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    Extended GLOSS Method for Determining Inelastic Effects in Mechanical Components and Structures: Isotropic Materials 

    Source: Journal of Pressure Vessel Technology:;2000:;volume( 122 ):;issue: 004:;page 413
    Author(s): R. Seshadri; S. Babu
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The extended GLOSS method of analysis has been presented here that leads to conservative bounds on inelastic local strains. Consequently, the local region constraint parameter (λ̄) is determined ...
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    A Robust Method for Inelastic Analysis of Components Made of Anisotropic Material 

    Source: Journal of Pressure Vessel Technology:;1999:;volume( 121 ):;issue: 002:;page 154
    Author(s): S. Babu; P. K. Iyer
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A new robust method, called MARS (modulus adjustment and redistribution of stress), based on linear elastic finite element analyses has been proposed to evaluate inelastic strains in anisotropic ...
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    Inelastic Analysis of Components Using a Modulus Adjustment Scheme 

    Source: Journal of Pressure Vessel Technology:;1998:;volume( 120 ):;issue: 001:;page 1
    Author(s): S. Babu; P. K. Iyer
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Mechanical components and structures loaded into inelastic region can fail by low cycle fatigue (LCF). Evaluation of inelastic strain is an important stage in the LCF life prediction methodology. ...
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    Optimizing Ultrasonic Additive Manufactured Al 3003 Properties With Statistical Modeling 

    Source: Journal of Engineering Materials and Technology:;2012:;volume( 134 ):;issue: 001:;page 11004
    Author(s): C. D. Hopkins; P. J. Wolcott; M. J. Dapino; A. G. Truog; S. S. Babu; S. A. Fernandez
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Ultrasonic additive manufacturing (UAM) has proven useful in the solid-state, low tempe’rature fabrication of layered solid metal structures. It is necessary to optimize the various process variables ...
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