2023 年土尔其地震序列中土坝的位移和破坏分析

Ali Lashgari, R. Moss
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摘要

2023 年 2 月 6 日发生在土耳其的地震对各种基础设施造成了严重破坏,其中包括大坝等地质结构。在震中 200 公里半径范围内,共有 17 座土坝受到不同程度的破坏,从轻微变形(2 厘米)到严重变形(150 厘米)不等。研究表明,受损水坝与断层的最近距离小于 30 千米,平均值为 12 千米。本研究采用滑动块法对 17 座受损水坝进行地震位移分析。利用克里格法对记录的地震运动数据进行分析,以估算坝址的频谱响应。此外,还将记录的地面运动按坝址的共振周期进行缩放,以估算加速度时间历程。研究结果表明,刚性块体分析可提供地震位移的平均估算值,相对误差小于 44%。破坏分析结果表明,7 座大坝达到了极限状态,2 座大坝达到了适用性极限状态。此外,根据观测数据和极限状态,开发了单变量和多变量脆性函数来估计土坝的地震概率分析。结果表明,选择单一烈度测量(IM)和组合 IM 会影响预测的溃坝概率。这些研究结果为大坝和其他地质系统在此次强震中的抗震性评估提供了启示。
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Displacement and damage analysis of earth dams during the 2023 Turkiye earthquake sequence
The earthquake sequence that occurred on 6 February 2023 in Turkiye caused significant damage to various infrastructures including geostructures such as dams. A total of 17 earth dams within a 200-km radius of the earthquake epicenter experienced varying degrees of damage, ranging from minor (∼2 cm) to major (up to ∼150 cm) deformations. As study of these reveals that the damaged dams are located within the closest distance to the fault of less than 30 km, with an average value of ∼12 km. This study specifically focuses on the seismic displacement analysis of the 17 damaged dams, utilizing the sliding block methods. The recorded motion data was analyzed using the kriging technique to estimate the spectral response at the dam sites. Moreover, the recorded ground motions were scaled to the resonant period of the dam site to estimate acceleration time history. The findings reveal that the rigid block analysis can provide an average estimation of seismic displacement with a relative error of less than 44%. The results of the damage analysis indicate that seven dams reached the ultimate limit state and two dams experienced the serviceability limit state. Moreover, the univariate and multivariate fragility functions are developed to estimate seismic probabilistic analysis of earth dams based on the observed data and the limit states. The results show that the selection of a single intensity measure (IM) and a combination of IMs can affect the predicted probability of failure. The findings provide an insight into the resilience assessment of dams and other geosystems during this strong earthquake.
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