Seismic damage assessment of reinforced concrete structure using non-linear static analyses

2016 ◽  
Vol 21 (4) ◽  
pp. 1319-1330 ◽  
Author(s):  
Mohd. Zameeruddin Mohd. Saleemuddin ◽  
Keshav K. Sangle
Keyword(s):  
Reinforced Concrete ◽  
Concrete Structure ◽  
Damage Assessment ◽  
Seismic Damage ◽  
Reinforced Concrete Structure ◽  
Non Linear ◽  
Seismic Damage Assessment

Comprehensive Method of Seismic Damage Assessment of Reinforced Concrete Structures Based on CPM

2012 ◽  
Vol 166-169 ◽  
pp. 2304-2308
Author(s):  
Chao Feng Liu ◽  
Jing Yu Su ◽  
Xiao Dong Guo ◽  
Wei Wang
Keyword(s):  
Reinforced Concrete ◽  
Concrete Structure ◽  
Damage Assessment ◽  
Seismic Damage ◽  
Earthquake Damage ◽  
Index Number ◽  
Damage Analysis ◽  
Reinforced Concrete Structure ◽  
Mutation Model ◽  
Earthquake Damage Assessment

In order to improve the accuracy of earthquake damage assessment of reinforced concrete structure, the earthquake damage assessment mutation model and four-dimensional model of seismic damage analysis are established using catastrophe theory. Firstly, internal damage index, number of inelastic cycles, maximum inter-storey drift and energy-concentrated quotient were taken as evaluation factors. Value assignment and standardization of each evaluation index is conducted. The appropriate mutation model is selected to calculate the total mutation value of seismic damage and comparison with the evaluation criteria of seismic damage of reinforced concrete structure, the extent of structural damage is differentiated. Secondly, comprehensive consideration of people's initiative and non-linear characteristics of the system, a four-dimensional seismic damage analysis model is build based on the mutation assessment of earthquake damage. Finally, four different structures are calculated and the results are compared with the ones of variable fuzzy set theory, set-pair theory to verify the reasonableness and effectiveness of the method.

Study on Damage Assessment of Reinforced Concrete Structure after Fire

2012 ◽  
Vol 490-495 ◽  
pp. 3594-3597
Author(s):  
Yong Jun Wang ◽  
Zhen Qing Wang ◽  
Li Nan Zhu ◽  
Hong Qing Lv
Keyword(s):  
Mathematical Model ◽  
Reinforced Concrete ◽  
Concrete Structure ◽  
Damage Assessment ◽  
Assessment System ◽  
Assessment Model ◽  
Fuzzy Mathematics ◽  
Reinforced Concrete Structure ◽  
Qualitative Factors ◽  
Fuzzy Assessment

The damage assessment of reinforced concrete structure after fire was investigated by the pertinent theory of fuzzy mathematics and a mathematical model was established. With the establishment of the assessment system, the ascertain of the factorial weighting, the numeric quantification of various qualitative factors and quantitative factors and the application of fuzzy assessment , a new assessment system which based on the theory of fuzzy mathematics and was suitable to the damage assessment of reinforced concrete structure after fire was formed. An elaborate introduction on the establishment of the means and process of the assessment model was made, finally a practical example was showed to concretely illustrate the means and process of the assessment system.

scholarly journals Multiple-Input Convolutional Neural Network Model for Large-Scale Seismic Damage Assessment of Reinforced Concrete Frame Buildings

2021 ◽  
Vol 11 (17) ◽  
pp. 8258
Author(s):  
Chen Xiong ◽  
Jie Zheng ◽  
Liangjin Xu ◽  
Chengyu Cen ◽  
Ruihao Zheng ◽  
...  
Keyword(s):  
Neural Network ◽  
Reinforced Concrete ◽  
Convolutional Neural Network ◽  
Damage Assessment ◽  
Prediction Accuracy ◽  
Seismic Damage ◽  
Computation Efficiency ◽  
Frame Buildings ◽  
Multiple Input ◽  
Seismic Damage Assessment

This study introduces a multiple-input convolutional neural network (MI-CNN) model for the seismic damage assessment of regional buildings. First, ground motion sequences together with building attribute data are adopted as inputs of the proposed MI-CNN model. Second, the prediction accuracy of MI-CNN model is discussed comprehensively for different scenarios. The overall prediction accuracy is 79.7%, and the prediction accuracies for all scenarios are above 77%, indicating a good prediction performance of the proposed method. The computation efficiency of the proposed method is 340 times faster than that of the nonlinear multi-degree-of-freedom shear model using time history analysis. Third, a case study is conducted for reinforced concrete (RC) frame buildings in Shenzhen city, and two seismic scenarios (i.e., M6.5 and M7.5) are studied for the area. The simulation results of the area indicate a good agreement between the MI-CNN model and the benchmark model. The outcomes of this study are expected to provide a useful reference for timely emergency response and disaster relief after earthquakes.

Seismic damage assessment of reinforced concrete bridge columns

2005 ◽  
Vol 27 (4) ◽  
pp. 576-592 ◽  
Author(s):  
T.-H. Kim ◽  
K.-M. Lee ◽  
Y.-S. Chung ◽  
H.M. Shin
Keyword(s):  
Reinforced Concrete ◽  
Damage Assessment ◽  
Seismic Damage ◽  
Bridge Columns ◽  
Concrete Bridge ◽  
Reinforced Concrete Bridge ◽  
Seismic Damage Assessment
Sign in / Sign up

Export Citation Format

Share Document