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    High-Dimensional Uncertainty Quantification in a Hybrid Data + Model-Based Submodeling Method for Refined Response Estimation at Critical Locations 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2021:;Volume ( 007 ):;issue: 003:;page 04021022-1
    Author(s): Bhavana Valeti; Shamim N. Pakzad
    Publisher: ASCE
    Abstract: This study presents frameworks to build nonintrusive polynomial chaos expansion (PCE) models with regression and Smolyak sparse-grid quadrature to perform high-dimensional uncertainty propagation and uncertainty quantification ...
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    STRIDE for Structural Identification Using Expectation Maximization: Iterative Output-Only Method for Modal Identification 

    Source: Journal of Engineering Mechanics:;2016:;Volume ( 142 ):;issue: 004
    Author(s): Thomas J. Matarazzo; Shamim N. Pakzad
    Publisher: American Society of Civil Engineers
    Abstract: This paper introduces structural identification using expectation maximization (STRIDE), a novel application of the expectation maximization (EM) algorithm and approach for output-only modal identification. The EM algorithm ...
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    Structural Identification for Mobile Sensing with Missing Observations 

    Source: Journal of Engineering Mechanics:;2016:;Volume ( 142 ):;issue: 005
    Author(s): Thomas J. Matarazzo; Shamim N. Pakzad
    Publisher: American Society of Civil Engineers
    Abstract: There are many occasions in structural health monitoring (SHM) on which collected data sets contain missing observations. Such instances may occur as a result of failed communications or packet losses in a wireless sensor ...
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    Sensitivity Metrics for Maximum Likelihood System Identification 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2016:;Volume ( 002 ):;issue: 003
    Author(s): Thomas J. Matarazzo; Shamim N. Pakzad
    Publisher: American Society of Civil Engineers
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    Truncated Physical Model for Dynamic Sensor Networks with Applications in High-Resolution Mobile Sensing and BIGDATA 

    Source: Journal of Engineering Mechanics:;2016:;Volume ( 142 ):;issue: 005
    Author(s): Thomas J. Matarazzo; Shamim N. Pakzad
    Publisher: American Society of Civil Engineers
    Abstract: Historically, structural health monitoring (SHM) has relied on fixed sensors, which remain at specific locations in a structural system throughout data collection. This paper introduces state-space approaches for processing ...
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    Generalized Response Surface Model Updating Using Time Domain Data 

    Source: Journal of Structural Engineering:;2014:;Volume ( 140 ):;issue: 008
    Author(s): S. Golnaz Shahidi; Shamim N. Pakzad
    Publisher: American Society of Civil Engineers
    Abstract: In finite-element (FE) model updating using response surface (RS) models as surrogate, the procedure of finding an appropriate design to build the RS models requires a number of trial-and-error approaches with different ...
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    Erratum for “Generalized Response Surface Model Updating Using Time Domain Data” by S. Golnaz Shahidi and Shamim N. Pakzad 

    Source: Journal of Structural Engineering:;2014:;Volume ( 140 ):;issue: 009
    Author(s): S. Golnaz Shahidi; Shamim N. Pakzad
    Publisher: American Society of Civil Engineers
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    STRIDE for Structural Identification Using Expectation Maximization: Iterative Output-Only Method for Modal Identification 

    Source: Journal of Engineering Mechanics:;2016:;Volume ( 142 ):;issue: 004
    Author(s): Thomas J. Matarazzo; Shamim N. Pakzad
    Publisher: American Society of Civil Engineers
    Abstract: This paper introduces structural identification using expectation maximization (STRIDE), a novel application of the expectation maximization (EM) algorithm and approach for output-only modal identification. The EM algorithm ...
    Request PDF

    Truncated Physical Model for Dynamic Sensor Networks with Applications in High-Resolution Mobile Sensing and BIGDATA 

    Source: Journal of Engineering Mechanics:;2016:;Volume ( 142 ):;issue: 005
    Author(s): Thomas J. Matarazzo; Shamim N. Pakzad
    Publisher: American Society of Civil Engineers
    Abstract: Historically, structural health monitoring (SHM) has relied on fixed sensors, which remain at specific locations in a structural system throughout data collection. This paper introduces state-space approaches for processing ...
    Request PDF

    Structural Identification for Mobile Sensing with Missing Observations 

    Source: Journal of Engineering Mechanics:;2016:;Volume ( 142 ):;issue: 005
    Author(s): Thomas J. Matarazzo; Shamim N. Pakzad
    Publisher: American Society of Civil Engineers
    Abstract: There are many occasions in structural health monitoring (SHM) on which collected data sets contain missing observations. Such instances may occur as a result of failed communications or packet losses in a wireless sensor ...
    Request PDF
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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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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian