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基于文献计量学的近场动力学研究的演进、热点和趋势分析OA

Research Progress,Hotspots and Trends of Peridynamics Based on Bibliometrics

中文摘要英文摘要

近场动力学(peridynamics,PD)是一种积分型非局部连续介质力学理论,适用于固体材料和结构在复杂载荷作用下的损伤-断裂-破坏问题分析,也被拓展至扩散传输问题、流体力学问题、热-电-磁-湿-力-化等多物理化学耦合问题分析.近年来,近场动力学研究维度更加多元化,研究深度持续加强,应用广度不断延展.该文试图从文献分析的角度,基于文献计量学的统计分析方法和可视化文本挖掘工具CiteSpace,梳理近场动力学研究的发展演进历史、当前的研究热点和未来的研究趋势.近场动力学研究可分为萌芽期、缓慢增长期、快速增长期,研究主力国家为中国、美国、英国、德国、意大利、土耳其等,美国在诸多领域具备领先优势,中国的研究增速最快,中国在近场动力学领域的研究已由"跟跑"转向"并跑"甚至在部分领域实现"领跑".研究热点主要包括近场动力学的理论建模、数值算法和固体动态裂纹扩展以及剧烈破碎问题,弹塑性/大变形问题、热力耦合为代表的多物理场耦合问题、流固耦合问题、非均质材料的多尺度和均匀化建模、近场动力学与其他方法混合建模、高性能计算、近场动力学与各种机器学习方法的结合等,这些也仍将是未来研究人员关注的焦点.

Peridynamics(PD)is a type of integral nonlocal continuum mechanics,originally developed for ana-lyzing damage,fracture,and failure in solids and structures under complex loadings.It has since been extended to diverse problems including diffusion-transport,fluid mechanics,and multi-physics/chemistry couplings(thermal,electrical,magnetic,hygro,chemical).Recent years have witnessed increasingly diversified dimen-sions,deepening research focus,and broadening applications within the peridynamics field.Based on the bib-liometric statistics and visual text-mining tool CiteSpace,PD's development history,current research hotspots,and future trends were reviewed.The research evolution of peridynamics can be categorized into the embryon-ic,the slow-growth,and the fast-growth periods.Leading contributing nations include China,the United States,the United Kingdom,Germany,Italy,and Türkiye.While the US maintains leadership across multiple domains,China exhibits the fastest growth rate,transitioning from following to paralleling and even leading in specific areas.Key research hotspots encompass PD theoretical modeling,numerical algorithms,dynamic crack propagation and severe fracture in solids,elastic-plastic/large deformation problems,multi-physics couplings(notably thermo-mechanical and fluid-solid),multi-scale and homogenization modeling of heterogeneous mate-rials,coupling PD with other methods(e.g.,PD-FEM,PD-SPH,PD-MD,PD-FVM),high-performance compu-ting,and the integration of PD with machine learning.These areas are anticipated to remain central to future re-search of peridynamics.

顾鑫;勾文千;黄丹;章青

河海大学工程力学系,南京 211100河海大学工程力学系,南京 211100河海大学工程力学系,南京 211100河海大学工程力学系,南京 211100

数理科学

近场动力学文献计量学研究现状发展趋势

peridynamicsbibliometricsresearch statustrend

《应用数学和力学》 2026 (1)

15-31,17

国家自然科学基金(1217212112472200)江苏省青年科技人才托举工程项目(JSTJ-2025-172)

10.21656/1000-0887.460132

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