基于LHS-WOA-ELM的隧道圍巖參數反演分析
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華南理工大學(xué)

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U459.2

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國家自然科學(xué)基金資助項目(51878296);國家自然科學(xué)基金資助項目(12302502)


Inversion analysis of surrounding rock parameters of tunnel based on LHS-WOA-ELM
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South China University of Technology

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    摘要:

    為提高隧道圍巖力學(xué)參數取值的合理性已箫,依托珠海市某超大斷面隧道工程提出一種新型圍巖參數反演模型精盅。基于拉丁超立方體抽樣(LHS)產(chǎn)生初始樣本后進(jìn)行參數敏感性分析以確定圍巖的關(guān)鍵參數和改進(jìn)樣本結構贺壮,然后利用鯨魚(yú)優(yōu)化算法(WOA)對極限學(xué)習機(ELM)的隱含層神經(jīng)元節點(diǎn)數逗抑、初始權重和閾值進(jìn)行優(yōu)化進(jìn)而組成LHS-WOA-ELM反演模型演徘,將反演所得參數代入FLAC3D計算位移并與現場(chǎng)實(shí)測數據進(jìn)行對比分析。結果表明:采用基于LHS進(jìn)行的參數敏感性分析能夠以較少的樣本考察多參數共同變化的情況鸠头,并確定影響圍巖位移的主要參數為彈性模量E、黏聚力c和內摩擦角φ;相比于WOA、ELM、BP算法模型,LHS-WOA-ELM模型反演所獲得的位移計算值與實(shí)測值相差更小,表明該反演分析方法能夠很好地反映圍巖參數與變形之間的非線(xiàn)性、不確定性特征,進(jìn)一步提高圍巖反演的精度和效率,可為地下洞室、礦業(yè)工程的設計參數確定提供參考。

    Abstract:

    In order to improve the rationality of mechanical parameters of tunnel surrounding rock, a new inversion model of surrounding rock parameters is proposed based on a tunnel project with a super large-section in Zhuhai. After the initial samples are generated based on Latin hypercube sampling (LHS), the parameter sensitivity analysis is carried out to determine the key parameters of the surrounding rock and improve the sample structure. Then, the whale optimization algorithm (WOA) is used to optimize the number of hidden layer nodes, the initial weights and the thresholds of the extreme learning machine (ELM) to form the LHS-WOA-ELM inversion model. The inversion parameters are substituted into FLAC3D to calculate the deformation and compare with the field measured data. The results show that the parameter sensitivity analysis based on LHS can investigate the co-variation of multi-parameters with fewer samples and and determine the main parameters affecting the displacement of surrounding rock as elastic modulus E, cohesion c and internal friction angle φ. Compared with WOA, ELM and BP algorithm models, the difference between the calculated deformation values obtained by LHS-WOA-ELM inversion model and the measured deformation values is smaller, indicating that the inversion analysis method can well reflect the nonlinear and uncertain characteristics between the surrounding rock parameters and deformation, and further improve the accuracy and efficiency of the surrounding rock inversion in super-large section tunnels, which can provide a reference for determining the design parameters of underground caverns and mining projects.

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  • 收稿日期:2024-04-28
  • 最后修改日期:2024-06-23
  • 錄用日期:2024-06-24
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