Scholarlink

<p>A robust <i>hp</i>-adaptive finite element framework is presented for the investigation of static cracks in materials characterized by complex, pointwise density variations. Within such heterogeneous media, the equilibrium equation—governed by the divergence of the stress tensor—is reduced to a vector-valued quasilinear partial differential equation, wherein significant gradients and nonlinearities are introduced into the governing constitutive relations by spatial density variations. To ensure that these localized field variables are accurately captured, an automated <i>hp</i>-refinement strategy is implemented so that element sizes (<i>h</i>) and polynomial degrees (<i>p</i>) are concurrently optimized. A dual-indicator approach is employed by the framework. In this approach, <i>h</i>-refinement is driven by the <i>Kelly error estimator</i>, which utilizes the jump of the normal derivative across element interfaces, while <i>p</i>-refinement is determined by the decay of <i>Legendre-Fourier coefficients</i> to assess the local smoothness of the solution. This dual-refinement strategy ensures good convergence, particularly in the singular regions surrounding the crack tip, where material heterogeneities and geometric discontinuities intersect. The performance of the proposed method is rigorously evaluated across three distinct loading regimes: pure tensile (Mode I), pure shear (Mode II), and mixed-mode loading. It is demonstrated through numerical simulations that the intricate interaction between the fracture process zone and the underlying material heterogeneities is effectively resolved by the <i>hp</i>-adaptive scheme. Furthermore, the influence of specific density-dependent constitutive relations on the resulting crack-tip stress fields and strain energy density distributions is analyzed in detail. Overall, a computational framework that provides a high-fidelity computational tool suitable for the predictive design and failure analysis of functionally graded and heterogeneous engineering materials.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

An hp-adaptive finite element framework for static cracks: the impact of pointwise density variations on mode I, mode II, and mixed-mode fracture

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月2日

查看全文
  • S. M. Mallikarjunaiah

摘要

A robust hp-adaptive finite element framework is presented for the investigation of static cracks in materials characterized by complex, pointwise density variations. Within such heterogeneous media, the equilibrium equation—governed by the divergence of the stress tensor—is reduced to a vector-valued quasilinear partial differential equation, wherein significant gradients and nonlinearities are introduced into the governing constitutive relations by spatial density variations. To ensure that these localized field variables are accurately captured, an automated hp-refinement strategy is implemented so that element sizes (h) and polynomial degrees (p) are concurrently optimized. A dual-indicator approach is employed by the framework. In this approach, h-refinement is driven by the Kelly error estimator, which utilizes the jump of the normal derivative across element interfaces, while p-refinement is determined by the decay of Legendre-Fourier coefficients to assess the local smoothness of the solution. This dual-refinement strategy ensures good convergence, particularly in the singular regions surrounding the crack tip, where material heterogeneities and geometric discontinuities intersect. The performance of the proposed method is rigorously evaluated across three distinct loading regimes: pure tensile (Mode I), pure shear (Mode II), and mixed-mode loading. It is demonstrated through numerical simulations that the intricate interaction between the fracture process zone and the underlying material heterogeneities is effectively resolved by the hp-adaptive scheme. Furthermore, the influence of specific density-dependent constitutive relations on the resulting crack-tip stress fields and strain energy density distributions is analyzed in detail. Overall, a computational framework that provides a high-fidelity computational tool suitable for the predictive design and failure analysis of functionally graded and heterogeneous engineering materials.