A Novel Quadratic Exponential B-Spline Based Explicit Time Integration Approach With Energy Corrector Technique for Transient Heat Conduction Analysis

IF 2.9 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Weibin Wen, Yongyu Hong, Kexuan Kang, Xin Ye, Pan Wang, Jun Liang
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引用次数: 0

Abstract

This research proposes a novel single-step explicit time integration approach, which is formulated with a quadratic exponential B-spline interpolation function. To obtain enhanced solution accuracy, especially for problems with discontinuous load, the “energy corrector” technique is developed. Through theoretical analysis, four cases of algorithm parameters for the new approach are determined, which achieve high-order accuracy and desirable stability. Numerical simulation demonstrates that the new approach can provide highly precise solutions for transient heat conduction problems, especially for those with discontinuous loads. Furthermore, the new approach possesses a far larger critical stable time step than the traditional approaches, which in return improves computational efficiency greatly.

基于二次指数b样条的显式时间积分方法与能量校正技术在瞬态热传导分析中的应用
本文提出了一种新的单步显式时间积分方法,该方法用二次指数b样条插值函数表示。为了提高求解精度,特别是对于具有不连续载荷的问题,发展了“能量校正”技术。通过理论分析,确定了新方法的四种算法参数,实现了高阶精度和良好的稳定性。数值模拟结果表明,该方法可以为瞬态热传导问题提供高精度的解,特别是对于具有不连续负荷的瞬态热传导问题。此外,该方法具有比传统方法大得多的临界稳定时间步长,从而大大提高了计算效率。
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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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