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    An EnergySaving Snake Locomotion Pattern Learned in a Physically Constrained Environment With Online ModelBased Policy Gradient Method 

    Source: Journal of Mechanisms and Robotics:;2022:;volume( 015 ):;issue: 004:;page 41007
    Author(s): Liu, Yilang;Barati Farimani, Amir
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Snake robots, composed of sequentially connected joint actuators, have recently gained increasing attention in the industrial field, like life detection in narrow space. Such robots can navigate the complex environment via ...
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    An Energy-Saving Snake Locomotion Pattern Learned in a Physically Constrained Environment With Online Model-Based Policy Gradient Method 

    Source: Journal of Mechanisms and Robotics:;2022:;volume( 015 ):;issue: 004:;page 41007-1
    Author(s): Liu, Yilang; Barati Farimani, Amir
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Snake robots, composed of sequentially connected joint actuators, have recently gained increasing attention in the industrial field, like life detection in narrow space. Such robots can navigate the complex environment via ...
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    Effect of Concrete Slab on Shear Capacity of Composite Plate Girders under Positive Moment 

    Source: Journal of Bridge Engineering:;2013:;Volume ( 018 ):;issue: 002
    Author(s): Ardalan; Sherafati; Reza; Farimani; Atorod; Azizinamini
    Publisher: American Society of Civil Engineers
    Abstract: To evaluate the contribution of the concrete slab to the shear resistance of composite concrete-steel plate girders, two tests were carried out on one full-scale composite plate girder. The tested specimen was loaded to ...
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    Shear Capacity of Hybrid Plate Girders 

    Source: Journal of Bridge Engineering:;2007:;Volume ( 012 ):;issue: 005
    Author(s): Atorod Azizinamini; J. Brian Hash; Aaron J. Yakel; Reza Farimani
    Publisher: American Society of Civil Engineers
    Abstract: The
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    Novel Approach to Satisfying Stakeholders in Megaprojects: Balancing Mutual Values 

    Source: Journal of Management in Engineering:;2020:;Volume ( 036 ):;issue: 002
    Author(s): Amir Bahadorestani; Jan Terje Karlsen; Nasser Motahari Farimani
    Publisher: ASCE
    Abstract: Stakeholder satisfaction in megaprojects has always been a critical concern in research and practice because of the dynamism, complexity, and uncertainty of the various relationships between the project and the stakeholder ...
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    A Comprehensive Stakeholder-Typology Model Based on Salience Attributes in Construction Projects 

    Source: Journal of Construction Engineering and Management:;2019:;Volume ( 145 ):;issue: 009
    Author(s): Amir Bahadorestani; Jan Terje Karlsen; Nasser Motahari Farimani
    Publisher: American Society of Civil Engineers
    Abstract: This article presents a comprehensive project stakeholder typology model (PSTM) based on stakeholder salience attributes (SSAs). Stakeholders are considered as one of the major pillars of construction projects and management ...
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    Three-Dimensional Ship Hull Encoding and Optimization via Deep Neural Networks 

    Source: Journal of Mechanical Design:;2022:;volume( 144 ):;issue: 010:;page 101701
    Author(s): Wang, Yuyang;Joseph, Joe;Aniruddhan Unni, T. P.;Yamakawa, Soji;Barati Farimani, Amir;Shimada, Kenji
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Design and optimization of hull shapes for optimal hydrodynamic performance have been a major challenge for naval architectures. Deep learning bears the promise of comprehensive geometric representation and new design ...
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    StressGAN: A Generative Deep Learning Model for Two-Dimensional Stress Distribution Prediction 

    Source: Journal of Applied Mechanics:;2021:;volume( 088 ):;issue: 005:;page 051005-1
    Author(s): Jiang, Haoliang; Nie, Zhenguo; Yeo, Roselyn; Farimani, Amir Barati; Kara, Levent Burak
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Using deep learning to analyze mechanical stress distributions is gaining interest with the demand for fast stress analysis. Deep learning approaches have achieved excellent outcomes when utilized to speed up stress ...
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    DSpace software copyright © 2002-2015  DuraSpace
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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
    yabeshDSpacePersian