Improving Structural Resilience in Earthquake-Prone Areas through Seismic Retrofitting Strategies

International Journal of Civil Engineering

© 2024 by SSRG - IJCE Journal

Volume 11 Issue 11

Year of Publication : 2024

Authors : Deepthy S Nair, M. Beena Mol

10.14445/23488352/IJCE-V11I11P110

How to Cite?

Deepthy S Nair, M. Beena Mol, "Improving Structural Resilience in Earthquake-Prone Areas through Seismic Retrofitting Strategies," SSRG International Journal of Civil Engineering, vol. 11,  no. 11, pp. 106-122, 2024. Crossref, https://doi.org/10.14445/23488352/IJCE-V11I11P110

Abstract:

In the realm of structural engineering, the seismic resilience of building structures stands as a paramount concern, especially in regions prone to seismic activity. However, the absence of stringent seismic design requirements in current structural standards has left many existing structures vulnerable to the devastating effects of earthquakes. This review paper addresses this critical issue by exploring various seismic design strategies and analytical techniques for retrofitting pre-existing structures. Also, this paper discusses the shortcomings of current structural design standards in seismic considerations and the need for retrofitting measures. It explores various classification methods and discusses seismic analysis methodologies, including software tools and empirical approaches, and the integration of artificial intelligence (AI) to improve the accuracy and efficiency of monitoring building structures under seismic conditions. The paper also examines the economic aspects of retrofitting, conducting a comprehensive cost analysis to evaluate the financial implications against the potential benefits of enhancing structural resilience. The paper aims to analyze retrofit strategies by considering technical efficacy and cost-effectiveness, which are essential for researchers to facilitate informed decision-making and proactive measures to safeguard existing structures against the destructive forces of earthquakes.

Keywords:

Machine Learning (ML), Earthquake engineering, Seismic hazard analysis, System identification and damage detection, Structural control, Seismic fragility assessment, Artificial Neural Network (ANN).

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