Large time solution for collisional breakage model: Laplace transformation based accelerated homotopy perturbation method

IF 4.4 2区 数学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Shweta , Gourav Arora , Rajesh Kumar
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引用次数: 0

Abstract

The behavior of several particulate processes, such as cell interaction, blood clotting, bubble formation, grain breakage, and cheese formation from milk, have been studied using coagulation and fragmentation models (Fogelson and Guy, 2008 [1]; Pazmiño et al., 2022 [2]; Chen et al., [3]). Various studies utilize the linear fragmentation model to simplify the underlying physics. However, in real-life scenarios, particles form due to the collision of two particles, leading to a non-linear collisional breakage model. Unfortunately, the collisional breakage model is less explored due to its complex behavior. While analytical solutions are difficult to compute and are still missing in the literature, this article proposes an approximate solution for the model using the Laplace-based accelerated homotopy perturbation method. Further, coupling with Padé approximant, the accuracy of the solution is extended for the longer time. Considering various physically relevant kernels, the approximate series solutions are compared with the well known finite-volume solutions to measure the accuracy in terms of qualitative and quantitative errors. The article also encompasses theoretical convergence analysis and error estimations to enhance comprehension of the proposed formulation.
碰撞破裂模型的大时间求解:基于拉普拉斯变换的加速同调扰动法
人们利用凝结和破碎模型研究了一些微粒过程的行为,如细胞相互作用、血液凝结、气泡形成、谷物破碎和牛奶中奶酪的形成(Fogelson 和 Guy,2008 [1];Pazmiño 等人,2022 [2];Chen 等人,[3])。各种研究都利用线性破碎模型来简化基本物理原理。然而,在现实生活中,粒子的形成是由于两个粒子的碰撞,这就导致了非线性碰撞破碎模型。遗憾的是,碰撞破碎模型因其复杂的行为而较少被探索。虽然分析解很难计算,而且在文献中仍然缺失,但本文利用基于拉普拉斯的加速同调扰动法提出了该模型的近似解。此外,通过与帕代近似值的耦合,求解的精度得到了较长时间的扩展。考虑到各种与物理相关的内核,将近似序列解与众所周知的有限体积解进行比较,以衡量定性和定量误差方面的准确性。文章还包括理论收敛分析和误差估计,以加深对所提公式的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Mathematics and Computers in Simulation
Mathematics and Computers in Simulation 数学-计算机:跨学科应用
CiteScore
8.90
自引率
4.30%
发文量
335
审稿时长
54 days
期刊介绍: The aim of the journal is to provide an international forum for the dissemination of up-to-date information in the fields of the mathematics and computers, in particular (but not exclusively) as they apply to the dynamics of systems, their simulation and scientific computation in general. Published material ranges from short, concise research papers to more general tutorial articles. Mathematics and Computers in Simulation, published monthly, is the official organ of IMACS, the International Association for Mathematics and Computers in Simulation (Formerly AICA). This Association, founded in 1955 and legally incorporated in 1956 is a member of FIACC (the Five International Associations Coordinating Committee), together with IFIP, IFAV, IFORS and IMEKO. Topics covered by the journal include mathematical tools in: •The foundations of systems modelling •Numerical analysis and the development of algorithms for simulation They also include considerations about computer hardware for simulation and about special software and compilers. The journal also publishes articles concerned with specific applications of modelling and simulation in science and engineering, with relevant applied mathematics, the general philosophy of systems simulation, and their impact on disciplinary and interdisciplinary research. The journal includes a Book Review section -- and a "News on IMACS" section that contains a Calendar of future Conferences/Events and other information about the Association.
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