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讨论了城市地铁隧道盾构掘进施工中的环境土工安全问题。结合南京市地铁南北线一期工程的试验实践,采用了人工智能神经网络和模糊逻辑技术分别对地表隆起/沉降进行预测和控制。经过与现场监测值所作的对比分析,论证了在该领域采用这种软科学理论与方法的可行性和适用性。
The problems of environmental geotechnical safety in shield tunneling of urban subway tunnel are discussed. Combined with the experimental practice of Nanjing-North Line Phase I project, artificial intelligence neural network and fuzzy logic technology are respectively used to predict and control the surface bump / settlement. After comparing with on-site monitoring data, the feasibility and applicability of this soft science theory and method in this area are demonstrated.