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河流的新航道——应用数学与力学的学科再定向

卢天健

卢天健. 河流的新航道——应用数学与力学的学科再定向[J]. 应用数学和力学, 2026, 47(5): 529-540. doi: 10.21656/1000-0887.472008
引用本文: 卢天健. 河流的新航道——应用数学与力学的学科再定向[J]. 应用数学和力学, 2026, 47(5): 529-540. doi: 10.21656/1000-0887.472008
LU Tianjian. The River’s New Channels: Reorienting Applied Mathematics and Mechanics[J]. Applied Mathematics and Mechanics, 2026, 47(5): 529-540. doi: 10.21656/1000-0887.472008
Citation: LU Tianjian. The River’s New Channels: Reorienting Applied Mathematics and Mechanics[J]. Applied Mathematics and Mechanics, 2026, 47(5): 529-540. doi: 10.21656/1000-0887.472008

河流的新航道——应用数学与力学的学科再定向

doi: 10.21656/1000-0887.472008
详细信息
    作者简介:

    卢天健(1964—),男,教授,博士,博士生导师(通信作者. E-mail: tjlu@nuaa.edu.cn);孟晗(1989—),女,教授,博士,博士生导师(E-mail: menghan@nuaa.edu.cn);姜永烽(2000—),男,博士生(E-mail: yfjiang@nuaa.edu.cn).

    通讯作者:

    卢天健(1964—),男,教授,博士,博士生导师(通信作者. E-mail: tjlu@nuaa.edu.cn)

  • 中图分类号: O3

The River’s New Channels: Reorienting Applied Mathematics and Mechanics

  • 摘要: 应用数学与力学已经进入一个必须重新辨明学科方向、研究重心与办刊取向的阶段.今天的困难,不是没有方向,而是方向太多;不是没有新词,而是新词太多,以至于主流与支流、河床与浪花越来越容易被混淆.本文以“河流的新航道”为隐喻,讨论数智时代应用数学与力学为何需要重新定向、应当朝哪里定向、又应当如何组织这种定向.文章认为,对《应用数学和力学》而言,真正的落脚点始终应当是力学对象、力学问题与力学规律;应用数学的重要性,不只是体现在为抽象形式与一般方法的推进,更在于它能够面向真实力学问题,提供建模、分析、计算、反演、优化、不确定性量化和数据同化等可信方法支撑.真正值得持续布局的新航道,不应只是若干热点对象的并列、罗列,而应首先回到力学的基本变量、基本关系、基本边界与基本方法之上,重建“力学基础问题与可信方法体系”这一总纲.在这一总纲下,AI for Mechanics代表方法重组航道,从超材料走向智能超结构系统代表结构对象拓展航道,非局部理论与多场耦合代表理论基础重构航道,从生物力学到生命力学代表生命对象与机制整合航道.4条航道并非彼此孤立,而是在复杂工程问题与极端力学这两个试验场中不断交汇、并流和接受检验.需要强调的是,真实需求不能替代自由探索和原始创新;更准确地说,基础问题提供河床,自由探索开辟源头,真实需求暴露边界,复杂系统检验成色.基于这一判断,本文提出《应用数学和力学》应在保持开放交叉视野的同时,明确以力学基础问题和复杂工程问题为主线、以应用数学提供可信方法支撑的办刊定位,并通过专题组织、问题链扶持、方向研判与共同体塑造,主动成为新航道的“水文测绘者”.
  • 卢天健. 桥仍在, 河向前[J]. 应用数学和力学, 2026,47(1): ⅰ-ⅳ. (LU Tianjian. The current runs while the bridge holds[J].Applied Mathematics and Mechanics,2026,47

    (1): ⅰ-ⅳ. (in Chinese))
    [2]卢天健. 为什么科学研究必须坚持“四性”——关于重要性、必要性、创新性与可行性的几点思考[J]. 应用数学和力学, 2026,47(4): 391-403. (LU Tianjian. Why scientific research must uphold the four essential criteria: reflections on significance, necessity, originality, and feasibility[J].Applied Mathematics and Mechanics,2026,47(4): 391-403. (in Chinese))
    [3]WANG Y, ZOU G, GAO H. Mechano-X: a paradigm for mechanics-based interdisciplinary innovation[J].MechanoEngineering,2026,1: 010801.
    [4]LU T J. What is MechanoEngineering?[J].MechanoEngineering,2026,1: 010401.
    [5]杨卫. 力学基本问题[M]. 北京: 科学出版社, 2024. (YANG Wei.Basic Issues in Mechanics[M]. Beijing: Science Press, 2024. (in Chinese))
    [6]胡海岩, 乔栋, 李翔宇, 等. 力学工程问题[M]. 北京: 科学出版社, 2024. (HU Haiyan, QIAO Dong, LI Xiangyu, et al.Engineering Issues in Mechanics[M]. Beijing: Science Press, 2024. (in Chinese))
    [7]钱学森. 论技术科学[J]. 科学通报, 1957,8(3): 97-104. (QIAN Xuesen. On technological science[J].Chinese Science Bulletin,1957,8(3): 97-104. (in Chinese))
    [8]BAI J, WANG Y, JEONG H, et al. Towards the future of physics- and data-guided AI frameworks in computational mechanics[J].Acta Mechanica Sinica,2025,41(7): 225340.
    [9]THAWON I, VO D, BUI T Q, et al. Physics-informed neural networks: current progress and challenges in computational solid and structural mechanics[J].Computer Modeling in Engineering & Sciences,2026,146(2): 1-10.
    [10]ANI A, NAKKA R, SUBHASH G, et al. Machine learning for computational fracture and damage mechanics: status and perspectives[J].Engineering Fracture Mechanics,2026,332: 111778.
    [11]HERRMANN L, KOLLMANNSBERGER S. Deep learning in computational mechanics: a review[J].Computational Mechanics,2024,74(2): 281-331.
    [12]ZHAO Y, LI H, ZHOU H, et al. A review of graph neural network applications in mechanics-related domains[J].Artificial Intelligence Review,2024,57(11): 315.
    [13]DORNHEIM J, MORAND L, NALLANI H J, et al. Neural networks for constitutive modeling: from universal function approximators to advanced models and the integration of physics[J].Archives of Computational Methods in Engineering,2024,31(2): 1097-1127.
    [14]IRANSHAHI K, BRUN J, ARNOLD T, et al. Digital twins: recent advances and future directions in engineering fields[J].Intelligent Systems with Applications,2025,26: 200516.
    [15]康瑞, 李雪, 孟晗, 等. 轻巧-承力-功能一体化超结构: 概念、设计及应用[J]. 应用数学和力学, 2024,45(8): 949-973. (KANG Rui, LI Xue, MENG Han, et al. Ultralight, compact, and load-bearing multifunctional metastructures: concept, design and applications[J].Applied Mathematics and Mechanics,2024,45(8): 949-973. (in Chinese))
    [16]WANG H, YANG Y, ZHOU X, et al. Rational design of mechanical bio-metamaterials for biomedical applications[J].Progress in Materials Science,2026,156: 101545.
    [17]MA Q, FENG Z R, HOU J, et al. Artificial intelligence with metasurfaces: from intelligent design to intelligent computing[J].PhotoniX,2026,7(1): 23.
    [18]ZHANG H, KANG L, CAMPBELL S D, et al. Data driven approaches in nanophotonics: a review of AI-enabled metadevices[J].Nanoscale,2025,17(41): 23788-23803.
    [19]DORDUNCU M, REN H, ZHUANG X, et al. A review of peridynamic theory and nonlocal operators along with their computer implementations[J].Computers & Structures,2024,299: 107395.
    [20]KALUKULA Y, CICCONE G, MOHAMMED D, et al. Unlocking the therapeutic potential of cellular mechanobiology[J].Science Advances,2025,11(44): eaea6817.
    [21]LIU Z, CHEN G, JO M S, et al. Mechanomedicine[J].Nature Reviews Bioengineering,2026,4(3): 216-235.
    [22]孙学超, 刘少宝, 林敏, 等. 生物热-力-电生理耦合学[J]. 应用数学和力学, 2024,45(6): 651-669. (SUN Xuechao, LIU Shaobao, LIN Min, et al. The bio-thermo-mechano-electrophysiology[J].Applied Mathematics and Mechanics,2024,45(6): 651-669. (in Chinese))
    [23]LIU Y, WANG H, HAO J, et al. Key materials for extreme high-temperature environments: ultra-high-temperature ceramics and their composites[J].Extreme Materials,2025,1(1): 38-66.
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出版历程
  • 收稿日期:  2026-05-13
  • 修回日期:  2026-05-14
  • 网络出版日期:  2026-06-04
  • 刊出日期:  2026-05-01

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