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    Generation of Large Directional Wind Speed Data Sets for Estimation of Wind Effects with Long Return Periods 

    Source: Journal of Structural Engineering:;2014:;Volume ( 140 ):;issue: 010
    Author(s): DongHun Yeo
    Publisher: American Society of Civil Engineers
    Abstract: For structures sensitive to wind directionality, methods for the estimation of wind effects require the use of time series of directional wind speeds that cover time periods exceeding the length of the mean recurrence ...
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    Large Eddy Simulations of Model-Scale Turbulent Atmospheric Boundary Layer Flows 

    Source: Journal of Engineering Mechanics:;2017:;Volume ( 143 ):;issue: 009
    Author(s): Liang Shi; DongHun Yeo
    Publisher: American Society of Civil Engineers
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    High-Rise Reinforced Concrete Structures: Database-Assisted Design for Wind 

    Source: Journal of Structural Engineering:;2011:;Volume ( 137 ):;issue: 011
    Author(s): DongHun Yeo; Emil Simiu
    Publisher: American Society of Civil Engineers
    Abstract: Advances in wind pressure measurement and computer technology have made time-domain analyses of wind effects on high-rise structures possible in recent years. Time-domain solutions use aerodynamic and wind climatological ...
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    Closure to “Sustainable Design of Reinforced Concrete Structures through CO2 Emission Optimization” by DongHun Yeo and Florian A. Potra 

    Source: Journal of Structural Engineering:;2015:;Volume ( 141 ):;issue: 004
    Author(s): DongHun Yeo; Florian A. Potra
    Publisher: American Society of Civil Engineers
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    Sustainable Design of Reinforced Concrete Structures through CO2 Emission Optimization 

    Source: Journal of Structural Engineering:;2015:;Volume ( 141 ):;issue: 003
    Author(s): DongHun Yeo; Florian A. Potra
    Publisher: American Society of Civil Engineers
    Abstract: Efforts are being made to achieve more efficient operation of buildings, with the goal of reducing the construction industry’s contribution to energy consumption and greenhouse gas emissions. That contribution also includes ...
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    Estimation of Hurricane Wind Speed Probabilities: Application to New York City and Other Coastal Locations 

    Source: Journal of Structural Engineering:;2014:;Volume ( 140 ):;issue: 006
    Author(s): DongHun Yeo; Ning Lin; Emil Simiu
    Publisher: American Society of Civil Engineers
    Abstract: A procedure is presented for estimating parametric probabilistic models of hurricane wind speeds from existing information on state-of-the-art estimates of wind speeds with various mean recurrence intervals (MRIs). Such ...
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    Wind Load Factors for Use in the Wind Tunnel Procedure 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2017:;Volume ( 003 ):;issue: 004
    Author(s): Emil Simiu; Adam L. Pintar; Dat Duthinh; DongHun Yeo
    Publisher: American Society of Civil Engineers
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    Closure to “Wind Directionality Factors for Nonhurricane and Hurricane-Prone Regions” by Filmon Habte, Arindam Gan Chowdhury, DongHun Yeo, and Emil Simiu 

    Source: Journal of Structural Engineering:;2016:;Volume ( 142 ):;issue: 002
    Author(s): Filmon Habte; Arindam Gan Chowdhury; DongHun Yeo; Emil Simiu
    Publisher: American Society of Civil Engineers
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    Planetary Boundary Layer Modeling and Standard Provisions for Supertall Building Design 

    Source: Journal of Structural Engineering:;2017:;Volume ( 143 ):;issue: 008
    Author(s): Emil Simiu; N. Alan Heckert; DongHun Yeo
    Publisher: American Society of Civil Engineers
    Abstract: According to recent results of planetary boundary layer research relevant to the design of tall buildings subjected to large-scale synoptic storm winds, for elevations of up to at least 1 km, the longitudinal mean ...
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    Wind Directionality Factors for Nonhurricane and Hurricane-Prone Regions 

    Source: Journal of Structural Engineering:;2015:;Volume ( 141 ):;issue: 008
    Author(s): Filmon Habte; Arindam Gan Chowdhury; DongHun Yeo; Emil Simiu
    Publisher: American Society of Civil Engineers
    Abstract: The wind directionality factor,
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