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    System Identification via Unscented Kalman Filtering and Model Class Selection 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2024:;Volume ( 010 ):;issue: 001:;page 04023063-1
    Author(s): Luca Rosafalco; Saeed Eftekhar Azam; Stefano Mariani; Alberto Corigliano
    Publisher: ASCE
    Abstract: Identifying the mechanical properties of civil structures is required for life-cycle assessment. Kalman filters are exploited for this goal, enabling the online update of a numerical model, acting as the digital twin of ...
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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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