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    Adaptive Product, Process and Tooling Design Strategy for Optimal Dimensional Quality of Automotive Body Assemblies 

    Source: Journal of Manufacturing Science and Engineering:;2003:;volume( 125 ):;issue: 004:;page 835
    Author(s): Bai Zhang; Jun Ni
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Research investigations have shown that the dimensional quality is deeply rooted in the whole process of the product development, from product, process and tooling design, the tooling manufacturing ...
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    Mechanical Properties of Glass FRP Bars with Aluminum Alloy Ribs Anchorage 

    Source: Journal of Composites for Construction:;2024:;Volume ( 028 ):;issue: 003:;page 04024015-1
    Author(s): Qiang Wang; Yufen Zhang; Wenhua Chen; Bai Zhang
    Publisher: American Society of Civil Engineers
    Abstract: An experimental campaign was undertaken to characterize the mechanical properties of newly proposed aluminum alloy ribs (ARs)-anchored glass fiber–reinforced polymer (GFRP) bars via tensile, short beam shear and pullout ...
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    Enhancement of Bond Performance of FRP Bars with Seawater Coral Aggregate Concrete by Utilizing Ecoefficient Slag-Based Alkali-Activated Materials 

    Source: Journal of Composites for Construction:;2022:;Volume ( 026 ):;issue: 001:;page 04021059
    Author(s): Bai Zhang; Hong Zhu; Zhiqiang Dong; Qiang Wang
    Publisher: ASCE
    Abstract: To effectively utilize marine resources on reefs or islands and to improve the bearing capacity and serviceability of fiber-reinforced polymer (FRP) reinforced seawater coral aggregate concrete (CAC) structures in marine ...
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    Investigating the Impact of System Parameters on Flow-Induced Vibration Hard Galloping Based on Deep Neural Network 

    Source: Journal of Offshore Mechanics and Arctic Engineering:;2024:;volume( 147 ):;issue: 004:;page 41901-1
    Author(s): Zhang, Dahai; Li, Weijie; Zhang, Shuai; Bai, Zhang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this article, a classification model is established for the flow-induced vibration response based on the numerical and experimental data, using a deep neural network-based machine learning approach. The model effectively ...
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