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    Bond-Induced Longitudinal Fracture in Reinforced Concrete 

    Source: Journal of Applied Mechanics:;2000:;volume( 067 ):;issue: 004:;page 740
    Author(s): M. Ghandehari; S. Krishnaswamy; S. Shah
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Splitting of concrete caused by pullout of deformed rebars is investigated. The influence of specimen cross section size and geometry on the relationship between the components of stress and ...
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    Reliability Analysis of Premium Pavement Design Features 

    Source: Journal of Transportation Engineering, Part A: Systems:;1988:;Volume ( 114 ):;issue: 003
    Author(s): K. P. George; A. Alsherri; N. S. Shah
    Publisher: American Society of Civil Engineers
    Abstract: This study evaluates the special features of premium design guidelines—features not considered in the AASHO flexible and rigid pavement design procedures. The significance of these features—fifteen in all for four pavement ...
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    Equipment Cost Analysis for Waste Embankments 

    Source: Journal of Construction Engineering and Management:;1984:;Volume ( 110 ):;issue: 001
    Author(s): S. K. Saxena; David E. Lourie; N. S. Shah; K. Singhal
    Publisher: American Society of Civil Engineers
    Abstract: This paper presents the results of a study to determine the costefficient compaction method in relation to geotechnical properties for the compaction of coal waste embankments, utilizing different compaction methods, ...
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    Effects of Repair Weld Residual Stresses on Wide-Panel Specimens Loaded in Tension 

    Source: Journal of Pressure Vessel Technology:;1998:;volume( 120 ):;issue: 002:;page 122
    Author(s): P. Dong; P. Rogers; S. Shah; J. Bynum; J. K. Hong; J. Zhang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: As a part of the welding fabrication procedure development for the next generation space shuttle external tank, aluminum-lithium wide-panel specimens were used to assess the interactions between ...
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    Emulating Spatial and Temporal Outputs From Fuel Cell and Battery Models: A Comparison of Deep Learning and Gaussian Process Models 

    Source: Journal of Electrochemical Energy Conversion and Storage:;2022:;volume( 020 ):;issue: 001:;page 11007
    Author(s): Xing, W. W.;Dai, S.;Shah, A. A.;Luo, L.;Xu, Q.;Leung, P. K.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Neural network models have a long history in fuel cell and battery modeling. With the recent advent of deep learning, there is potential for further improvements in these models. Conversely, deep learning is primarily ...
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