隧道渗漏水病害等级评价体系研究

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摘要研究目的：隧道渗漏水是隧道运营中的主要地质灾害之一 ,为了更好地预防渗漏水的发生 ,以及运营阶段的渗漏水病害治理 ,本文系统性提出了“ 隧道渗漏水病害发生可能性等级预测——运营隧道渗漏水病害等级评价——现场实测资料评价渗漏水病害等级 ” 的思路 ,为隧道渗漏水病害分级预测、评价提供一条新思路。

研究结论：采用不同的随机性数学方法建立了渗漏水病害发生可能性等级预测、运营隧道渗漏水病害等级评价的模型 ,并进行了模型的实例应用研究。结果表明马氏距离法预测隧道渗漏水的等级 , BP神经网络方法和模糊综合评价法评价渗漏水等级与现场资料实测的评价等级一致。

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	潘海泽
	黄远春
	曹江英

关键词 ：隧道渗漏水 , 现场实测资料评价 , 马氏距离法 , BP神经网络法 , 模糊综合评价

Abstract：Research purposes：Tunnel leakage is one of the major geological disasters in the process of tunnel operation. In order to better prevention of tunnel leakage and better treatment of tunnel leakage in tunnel operation, this paper presents a systematic research thoughts of " prediction of possibility grade of happening tunnel leakage disaster-evaluation of tunnel leakage disaster grade in tunnel operation period-evaluation of tunnel leakage grade with field measured data" , for offering a new thought on classificatory prediction and evaluation of tunnel leakage disasters.

Research conclusions：The models for prediction of possibility grade of happening tunnel leakage disaster and evaluation of tunnel leakage disaster grade in tunnel operation period are established with all kinds of stochastic mathematical methods, and the applied research on these models are done. The results show that the grades of tunnel leakage predicted by Mahalanobis distance method and evaluated by BP neural network and Fuzzy comprehensive evaluation methods are consistent with the evaluation with from the field measured data.

Key words： tunnel leakage evaluation with field measured data, Mahalanobis distance method BP neural network method Fuzzy comprehensive evaluation

收稿日期: 2009-10-30

PACS:

U457

作者简介: 潘海泽 , 1978年出生 ,男 ,讲师。

引用本文:

潘海泽；黄远春；曹江英. 隧道渗漏水病害等级评价体系研究[J]. 铁道工程学报, 2010, 27(1): 63-67.
PAN Hai-ze, HUANG Yuan-chun, CAO Jiang-ying. Study of Grade Evaluation System for Tunnel Leakage Disaster. 铁道工程学报, 2010, 27(1): 63-67.

链接本文:

http://tdgcxb.crec.cn/CN/ 或 http://tdgcxb.crec.cn/CN/Y2010/V27/I1/63

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