  
Comparative Test ◽  
Core Tube ◽  
Damage States ◽  
The Relationship ◽  
Tube Structure

The overall damage sustained by a structure can be controlled in the current damage-based seismic design, but the rationality of the relationship among the damage states of the components in the structure and the influences of those states on the overall seismic performance of the structure are currently ignored. In response to this problem, a comparative test was performed in this paper to study the seismic damage performances of two frame-core tube structure models, namely, an optimization model designed through the optimization of the component damage states to achieve the relationship among those damage states proposed in this paper and a normative model designed through the seismic design method based on Chinese codes. By comparing the experimental data of these two models, the relationship among the component damage states was discussed comprehensively, and the influences of those states on the overall seismic performance of the frame-core tube structure were analyzed. The proposed relationship among the component damage states in the optimization model can effectively limit the development of overall damage and improve the internal force response of the structure.

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