{"title":"一种求解描述浅水波传播的良好Boussinesq方程的改进配点法","authors":"Emre Kırlı","doi":"10.1002/nme.70152","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>The present work is about obtaining a high-order accurate numerical approach to approximate the solution of the good Boussinesq equation (GBeq). In present approach, the quintic B-spline collocation procedure equipped with new approximations for the second-order and the fourth-order spatial derivatives is employed to discretize the spatial variables and Crank–Nicolson scheme is used to obtain temporal integration of the GBeq. The proposed approach achieves sixth-order accuracy and second-order accuracy in spatial and temporal directions, respectively. By von-Neumann stability analysis, the unconditionally stability of the suggested approach is proved. The efficiency and applicability of the computational approach is verified by examining the sample problems including motion of single solitary, interaction of two solitons and birth of solitons. The <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>L</mi>\n </mrow>\n <mrow>\n <mi>∞</mi>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {L}_{\\infty } $$</annotation>\n </semantics></math> error norm is computed and compared with the existing studies in the literature. The comparisons demonstrate that the suggested approach is superior to some existing techniques in terms of accuracy. Also, the rate of convergence and invariant constant are numerically computed and seen to match with their theoretical values.</p>\n </div>","PeriodicalId":13699,"journal":{"name":"International Journal for Numerical Methods in Engineering","volume":"126 19","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Novel Improved Collocation Approach to Solve Good Boussinesq Equation Describing Propagation of Shallow Water Waves\",\"authors\":\"Emre Kırlı\",\"doi\":\"10.1002/nme.70152\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>The present work is about obtaining a high-order accurate numerical approach to approximate the solution of the good Boussinesq equation (GBeq). In present approach, the quintic B-spline collocation procedure equipped with new approximations for the second-order and the fourth-order spatial derivatives is employed to discretize the spatial variables and Crank–Nicolson scheme is used to obtain temporal integration of the GBeq. The proposed approach achieves sixth-order accuracy and second-order accuracy in spatial and temporal directions, respectively. By von-Neumann stability analysis, the unconditionally stability of the suggested approach is proved. The efficiency and applicability of the computational approach is verified by examining the sample problems including motion of single solitary, interaction of two solitons and birth of solitons. The <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mrow>\\n <mi>L</mi>\\n </mrow>\\n <mrow>\\n <mi>∞</mi>\\n </mrow>\\n </msub>\\n </mrow>\\n <annotation>$$ {L}_{\\\\infty } $$</annotation>\\n </semantics></math> error norm is computed and compared with the existing studies in the literature. The comparisons demonstrate that the suggested approach is superior to some existing techniques in terms of accuracy. Also, the rate of convergence and invariant constant are numerically computed and seen to match with their theoretical values.</p>\\n </div>\",\"PeriodicalId\":13699,\"journal\":{\"name\":\"International Journal for Numerical Methods in Engineering\",\"volume\":\"126 19\",\"pages\":\"\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-10-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal for Numerical Methods in Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/nme.70152\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal for Numerical Methods in Engineering","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/nme.70152","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
A Novel Improved Collocation Approach to Solve Good Boussinesq Equation Describing Propagation of Shallow Water Waves
The present work is about obtaining a high-order accurate numerical approach to approximate the solution of the good Boussinesq equation (GBeq). In present approach, the quintic B-spline collocation procedure equipped with new approximations for the second-order and the fourth-order spatial derivatives is employed to discretize the spatial variables and Crank–Nicolson scheme is used to obtain temporal integration of the GBeq. The proposed approach achieves sixth-order accuracy and second-order accuracy in spatial and temporal directions, respectively. By von-Neumann stability analysis, the unconditionally stability of the suggested approach is proved. The efficiency and applicability of the computational approach is verified by examining the sample problems including motion of single solitary, interaction of two solitons and birth of solitons. The error norm is computed and compared with the existing studies in the literature. The comparisons demonstrate that the suggested approach is superior to some existing techniques in terms of accuracy. Also, the rate of convergence and invariant constant are numerically computed and seen to match with their theoretical values.
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.