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    Cross-Section Behavior and Design of Hot-Rolled Stainless Steel Channel Sections under Major-Axis Combined Loading 

    Source: Journal of Structural Engineering:;2022:;Volume ( 148 ):;issue: 008:;page 04022110
    Author(s): Shuai Li; Lulu Zhang; Ou Zhao
    Publisher: ASCE
    Abstract: This paper reports a comprehensive experimental and numerical investigation of the cross-section behavior and capacity of hot-rolled stainless steel channel sections subjected to combined compression and major-axis bending. ...
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    Reducing Uncertainty of Prediction from Empirical Correlations 

    Source: Journal of Geotechnical and Geoenvironmental Engineering:;2004:;Volume ( 130 ):;issue: 005
    Author(s): Limin Zhang; Wilson H. Tang; Lulu Zhang; Jianguo Zheng
    Publisher: American Society of Civil Engineers
    Abstract: Empirical correlations with in situ or laboratory test results are routinely used in geotechnical designs and the uncertainty of prediction from these correlations can be substantial at times. This paper formalizes a ...
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    Experimental and Numerical Study of Press-Braked S690 High-Strength Steel Channel–Section Columns Failing by Minor-Axis Flexural Buckling 

    Source: Journal of Structural Engineering:;2022:;Volume ( 148 ):;issue: 008:;page 04022094
    Author(s): Lulu Zhang; Yating Liang; Ou Zhao
    Publisher: ASCE
    Abstract: This paper reports an experimental and numerical investigation into the minor-axis flexural buckling behavior and capacity of press-braked S690 high-strength steel channel–section columns. The experimental investigation ...
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    Bayesian Back Analysis of Spatial Variability with Machine Learning Surrogates 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2025:;Volume ( 011 ):;issue: 002:;page 04025006-1
    Author(s): Xiaoying Chen; Shen Wang; Hao-Qing Yang; Lulu Zhang; Chao-Sheng Tang
    Publisher: American Society of Civil Engineers
    Abstract: Geotechnical sensors provide the advantage of directly monitoring model responses that accurately reflect field conditions. Within these field monitoring data lies the latent potential to glean insights into soil parameters. ...
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