Accomplished Reliability Level for Seismic Structural Damage Prediction Using Artificial Neural Networks
- 28 May 2020
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC in Proceedings of the International Neural Networks Society
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- Approaches to the rapid seismic damage prediction of r/c buildings using artificial neural networksEngineering Structures, 2018
- Neuro-fuzzy techniques for the classification of earthquake damages in buildingsMeasurement, 2010
- Prediction of seismic-induced structural damage using artificial neural networksEngineering Structures, 2009
- A Genetic Algorithm for the Classification of Earthquake Damages in BuildingsIFIP Advances in Information and Communication Technology, 2009
- Correlation study between seismic acceleration parameters and damage indices of structuresEngineering Structures, 2001
- Correlation between seismic acceleration parameters and overall structural damage indices of buildingsSoil Dynamics and Earthquake Engineering, 2000
- Scaling Procedure for Natural Accelerograms Based on a System of Spectrum Intensity ScalesEarthquake Spectra, 1998
- Interdependency between seismic acceleration parameters and the behaviour of structuresSoil Dynamics and Earthquake Engineering, 1997
- AN APPROACH TO THE MEASUREMENT OF THE POTENTIAL STRUCTURAL DAMAGE OF EARTHQUAKE GROUND MOTIONSEarthquake Engineering & Structural Dynamics, 1997
- A measure of earthquake motion capacity to damage medium-period structuresSoil Dynamics and Earthquake Engineering, 1990