Seismic Design and Analysis of Building Structures
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".
Deadline for manuscript submissions: 25 November 2025 | Viewed by 10
Special Issue Editor
Interests: structural mechanics; structural engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The growing frequency and severity of seismic events worldwide have reinforced the critical importance of designing buildings that are resilient to earthquakes. This Special Issue of The Journal of Applied Science presents a comprehensive collection of contemporary research and practical advancements in the seismic design and analysis of building structures. It features a broad spectrum of contributions, including analytical models, numerical simulations, experimental investigations, and case studies. Topics covered include nonlinear dynamic analysis, seismic retrofitting of existing structures, performance-based design strategies, soil–structure interactions, and the use of advanced materials and technologies to improve seismic resilience.
In addition to technical innovations, the issue highlights real-world applications and interdisciplinary research that connect engineering theory with construction practice and policy development. By drawing on insights from academia, industry, and government, this Special Issue aims to support the development of safer, more sustainable building practices and contribute to the ongoing evolution of building codes and disaster risk reduction strategies. This collection serves as a valuable resource for engineers, researchers, and decision-makers committed to creating structures that can better withstand seismic events and protect communities.
Dr. Iraj H.P. Mamaghani
Guest Editor
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Keywords
- seismic evaluation
- probabilistic methods
- damage assessment
- steel structures
- reinforced concrete structures
- concrete core design
- steel tube design
- ductility evaluation, detailing, and reinforcement
- performance-based design
- experimental validation
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