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Chapter and Conference Paper
The Effect of Multi-Wall Carbon Nanotubes on the Flexural and Compressive Strength of Cement-Based Composites
Nanoparticles are characterized as the most frequently used materials for embellishing the nanomodified specimens’ multifunctional characteristics. The combination of cementitious composites with nanomaterials...
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Chapter and Conference Paper
Accomplished Reliability Level for Seismic Structural Damage Prediction Using Artificial Neural Networks
This research aims to determine the optimal Multi-Layer Feed-Forward Artificial Neural Network (MLFF) capable of accurately estimating the level of seismic damage on buildings, by considering a set of Seismic...
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Chapter and Conference Paper
Tall RC Buildings Environmentally Degradated and Strengthened by Cables Under Multiple Earthquakes: A Numerical Approach
A numerical investigation is presented for the seismic analysis of tall reinforced concrete (RC) Civil Engineering structures, which have been degradated due to extreme environmental actions and are strengthen...
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Chapter and Conference Paper
HHT-Based Artificial Seismic Accelerograms Generation
A new efficient approach for generating spectrum-compatible seismic accelerograms is proposed. It is based on the Hilbert-Huang Transform (HHT); one natural seismic accelerogram is decomposed into frequency an...
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Chapter
Classification of Seismic Damages in Buildings Using Fuzzy Logic Procedures
It is well-known that damage observations on buildings after severe earthquakes exhibit interdependence with the seismic intensity parameters. Numerical elaboration of structural systems quantified the interre...
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Chapter
Intensity Parameters as Damage Potential Descriptors of Earthquakes
This paper provides a methodology to quantify the interrelationship between the seismic intensity parameters and the structural damage. First, a computer-supported elaboration of the accelerograms provides sev...
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Chapter and Conference Paper
Correlation between Seismic Intensity Parameters of HHT-Based Synthetic Seismic Accelerograms and Damage Indices of Buildings
In this work, a correlation study between well-known seismic parameters and damage indices is presented. The correlation analysis is first performed on a set of natural seismic signals and afterwards on a set ...
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Chapter and Conference Paper
Fuzzy Inference Systems for Automatic Classification of Earthquake Damages
This paper presents efficient models in the area of damage potential classification of seismic signals. After an earthquake, one of the most important actions that authorities must take is to inspect structure...
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Chapter and Conference Paper
A Genetic Algorithm for the Classification of Earthquake Damages in Buildings
In this paper an efficient classification system in the area of earthquake engineering is reported. The proposed method uses a set of artificial accelerograms to examine several types of damages in specific st...
