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    A Comparative Study of Machine Learning and Algorithmic Approaches to Automatically Identify the Yield Point in Normal and Aneurysmal Human Aortic Tissues 

    Source: Journal of Biomechanical Engineering:;2024:;volume( 146 ):;issue: 004:;page 44503-1
    Author(s): Chung, Timothy K.; Kim, Joseph; Gueldner, Pete H.; Vorp, David A.; Raghavan, M. L.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The stress–strain curve of biological soft tissues helps characterize their mechanical behavior. The yield point on this curve is when a specimen breaches its elastic range due to irreversible microstructural damage. The ...
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    Investigation of the Observed Rupture Lines in Abdominal Aortic Aneurysms Using Crack Propagation Simulations 

    Source: Journal of Biomechanical Engineering:;2019:;volume( 141 ):;issue: 007:;page 71004
    Author(s): Attarian, S.; Xiao, S.; Chung, T. C.; da Silva, E. S.; Raghavan, M. L.
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: The objective of the study is to use crack propagation simulation to study the rupture site characteristics in ruptured abdominal aortic aneurysms (AAA). In a study population of four ruptured AAA harvested whole from ...
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