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基于IFOA算法的路基边坡动态预警研究
供稿: 朱家剑;丁龙亭;付林杰;王选仓;高文泽 时间: 2020-03-10 次数:

朱家剑, 丁龙亭, 付林杰,.基于IFOA算法的路基边坡动态预警研究[J].河南理工大学学报(自然科学版),2020,39(2):138-144.

ZHU J J, DING L T, FU L J,et al.Study on the dynamic early warning of subgrade slope based on IFOA algorithm[J].Journal of Henan Polytechnic University(Natural Science) ,2020,39(2):138-144.

基于IFOA算法的路基边坡动态预警研究

朱家剑1, 丁龙亭2, 付林杰3, 王选仓2, 高文泽2

1.甘肃路桥第三公路工程有限责任公司,甘肃兰州 730030;2.长安大学公路学院,陕西西安 710064;3.天津市市政工程设计研究院, 天津  300392

摘要:为了实现对公路边坡的动态监测预警和及时响应,保证行车安全,本文结合甘肃渭武高速公路边坡调查分析,基于IFOA算法,提出边坡监测预警方案。通过室内黄土边坡模拟试验,得到不同降雨强度下边坡位移-时间关系曲线,进而提出以降雨强度、边坡位移-时间曲线特征和位移量为指标的边坡预警分级指标,并针对不同预警级别提出了响应措施。研究结 可实现高陡边坡稳定性检测预警与响应,保证施工安全,也为高边坡设计方案的优化提供了科学依据。

关键词:路基工程;边坡预警;IFOA算法;预警分级与响应

doi:10.16186/j.cnki.1673-9787.2020.2.20

基金项目:国家自然科学基金资助项目(51208045 );甘肃省交通运输厅科技项目(2016-05 );甘肃路桥建设集团科技项目(2018-BX-

收稿日期:2019/05/06

修回日期:2019/06/21

出版日期:2020/03/15

Study on the dynamic early warning of subgrade slope based on IFOA algorithm

ZHU Jiajian1, DING Longting2, FU Linjie3, WANG Xuancang2, GAO Wenze2

1.Gansu Luqiao Third Highway Engineering Co. Ltd. Lanzhou  730030 Gansu China;2.School ofHighway Changan UniversityXi’an  710064 Shaanxi China;3.Tianjin Municipal Engineering Design and Research Institute Tianjin  300392 China

Abstract:In order to realize the dynamic monitoring early warning and timely response to the highway slope and ensure the driving safety a slope monitoring and early warning scheme using IFOA algorithm based on the investigation and analysis of the slope of Gansu Weiwu expressway. Through indoor simulation tests of loess slope the slope displacement-time relation curve under different rainfall intensity was obtained. Then the early warning and classification index of slope based on rainfall intensity displacement time curve characteristics and displacement was proposed and the measures for different warning gradings were put forward. The research results realized the early warning and response of high and steep slope stability detection could ensure the construction safety and provided the basis for the optimization of the high slope design scheme.

Key words:subgrade project;slope warning;IFOA algorithm;early warning classification and response

  基于IFOA算法的路基边坡动态预警研究_朱家剑.pdf

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