Junliang Cao, Xuejiao Peng, Xiaoxin Man, Yue Li, Jing Liu
{"title":"用风洞试验测量某千米尺度特大建筑的地面风压特性","authors":"Junliang Cao, Xuejiao Peng, Xiaoxin Man, Yue Li, Jing Liu","doi":"10.1080/14733315.2022.2064042","DOIUrl":null,"url":null,"abstract":"Abstract This paper investigates the wind pressure distribution of a thousand-meter scale megatall building through a wind tunnel test. One key challenge is that the power-law wind profiles are not applicable due to the height limitation. Therefore, a mesoscale meteorological model WRFv3.4 (Weather Research & Forecasting Model) was used to explore the wind profile covering the height of the thousand-meter scale megatall building. Then the wind profile was reproduced in the wind tunnel representing the actual vertical distribution of wind speed by a passive simulation method, and thereby the wind pressure test was conducted in the wind tunnel. Moreover, to investigate the effect of the inlet wind profile on the wind pressure, a wind tunnel test using the power-law wind profile was carried out for comparison as well. It was revealed that the wind pressure distribution was greatly influenced by the inlet wind profile, which should be investigated with accuracy in the wind tunnel.","PeriodicalId":55613,"journal":{"name":"International Journal of Ventilation","volume":"20 1","pages":"168 - 192"},"PeriodicalIF":1.1000,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Measurements on the surface wind pressure characteristics of a thousand-meter scale megatall building by wind tunnel test\",\"authors\":\"Junliang Cao, Xuejiao Peng, Xiaoxin Man, Yue Li, Jing Liu\",\"doi\":\"10.1080/14733315.2022.2064042\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This paper investigates the wind pressure distribution of a thousand-meter scale megatall building through a wind tunnel test. One key challenge is that the power-law wind profiles are not applicable due to the height limitation. Therefore, a mesoscale meteorological model WRFv3.4 (Weather Research & Forecasting Model) was used to explore the wind profile covering the height of the thousand-meter scale megatall building. Then the wind profile was reproduced in the wind tunnel representing the actual vertical distribution of wind speed by a passive simulation method, and thereby the wind pressure test was conducted in the wind tunnel. Moreover, to investigate the effect of the inlet wind profile on the wind pressure, a wind tunnel test using the power-law wind profile was carried out for comparison as well. It was revealed that the wind pressure distribution was greatly influenced by the inlet wind profile, which should be investigated with accuracy in the wind tunnel.\",\"PeriodicalId\":55613,\"journal\":{\"name\":\"International Journal of Ventilation\",\"volume\":\"20 1\",\"pages\":\"168 - 192\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2022-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Ventilation\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/14733315.2022.2064042\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CONSTRUCTION & BUILDING TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Ventilation","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/14733315.2022.2064042","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 4
摘要
摘要:本文通过风洞试验研究了某千米尺度巨型高层建筑的风压分布。一个关键的挑战是幂律风廓线由于高度的限制而不适用。因此,采用中尺度气象模式WRFv3.4 (Weather Research & Forecasting model)对覆盖千米尺度超大高层建筑高度的风廓线进行研究。然后用被动模拟的方法在风洞中再现代表实际风速垂直分布的风廓线,从而在风洞中进行风压试验。此外,为了研究入口风廓线对风压的影响,采用幂律风廓线进行了风洞试验进行比较。结果表明,进口风廓线对风压分布的影响较大,需要在风洞中进行精确的研究。
Measurements on the surface wind pressure characteristics of a thousand-meter scale megatall building by wind tunnel test
Abstract This paper investigates the wind pressure distribution of a thousand-meter scale megatall building through a wind tunnel test. One key challenge is that the power-law wind profiles are not applicable due to the height limitation. Therefore, a mesoscale meteorological model WRFv3.4 (Weather Research & Forecasting Model) was used to explore the wind profile covering the height of the thousand-meter scale megatall building. Then the wind profile was reproduced in the wind tunnel representing the actual vertical distribution of wind speed by a passive simulation method, and thereby the wind pressure test was conducted in the wind tunnel. Moreover, to investigate the effect of the inlet wind profile on the wind pressure, a wind tunnel test using the power-law wind profile was carried out for comparison as well. It was revealed that the wind pressure distribution was greatly influenced by the inlet wind profile, which should be investigated with accuracy in the wind tunnel.
期刊介绍:
This is a peer reviewed journal aimed at providing the latest information on research and application.
Topics include:
• New ideas concerned with the development or application of ventilation;
• Validated case studies demonstrating the performance of ventilation strategies;
• Information on needs and solutions for specific building types including: offices, dwellings, schools, hospitals, parking garages, urban buildings and recreational buildings etc;
• Developments in numerical methods;
• Measurement techniques;
• Related issues in which the impact of ventilation plays an important role (e.g. the interaction of ventilation with air quality, health and comfort);
• Energy issues related to ventilation (e.g. low energy systems, ventilation heating and cooling loss);
• Driving forces (weather data, fan performance etc).