• ISSN 2097-1893
  • CN 10-1855/P

强地面运动数值模拟方法研究进展

A review of numerical simulation methods for strong ground motion

  • 摘要: 地震产生破坏作用的根源是断层突然错动激发地震波造成地表强烈振动,即强地面运动. 强地面运动数值模拟可系统揭示震源、地球介质及场地条件等因素对地震动的影响机制,是地震工程与地球物理交叉领域的重要研究方向,对于降低地震风险、保护人民生命财产安全具有重要作用. 从发展历程看,强地面运动数值模拟已从单一方法走向多方法融合,从低频解析迈向宽频高精度. 本文系统总结了强地面运动数值模拟方法的分类及应用情况,各种方法均存在自身优势及不足:确定性方法可直接求解波动方程,适用于复杂介质和低频地震波的计算,但存在计算效率低的问题. 随机性方法适用于计算高频地震波且计算高效,但是缺乏明确物理意义. 确定-随机混合模拟方法则存在高频低频地震波叠加难以物理自洽的缺点. 震源编码技术可通过频率域编码减少波动方程求解次数,大幅提升大规模模拟效率. 人工智能技术可获取断层破裂、介质影响和地震波传播之间的复杂非线性关系,无需显式构建物理方程,更高效模拟强地面运动. 虽然目前仍存在强震数据稀缺及计算资源限制等短板,随着计算机技术、人工智能和跨学科合作的发展,强地面运动数值模拟将更高效、更准确,在震害风险评估、抗震设计优化及震后应急救援等方面发挥更大作用.

     

    Abstract: The basic reason of the destructive effect of earthquakes is the sudden slip of faults, which motivates seismic waves and causes surface vibrations, known as strong ground motion. Numerical simulation of strong ground motion can systematically reveal the influence mechanism of factors such as seismic source, earth medium and site condition on earthquake motion, which is an important research direction at the intersection of earthquake engineering and geophysics. It plays an important role in reducing earthquake risks and protecting people's lives and property safety. From the perspective of development, numerical simulation of strong ground motion has moved from a single method to the integration of multiple methods, and from low-frequency analysis to broadband and high-precision. This article systematically summarizes the classification and application of numerical simulation methods for strong ground motion. Each method has its own advantages and disadvantages: deterministic methods can directly solve wave equations and are suitable for calculating complex media and low-frequency seismic waves, but there is a problem of low computational efficiency. The stochastic method is suitable for calculating high-frequency seismic waves which is computationally efficient, but lacks physical significance. The deterministic-stochastic hybrid method has the disadvantage of difficult physical consistency in the superposition of high-frequency and low-frequency. The seismic source encoding technology can reduce the number of wave equation solutions through frequency encoding, greatly improving the efficiency of large-scale simulations. Artificial intelligence technology can obtain complex nonlinear relationships between fault rupture, medium influence and seismic wave propagation, without needing to explicitly construct physical equations. It can simulate strong ground motion more efficiently. Although there are still shortcomings such as scarce strong motion data and limited computing resources, with the development of computer technology, artificial intelligence and interdisciplinary cooperation, numerical simulation of strong ground motion will be more efficient and accurate. It will play a greater role in earthquake risk assessment, seismic design optimization and earthquake emergency rescue.

     

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