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    A Data-Driven Model to Predict Constitutive and Failure Behavior of Elastomers Considering the Strain Rate, Temperature, and Filler Ratio 

    Source: Journal of Applied Mechanics:;2023:;volume( 090 ):;issue: 005:;page 51010-1
    Author(s): Ghaderi, Aref; Dargazany, Roozbeh
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This new machine-learned (ML) constitutive model for elastomers has been developed to capture the dependence of elastomer behavior on loading conditions such as strain rate and temperature, as well as compound morphology ...
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