Displacement and damage analysis of earth dams during the 2023 Turkiye earthquake sequence

被引:6
|
作者
Lashgari, Ali [1 ,3 ]
Moss, Robb Eric S. [2 ]
机构
[1] Int Inst Earthquake Engn & Seismol, Tehran, Iran
[2] Calif Polytech State Univ San Luis Obispo, San Luis Obispo, CA 93401 USA
[3] Aalborg Univ, Dept Built Environm, Aalborg, Denmark
关键词
Turkiye earthquake; earth dam; seismic displacement; ground motion analysis; damage analysis; fragility curves; SLIDING DISPLACEMENT; PREDICTIVE MODEL; PERFORMANCE; SLOPES; DEFORMATION;
D O I
10.1177/87552930231223749
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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 (similar to 2 cm) to major (up to similar 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 similar to 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.
引用
收藏
页码:939 / 976
页数:38
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