INTEGRATING BUILDING MAINTENANCE STRATEGIES IN THE SEISMIC PERFORMANCE ASSESSMENT OF TALL BUILDINGS
Abstract
Seismic intensity rise and aging of high-rise structures have driven the necessity to incorporate maintenance planning into seismic performance evaluation. This paper presents an overview of peer-reviewed articles between 2005 and 2024 to discuss how maintenance planning can improve the safety and resilience of high-rise structures under seismic loading. A PRISMA-informed systematic review method was applied to identify 465 research papers from scholarly databases first and 82 of them as being relevant after screening. The considered works collectively prove that classical seismic assessment to a significant extent overlooks the cumulative effect of material degradation and therefore gives deceptive predictions of structure performance at future times. Incorporation of maintenance preventive and predictive into nonlinear dynamic analysis models considerably enhances seismic response estimation accuracy. Outcome of some analytical and experimental research shows that regular maintenance treatments like corrosion protection, concrete repair, and beam-column joint retrofitting have the potential to raise the energy dissipative capacity by 30-40% and cost savings in life-cycle repair by as much as 25%. In addition, the new developments in sensor-based structural health monitoring and digital twin technology allow real-time performance monitoring for adaptive maintenance planning and seismic design optimisation. The research concludes that incorporation of maintenance concepts into seismic performance approach rejuvenates resilience evaluation as an active, data-driven process from a passive design-oriented process. The strategy facilitates sustainable infrastructure construction, maintains post-earthquake usability, and prolongs functional lifespan of skyscrapers.
Keywords:
Seismic performance, maintenance of buildings, tall structures, nonlinear dynamic analysis, structural condition monitoring, digital twin, resilience-based designPublished
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Copyright (c) 2025 SOMTO BENJAMIN ANIETO, OLAWEPO OREOLUWA IBITOLA, RUFUS FIDELIS OJUOLUWA, FELIX OLUWALOMOLA, CONFIDENCE ADIMCHI CHINONYEREM

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