高斯源诱导的分数孔粘弹性层中love型波在粘弹性-弹性半空间中的传播模型

IF 4.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Subhajyoti Sarkar, Santimoy Kundu
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引用次数: 0

摘要

本文提出了一个由高斯分布源产生的love型表面波在位于粘弹性-弹性半空间上方的多孔粘弹性层中传播的数学模型。该模型结合了依赖于记忆的分数粘弹性,使用Riemann-Liouville导数来更准确地表示依赖于时间的机械行为。考虑到孔隙弹性相互作用和材料性质的空间变化,推导了层状介质和半空间介质的波动控制方程。利用傅里叶和格林函数技术,推导并分析了色散关系。数值模拟研究了非均匀性因素、分数记忆指数和高斯源特性等参数对love型波色散特性的影响。为了将这些发现扩展到结构意义上,采用了单自由度振荡器模型,并进行了蒙特卡罗模拟来比较高斯源和点源激发的振荡器响应。通过对频散现象和振子响应的综合分析,揭示了顶部孔粘弹性层的分数记忆参数在控制振子的最大振幅和振动持续时间方面的主导作用。通过将波频散与振荡器动力学联系起来,该框架将源介质表征与结构响应联系起来,强调明确包含分数粘弹性对于精确的地震危险建模和可靠的结构需求估计至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling of Love-type wave propagation in a fractional poro-viscoelastic layer over a viscoelastic-to-elastic half-space, induced by a Gaussian source
This study presents a mathematical model for the propagation of Love-type surface waves generated by a Gaussian distributed source in a poro-viscoelastic layer that lies above a viscoelastic-to-elastic half-space. The model incorporates memory-dependent fractional viscoelasticity using Riemann–Liouville derivatives to more accurately represent time-dependent mechanical behavior. The governing equations for wave motion are derived for both the layered and half-space media, taking into account poroelastic interactions and spatial variations in material properties. Using Fourier and Green’s function techniques, dispersion relations are derived and analyzed. Numerical simulations examine the influence of various parameters, including heterogeneity factors, fractional memory indices and the characteristics of the Gaussian source, on the dispersion characteristics of the Love-type waves. To extend these findings to structural implications, a single-degree-of-freedom oscillator model is employed and Monte Carlo simulations are carried out to compare oscillator responses excited by Gaussian versus point sources. The combined analysis of dispersion phenomenon and oscillator response highlights the dominant role of the fractional memory parameters of the top poro-viscoelastic layer in controlling the maximum amplitude and the vibration duration of the oscillator. By linking wave dispersion with oscillator dynamics, this framework bridges source–medium characterization and structural response, underscoring that explicit inclusion of fractional viscoelasticity is essential for accurate seismic hazard modeling and reliable estimation of structural demands.
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来源期刊
Applied Mathematical Modelling
Applied Mathematical Modelling 数学-工程:综合
CiteScore
9.80
自引率
8.00%
发文量
508
审稿时长
43 days
期刊介绍: Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged. This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering. Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.
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