求解非线性碰撞破碎方程的杂交迭代格式

IF 3.7 3区 计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Shweta , Saddam Hussain , Rajesh Kumar
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引用次数: 0

摘要

非线性碰撞破碎在许多工程和物理问题的建模中起着至关重要的作用。与线性断裂相反,它在现有文献中尚未得到彻底的研究。本研究引入了一种创新的迭代方法,利用Elzaki积分变换作为提高adomian分解精度和收敛性的准备步骤,与投影微分变换方法一起使用,以获得碰撞破碎方程(CBE)解的封闭形式或序列近似。该技术的一个显著优点是它能够直接处理线性和非线性微分方程,而不需要离散化或线性化。数学框架是通过一个彻底的收敛分析,应用不动点理论在一个充分定义的巴拿赫空间加强。此外,推导了近似解的误差估计,为所提出方法的准确性和可靠性提供了更深刻的见解。通过将所得结果与精确解或有限体积近似解进行比较,证明了该方法的有效性。有趣的是,所提出的算法产生精确的近似数密度函数和矩与更少的项,并保持较高的精度在延长的时间周期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybridized iterative scheme for solving non-linear collisional-breakage equation
The non-linear collision induced fragmentation plays a crucial role in modeling several engineering and physical problems. In contrast to linear breakage, it has not been thoroughly investigated in the existing literature. This study introduces an innovative iterative method that leverages the Elzaki integral transform as a preparatory step to enhance the accuracy and convergence of adomian decomposition, used alongside the projected differential transform method to obtain closed-form or series approximations of solutions for the collisional breakage equation (CBE). A significant advantages of this technique is its capability to directly address both linear and nonlinear differential equations without the need for discretization or linearization. The mathematical framework is reinforced by a thorough convergence analysis, applying fixed point theory within an adequately defined Banach space. Additionally, error estimates for the approximated solutions are derived, offering more profound insights into the accuracy and dependability of the proposed method. The validity of this approach is demonstrated by comparing the obtained results with exact or finite volume approximated solutions considering several physical examples. Interestingly, the proposed algorithm yields accurate approximations for the number density functions as well as moments with fewer terms and maintains higher precision over extended time periods.
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来源期刊
Journal of Computational Science
Journal of Computational Science COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-COMPUTER SCIENCE, THEORY & METHODS
CiteScore
5.50
自引率
3.00%
发文量
227
审稿时长
41 days
期刊介绍: Computational Science is a rapidly growing multi- and interdisciplinary field that uses advanced computing and data analysis to understand and solve complex problems. It has reached a level of predictive capability that now firmly complements the traditional pillars of experimentation and theory. The recent advances in experimental techniques such as detectors, on-line sensor networks and high-resolution imaging techniques, have opened up new windows into physical and biological processes at many levels of detail. The resulting data explosion allows for detailed data driven modeling and simulation. This new discipline in science combines computational thinking, modern computational methods, devices and collateral technologies to address problems far beyond the scope of traditional numerical methods. Computational science typically unifies three distinct elements: • Modeling, Algorithms and Simulations (e.g. numerical and non-numerical, discrete and continuous); • Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems; • Computer and information science that develops and optimizes the advanced system hardware, software, networking, and data management components (e.g. problem solving environments).
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