一種基于TwIST稀疏正則化的沖擊載荷識(shí)別方法
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中圖分類號(hào)：0347.1 文獻(xiàn)標(biāo)志碼：A 文章編號(hào)：1671-5276（2025）03-0126-06
AMethod forImpactLoadIdentificationBasedon TwIST Sparse Regularization
YUAN Zhefeng，MIAO Bingrong， ZHANG Ying，JIN Yuehao，YIN Zhaoke，HU Tianqi （State Key Laboratory of Rail Transit Vehicle System，Southwest Jiaotong University，Chengdu 61OO31，China） Abstract：Inviewofthelowacuracyinimpactload identification，anewmethod forimpactloadrecognition basedonsparse regularizationmethodand Two-step Iterative Shrinkage Thresholding（TwIST）algorithmisproposed.Thesparseregularization methodisusedtoconstructtheimpactloadidentificationmodelandtheimpactloadissolvediterativelybytheTwISTalgorithm. Theproposedmethod isvalidated through impactload identification experimentsonaluminumalloybeams.Theresultsshowthat the TwISTsparseregularizationmethodcanaccuratelyidentifyimpactloadsinboth single-sourceandmulti-sourceimpactload conditions，and the proposed method，comaredwith the traditional Tikhonovregularization metod，exhibits beteraccuracy， stability，and noise resistance inload identification.
Keywords：impact load identification；sparse regularization；TwIST；inverse problem
0 引言
近年來，智能運(yùn)維、結(jié)構(gòu)健康監(jiān)測等新技術(shù)已經(jīng)在航空、公路、鐵路等領(lǐng)域得到廣泛應(yīng)用[]。（剩余8455字）