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    Flow Maldistribution and Performance Deteriorations in Membrane-Based Heat and Mass Exchangers 

    Source: Journal of Heat Transfer:;2009:;volume( 131 ):;issue: 011:;page 111801
    Author(s): Li-Zhi Zhang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Heat mass exchangers are crucial for the prevention of epidemic respiratory diseases such as H1N1 (swine flu). The flow maldistribution affects their performance seriously. The flow maldistribution ...
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    An Analytical Solution to Heat and Mass Transfer in Hollow Fiber Membrane Contactors for Liquid Desiccant Air Dehumidification 

    Source: Journal of Heat Transfer:;2011:;volume( 133 ):;issue: 009:;page 92001
    Author(s): Li-Zhi Zhang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Hollow fiber membrane contactors are used in air dehumidification. The benefit of this technology is that the liquid desiccant is not in a direct contact with the process air; therefore, the ...
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    Detectability of Bridge-Structural Damage Based on Fiber-Optic Sensing through Deep-Convolutional Neural Networks 

    Source: Journal of Bridge Engineering:;2020:;Volume ( 025 ):;issue: 004
    Author(s): Sheng Li; Lizhi Sun
    Publisher: ASCE
    Abstract: Improving the accuracy and efficiency of damage detection of bridge structures is a major challenge in engineering practice. This paper aims to address this issue by monitoring the continuous bridge deflection based on the ...
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    Study on the Generalized Holo-Factors Mathematical Model of Dimension-Error and Shape-Error for Sheet Metal in Stamping Based on the Back Propagation (BP) Neural Network 

    Source: Journal of Manufacturing Science and Engineering:;2016:;volume( 138 ):;issue: 006:;page 64502
    Author(s): Gu, Lizhi; Zheng, Tianqing
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Precision improvement in sheet metal stamping has been the concern that the stamping researchers have engaged in. In order to improve the forming precision of sheet metal in stamping, this paper devoted to establish the ...
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    Development of a Machine Learning Model for Elastohydrodynamic Pressure Prediction in Journal Bearings1 

    Source: Journal of Tribology:;2022:;volume( 144 ):;issue: 008:;page 81603-1
    Author(s): Hess, Nathan; Shang, Lizhi
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a machine learning neural network capable of approximating pressure as the distributive result of elastohydrodynamic (EHD) effects for a journal bearing at steady state. Design of efficient, reliable ...
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    The Optimal Mode and an Approximate Expression of Final Displacement in Dynamic Plastic Response of Structures 

    Source: Journal of Applied Mechanics:;1992:;volume( 059 ):;issue: 001:;page 33
    Author(s): Zhu-ping Huang; Li-zhi Sun
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The paper is concerned with the dynamic response of impulsively loaded rigid-perfectly plastic structures. By combining the mode approximation technique with the upper and the lower bound theorems, ...
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    Hysteretic Modeling of Thin-Walled Circular Steel Columns under Biaxial Bending 

    Source: Journal of Structural Engineering:;2002:;Volume ( 128 ):;issue: 003
    Author(s): Lizhi Jiang; Yoshiaki Goto; Makoto Obata
    Publisher: American Society of Civil Engineers
    Abstract: To ensure the safety of elevated highway bridges under major earthquakes, it is important to predict the ultimate behavior of columns used as bridge piers. After the Kobe earthquake, many analytical and experimental studies ...
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    GNSS Elevation-Dependent Stochastic Modeling and Its Impacts on the Statistic Testing 

    Source: Journal of Surveying Engineering:;2016:;Volume ( 142 ):;issue: 002
    Author(s): Bofeng; Li; Lizhi; Lou; Yunzhong; Shen
    Publisher: American Society of Civil Engineers
    Abstract: Only the correct stochastic model can be applied to derive the optimal parameter estimation and then realize the precision global navigation satellite system (GNSS) positioning. The key for refining the GNSS stochastic ...
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    GNSS Elevation-Dependent Stochastic Modeling and Its Impacts on the Statistic Testing 

    Source: Journal of Surveying Engineering:;2016:;Volume ( 142 ):;issue: 002
    Author(s): Bofeng Li; Lizhi Lou; Yunzhong Shen
    Publisher: American Society of Civil Engineers
    Abstract: Only the correct stochastic model can be applied to derive the optimal parameter estimation and then realize the precision global navigation satellite system (GNSS) positioning. The key for refining the GNSS stochastic ...
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    Noniterative Datum Transformation Revisited with Two-Dimensional Affine Model as a Case Study 

    Source: Journal of Surveying Engineering:;2013:;Volume ( 139 ):;issue: 004
    Author(s): Bofeng; Li; Yunzhong; Shen; Lizhi; Lou
    Publisher: American Society of Civil Engineers
    Abstract: In geospatial applications, the datum transformation has been necessarily employed to transform the geospatial outcomes from the data-collection system to the user-interested system. Its key is to compute the transformation ...
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