Enrichment terms for line singularities in second-order elliptic boundary value problems in 3D heterogeneous media: Application to heat conduction problems
IF 4 2区 工程技术Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
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引用次数: 0
Abstract
A novel enrichment technique is proposed for the solution quality enhancement near weak singularities along straight lines in second-order elliptic boundary value problems. The considered 3D media can generally be heterogeneous. Enrichment is applied through construction of proper 3D singular functions for heterogeneous media. An advantage over similar approaches is that the singular bases are constructed without any knowledge of the analytical singularity order. To this end, the governing PDE is considered in a cylindrical fictitious domain whose axis lies along the singular line, over which the 3D equilibrated singular basis functions are developed. Combined with the smooth solution, the total solution undergoes imposition of the boundary conditions, so that the proper singular functions are automatically built. The singular solution series is primarily made by a combination of first kind Chebyshev polynomials and trigonometric functions, subjected to weighted residual imposition of the PDE to extract the equilibrated singular functions. Meanwhile, the cumbersome 3D integrals break into algebraic combinations of 1D predefined integrals, so that no numerical quadrature will be needed. The bases are tested as a boundary method in the solution of multiple 3D problems including weak singularities, to show their accuracy and efficiency. The proposed singular bases may be implemented in enriched techniques such as XFEM.
期刊介绍:
The objective of this journal is to communicate recent and projected advances in computer-based engineering techniques. The fields covered include mechanical, aerospace, civil and environmental engineering, with an emphasis on research and development leading to practical problem-solving.
The scope of the journal includes:
• Innovative computational strategies and numerical algorithms for large-scale engineering problems
• Analysis and simulation techniques and systems
• Model and mesh generation
• Control of the accuracy, stability and efficiency of computational process
• Exploitation of new computing environments (eg distributed hetergeneous and collaborative computing)
• Advanced visualization techniques, virtual environments and prototyping
• Applications of AI, knowledge-based systems, computational intelligence, including fuzzy logic, neural networks and evolutionary computations
• Application of object-oriented technology to engineering problems
• Intelligent human computer interfaces
• Design automation, multidisciplinary design and optimization
• CAD, CAE and integrated process and product development systems
• Quality and reliability.