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基于微观交通流模型的风-车-桥系统高真实度模拟
  • ISSN号:1001-7372
  • 期刊名称:《中国公路学报》
  • 时间:0
  • 分类:U441.2[建筑科学—桥梁与隧道工程;交通运输工程—道路与铁道工程]
  • 作者机构:[1]长安大学桥梁工程系,陕西西安710064, [2]河海大学土木工程系,江苏南京210098
  • 相关基金:国家自然科学基金项目(51278064,51408053)
中文摘要:

为了从微观交通流模拟和相对应全耦合风-微观交通流-桥梁数值分析框架2个角度对现有风-车-桥耦合振动系统进行精细化改进,首先定义基于元胞自动机(Cellular Automata,CA)原理的三车道微观交通流中车辆换道及行驶规则,并且将实测数据融入所建立的微观交通流模型中;其次建立微观交通流下的风-汽车-桥梁系统分析框架;最后以杭州湾跨海大桥主航道桥为例,计算了风环境下Monte-Carlo方法和CA交通模型模拟的交通流荷载作用下该桥的响应。研究结果表明:对于相同的交通流密度,CA模型计算的桥梁荷载响应变异系数、极值都比Monte-Carlo方法计算的结果小;而对于均值、交通流密度较低时,CA模型计算的结果小,反之,则大。

英文摘要:

In order to improve the current wind-vehicle-bridge coupled vibration system meticulously from two aspects of the microscopic traffic flow simulation and the corresponding numerical analysis framework for the fully-coupled wind-microscopic traffic flow-bridge,firstly,the rules of the lane-changing and vehicle driving in three-lane microscopic traffic flow were defined based on Cellular Automata principle,and the information recorded was integrated into the established microscopic traffic flow model.Secondly,wind-vehicle-bridge system analysis framework under microscopic traffic flow was built up.Finally,taking the main channel bridge of Hangzhou Bay Bridge as an example,the bridge responses were calculated under the combination load of wind and traffics which were simulated using the traditional Monte-Carlo method and CA traffic flow model respectively.The results show that for the same traffic density,the variation coefficients and extreme values of bridge load responses modeled by CA are less than those simulated by Monte-Carlo method.When the traffic density is low,the mean values of the bridge load responses modeled by CA are less than those simulated by Monte-Carlo method.But when the traffic becomes congestion operating state,the result is opposite.

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期刊信息
  • 《中国公路学报》
  • 北大核心期刊(2011版)
  • 主管单位:中国科学技术协会
  • 主办单位:中国公路学会
  • 主编:马建
  • 地址:西安市南二环路中段长安大学内
  • 邮编:710064
  • 邮箱:zgglxb@qq.com
  • 电话:029-82334387
  • 国际标准刊号:ISSN:1001-7372
  • 国内统一刊号:ISSN:61-1313/U
  • 邮发代号:52-194
  • 获奖情况:
  • 中国期刊方阵“双效”期刊
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘(网络版),波兰哥白尼索引,荷兰文摘与引文数据库,美国工程索引,美国剑桥科学文摘,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),中国北大核心期刊(2000版)
  • 被引量:25267