A CRITICAL LITERATURE REVIEW OF MULTIFACTORIAL CONSIDERATIONS IN INCREMENTAL DYNAMIC ANALYSIS (IDA), THE COMBINED APPLICATION OF IDA AND ARCGIS, AND ANN-BASED IDA METHODOLOYIES

Abstract

The Incremental Dynamic Analysis (IDA) method has been widely applied in structural design and assessment due to its ability to accurately predict structural failure or collapse probabilities. Extensive research has explored its application in optimizing structural design schemes. However, conventional IDA approaches often overlook several critical factors, such as the diversity of earthquake intensity measures, the existence of multiple failure modes, and regional variations in seismic risk—particularly in the context of seismically isolated structures. Moreover, the integration of IDA with Geographic Information Systems (GIS) and the use of Artificial Neural Networks (ANNs) to improve computational efficiency remain underexplored. This article reviews recent studies on the application of IDA that consider multiple influencing factors, the integration of GIS with IDA, and ANN-based enhancements of IDA methodologies. Additionally, it identifies key research gaps in the application of IDA to seismically isolated structures, offering guidance for future investigations.