| 基于模糊推理的悬臂式隧道掘进机工作性能预测方法 |
| |
| 引用本文： | 曹文贵,李树林,张永杰.基于模糊推理的悬臂式隧道掘进机工作性能预测方法[J].水文地质工程地质,2018,0(5):80-80. |
| |
| 作者姓名： | 曹文贵 李树林 张永杰 |
| |
| 作者单位： | 1.湖南大学岩土工程研究所，湖南 长沙410082； 2.长沙理工大学土木与建筑学院，湖南 长沙410114 |
| |
| 基金项目： | 国家自然科学基金项目资助（51378198；51208063）；高等学校博士学科点专项科研基金项目资助（20130161110017）；湖南省交通运输厅科技计划项目资助（201533） |
| |
| 摘 要： | 悬臂式隧道掘进机的工作性能一般采用其进行隧道铣挖的瞬时切割速率来综合度量，它是其进行隧道铣挖施工的适应性及其设备选型的重要依据。为了预测悬臂式隧道掘进机铣挖瞬时切割速率，结合其主要受隧道围岩岩性与施工设备条件控制的特点，本文首先选取岩石单轴抗压强度、岩石质量指标和悬臂式隧道掘进机截割功率作为预测指标，建立出铣挖瞬时切割速率预测模型；然后，考虑影响因素的模糊不确定性特点，提出基于模糊推理理论（包括模糊化、模糊规则库、模糊推理机和去模糊化）的铣挖瞬时切割速率预测方法。该方法不仅可全面反映隧道围岩岩性及施工设备条件的影响，还可反映相应各影响因素的模糊不确定性。最后，通过与现有方法分析和实测结果的比较分析，表明了本文模型与方法的合理与可行性。
|
| 关 键 词： | 隧道 悬臂式隧道掘进机 瞬时切割速率 工作性能预测 模糊推理 |
| 收稿时间： | 2018-03-22 |
| 修稿时间： | 2018-04-02 |
A performance prediction method of roadheader by fuzzy inference |
| |
| CAO Wengui,LI Shulin,ZHANG Yongjie.A performance prediction method of roadheader by fuzzy inference[J].Hydrogeology and Engineering Geology,2018,0(5):80-80. |
| |
| Authors: | CAO Wengui LI Shulin ZHANG Yongjie |
| |
| Institution: | 1.Geotechnical Engineering Institute of Hunan University，Changsha，Hunan410082，China； 2.School of Civil and Architecture Engineering，Changsha University of Science ＆ Technology，Changsha，Hunan410114，China |
| |
| Abstract: | The instantaneous cutting rate of a roadheader is generally used to comprehensively measure the performance of the roadheader. It is important to select the roadheader as the tunnel excavation method as well as to select the type of the roadheader. To predict the instantaneous cutting rate of a roadheader, based on the instantaneous cutting rate which is mainly affected by both the lithology of the tunnel surrounding rock and the construction equipment factors, a prediction model is established by choosing the uniaxial compressive strength, rock quality designation and cutting power of the construction equipment as the prediction indexes. As the influence factors are fuzzy and uncertain, a prediction method of instantaneous cutting rate based on the fuzzy inference theory (including fuzzification, fuzzy rule base, fuzzy inference engine and defuzzification) is proposed. This method not only reflects the influence of the surrounding rock and the construction equipment, but also reflects the fuzzy uncertainty of the corresponding influence factors. Comparison of the predicted values achieved from the new model and previous model with the measured results shows that the proposed method is feasible and reasonable. |
| |
| Keywords: | |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《水文地质工程地质》浏览原始摘要信息 |
| 点击此处可从《水文地质工程地质》下载免费的PDF全文 |
