Showing 1 - 5 results of 5 for search '"first base"', query time: 0.06s Refine Results
  1. 1

    Probabilistic calibration of stress-strain models for confined normal-strength concrete by Yu, Bo, Qin, Chenghui, Tao, Boxiong, Li, Bing

    Published 2022
    “…The probabilistic models for both peak stress and peak strain (strain corresponding to peak stress) of confined normal-strength concrete (NSC) were established first based on the Bayesian theory and the Markov chain Monte Carlo method. …”
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    Journal Article
  2. 2

    Theoretical and practical models for shear strength of corroded reinforced concrete columns by Yu, Bo, Ding, Zihao, Liu, Shengbin, Li, Bing

    Published 2022
    “…The deterioration mechanism for shear strength of the CRCC due to the steel reinforcement corrosion was explored first based on the shear mechanism analysis of the truss-arch model. …”
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    Journal Article
  3. 3

    Classification method for failure modes of RC columns based on key characteristic parameters by Yu, Bo, Yu, Zecheng, Li, Qiming, Li, Bing

    Published 2023
    “…The weight coefficients of seven characteristic parameters for failure modes of RC columns were determined first based on the support vector machine-recursive feature elimination. …”
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    Journal Article
  4. 4

    Energy harvesting from thermally induced vibrations of antenna panels by Yu, Dewen., Yang, Yaowen, Hu, Guobiao, Zhou, Yifan, Hong, Jun

    Published 2022
    “…A novel thermal-mechanical-electrical coupling model is developed to accurately predict the dynamic response of the system. Firstly, based on the comprehensive analysis of spatial heat fluxes, the transient thermal conduction equations are derived via the variational principle. …”
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    Journal Article
  5. 5

    Automatic clustering for unsupervised risk diagnosis of vehicle driving for smart road by Shi, Xiupeng, Wong, Yiik Diew, Chai, Chen, Li, Michael Zhi Feng, Chen, Tianyi, Zeng, Zeng

    Published 2022
    “…This study proposes a domain-specific automatic clustering (termed AutoCluster) to self-learn the optimal models for unsupervised risk assessment, which integrates key steps of clustering into an auto-optimisable pipeline, including feature and algorithm selection, hyperparameter auto-tuning. Firstly, based on surrogate conflict measures, a series of risk indicator features are constructed to represent temporal-spatial and kinematical risk exposures. …”
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    Journal Article