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    Diagnostic of Injury Risk in the Anterior Cruciate Ligament Based on Shape Context Description of the Intercondylar Notch Curvature 

    Source: Journal of Engineering and Science in Medical Diagnostics and Therapy:;2022:;volume( 005 ):;issue: 002:;page 21001-1
    Author(s): Dias, João Paulo; Bhuiyan, Ariful; Shamim, Nabila
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: An estimated number of 300,000 new anterior cruciate ligament (ACL) injuries occur each year in the United States. Recent studies have pointed out a correlation between the curvature of the femur intercondylar notch and ...
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    Damage Classification of Composites Based on Analysis of Lamb Wave Signals Using Machine Learning 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2021:;volume( 007 ):;issue: 001:;page 011002-1
    Author(s): Dabetwar, Shweta; Ekwaro-Osire, Stephen; Dias, João Paulo
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Composite materials have a myriad of applications in complex engineering systems, and multiple structural health monitoring (SHM) strategies have been developed. However, these methods are challenging due to signal attenuation ...
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    Uncertainty Quantification for Fatigue Life of Offshore Wind Turbine Structure 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2021:;volume( 007 ):;issue: 004:;page 040901-1
    Author(s): Nispel, Abraham; Ekwaro-Osire, Stephen; Dias, João Paulo; Cunha, Americo, Jr.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This study aims to address the question: can the structural reliability of an offshore wind turbine (OWT) under fatigue loading conditions be predicted more consistently? To respond to that question this study addresses ...
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    Uncertainty Quantification With Sparsely Characterized Parameters: An Example Applied to Femoral Stem Mechanics 

    Source: Journal of Verification, Validation and Uncertainty Quantification:;2020:;volume( 005 ):;issue: 003:;page 031005-1
    Author(s): Wanki, Godlove; Ekwaro-Osire, Stephen; Dias, João Paulo; Cunha, Americo, Jr.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The advent of state-of-the-art additive manufacturing (AM) processes has facilitated the manufacturing of complex orthopedic metallic implants such as femoral stems with porous portions based on lattice structures. These ...
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    Uncertainty Quantification With Sparsely Characterized Parameters: An Example Applied to Femoral Stem Mechanics 

    Source: Journal of Verification, Validation and Uncertainty Quantification:;2020:;volume( 005 ):;issue: 003:;page 031005-1
    Author(s): Wanki, Godlove; Ekwaro-Osire, Stephen; Dias, João Paulo; Cunha, Americo, Jr.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The advent of state-of-the-art additive manufacturing (AM) processes has facilitated the manufacturing of complex orthopedic metallic implants such as femoral stems with porous portions based on lattice structures. These ...
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    Simulation-Driven Deep Learning Approach for Wear Diagnostics in Hydrodynamic Journal Bearings 

    Source: Journal of Tribology:;2020:;volume( 143 ):;issue: 008:;page 084501-1
    Author(s): Gecgel, Ozhan; Dias, João Paulo; Ekwaro-Osire, Stephen; Alves, Diogo Stuani; Machado, Tiago Henrique; Daniel, Gregory Bregion; de Castro, Helio Fiori; Cavalca, Katia Lucchesi
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Early diagnosis in rotating machinery has been a challenge when looking toward the concept of intelligent machines. A crucial and critical component in these systems is the lubricated journal bearing, subjected to wear ...
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    Verification and Validation of Rotating Machinery Using Digital Twin 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2024:;volume( 010 ):;issue: 001:;page 11104-1
    Author(s): Yanik, Yasar; Ekwaro-Osire, Stephen; Dias, João Paulo; Porto, Edgard Haenisch; Alves, Diogo Stuani; Machado, Tiago Henrique; Bregion Daniel, Gregory; de Castro, Helio Fiori; Cavalca, Katia Lucchesi
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Rotating machinery has extensive usage in industrial applications, either as leading equipment (power plants) or as auxiliary equipment (oil and gas exploitation). These highly complex systems demand expensive maintenance ...
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