Advancements in nano-enhanced steel structures for earthquake resilience: Integrating metallic elements, AI, and sensor technology for engineering disasters mitigation in steel buildings
ISSN
12299367
Date Issued
2024
Author(s)
Xiaoping Zou
Gongxing Yan
Khidhair Jasim Mohammed
Meldi Suhatril
Mohamed Amine Khadimallah
Riadh Marzouki
Hamid Assilzadeh
José Escorcia-Gutierrez
Abstract
This study develops Titanium (Ti) and Magnesium (Mg)-based nano-alloys to enhance the earthquake resilience of steel structures using machine learning (SVM) and sensor technology. Embedding Ti and Mg into steel at the nanoscale creates a lightweight, durable, and flexible material capable of withstanding seismic forces. Ti enhances tensile strength and flexibility, while Mg reduces weight, lowering seismic loads on buildings.
The performance of these nano-alloys was assessed through shake table tests, cyclic load testing, and dynamic response testing, showing that nano-alloy-enhanced steel structures experienced 60% less displacement and 40% lower acceleration than traditional steel, demonstrating superior energy absorption and stress distribution.
Fatigue tests revealed that the nano-alloy could endure 20, 000 loading cycles, outperforming the 8, 000 cycles of conventional steel.
Integrated sensor technology, including strain gauges and accelerometers, provided real-time stress and deformation data, confirming the material’s effectiveness in stress distribution and vibration damping.
The SVM model optimized alloy composition, achieving 94% prediction accuracy in assessing seismic performance, highlighting the nano-alloys' durability and resilience.
This study suggests that Ti and Mg nano-alloys could greatly improve earthquake-resistant construction.
The performance of these nano-alloys was assessed through shake table tests, cyclic load testing, and dynamic response testing, showing that nano-alloy-enhanced steel structures experienced 60% less displacement and 40% lower acceleration than traditional steel, demonstrating superior energy absorption and stress distribution.
Fatigue tests revealed that the nano-alloy could endure 20, 000 loading cycles, outperforming the 8, 000 cycles of conventional steel.
Integrated sensor technology, including strain gauges and accelerometers, provided real-time stress and deformation data, confirming the material’s effectiveness in stress distribution and vibration damping.
The SVM model optimized alloy composition, achieving 94% prediction accuracy in assessing seismic performance, highlighting the nano-alloys' durability and resilience.
This study suggests that Ti and Mg nano-alloys could greatly improve earthquake-resistant construction.