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Fractional order optimal intensity measures for probabilistic seismic demand modeling of extended pile-shaft-supported bridges in liquefiable and laterally spreading ground

机译:液体和横向蔓延地延伸桩轴支撑桥概率抗震需求建模的分数阶阶阶次幂措施

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摘要

In performance-based earthquake engineering, probabilistic seismic demand models of structures are essential components that provide probabilistic estimates of earthquake-induced demands as a function of a variable(s) called the ground motion intensity measure (IM). Uncertainties in these models are often dependent on the IM used. Extending from traditional integer order IMs, this study assesses the performance of fractional order (FO, order of alpha) IMs on the probabilistic seismic demand modeling of extended pile-shaft supported bridges sited in liquefiable and laterally spreading ground. Uncertainties in structural and geotechnical material properties as well as geometric parameters of the bridges are considered in finite element models to achieve comprehensive scenarios. The FO IMs considered include peak ground response (PGR(alpha)), cumulative absolute response (CAR(alpha)) and its modified version (CAR(5 alpha)), spectral acceleration at 2.0 s for a fractionally damped single degree of freedom (SDF) system (Sad-20 alpha) and for a conventional SDF system with fractional response (Sar-20 alpha), spectrum intensity for a fractionally damped SDF system (SId alpha), as well as for a conventional SDF system with fractional response (SIr alpha). Metrics such as efficiency, practicality, proficiency and sufficiency are measured to assess the optimal alpha with respect to different demand parameters. Results show the advantages of FO IMs as they increase confidence in demand models compared to traditional integer order IMs. In particular, the proposed fractional spectrum intensities (SId alpha and SIr alpha) with their optimal a values produce significant improvements in practicality, efficiency and proficiency, while maintaining sufficiency. Therefore, FO IMs can provide more reliable demand models for probabilistic seismic demand analysis of extended pile-shaft supported bridges in liquefiable and laterally spreading ground.
机译:在基于性能的地震工程中,结构的概率地震需求模型是根据称为地面运动强度测量(IM)的变量的函数提供地震诱导需求的概率估计的基本组件。这些模型中的不确定性往往依赖于我所用的IM。本研究从传统的整数顺序IMS延伸,评估了在液化和横向蔓延地占据液体和横向蔓延的延伸桩支撑桥的概率震荡建模上的分数顺序(α,alpha的顺序)IM。在有限元模型中考虑了结构和岩土材料的不确定性以及桥梁的几何参数,以实现全面的情况。认为IMS包括峰接地响应(PGR(α)),累积绝对响应(汽车(alpha))及其改进版本(汽车(5 alpha)),光谱加速度为2.0秒,用于分馏单一自由度( SDF)系统(SAD-20α)和具有分数响应(SAR-20α)的传统SDF系统,用于分馏的SDF系统(SID alpha)的频谱强度,以及具有分数响应的传统SDF系统( Sir Alpha)。测量效率,实用性,熟练程度和充分性等度量,以评估不同需求参数的最佳alpha。结果显示了与传统整数IMS相比,IMS增加了需求模型的信心。特别是,提出的分数谱强度(SID alpha和SiR alpha)具有最佳的价值,其实用性,效率和熟练程度的显着改善,同时保持充足。因此,FO IMS可以为液化和横向扩散地的延长桩轴支撑桥的概率抗震性能分析提供更可靠的需求模型。

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