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跨海桥梁受台风影响的风速概率模型分析

郭健 钟陈杰 王仁贵 胡成杰

郭健, 钟陈杰, 王仁贵, 胡成杰. 跨海桥梁受台风影响的风速概率模型分析[J]. 工程力学, 2022, 39(S): 180-186. doi: 10.6052/j.issn.1000-4750.2021.06.S035
引用本文: 郭健, 钟陈杰, 王仁贵, 胡成杰. 跨海桥梁受台风影响的风速概率模型分析[J]. 工程力学, 2022, 39(S): 180-186. doi: 10.6052/j.issn.1000-4750.2021.06.S035
GUO Jian, ZHONG Chen-jie, WANG Ren-gui, HU Cheng-jie. ANALYSIS OF WIND SPEED PROBABILITY MODEL OF SEA-CROSSING BRIDGE AFFECTED BY TYPHOONS[J]. Engineering Mechanics, 2022, 39(S): 180-186. doi: 10.6052/j.issn.1000-4750.2021.06.S035
Citation: GUO Jian, ZHONG Chen-jie, WANG Ren-gui, HU Cheng-jie. ANALYSIS OF WIND SPEED PROBABILITY MODEL OF SEA-CROSSING BRIDGE AFFECTED BY TYPHOONS[J]. Engineering Mechanics, 2022, 39(S): 180-186. doi: 10.6052/j.issn.1000-4750.2021.06.S035

跨海桥梁受台风影响的风速概率模型分析

doi: 10.6052/j.issn.1000-4750.2021.06.S035
基金项目: 浙江省重点研发项目(2019C03098);国家自然科学基金项目(U1709207,52078461)
详细信息
    作者简介:

    钟陈杰(1998−),男,浙江人,硕士生,主要从事跨海大桥防灾减灾及智能监测研究(E-mail: zcj@zjut.edu.cn)

    王仁贵(1965−),男,江苏人,教授级高工,博士,主要从事大跨桥梁设计研究(E-mail: wrengui@263.net)

    胡成杰(1996−),男,浙江人,硕士生,主要从事跨海大桥防灾减灾及智能监测研究(E-mail: huchengjie@zjut.edu.cn)

    通讯作者:

    郭 健(1973−),男,浙江人,教授,博士,博导,主要从事跨海大桥智能监测及安全防护领域研究(E-mail: guoj@vip.163.com)

  • 中图分类号: P429;U441

ANALYSIS OF WIND SPEED PROBABILITY MODEL OF SEA-CROSSING BRIDGE AFFECTED BY TYPHOONS

  • 摘要: 中国东部沿海地区常受台风侵扰,各台风不同的气旋结构和登陆位置使其对跨海桥梁结构的影响有较大差异。台风期间桥位处的风速概率模型是分析桥位风场特征、评估桥梁抗风能力重要依据。安装于跨海桥梁上的结构健康监测系统实时获取的风场监测数据为了解台风期间桥位风场特征和开展风速概率模型分析提供了数据基础。以影响西堠门大桥的三个典型台风为研究对象,结合桥位风场实时监测数据,采用贝叶斯方法对风速概率模型参数进行动态识别与持续更新,建立的风速概率分布时变模型能够呈现不同时刻的风速概率分布及其在台风全过程中的演变规律,并对三个台风的风速分布及其演变进行了对比分析。对于近侧的登陆风,桥址风场的风速分布具有较大波动性;而对于远端风场,台风影响半径范围内风速分布相对稳定,影响半径范围外则风速分布波动强烈。
  • 图  1  西堠门大桥风速仪布置图

    Figure  1.  Layout of anemometers installed on Xihoumen Bridge

    图  2  各台风影响下桥位风速时程

    Figure  2.  Time series of wind speed at bridge site under typhoons

    图  3  各台风实测概率密度及其拟合曲线

    Figure  3.  Measured probability density and its fitting curve of each typhoon

    图  4  贝叶斯参数更新过程

    Figure  4.  Bayesian parameter updating process

    图  5  台风“灿鸿”Weibull分布参数ɑ、β的MCMC抽样迹线

    Figure  5.  MCMC sampling trace of ɑ and β of Typhoon Chan-hom's Weibull distribution

    图  6  Weibull分布参数更新过程

    Figure  6.  Updating process of Weibull distribution parameters

    图  7  各台风期间风速概率分布时变模型

    Figure  7.  Time-varying model of wind speed probability distribution during each typhoon

    表  1  三个典型台风至桥位距离最近时的参数

    Table  1.   Parameters when three typical typhoons were closest to the bridge site

    台风 距桥位最近时刻/
    (年/月/日)
    距离/
    km
    风场性质 移动速度/
    (km/h)
    中心风速/
    (m/s)
    中心气压/
    hPa
    灿鸿 2015/7/11 47 直接登陆
    近侧风场
    20 45 955
    莫兰蒂 2016/9/16 300 邻省登陆
    远端风场
    38 16 1002
    泰利 2017/9/15 320 未登陆
    远端风场
    8 45 950
    下载: 导出CSV
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出版历程
  • 收稿日期:  2021-06-04
  • 修回日期:  2022-03-10
  • 网络出版日期:  2022-04-06
  • 刊出日期:  2022-06-06

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