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    Interannual Wind Speed Variations and Estimated Wind Turbine Generator Energy Output at Selected Sites in the Pacific Northwest 

    Source: Journal of Solar Energy Engineering:;1985:;volume( 107 ):;issue: 003:;page 237
    Author(s): R. W. Baker
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The hourly wind speed data collected over a six-year period at four wind power measurement locations are used to estimate the annual energy output of a large wind turbine generator. The ...
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    Conditional Mean Spectrum: Tool for Ground-Motion Selection 

    Source: Journal of Structural Engineering:;2011:;Volume ( 137 ):;issue: 003
    Author(s): Jack W. Baker
    Publisher: American Society of Civil Engineers
    Abstract: A common goal of dynamic structural analysis is to predict the response of a structure subjected to ground motions having a specified spectral acceleration at a given period. This is important, for example, when coupling ...
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    Probabilistic Regional Liquefaction Hazard and Risk Analysis: A Case Study of Residential Buildings in Alameda, California 

    Source: Natural Hazards Review:;2024:;Volume ( 025 ):;issue: 004:;page 04024039-1
    Author(s): Emily Mongold; Jack W. Baker
    Publisher: American Society of Civil Engineers
    Abstract: The impact of liquefaction on a regional scale is not well understood or modeled with traditional approaches. This paper presents a method to quantitatively assess liquefaction hazard and risk on a regional scale, accounting ...
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    Minimum-Weight Analysis of Anisotropic Plane-Fin Heat-Pipe Space Radiators 

    Source: Journal of Solar Energy Engineering:;1993:;volume( 115 ):;issue: 001:;page 37
    Author(s): Kurt O. Lund; Karl W. Baker
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Equations are formulated for the two-dimensional, anisotropic conduction of heat in space radiator fins. The transverse temperature field is obtained by the integral method, and the axial field ...
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    Liquefaction Risk Assessment Using Geostatistics to account for Soil Spatial Variability 

    Source: Journal of Geotechnical and Geoenvironmental Engineering:;2008:;Volume ( 134 ):;issue: 001
    Author(s): Jack W. Baker; Michael H. Faber
    Publisher: American Society of Civil Engineers
    Abstract: Liquefaction triggering assessments are often performed for individual locations, providing little information in regard to the expected spatial extent of liquefaction events. The present paper proposes a method to quantify ...
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    Deep Learning–Based Retrofitting and Seismic Risk Assessment of Road Networks 

    Source: Journal of Computing in Civil Engineering:;2021:;Volume ( 036 ):;issue: 002:;page 04021038
    Author(s): Rodrigo Silva-Lopez; Jack W. Baker; Alan Poulos
    Publisher: ASCE
    Abstract: Seismic risk assessment of road systems involves computationally expensive traffic simulations to evaluate the performance of the system. To accelerate this process, this paper develops a neural network surrogate model ...
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    Evaluation of Conditional Mean Spectra Code Criteria for Ground Motion Selection 

    Source: Journal of Structural Engineering:;2022:;Volume ( 148 ):;issue: 011:;page 04022177
    Author(s): Tamika J. Bassman; Kuanshi Zhong; Jack W. Baker
    Publisher: ASCE
    Abstract: The choice of spectral targets for ground motion selection has a strong impact on structural demands resulting from nonlinear time history analysis. In particular, the conditional mean spectrum (CMS) has been recognized ...
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    Integrating Place Attachment into Housing Recovery Simulations to Estimate Population Losses 

    Source: Natural Hazards Review:;2022:;Volume ( 023 ):;issue: 004:;page 04022021
    Author(s): Rodrigo Costa; Chenbo Wang; Jack W. Baker
    Publisher: ASCE
    Abstract: Following a disaster, residents of a community may be displaced from their damaged homes, leading to expensive and lengthy disruption, with many choosing to move away permanently. Population losses may hinder recovery and ...
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    Optimal Bridge Retrofitting Selection for Seismic Risk Management Using Genetic Algorithms and Neural Network–Based Surrogate Models 

    Source: Journal of Infrastructure Systems:;2023:;Volume ( 029 ):;issue: 004:;page 04023030-1
    Author(s): Rodrigo Silva-Lopez; Jack W. Baker
    Publisher: ASCE
    Abstract: This study used genetic algorithms as part of an optimization framework to directly minimize the expected impacts of road network disruption triggered by seismic events. This minimization is achieved by selecting an optimal ...
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    Uncovering Drivers of Atmospheric River Flood Damage Using Interpretable Machine Learning 

    Source: Natural Hazards Review:;2024:;Volume ( 025 ):;issue: 003:;page 04024022-1
    Author(s): Corinne Bowers; Katherine A. Serafin; Jack W. Baker
    Publisher: American Society of Civil Engineers
    Abstract: The intensity of an atmospheric river (AR) is only one of the factors influencing the damage it will cause. We use random forest models fit to hazard, exposure, and vulnerability data at different spatial and temporal ...
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