High-order accurate multi-sub-step implicit integration algorithms with dissipation control for hyperbolic problems

IF 2.2 3区 工程技术 Q2 MECHANICS Archive of Applied Mechanics Pub Date : 2024-07-15 DOI:10.1007/s00419-024-02637-y
Jinze Li, Hua Li, Kaiping Yu, Rui Zhao
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Abstract

This paper proposes an implicit family of sub-step integration algorithms grounded in the explicit singly diagonally implicit Runge–Kutta (ESDIRK) method. The proposed methods achieve third-order consistency per sub-step, and thus, the trapezoidal rule is always employed in the first sub-step. This paper demonstrates for the first time that the proposed s-sub-step implicit method with \( s\le 6 \) can reach sth-order accuracy when achieving dissipation control and unconditional stability simultaneously. Hence, this paper develops, analyzes, and compares four cost-optimal high-order implicit algorithms within the present s-sub-step method using three, four, five, and six sub-steps. Each high-order implicit algorithm shares identical effective stiffness matrices to achieve optimal spectral properties. Unlike the published algorithms, the proposed high-order methods do not suffer from the order reduction for solving forced vibrations. Moreover, the novel methods overcome the defect that the authors’ previous algorithms require an additional solution to obtain accurate accelerations. Linear and nonlinear examples are solved to confirm the numerical performance and superiority of four novel high-order algorithms.

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带耗散控制的双曲问题高阶精确多子步隐式积分算法
本文提出了一种基于显式单对角隐式 Runge-Kutta (ESDIRK) 方法的隐式分步积分算法系列。所提出的方法实现了每个子步骤的三阶一致性,因此,梯形法则总是在第一个子步骤中使用。本文首次证明了所提出的具有 \( s\le 6 \) 的 s 子步隐式方法在同时实现耗散控制和无条件稳定性时可以达到 sth 阶精度。因此,本文开发、分析并比较了目前 s 子步法中使用三、四、五、六子步的四种成本最优的高阶隐式算法。每种高阶隐式算法都共享相同的有效刚度矩阵,以获得最佳频谱特性。与已公布的算法不同,所提出的高阶方法在求解受迫振动时不会出现阶次减少的问题。此外,新方法还克服了作者之前的算法需要额外求解才能获得精确加速度的缺陷。通过对线性和非线性实例的求解,证实了四种新型高阶算法的数值性能和优越性。
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来源期刊
CiteScore
4.40
自引率
10.70%
发文量
234
审稿时长
4-8 weeks
期刊介绍: Archive of Applied Mechanics serves as a platform to communicate original research of scholarly value in all branches of theoretical and applied mechanics, i.e., in solid and fluid mechanics, dynamics and vibrations. It focuses on continuum mechanics in general, structural mechanics, biomechanics, micro- and nano-mechanics as well as hydrodynamics. In particular, the following topics are emphasised: thermodynamics of materials, material modeling, multi-physics, mechanical properties of materials, homogenisation, phase transitions, fracture and damage mechanics, vibration, wave propagation experimental mechanics as well as machine learning techniques in the context of applied mechanics.
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