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    Improving Dam Deformation Analysis Using Least-Squares Variance Component Estimation and Tikhonov Regularization

    Source: Journal of Surveying Engineering:;2021:;Volume ( 147 ):;issue: 001::page 04020024
    Author:
    Saeed Farzaneh
    ,
    Abdolreza Safari
    ,
    Kamal Parvazi
    DOI: 10.1061/(ASCE)SU.1943-5428.0000339
    Publisher: ASCE
    Abstract: Several least-squares adjustment techniques were tested for dam deformation analysis. Deformation monitoring had only been studied horizontally. Simulated observations were first performed to compare the three methods of least-squares: observations with their initial weight, observations with the estimated variance component, and the regularization method. The best scenario was adopted for the real network. The results demonstrated that a more accurate outcome is possible by least-square variance component estimation (LS-VCE). Comparison of the estimated and simulated displacements in the LS-VCE method indicated that the difference for the two east–west and north–south components is 0.05 and 0.08 mm, while this difference in the other two modes is 1.02 and 0.67 mm for observations with their initial weight, and 0.64 and 0.16 mm for the Tikhonov regularization method, respectively. In the best method, an improvement was found in the standard deviation of the east–west, south–north components, the estimation of the major axis of the error ellipse, and the trace of the variance–covariance matrix of unknowns, in comparison with the other methods.
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      Improving Dam Deformation Analysis Using Least-Squares Variance Component Estimation and Tikhonov Regularization

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4269594
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    contributor authorSaeed Farzaneh
    contributor authorAbdolreza Safari
    contributor authorKamal Parvazi
    date accessioned2022-01-30T22:47:02Z
    date available2022-01-30T22:47:02Z
    date issued2/1/2021
    identifier other(ASCE)SU.1943-5428.0000339.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4269594
    description abstractSeveral least-squares adjustment techniques were tested for dam deformation analysis. Deformation monitoring had only been studied horizontally. Simulated observations were first performed to compare the three methods of least-squares: observations with their initial weight, observations with the estimated variance component, and the regularization method. The best scenario was adopted for the real network. The results demonstrated that a more accurate outcome is possible by least-square variance component estimation (LS-VCE). Comparison of the estimated and simulated displacements in the LS-VCE method indicated that the difference for the two east–west and north–south components is 0.05 and 0.08 mm, while this difference in the other two modes is 1.02 and 0.67 mm for observations with their initial weight, and 0.64 and 0.16 mm for the Tikhonov regularization method, respectively. In the best method, an improvement was found in the standard deviation of the east–west, south–north components, the estimation of the major axis of the error ellipse, and the trace of the variance–covariance matrix of unknowns, in comparison with the other methods.
    publisherASCE
    titleImproving Dam Deformation Analysis Using Least-Squares Variance Component Estimation and Tikhonov Regularization
    typeJournal Paper
    journal volume147
    journal issue1
    journal titleJournal of Surveying Engineering
    identifier doi10.1061/(ASCE)SU.1943-5428.0000339
    journal fristpage04020024
    journal lastpage04020024-9
    page9
    treeJournal of Surveying Engineering:;2021:;Volume ( 147 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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