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Near-Fault Forward-Directivity Aspects of Strong Ground Motions in the 2010-11 Canterbury Earthquakes

机译:2010-11坎特伯雷大地震的近断层前向指向性

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摘要

The purpose of this thesis is to conduct a detailed examination of the forward-directivity characteristics of near-fault ground motions produced in the 2010-11 Canterbury earthquakes, including evaluating the efficacy of several existing empirical models which form the basis of frameworks for considering directivity in seismic hazard assessment.A wavelet-based pulse classification algorithm developed by Baker (2007) is firstly used to identify and characterise ground motions which demonstrate evidence of forward-directivity effects from significant events in the Canterbury earthquake sequence. The algorithm fails to classify a large number of ground motions which clearly exhibit an early-arriving directivity pulse due to: (i) incorrect pulse extraction resulting from the presence of pulse-like features caused by other physical phenomena; and (ii) inadequacy of the pulse indicator score used to carry out binary pulse-like/non-pulse-like classification. An alternative ‘manual’ approach is proposed to ensure 'correct' pulse extraction and the classification process is also guided by examination of the horizontal velocity trajectory plots and source-to-site geometry. Based on the above analysis, 59 pulse-like ground motions are identified from the Canterbury earthquakes , which in the author's opinion, are caused by forward-directivity effects. The pulses are also characterised in terms of their period and amplitude. A revised version of the B07 algorithm developed by Shahi (2013) is also subsequently utilised but without observing any notable improvement in the pulse classification results.A series of three chapters are dedicated to assess the predictive capabilities of empirical models to predict the: (i) probability of pulse occurrence; (ii) response spectrum amplification caused by the directivity pulse; (iii) period and amplitude (peak ground velocity, PGV) of the directivity pulse using observations from four significant events in the Canterbury earthquakes. Based on the results of logistic regression analysis, it is found that the pulse probability model of Shahi (2013) provides the most improved predictions in comparison to its predecessors. Pulse probability contour maps are developed to scrutinise observations of pulses/non-pulses with predicted probabilities. A direct comparison of the observed and predicted directivity amplification of acceleration response spectra reveals the inadequacy of broadband directivity models, which form the basis of the near-fault factor in the New Zealand loadings standard, NZS1170.5:2004. In contrast, a recently developed narrowband model by Shahi & Baker (2011) provides significantly improved predictions by amplifying the response spectra within a small range of periods. The significant positive bias demonstrated by the residuals associated with all models at longer vibration periods (in the Mw7.1 Darfield and Mw6.2 Christchurch earthquakes) is likely due to the influence of basin-induced surface waves and non-linear soil response.Empirical models for the pulse period notably under-predict observations from the Darfield and Christchurch earthquakes, inferred as being a result of both the effect of nonlinear site response and influence of the Canterbury basin. In contrast, observed pulse periods from the smaller magnitude June (Mw6.0) and December (Mw5.9) 2011 earthquakes are in good agreement with predictions. Models for the pulse amplitude generally provide accurate estimates of the observations at source-to-site distances between 1 km and 10 km. At longer distances, observed PGVs are significantly under-predicted due to their slower apparent attenuation. Mixed-effects regression is employed to develop revised models for both parameters using the latest NGA-West2 pulse-like ground motion database. A pulse period relationship which accounts for the effect of faulting mechanism using rake angle as a continuous predictor variable is developed. The use of a larger database in model development, however does not result in improved predictions of pulse period for the Darfield and Christchurch earthquakes. In contrast, the revised model for PGV provides a more appropriate attenuation of the pulse amplitude with distance, and does not exhibit the bias associated with previous models.Finally, the effects of near-fault directivity are explicitly included in NZ-specific probabilistic seismic hazard analysis (PSHA) using the narrowband directivity model of Shahi & Baker (2011). Seismic hazard analyses are conducted with and without considering directivity for typical sites in Christchurch and Otira. The inadequacy of the near-fault factor in the NZS1170.5: 2004 is apparent based on a comparison with the directivity amplification obtained from PSHA.
机译:本文的目的是对2010-11坎特伯雷地震产生的近断层地震动的正向性特征进行详细研究,包括评估几种现有的经验模型的有效性,这些模型构成了考虑方向性的框架的基础Baker(2007)开发的基于小波的脉冲分类算法首次用于识别和表征地面运动,这证明了坎特伯雷地震序列中重大事件的正向作用证据。由于以下原因,该算法无法对明显表现出较早方向性脉冲的大量地面运动进行分类:(i)由于其他物理现象引起的类似脉冲的特征而导致的不正确的脉冲提取; (ii)用于执行二进制类脉冲/非类脉冲分类的脉冲指示符分数不足。提出了另一种“手动”方法来确保“正确”的脉冲提取,并且通过检查水平速度轨迹图和源到站点的几何形状来指导分类过程。根据以上分析,从坎特伯雷地震中识别出59种脉冲状地震动,在作者看来,这是由前向效应引起的。脉冲还根据其周期和幅度进行表征。随后也使用了Shahi(2013)开发的B07算法的修订版,但没有发现脉冲分类结果有任何显着改善。一系列三章专门评估了经验模型对以下方面的预测能力: )发生脉冲的可能性; (ii)由方向性脉冲引起的响应频谱放大; (iii)使用来自坎特伯雷地震中四个重大事件的观测结果,得出方向性脉冲的周期和振幅(峰值地面速度,PGV)。根据Logistic回归分析的结果,发现Shahi(2013)的脉搏概率模型与之前的模型相比,提供了最完善的预测。开发了脉冲概率轮廓图,以检查具有预测概率的脉冲/非脉冲的观察结果。对观察到的和预测的加速度响应谱的方向性放大的直接比较揭示了宽带方向性模型的不足之处,该模型构成了新西兰负荷标准NZS1170.5:2004中近断层因子的基础。相比之下,Shahi&Baker(2011)最近开发的窄带模型通过在较小的周期范围内放大响应谱,大大改善了预测。所有模型在较长振动周期(在Mw7.1达菲尔德和Mw6.2克赖斯特彻奇地震中)相关的残差表明存在明显的正偏差,这可能是由于盆地诱发的表面波和非线性土壤响应的影响所致。由于非线性场地响应的影响和坎特伯雷盆地的影响,推论出脉冲周期的模型尤其明显地低估了达尔菲尔德和克赖斯特彻奇地震的观测结果。相反,从较小的2011年6月(Mw6.0)和12月(Mw5.9)地震中观察到的脉冲周期与预测相吻合。脉冲幅度模型通常可以在1 km至10 km的源到站点距离处提供准确的观测值估计。在更长的距离上,观察到的PGV由于其较慢的表观衰减而被严重低估了。使用最新的NGA-West2类脉冲地面运动数据库,使用混合效应回归来开发两个参数的修订模型。建立了一个脉冲周期关系,该关系解释了使用前角作为连续预测变量的故障机制的影响。但是,在模型开发中使用更大的数据库并不能改善Darfield和Christchurch地震的脉冲周期预测。相比之下,修改后的PGV模型可以更适当地衰减脉冲幅度随距离的变化,并且不会表现出与先前模型相关的偏差。最后,近断层方向性的影响明确包含在NZ特定概率地震灾害中使用Shahi&Baker(2011)的窄带方向性模型进行分析(PSHA)。在考虑和不考虑克赖斯特彻奇和奥蒂拉典型地点的方向性的情况下进行地震危险性分析。基于与从PSHA获得的方向性放大的比较,在NZS1170.5:2004中,接近故障因子的不足很明显。

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    Joshi Varun Anil;

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