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    Vertical Mixing in the Fully Developed Turbulent Layer of Sediment-Laden Open-Channel Flow 

    Source: Journal of Hydraulic Engineering:;2008:;Volume ( 134 ):;issue: 009
    Author(s): Erik A. Toorman
    Publisher: American Society of Civil Engineers
    Abstract: Eulerian equations for the vertical flux and momentum of suspended particles in dilute sediment-laden open-channel flow in equilibrium have been derived using the two-fluid approach. Reynolds averaging has been applied in ...
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    Closure to “Vertical Mixing in the Fully Developed Turbulent Layer of Sediment-Laden Open-Channel Flow” by Erik A. Toorman 

    Source: Journal of Hydraulic Engineering:;2011:;Volume ( 137 ):;issue: 009
    Author(s): Erik A. Toorman
    Publisher: American Society of Civil Engineers
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    Errata and Addendum for “Vertical Mixing in the Fully Developed Turbulent Layer of Sediment-Laden Open-Channel Flow” by E. A. Toorman 

    Source: Journal of Hydraulic Engineering:;2009:;Volume ( 135 ):;issue: 006
    Author(s): Erik A. Toorman
    Publisher: American Society of Civil Engineers
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    Discussion: Assessment of Hindered Settling of Fluid Mudlike Suspensions 

    Source: Journal of Hydraulic Engineering:;1999:;Volume ( 125 ):;issue: 007
    Author(s): Erik A. Toorman
    Publisher: American Society of Civil Engineers
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    Review of <i>An Introduction to Hydraulics of Fine Sediment Transport</i> by Ashish J. Mehta 

    Source: Journal of Waterway, Port, Coastal, and Ocean Engineering:;2014:;Volume ( 140 ):;issue: 004
    Author(s): Erik A.; Toorman
    Publisher: American Society of Civil Engineers
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    Model Falsification from a Bayesian Viewpoint with Applications to Parameter Inference and Model Selection of Dynamical Systems 

    Source: Journal of Engineering Mechanics:;2024:;Volume ( 150 ):;issue: 006:;page 04024023-1
    Author(s): Agnimitra Dasgupta; Erik A. Johnson
    Publisher: ASCE
    Abstract: This work provides a Bayesian reinterpretation of model falsification. We show that model falsification can be viewed as an approximate Bayesian computation (ABC) approach when hypotheses (models) are sampled from a prior. ...
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    Substructure Identification for Shear Structures with Nonstationary Structural Responses 

    Source: Journal of Engineering Mechanics:;2013:;Volume ( 139 ):;issue: 012
    Author(s): Dongyu; Zhang; Erik A.; Johnson
    Publisher: American Society of Civil Engineers
    Abstract: In previous studies by the authors, a substructure identification method for shear structures was proposed to identify all structural story stiffness and damping parameters from top to bottom inductively. In the method ...
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    Improving Substructure Identification Using Structural Control with Limited Sensor Measurements 

    Source: Journal of Computing in Civil Engineering:;2015:;Volume ( 029 ):;issue: 004
    Author(s): Charles DeVore; Erik A. Johnson
    Publisher: American Society of Civil Engineers
    Abstract: Substructure identification is a structural health monitoring technique that identifies a reduced-order model of structural behavior using local vibration measurements. The authors’ prior research on this inherently ...
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    Efficient Sensitivity Analysis of Structures with Local Modifications. I: Time Domain Responses 

    Source: Journal of Engineering Mechanics:;2014:;Volume ( 140 ):;issue: 009
    Author(s): Steven F.; Wojtkiewicz; Erik A.; Johnson
    Publisher: American Society of Civil Engineers
    Abstract: The time evolution of the parameter sensitivity of a nonlinear dynamical system is essential to its successful design, control, and identification. For an important class of systems, the governing equations of motion can ...
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    Efficient Sensitivity Analysis of Structures with Local Modifications. II: Transfer Functions and Spectral Densities 

    Source: Journal of Engineering Mechanics:;2014:;Volume ( 140 ):;issue: 009
    Author(s): Erik A.; Johnson; Steven F.; Wojtkiewicz
    Publisher: American Society of Civil Engineers
    Abstract: The deterministic frequency response analysis and the stationary random vibration of large, linear structural models are often computationally intensive tasks. The computational expense is only exacerbated when stiffness ...
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