人工主余震型地震动作用下框架结构可靠度
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P315.9,TU375.4

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国家自然科学基金项目(52008220)


Study on Reliability of Frame Structures under Artificial Main and Aftershock Ground Motions
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    摘要:

    本文着眼于地震动在幅值、持时、频谱方面的工程特性,利用主震与余震之间峰值加速度、强震持时、场地卓越频率的关系,构造主余震型地震动过程的演变功率谱模型。随后,运用谱表示-降维方法,实现仅用三个基本随机变量便可在概率层面精细地模拟主余震型地震动过程。进一步地,根据概率密度演化理论和基于首次超越破坏的极值可靠度理论,在概率密度层面上对某办公楼框架结构进行精细化的动力响应分析和可靠度评价。算例表明,降维方法可应用数论选点方法,生成可满足工程精度要求的较少代表性样本集,且集合概率信息完备。进而可与概率密度演化理论结合,获得阈值下丰富的概率信息。这为框架结构的主余震型地震反应和抗震可靠度分析提供了新的途径。

    Abstract:

    The work primarily examines the engineering features of earthquake including its amplitude, duration, and spectrum. A main-aftershock evolutionary power spectrum density (EPSD) model has established via utilizing the relationship in terms of peak acceleration, duration, and site predominant frequency of them. Then, the main-aftershock ground motion process may be accurately simulated at the probability level with just three elementary random variables using the spectral representation-dimension reduction method (SR-DRM). An office building's refined dynamic response analysis and reliability evaluation are performed at the probability density level using the probability density evolution method (PDEM) and the extreme reliability theory based on the first passage failure. It is clear reveal from the numerical example that the DRM could be used to produce a small number of representative sample sets which are accurate enough for engineering purposes, and that the information about the set's probability is comprehensive. In addition, it can be used in tandem with the PDEM to yield a wealth of probabilistic information at varying thresholds. This opens a new avenue for studying the seismic response and reliability of frame buildings under main-aftershocks.

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王宇泽,闫龙,姜云木,等. 人工主余震型地震动作用下框架结构可靠度[J]. 科学技术与工程, 2023, 23(13): 5421-5428.
Wang Yuze, Yan Long, Jiang Yunmu, et al. Study on Reliability of Frame Structures under Artificial Main and Aftershock Ground Motions[J]. Science Technology and Engineering,2023,23(13):5421-5428.

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  • 收稿日期:2022-10-30
  • 最后修改日期:2023-03-01
  • 录用日期:2022-12-02
  • 在线发布日期: 2023-05-29
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