基于數(shù)據(jù)分解重構(gòu)和AM-CRU-MLR模型的基坑變形研究與應(yīng)用

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WANG Andong， ZHANG Xuegang， NING Bo（Shaanxi Railway Institute，Weinan 7140OO， China）

Abstract：Inorder toefectivelygraspthedeformationcharacteristicsoffoundationpits，basedonthedisplacementand deformation monitoringresultsoffoundationpits，and basedontheanalysisofthecurentdeformationcharacteristicsof foundationpits，the integratedempiricalmodeandsampleentropyareusedtodecomposeandreconstructthedeformationdata， accuratelydecomposingitintoreal deformation termsanduncertaindeformation terms.Furthermore，CRUneural networkand multiplelinearregresionareusedtopreprocessdiferentdeformationterms，achievinghigh-precisionpredictionoffoundation pitdeformation，andusingtheresults tograspthedeformationcharacteristicsoffoundationpits.Theresultsshowsthatthrough datadecompositionandreconstructionprocesing，thedeformationdataoffoundationpitscanbeefectivelydecomposed，andits superiorityisobvious compared totraditional decomposition methods；TheAM-CRU-MLR model showedrelativelybeter predictionacuracy，fullyverifying theefectivenessoftepredictionappoachandproviding theoreticalsupportfortheanalysis of deformation characteristics of foundation pits.

Keywords：foundation pit；deformationdata；decompositiontreatment；deformationprediction；deformationcharacteristics

0 引言

隨著市政工程的快速發(fā)展，基坑工程數(shù)量日益增加，在帶來巨大經(jīng)濟(jì)效益的同時(shí)，也引發(fā)了一定的工程問題，如基坑多處于建、構(gòu)筑物密集區(qū)，基坑失穩(wěn)會引發(fā)一系列連續(xù)破壞；為確?；影踩┕ぃ冃慰刂骑@得格外重要。（剩余6868字）