融合显式Newmark- ⋅β 法与迭代正则化的动载荷识别

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关键词：动载荷识别；显式Newmark ⋅β 法；模态空间；混合LSQR修正算法；连续系统 中图分类号：TB123；O32 文献标志码：A DOI：10.16385/j.cnki.issn.1004-4523.202508006

Dynamic load identification using the explicit Newmark- β method combined with iterative regularization

LIHongqiu'，JIANG Jinhui²，CHENGuoping² （1.SchoolofMechanialandElectricalEngieing，JinlingstteofhnologyNanjig69，Cina；StateKeyLbatof Mechanics andControlforAerospace Structures，NanjingUniversityofAeronauticsandAstronautics，Nanjing210ol6，China）

Abstract：Thisstudpresetsatime-dmainidentificationmetodfodyaicadsincotiuoussystems，overcomingtheliiatiofte conventionalNewmark ⋅β method that is restricted to discrete systems.The proposed approach employs an explicit Newmark ⋅β formulation and introducesahybdSQRgulazatiooetiohuetdesteintllpedsinamicdienifatioovel methodcopoatestedeaoiogulazatioittsadadQRalgtousuecalosilliosrigteoui proces.It introduces adynamiccoretion mechanism basedonresponseresiduals，whichadjusts theload estimationbycomparingthe residualsbetweenthecomputedresponseandthemeasuredresponseByefectivelycombiningthestabilityadvantagesofTikhonov regularzationidaabilteatirsetdigiicantlpovtlodsprosoflo identification.umeicalsiulatiosoftypicalcases，withdiferetnoiselevelsandvriousadonios，vaiateteobustsad identificationauacyofteproposdetodExperitalsultsfrodloadidentificationemostrateattepropoedbd LSQR regularization correction method possesses strong noise resistance and excellent identification accuracy.

Keywords：dynamicload identification;explicitNewmark ⋅β method; modal space;hybridLsQR modified algorithm; continuous system

动载荷识别是结构健康监测与动力学反问题研究中的关键环节，已知系统特性，通过输出响应反求输人激励[1]。（剩余14534字）