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Study on the Peak Factor of the Wind-Induced Response of Super-High-Rise Buildings
The wind-induced responses of tall buildings are stochastic processes, and the peak factor is an important parameter to evaluate the extreme value of the wind-induced response in wind-resistant design. The existing research on the peak factor mainly focuses on the wind pressure on the building surfa...
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Published in: | Atmosphere 2023-02, Vol.14 (2), p.379 |
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description | The wind-induced responses of tall buildings are stochastic processes, and the peak factor is an important parameter to evaluate the extreme value of the wind-induced response in wind-resistant design. The existing research on the peak factor mainly focuses on the wind pressure on the building surface, but rarely concerns the wind-induced response peak factor of the structures. In view of this, the peak factor of the wind-induced response of super-high-rise buildings was studied in this paper. Firstly, a series of wind tunnel tests of the multi-degree-of-freedom aero-elastic models (MDOF) were carried out, wherein the along-wind and cross-wind responses were measured. Thereafter, the peak factor of wind-induced response was calculated using the peak factor method, classical extreme value theory, and the improved peak factor method. It was found that the peak factor calculated by the improved peak factor method is in good agreement with classical extreme value theory, which indicates that the improved peak factor method is applicable to calculate the peak factor of the wind-induced response of high-rise buildings. The results calculated using the improved peak factor method show that the peak factor of cross-wind response varies significantly with the wind speed, varying from about 2.5 to 5.5. The peak factor of cross-wind response first increases and then decreases with the increase in the wind speed, reaches the minimum near the critical wind speed of vortex-induced vibration (VIV), and increases again when the wind speed is larger than the VIV wind speed. Finally, an empirical formula for the cross-wind response peak factor was proposed as a function of the reduced wind speed, aspect ratio, and damping ratio of the structure. |
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The existing research on the peak factor mainly focuses on the wind pressure on the building surface, but rarely concerns the wind-induced response peak factor of the structures. In view of this, the peak factor of the wind-induced response of super-high-rise buildings was studied in this paper. Firstly, a series of wind tunnel tests of the multi-degree-of-freedom aero-elastic models (MDOF) were carried out, wherein the along-wind and cross-wind responses were measured. Thereafter, the peak factor of wind-induced response was calculated using the peak factor method, classical extreme value theory, and the improved peak factor method. It was found that the peak factor calculated by the improved peak factor method is in good agreement with classical extreme value theory, which indicates that the improved peak factor method is applicable to calculate the peak factor of the wind-induced response of high-rise buildings. The results calculated using the improved peak factor method show that the peak factor of cross-wind response varies significantly with the wind speed, varying from about 2.5 to 5.5. The peak factor of cross-wind response first increases and then decreases with the increase in the wind speed, reaches the minimum near the critical wind speed of vortex-induced vibration (VIV), and increases again when the wind speed is larger than the VIV wind speed. Finally, an empirical formula for the cross-wind response peak factor was proposed as a function of the reduced wind speed, aspect ratio, and damping ratio of the structure.</description><identifier>ISSN: 2073-4433</identifier><identifier>EISSN: 2073-4433</identifier><identifier>DOI: 10.3390/atmos14020379</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Aluminum ; Aspect ratio ; Crosswinds ; Damping ; Damping ratio ; Degrees of freedom ; Energy dissipation ; Environmental aspects ; Extreme value theory ; Extreme values ; Fourier transforms ; High rise buildings ; Hypotheses ; MDOF aero-elastic model ; Methods ; peak factor ; Random variables ; Reynolds number ; Skyscrapers ; Stochastic models ; Stochastic processes ; Stochasticity ; super-high-rise buildings ; Tall buildings ; Velocity ; Vibration ; Vortex-induced vibrations ; Wind effects ; Wind engineering ; Wind measurement ; Wind pressure ; Wind resistance ; Wind speed ; Wind tunnel testing ; wind tunnel tests ; Wind tunnels ; wind-induced response</subject><ispartof>Atmosphere, 2023-02, Vol.14 (2), p.379</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c409t-7a2cbaa4b8320e0932a4d87e87c2109df4de9b5841e0681885f4ce6f81f42c5f3</citedby><cites>FETCH-LOGICAL-c409t-7a2cbaa4b8320e0932a4d87e87c2109df4de9b5841e0681885f4ce6f81f42c5f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2779523310/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2779523310?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,44590,75126</link.rule.ids></links><search><creatorcontrib>Wang, Jun-Bo</creatorcontrib><creatorcontrib>Wang, Yu</creatorcontrib><creatorcontrib>Wang, Lei</creatorcontrib><creatorcontrib>Liang, Shu-Guo</creatorcontrib><title>Study on the Peak Factor of the Wind-Induced Response of Super-High-Rise Buildings</title><title>Atmosphere</title><description>The wind-induced responses of tall buildings are stochastic processes, and the peak factor is an important parameter to evaluate the extreme value of the wind-induced response in wind-resistant design. The existing research on the peak factor mainly focuses on the wind pressure on the building surface, but rarely concerns the wind-induced response peak factor of the structures. In view of this, the peak factor of the wind-induced response of super-high-rise buildings was studied in this paper. Firstly, a series of wind tunnel tests of the multi-degree-of-freedom aero-elastic models (MDOF) were carried out, wherein the along-wind and cross-wind responses were measured. Thereafter, the peak factor of wind-induced response was calculated using the peak factor method, classical extreme value theory, and the improved peak factor method. It was found that the peak factor calculated by the improved peak factor method is in good agreement with classical extreme value theory, which indicates that the improved peak factor method is applicable to calculate the peak factor of the wind-induced response of high-rise buildings. The results calculated using the improved peak factor method show that the peak factor of cross-wind response varies significantly with the wind speed, varying from about 2.5 to 5.5. The peak factor of cross-wind response first increases and then decreases with the increase in the wind speed, reaches the minimum near the critical wind speed of vortex-induced vibration (VIV), and increases again when the wind speed is larger than the VIV wind speed. Finally, an empirical formula for the cross-wind response peak factor was proposed as a function of the reduced wind speed, aspect ratio, and damping ratio of the structure.</description><subject>Aluminum</subject><subject>Aspect ratio</subject><subject>Crosswinds</subject><subject>Damping</subject><subject>Damping ratio</subject><subject>Degrees of freedom</subject><subject>Energy dissipation</subject><subject>Environmental aspects</subject><subject>Extreme value theory</subject><subject>Extreme values</subject><subject>Fourier transforms</subject><subject>High rise buildings</subject><subject>Hypotheses</subject><subject>MDOF aero-elastic model</subject><subject>Methods</subject><subject>peak factor</subject><subject>Random variables</subject><subject>Reynolds number</subject><subject>Skyscrapers</subject><subject>Stochastic models</subject><subject>Stochastic processes</subject><subject>Stochasticity</subject><subject>super-high-rise buildings</subject><subject>Tall buildings</subject><subject>Velocity</subject><subject>Vibration</subject><subject>Vortex-induced vibrations</subject><subject>Wind effects</subject><subject>Wind engineering</subject><subject>Wind measurement</subject><subject>Wind pressure</subject><subject>Wind resistance</subject><subject>Wind speed</subject><subject>Wind tunnel testing</subject><subject>wind tunnel tests</subject><subject>Wind tunnels</subject><subject>wind-induced response</subject><issn>2073-4433</issn><issn>2073-4433</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpVUcFOHDEMHaFWAlGOvY_EeWgm8UySI0XAroREtbTqMfIkzpJld7IkMwf-nsBWiNoHW89-T89yVX1v2YUQmv3AaRdzC4wzIfVRdcKZFA2AEF8-9cfVWc4bVgK04AJOqtXDNLuXOo719Ej1L8Kn-gbtFFMd_Tv0N4yuWY5utuTqFeV9HDO9DR_mPaVmEdaPzSoU6Occti6M6_yt-upxm-nsXz2t_txc_75aNHf3t8ury7vGAtNTI5HbAREGJTgjVvwgOCVJSctbpp0HR3roFLTEetUq1Xmw1HvVeuC28-K0Wh50XcSN2aeww_RiIgbzDsS0NpimYLdkQIAcxICdxgFY12EPNCjpOtYLRKeL1vlBa5_i80x5Mps4p7HYN1xK3XEhWla2Lg5bayyiYfRxSmhLOtoFG0fyoeCXErgu5_RQCM2BYFPMOZH_sNky8_Y289_bxCvhkIja</recordid><startdate>20230201</startdate><enddate>20230201</enddate><creator>Wang, Jun-Bo</creator><creator>Wang, Yu</creator><creator>Wang, Lei</creator><creator>Liang, Shu-Guo</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7ST</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>SOI</scope><scope>DOA</scope></search><sort><creationdate>20230201</creationdate><title>Study on the Peak Factor of the Wind-Induced Response of Super-High-Rise Buildings</title><author>Wang, Jun-Bo ; Wang, Yu ; Wang, Lei ; Liang, Shu-Guo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c409t-7a2cbaa4b8320e0932a4d87e87c2109df4de9b5841e0681885f4ce6f81f42c5f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Aluminum</topic><topic>Aspect ratio</topic><topic>Crosswinds</topic><topic>Damping</topic><topic>Damping ratio</topic><topic>Degrees of freedom</topic><topic>Energy dissipation</topic><topic>Environmental aspects</topic><topic>Extreme value theory</topic><topic>Extreme values</topic><topic>Fourier transforms</topic><topic>High rise buildings</topic><topic>Hypotheses</topic><topic>MDOF aero-elastic model</topic><topic>Methods</topic><topic>peak factor</topic><topic>Random variables</topic><topic>Reynolds number</topic><topic>Skyscrapers</topic><topic>Stochastic models</topic><topic>Stochastic processes</topic><topic>Stochasticity</topic><topic>super-high-rise buildings</topic><topic>Tall buildings</topic><topic>Velocity</topic><topic>Vibration</topic><topic>Vortex-induced vibrations</topic><topic>Wind effects</topic><topic>Wind engineering</topic><topic>Wind measurement</topic><topic>Wind pressure</topic><topic>Wind resistance</topic><topic>Wind speed</topic><topic>Wind tunnel testing</topic><topic>wind tunnel tests</topic><topic>Wind tunnels</topic><topic>wind-induced response</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Jun-Bo</creatorcontrib><creatorcontrib>Wang, Yu</creatorcontrib><creatorcontrib>Wang, Lei</creatorcontrib><creatorcontrib>Liang, Shu-Guo</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environment Abstracts</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Atmosphere</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Jun-Bo</au><au>Wang, Yu</au><au>Wang, Lei</au><au>Liang, Shu-Guo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Study on the Peak Factor of the Wind-Induced Response of Super-High-Rise Buildings</atitle><jtitle>Atmosphere</jtitle><date>2023-02-01</date><risdate>2023</risdate><volume>14</volume><issue>2</issue><spage>379</spage><pages>379-</pages><issn>2073-4433</issn><eissn>2073-4433</eissn><abstract>The wind-induced responses of tall buildings are stochastic processes, and the peak factor is an important parameter to evaluate the extreme value of the wind-induced response in wind-resistant design. The existing research on the peak factor mainly focuses on the wind pressure on the building surface, but rarely concerns the wind-induced response peak factor of the structures. In view of this, the peak factor of the wind-induced response of super-high-rise buildings was studied in this paper. Firstly, a series of wind tunnel tests of the multi-degree-of-freedom aero-elastic models (MDOF) were carried out, wherein the along-wind and cross-wind responses were measured. Thereafter, the peak factor of wind-induced response was calculated using the peak factor method, classical extreme value theory, and the improved peak factor method. It was found that the peak factor calculated by the improved peak factor method is in good agreement with classical extreme value theory, which indicates that the improved peak factor method is applicable to calculate the peak factor of the wind-induced response of high-rise buildings. The results calculated using the improved peak factor method show that the peak factor of cross-wind response varies significantly with the wind speed, varying from about 2.5 to 5.5. The peak factor of cross-wind response first increases and then decreases with the increase in the wind speed, reaches the minimum near the critical wind speed of vortex-induced vibration (VIV), and increases again when the wind speed is larger than the VIV wind speed. Finally, an empirical formula for the cross-wind response peak factor was proposed as a function of the reduced wind speed, aspect ratio, and damping ratio of the structure.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/atmos14020379</doi><oa>free_for_read</oa></addata></record> |
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subjects | Aluminum Aspect ratio Crosswinds Damping Damping ratio Degrees of freedom Energy dissipation Environmental aspects Extreme value theory Extreme values Fourier transforms High rise buildings Hypotheses MDOF aero-elastic model Methods peak factor Random variables Reynolds number Skyscrapers Stochastic models Stochastic processes Stochasticity super-high-rise buildings Tall buildings Velocity Vibration Vortex-induced vibrations Wind effects Wind engineering Wind measurement Wind pressure Wind resistance Wind speed Wind tunnel testing wind tunnel tests Wind tunnels wind-induced response |
title | Study on the Peak Factor of the Wind-Induced Response of Super-High-Rise Buildings |
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