大跨空间结构多点输入地震动合成方法研究进展

ADVANCES OF MULTI-POINT GROUND MOTION SIMULATION FOR LARGE-SPAN SPATIAL STRUCTURES

  • 摘要: 多点地震动输入是大跨度空间结构抗震分析的基础,其关键在于合成地震动时程的同时准确反映其空间变异性。针对该问题,该文围绕大跨空间结构抗震分析的工程需求,系统综述了多点地震动输入合成方法的发展脉络及其工程应用进展。重点阐述了无条件模拟与有条件模拟两大类方法在理论假设、实现路径及适用场景上的差异,指出多点地震动合成技术由统计经验模型向引入实测约束与物理机制方向的发展;结合桥梁、隧道及输电塔等典型大跨空间结构的研究成果,总结了地震动空间变异性对结构动力响应分析、系统风险评估及韧性评估的影响规律。地震动空间变异性会整体放大结构响应并改变其失效模式,传统一致地震动输入激励可能低估结构的实际响应与地震风险。该研究为建立考虑空间变异性的大跨空间结构性能化设计理论与风险评估框架奠定基础。

     

    Abstract: Multi-point ground motion excitation input is essential for the seismic analysis of large-span spatial structures, where the key challenge is the accurate matching of target seismic spatial variability characteristics in the simulation of multi-point ground motion time histories. To address this issue, this paper systematically reviews the development of multi-point ground motion synthesis methods and their engineering applications, with a focus on the practical demands of seismic analysis for large-span spatial structures. First, the fundamental differences between unconditional and conditional simulation methods are discussed in terms of theoretical assumptions, implementation strategies, and applicable scenarios, highlighting the evolutionary trend of multi-point ground motion synthesis from purely statistical or empirical models toward approaches incorporating observational constraints and physical mechanisms. Subsequently, based on studies of representative large-span spatial structures such as bridges, tunnels, and transmission towers, the influence of seismic spatial variability on structural dynamic response analysis, system-level risk assessment, and resilience evaluation is summarized. The seismic spatial variability can significantly amplify structural responses and alter failure modes, while traditional uniform ground motion excitation input may underestimate the actual structural responses and actual seismic risk of structures. This research lays a foundation for developing performance-based design theories and risk assessment frameworks for large-span spatial structures with spatial variability considered.

     

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