Earthquake record truncation metric for nonlinear dynamic analyses of high rockfill dams

被引:0
|
作者
Jiang, Qiuting [1 ,2 ]
Zou, Degao [1 ,2 ]
Liu, Jingmao [1 ,2 ]
Qu, Yongqian [1 ,2 ]
Chen, Kai [1 ,2 ]
Zhou, Chenguang [1 ,2 ]
Li, Duo [1 ,2 ]
机构
[1] Dalian Univ Technol, State Key Lab Coastal & Offshore Engn, Dalian 116024, Liaoning, Peoples R China
[2] Dalian Univ Technol, Sch Hydraul Engn, Dalian 116024, Liaoning, Peoples R China
基金
中国国家自然科学基金;
关键词
High rockfill dam; Seismic duration; Crest settlement; Horizontal displacement; Probability; SEISMIC PERFORMANCE ASSESSMENT; SOIL-STRUCTURE INTERACTION; DAMAGE PERFORMANCE; CFR DAM; DURATION; 3D; SCATTERING; DEFORMATION; SIMULATION; FRAGILITY;
D O I
10.1016/j.istruc.2024.107913
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The long initial and coda waves with small amplitude are often observed in an actual earthquake record. Truncating those wavebands that contribute little to structural responses is helpful to focus on the strong shaking phase and reduce computational cost. In the paper, 157 actual earthquake records and the acceleration time windows constrained by truncation thresholds of Arias intensity serve as input ground motions. A large number of elastoplastic dynamic analyses on a 295 m-high core-wall rockfill dam (CRFD) are conducted using the generalized plasticity model and seismic wave input method. Inspired by fragility equation, the probability curves for the accuracy loss of dam response less than different limits under different truncation thresholds are established, quantifying the destructiveness of the truncated seismic acceleration time windows. Results show that the probabilities are minimally affected by peak ground acceleration (PGA); the allowable tail truncation of earthquake records is much more than the leading due to the asymmetry of seismic waveforms and the cyclic hardening characteristic of rockfill materials; the truncation metric of 0.01-98 % Arias intensity is proved to be effective and robust in accelerating dynamic analyses of rockfill dams with an accuracy loss within 5 % and an average reduction in computational workload of approximately 50 %.
引用
收藏
页数:12
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