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NEW APPROACHES TO THE DESIGN OF EARTHQUAKE-RESISTANT STRUCTURES

Authors: Rashidov Bekzod Kholmirzaevich;

NEW APPROACHES TO THE DESIGN OF EARTHQUAKE-RESISTANT STRUCTURES

Abstract

Earthquakes are among the most destructive natural hazards, responsible for significant loss of life, property damage, and economic disruption. As urban areas expand and infrastructures become more complex, traditional design methods for earthquake resistance are no longer sufficient. This paper reviews modern and innovative approaches to the design of earthquake-resistant structures, emphasizing performance-based seismic design (PBSD), base isolation, energy dissipation systems, and the use of smart materials. Furthermore, the integration of digital technologies such as Building Information Modeling (BIM), Artificial Intelligence (AI), and the Internet of Things (IoT) has revolutionized structural engineering practices, allowing real-time monitoring and predictive maintenance. Case studies from Japan, New Zealand, and the United States demonstrate that combining advanced materials and digital design tools can significantly increase resilience and sustainability. The paper concludes by outlining challenges and future directions for developing intelligent, adaptive, and environmentally responsible earthquake-resistant structures.

Keywords

earthquake-resistant structures, seismic design, base isolation, energy dissipation, smart materials, AI, BIM, IoT, structural resilience.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green