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    Scalable Hierarchical Parallel Algorithm for the Solution of Super Large Scale Sparse Linear Equations 

    Source: Journal of Applied Mechanics:;2013:;volume( 080 ):;issue: 002:;page 20901
    Author(s): Xu, Ran; Liu, Bin; Dong, Yuan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The parallel linear equations solver capable of effectively using 1000+ processors becomes the bottleneck of largescale implicit engineering simulations. In this paper, we present a new hierarchical parallel masterslavestructural ...
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    Design, Preparation, and Performance of a Gradient Structural Concrete Member 

    Source: Journal of Highway and Transportation Research and Development (English Edition):;2018:;Volume ( 012 ):;issue: 001
    Author(s): Wen Xiao-dong;Hu Dong-yuan;Zhang Zhen-ya;Zhao Li
    Publisher: American Society of Civil Engineers
    Abstract: The design of a gradient structural concrete component was investigated to improve the durability of concrete structures under harsh environments. On the basis of the theory of functionally graded materials with high crack ...
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    Distributed Energy-Sharing Strategy for Peer-to-Peer Microgrid System 

    Source: Journal of Energy Engineering:;2020:;Volume ( 146 ):;issue: 004
    Author(s): Xiao Han; Lingling Sun; Yuechuan Tao; Junhua Zhao; Guibin Wang; Dong Yuan
    Publisher: ASCE
    Abstract: The rapid growth of renewable distributed generation (RDG) requires further development of the electricity market for distributed energy. This paper proposes an energy-sharing platform as the energy management model with ...
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    Real-Time Prediction of TBM Response Parameters Based on Temporal Convolutional Network 

    Source: Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 001:;page 04024048-1
    Author(s): Yuan-en Pang; Zi-kai Dong; Hong-wei Yu; Hao Cai; Guo-shuai Tian; Ji-Dong Yuan; Yan Liu; Yu Wang; Xu Li
    Publisher: American Society of Civil Engineers
    Abstract: Establishing an accurate predictive model for response parameters is the foundation of control parameter optimization for tunnel boring machines (TBMs). However, existing research mostly focuses on mean values during stable ...
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    DSpace software copyright © 2002-2015  DuraSpace
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