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    High-Dimensional Reliability Method Accounting for Important and Unimportant Input Variables 

    Source: Journal of Mechanical Design:;2021:;volume( 144 ):;issue: 004:;page 41702-1
    Author(s): Yin, Jianhua; Du, Xiaoping
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Reliability analysis is a core element in engineering design and can be performed with physical models (limit-state functions). Reliability analysis becomes computationally expensive when the dimensionality of input random ...
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    Estimation of Hydraulic Conductivity of Saturated Sand–Marine Clay Mixtures with a Homogenization Approach 

    Source: International Journal of Geomechanics:;2018:;Volume ( 018 ):;issue: 007
    Author(s): Shi X. S.;Yin Jianhua
    Publisher: American Society of Civil Engineers
    Abstract: A series of oedometer tests was performed on pure marine clay and sand–marine clay mixtures with various initial water contents in the clay matrix and sand fractions. The hydraulic conductivity was computed from the ...
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    Laboratory Study of the Shear Strength and State Boundary Surface of a Natural Lumpy Soil 

    Source: Journal of Geotechnical and Geoenvironmental Engineering:;2018:;Volume ( 144 ):;issue: 012
    Author(s): Shi X. S.;Herle I.;Yin Jianhua
    Publisher: American Society of Civil Engineers
    Abstract: Landfills consisting of waste natural lumpy soils from open-pit mining are being deposited. The shear strength of excavated lumpy soils is important for designing the landfills. To this end, a series of oedometer and ...
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    A Safety Factor Method for Reliability-Based Component Design 

    Source: Journal of Mechanical Design:;2021:;volume( 143 ):;issue: 009:;page 091705-1
    Author(s): Yin, Jianhua; Du, Xiaoping
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Reliability-based design (RBD) employs optimization to identify design variables that satisfy the reliability requirement. For many routine component design jobs that do not need optimization, however, RBD may not be ...
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    Uncertainty Quantification With Mixed Data by Hybrid Convolutional Neural Network for Additive Manufacturing 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2024:;volume( 010 ):;issue: 003:;page 31103-1
    Author(s): Yin, Jianhua; Hu, Zhen; Du, Xiaoping
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Surrogate models have become increasingly essential for replacing simulation models in additive manufacturing (AM) process analysis and design, particularly for assessing the impact of microstructural variations and process ...
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    Creep Coefficient of Binary Sand–Bentonite Mixtures in Oedometer Testing Using Mixture Theory 

    Source: International Journal of Geomechanics:;2018:;Volume ( 018 ):;issue: 012
    Author(s): Shi X. S.;Yin Jianhua;Feng Weiqiang;Chen Wenbo
    Publisher: American Society of Civil Engineers
    Abstract: A series of oedometer tests was performed on binary sand–bentonite mixtures considering both the effect of the sand mass fraction and the initial water content of the bentonite matrix. The experimental data reveal that the ...
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