We propose an adaptive mesh refinement strategy for immersed isogeometric analysis, with application to steady heat conduction and viscous flow problems. The proposed strategy is based on residual-based error estimation, which has been tailored to the immersed setting by the incorporation of appropriately scaled stabilization and boundary terms. Element-wise error indicators are elaborated for the Laplace and Stokes problems, and a THB-spline-based local mesh refinement strategy is proposed. The error estimation .and adaptivity procedure is applied to a series of benchmark problems, demonstrating the suitability of the technique for a range of smooth and non-smooth problems. The adaptivity strategy is also integrated in a scan-based analysis workflow, capable of generating reliable, error-controlled, results from scan data, without the need for extensive user interactions or interventions.
翻译:我们提议了一项适应性网格改进战略,用于沉浸的等离子测量分析,应用到稳定的热导和粘性流动问题。拟议战略的基础是基于残余的误差估计,该估计是根据适当规模的稳定性和边界条件加以调整的。为拉皮尔和斯托克斯问题制定了元素误差指标,并提出了基于THB的基于THB的本地网目改进战略。错误估计 和适应性程序适用于一系列基准问题,表明该技术适合一系列顺畅和非湿润问题。适应性战略还被纳入基于扫描的分析工作流程,能够产生可靠、受错误控制的扫描数据结果,不需要广泛的用户互动或干预。