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针对隧道围岩变形位移监测中普遍存在着不能有效充分地综合利用多条测线位移监测数据对围岩整体稳定状态作出准确判断的典型难题,以基于克隆选择原理的免疫算法为基础构造信息融合算法,再结合奇异值分解方法、免疫克隆BP网络和变形速率比值法,建立了隧道围岩监测位移信息融合模型。实际算例表明该模型对隧道围岩监测位移信息具有较强的提取融合和非线性处理分析能力,对围岩整体稳定状态的实时判定具有很高的准确性,为及时选用合理的支护措施提供了可靠的参考价值。
In view of the surrounding rock deformation and displacement monitoring of tunnels generally there is a typical problem that can not effectively and fully use multiple survey line displacement monitoring data to accurately determine the overall stability of surrounding rock. Based on the immune algorithm based on the principle of clone selection, information fusion Algorithm, combined with the singular value decomposition method, immune clonal BP network and the rate of deformation ratio method, the tunnel surrounding rock monitoring displacement information fusion model was established. The actual example shows that the model has strong capability of extraction, fusion and non-linear analysis on the monitoring displacement information of the surrounding rock of the tunnel. It has a high accuracy for real-time judgment of the overall stable state of the surrounding rock. In order to timely select reasonable support measures Provides a reliable reference value.