Seismic damage indices for RC buildings: evaluation of concepts and procedures

1997 ◽  
Vol 1 (1) ◽  
pp. 78-87 ◽  
Author(s):  
A J Kappos
Keyword(s):  
Seismic Damage ◽  
Rc Buildings ◽  
Damage Indices

Seismic Damage Analysis on the Continuous Girder Bridge of Urban Rail Transit Line

2014 ◽  
Vol 488-489 ◽  
pp. 398-402 ◽  
Author(s):  
Hai Qing Li ◽  
Yong Jun Ni ◽  
Xin Gang Liu ◽  
Jin Xing Yan
Keyword(s):  
Seismic Performance ◽  
Evaluation Method ◽  
Research Direction ◽  
Seismic Damage ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Damage Analysis ◽  
Seismic Performance Evaluation ◽  
Damage Indices ◽  
Urban Rail

Seismic damage was the key reason which resulted in the serviceability degradation or collapse of the bridge. How to quantify the seismic damage and evaluate the seismic performance of the bridge under earthquakes through the damage analysis was the significant research direction in the performance based seismic design. In this paper the Park-Ang model (a well-known dual parameters model) and its modification version used for the damage evaluation of the concrete structure were compared. Furthermore, through the definition of the damage indices of the models based on the modified Park-Ang model and the descending slope of the IDA(incremental dynamic analysis) curve, the seismic damage levels of the typical bridge in the urban rail transit line under the designated earthquakes were analyzed, respectively. It was shown from the results that the calculated results from the two model was essentially consistent. The damage analysis based evaluation method was feasibly used for the seismic performance evaluation of the bridge.

scholarly journals Hybrid backpropagation neural network-particle swarm optimization for seismic damage building prediction

2019 ◽  
Vol 14 (1) ◽  
pp. 360
Author(s):  
Marina Yusoff ◽  
Faris Mohd Najib ◽  
Rozaina Ismail
Keyword(s):  
Neural Network ◽  
Particle Swarm Optimization ◽  
Damage Index ◽  
Particle Swarm ◽  
Seismic Damage ◽  
Backpropagation Neural Network ◽  
Swarm Optimization ◽  
Local Optima ◽  
Damage Indices ◽  
Prediction Problems

The evaluation of the vulnerability of buildings to earthquakes is of prime importance to ensure a good plan can be generated for the disaster preparedness to civilians. Most of the attempts are directed in calculating the damage index of buildings to determine and predict the vulnerability to certain scales of earthquakes. Most of the solutions used are traditional methods which are time consuming and complex. Some of initiatives have proven that the artificial neural network methods have the potential in solving earthquakes prediction problems. However, these methods have limitations in terms of suffering from local optima, premature convergence and overfitting. To overcome this challenging issue, this paper introduces a new solution to the prediction on the seismic damage index of buildings with the application of hybrid back propagation neural network and particle swarm optimization (BPNN-PSO) method. The prediction was based on damage indices of 35 buildings around Malaysia. The BPNN-PSO demonstrated a better result of 89% accuracy compared to the traditional backpropagation neural network with only 84%. The capability of PSO supports fast convergence method has shown good effort to improve the processing time and accuracy of the results.

scholarly journals Seismic Damage in Shear Wall-Slab Junction in RC Buildings

2016 ◽  
Vol 144 ◽  
pp. 1332-1339 ◽  
Author(s):  
Snehal Kaushik ◽  
Kaustubh Dasgupta
Keyword(s):  
Shear Wall ◽  
Seismic Damage ◽  
Rc Buildings

Comparative Seismic Risk Analysis of Existing Low-Rise RC Buildings Retrofitted by Metallic Energy Dissipating Devices

2013 ◽  
Vol 470 ◽  
pp. 1085-1088
Author(s):  
Dong Hyeon Shin ◽  
Jin Young Park ◽  
Hyung Joon Kim
Keyword(s):  
Probability Distribution ◽  
Risk Analysis ◽  
Seismic Risk ◽  
Structural Damage ◽  
Damage Index ◽  
Rc Buildings ◽  
Probabilistic Characteristic ◽  
Seismic Risk Analysis ◽  
Damage Indices ◽  
Rc Building

Existing non-seismically detailed low-rise RC buildings have higher seismic risks that are dependent on their seismic capacities and demand of building sites. Seismic risk analysis can be performed considering probabilistic characteristic of the structural damage. Structural damage is more accurately quantified by the damage indices than by a single engineering parameter. This study carries out comparative seismic risk analysis of a prototype building with and without metallic energy dissipating devices. Based on the probability distribution of damage index, it is demonstrated that the application of well-designed MEDDs to low-rise RC building can reduce its potential seismic risk.

Seismic Damage Indices for Concrete Structures: A State-of-the-Art Review

1995 ◽  
Vol 11 (2) ◽  
pp. 319-349 ◽  
Author(s):  
Martin S. Williams ◽  
Robert G. Sexsmith
Keyword(s):  
Accurate Determination ◽  
Concrete Structures ◽  
Weighted Average ◽  
Structural Type ◽  
Seismic Damage ◽  
Individual Element ◽  
Damage Indices ◽  
Modes Of Failure ◽  
Before And After ◽  
Modes Of Vibration

This paper gives a review of seismic damage indices, with particular reference to their use in retrofit decision making. Damage indices aim to provide a means of quantifying numerically the damage in concrete structures sustained under earthquake loading. Indices may be defined locally, for an individual element, or globally, for a whole structure. Most local indices are cumulative in nature, reflecting the dependence of damage on both the amplitude and the number of cycles of loading. The main disadvantages of most local damage indices are the need for tuning of coefficients for a particular structural type and the lack of calibration against varying degrees of damage. Global damage indices may be calculated by taking a weighted average of the local indices throughout a structure, or by comparing the modal properties of the structure before and after (and sometimes during) the earthquake. The weighted-average indices are prone to much the same problems as the local indices. The modal indices vary widely in their level of sophistication, those capable of detecting relatively minor damage requiring the accurate determination of a large number of modes of vibration. The development and application of damage indices has until now concentrated almost exclusively on flexural modes of failure; there is a clear need to investigate the ability of the indices to represent shear damage.

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