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    Newmark-Beta Method in Discrete Elastic Rods Algorithm to Avoid Energy Dissipation 

    Source: Journal of Applied Mechanics:;2019:;volume( 086 ):;issue: 008:;page 84501
    Author(s): Huang, Weicheng; Jawed, Mohammad Khalid
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: Discrete elastic rods (DER) algorithm presents a computationally efficient means of simulating the geometrically nonlinear dynamics of elastic rods. However, it can suffer from artificial energy loss during the time ...
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    Controlling Surface of Rods With Entrained Particle as Asperities 

    Source: Journal of Micro and Nano-Manufacturing:;2024:;volume( 011 ):;issue: 001:;page 11006-1
    Author(s): Khalil, Md Ibrahim; Islam, Md. Akibul; Tong, Dezhong; Jawed, Mohammad Khalid; Khoda, Bashir
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Changing the surface properties (i.e., roughness or friction) can be instrumental for many applications but can be a complex and resource-intensive process. In this paper, we demonstrate a novel process of controlling the ...
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    InerSens: A Block-Based Programming Platform for Learning Sensor Data Analytics in Construction Engineering Programs 

    Source: Journal of Architectural Engineering:;2024:;Volume ( 030 ):;issue: 003:;page 04024023-1
    Author(s): Mohammad Khalid; Abiola Akanmu; Adedeji Afolabi; Homero Murzi; Ibukun Awolusi; Philip Agee
    Publisher: American Society of Civil Engineers
    Abstract: Construction firms face challenges in sourcing qualified candidates for enhancing project outcomes through sensor data analytics. There are limited tools for teaching students from construction-related disciplines how to ...
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    Industry Perception of the Knowledge and Skills Required to Implement Sensor Data Analytics in Construction 

    Source: Journal of Civil Engineering Education:;2024:;Volume ( 150 ):;issue: 001:;page 04023010-1
    Author(s): Mohammad Khalid; Abiola Akanmu; Homero Murzi; Sang Won Lee; Ibukun Awolusi; Daniel Manesh; Chinedu Okonkwo
    Publisher: ASCE
    Abstract: Construction, one of the largest industries in the world, consistently underperforms and faces barriers in leveraging the full potential of applying analytics to sensor data due to a lack of a skilled workforce. The prospects ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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