【摘要】 在现代隧道与地下工程设计、施工中,新奥法已经深入了工程建设的各个方面。但是对于关系隧道支护质量优劣关键的支护时机问题,现在更多的还是依靠具有实际经验的工程师们来估计,而由于各人经验不同,对于时机的把握也有较大的差别,由此,造成了工程质量的参差不齐。本文结合近几年迅速发展的神经模糊推理理论,建立了能够有效利用多项工程的实际经验来决策支护时机的神经模糊推理系统。实践表明,该系统的准确率较高,能够用于工程实践。更多还原

【Abstract】 As an useful perspective,the NATM has gone into many hands of the tunnel and underground structure designs and constructions.But the supporting time,which determines the tunnel’s support quality,is usually determined by the engineer’s experience.What’s more,different engineers have different decisions on the supporting time,so the construction project quality would vary greatly.In this thesis the neuro-fuzzy inferential system was set up to gain the supporting time,which can make a good use of the experience of the engineering projects.The result suggests that this system has a good accuracy and is useful in the engineering practice.更多还原