Wind-Induced Dynamic Performance Evaluation of Tall Buildings Considering Future Wind Climate DOI Creative Commons

Anita Gora,

Mingfeng Huang,

Chunhe Wang

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(9), P. 5073 - 5073

Published: May 2, 2025

The ongoing impacts of climate change, driven by both anthropogenic and global warming, significantly influence wind characteristics, resulting in increased speeds. Consequently, buildings that currently satisfy safety serviceability standards may face challenges the future. Despite extensive studies on wind-induced responses tall buildings, there is a notable lack comparative analyses assessing their performance under historical projected future conditions influenced change. This study investigates 151 m building located Suzhou, China, employing time history generation based power spectral density functions. analysis evaluates acceleration scenarios across different return periods compares to identify potential changes building’s due changing conditions. structural are rise Furthermore, this uses time-domain Monte Carlo simulation framework conduct fragility case building, comfort human occupants likelihood exceeding thresholds various scenarios. curve for plotted occupant as function mean speed. A substantial increase concerning observed. will impact necessitating proactive measures address effects ensure long-term habitability.

Language: Английский

Wind-Induced Dynamic Performance Evaluation of Tall Buildings Considering Future Wind Climate DOI Creative Commons

Anita Gora,

Mingfeng Huang,

Chunhe Wang

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(9), P. 5073 - 5073

Published: May 2, 2025

The ongoing impacts of climate change, driven by both anthropogenic and global warming, significantly influence wind characteristics, resulting in increased speeds. Consequently, buildings that currently satisfy safety serviceability standards may face challenges the future. Despite extensive studies on wind-induced responses tall buildings, there is a notable lack comparative analyses assessing their performance under historical projected future conditions influenced change. This study investigates 151 m building located Suzhou, China, employing time history generation based power spectral density functions. analysis evaluates acceleration scenarios across different return periods compares to identify potential changes building’s due changing conditions. structural are rise Furthermore, this uses time-domain Monte Carlo simulation framework conduct fragility case building, comfort human occupants likelihood exceeding thresholds various scenarios. curve for plotted occupant as function mean speed. A substantial increase concerning observed. will impact necessitating proactive measures address effects ensure long-term habitability.

Language: Английский

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