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    Dynamic Analysis of a Complex Pneumatic Valve Using Pseudobond Graph Modeling Technique 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2013:;volume( 135 ):;issue: 003:;page 34502
    Author(s): Zanj, Amir; Hossein Afshari, Hamed
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this work, the dynamic behaviors of a complex pneumatic reducer valve have been studied through the pseudobond graph modeling technique. This modeling approach graphically describes the energy and mass flows among ...
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    Siphon Break Phenomena Associated With Pipe Leakage Location 

    Source: Journal of Fluids Engineering:;2022:;volume( 144 ):;issue: 011:;page 111202-1
    Author(s): Zanje; Sumit R.;Bian; Linlong;Verma; Vivek;Yin; Zeda;Leon; Arturo S.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This work investigates the siphon break phenomenon associated with pipe leakage location. The present study is divided into two parts: (1) an unsteady three-dimensional (3D) computational fluid dynamics (CFD) model is ...
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    Physics-Informed Neural Network Approach for Solving the One-Dimensional Unsteady Shallow-Water Equations in Riverine Systems 

    Source: Journal of Hydraulic Engineering:;2025:;Volume ( 151 ):;issue: 001:;page 04024060-1
    Author(s): Zeda Yin; Jimeng Shi; Linlong Bian; William H. Campbell; Sumit R. Zanje; Beichao Hu; Arturo S. Leon
    Publisher: American Society of Civil Engineers
    Abstract: In recent years, many researchers have used machine learning approaches to bridge the relationship between big data and physics in the practical engineering field. However, the widely used machine learning models are highly ...
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    Physics-Informed Neural Network Approach for Solving the One-Dimensional Unsteady Shallow-Water Equations in Riverine Systems 

    Source: Journal of Hydraulic Engineering:;2025:;Volume ( 151 ):;issue: 001:;page 04024060-1
    Author(s): Zeda Yin; Jimeng Shi; Linlong Bian; William H. Campbell; Sumit R. Zanje; Beichao Hu; Arturo S. Leon
    Publisher: American Society of Civil Engineers
    Abstract: In recent years, many researchers have used machine learning approaches to bridge the relationship between big data and physics in the practical engineering field. However, the widely used machine learning models are highly ...
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