Abstract

Reasonable evaluation and prediction of squeezing condition to avoid large deformation disaster in tunnels have been an important research issue. In order to accurately and rapidly predict the large deformation under complex geological conditions, this paper proposes a classification and prediction method for quick identification of large deformation in tunnel construction stage in a case study of Muzhailing Tunnel. Previous prediction methods of large deformation are usually based on the stages of geological survey and engineering design, and there are great difficulties in obtaining some prediction indexes in soft and fractured strata, such as uniaxial compressive strength. In this paper, the nonlinear deformation behaviors of surrounding rock were analyzed. The geo-stress condition, strata occurrence, rock strength, rock intactness and groundwater condition were chosen as evaluation indexes (including eight sub-indexes). The classification of large deformation was carried out based on the deformation statistics in Muzhailing Tunnel. And the fuzzy prediction was conducted and compared with other methods in engineering. The comparison results show that the new method has higher accuracy and applicability in predicting the large deformation of weak rock mass. This study provides a new approach for rapid identification and prediction of large deformation in tunnel construction stage.

摘要

合理评价和预测隧道挤挤条件以避免大变形灾害一直是重要的研究课题。为了准确、快速地预测复杂地质条件下的大变形，以木寨岭隧道为例，提出一种隧道施工阶段大变形快速识别的分类预测方法。以往的大变形预测方法通常是基于地质勘察和工程设计阶段，对于软质和破碎地层的一些预测指标，如单轴抗压强度等，难以获得。本文对围岩的非线性变形行为进行了分析。地应力条件、地层产状、岩石强度、选取岩石完整性和地下水状况作为评价指标（包括8个子指标）。根据木寨岭隧道变形统计数据进行大变形分类。并进行了模糊预测，并与工程中的其他方法进行了比较。对比结果表明，新方法在预测软弱岩体大变形方面具有较高的准确性和适用性。该研究为隧道施工阶段大变形的快速识别和预测提供了一种新方法。对比结果表明，新方法在预测软弱岩体大变形方面具有较高的准确性和适用性。该研究为隧道施工阶段大变形的快速识别和预测提供了一种新方法。对比结果表明，新方法在预测软弱岩体大变形方面具有较高的准确性和适用性。该研究为隧道施工阶段大变形的快速识别和预测提供了一种新方法。