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框架预应力锚杆边坡锚固结构的随机地震反应及动力可靠度分析 被引量:10

Random Seismic Response and Dynamic Reliability Analysis of Frame with Prestressed Anchors for Slope Stability
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摘要 为了简化框架预应力锚杆边坡锚固结构随机地震反应分析和动力可靠度计算方法,提高计算效率,采用虚拟激励法对锚杆边坡锚固结构进行了随机地震反应分析,获得了框架预应力锚杆边坡锚固结构的地震反应功率谱,给出了改进的动力可靠度计算方法,进行了工程实例验证,并将提出的方法与Monte-Carlo法进行了比较。结果表明:提出的分析模型物理概念明确,是一种快速、精确、实用的分析方法,为框架预应力锚杆边坡锚固结构的随机地震反应分析与动力可靠度计算奠定了理论基础,并提供了一种新的计算途径;随机地震反应随着坡高逐渐增大,在坡中上部达到极值,锚固结构的动力响应峰值随着可靠度指标的增大而增大。 In order to simplify the random seismic response analysis and dynamic reliability calculation method of the frame with prestressed anchor for slope anchor structure,and improve the calculation efficiency,the pseudo-excitation method was adopted to analyze random seismic response of anchor for slope anchor structure,and the power spectrum of seismic response of the frame with prestressed anchor was obtained.The improved dynamic reliability calculation method was presented,an engineering example was conducted to verify the effectiveness and reliability,and the proposed method was compared with Monte-Carlo method.The results show that the physical concept of proposed analysis model is clear,which is a rapid,accurate and practicalanalysis method.The proposed method lays the theoretical basis and provides a new calculation way for dynamic reliability calculation and random seismic response analysis of frame with prestressed anchor for slope stability.Random seismic response increases gradually with the slope height,and the extremum occurs at the upper part of slopes.Anchorage structure dynamic response peak increases with the increase of reliability index.
出处 《中国公路学报》 EI CAS CSCD 北大核心 2015年第10期26-33,共8页 China Journal of Highway and Transport
基金 国家自然科学基金项目(51108221 51268037) 教育部高等学校博士学科点专项科研基金项目(20116201120002) 甘肃省杰出青年基金项目(145RJDA330) 陇原青年创新人才扶持计划 兰州理工大学红柳杰青基金项目(J201403) 甘肃省高校基本科研业务费专项项目(1204ZTC058) 国家留学基金委项目(2011862535)
关键词 道路工程 边坡 虚拟激励法 框架预应力锚杆 动力计算模型 随机地震反应 动力可靠度 road engineering slope pseudo-excitation method frame with prestressed anchor dynamic calculation model random seismic response dynamic reliability
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