scholarly journals Seismic damage assessment and FRP retrofit of reinforced concrete structures

2014 ◽  
Author(s):  
Vui Cao Van
Keyword(s):  
Reinforced Concrete ◽  
Damage Assessment ◽  
Concrete Structures ◽  
Seismic Damage ◽  
Reinforced Concrete Structures ◽  
Seismic Damage Assessment ◽  
Frp Retrofit

scholarly journals Damage Assessment of Reinforced Concrete Structures: A Review

2022 ◽  
pp. 1-7
Author(s):  
Gomasa Ramesh ◽  
Keyword(s):  
Reinforced Concrete ◽  
Damage Assessment ◽  
Structural Damage ◽  
Concrete Structures ◽  
Practical Method ◽  
Assessment Method ◽  
Reinforced Concrete Structures ◽  
Current Response ◽  
Damage Indices ◽  
Seismic Damage Assessment

Damage may be assessed using several damage indices with values associated with different structural damage states. The usefulness of a variety of current response-based damage indices in seismic damage assessment is addressed and critically assessed. A novel rational damage assessment method is provided, which measures the structure’s physical reaction characteristics. A practical method based on various analyses is given to evaluate the damaged structures in earthquakes of different intensities. This paper provides an overview of previous research works on the damage assessment of the reinforced concrete structures. This study may be helpful for easy understanding about the damage assessment of reinforced concrete structures and reduce the impacts of disaster and surrounding structures.

scholarly journals Damage Assessment of Reinforced Concrete Structures: A Review

2022 ◽  
Vol 1 (3) ◽  
pp. 1-7
Author(s):  
Gomasa Ramesh ◽  
Keyword(s):  
Reinforced Concrete ◽  
Damage Assessment ◽  
Structural Damage ◽  
Concrete Structures ◽  
Practical Method ◽  
Assessment Method ◽  
Reinforced Concrete Structures ◽  
Current Response ◽  
Damage Indices ◽  
Seismic Damage Assessment

Damage may be assessed using several damage indices with values associated with different structural damage states. The usefulness of a variety of current response-based damage indices in seismic damage assessment is addressed and critically assessed. A novel rational damage assessment method is provided, which measures the structure’s physical reaction characteristics. A practical method based on various analyses is given to evaluate the damaged structures in earthquakes of different intensities. This paper provides an overview of previous research works on the damage assessment of the reinforced concrete structures. This study may be helpful for easy understanding about the damage assessment of reinforced concrete structures and reduce the impacts of disaster and surrounding structures.

Damage Assessment of Reinforced Concrete Structures Using Fractal Analysis of Residual Crack Patterns

2013 ◽  
Vol 53 (9) ◽  
pp. 1607-1619 ◽  
Author(s):  
A. Farhidzadeh ◽  
E. Dehghan-Niri ◽  
A. Moustafa ◽  
S. Salamone ◽  
A. Whittaker
Keyword(s):  
Reinforced Concrete ◽  
Fractal Analysis ◽  
Damage Assessment ◽  
Concrete Structures ◽  
Reinforced Concrete Structures ◽  
Crack Patterns

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.

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