Gravitational search algorithm based microseismic positioning
 in tunnel surrounding rock

WANG Jian-feng; LI Tian-bin; MA Chun-chi; ZHANG Hang; HAN Yu-xuan; ZHOU Xiong-hua; JIANG Yu-peng

doi:10.16285/j.rsm.2018.1736

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

Gravitational search algorithm based microseismic positioning in tunnel surrounding rock

更新时间：2026-06-25

- Gravitational search algorithm based microseismic positioning in tunnel surrounding rock
- Vol. 40, Issue 11, Pages: 4421-4428(2019)
- 作者机构：
  
  1. 成都理工大学环境与土木工程学院,四川,成都,610059
  2. 成都理工大学地质灾害防治与地质环境保护国家重点实验室,四川,成都,610059
  3. 四川巴陕高速公路有限责任公司,四川,成都,610059
  4. 悉尼大学土木工程学院， NSW,悉尼,澳大利亚,200
- 作者简介：
- 基金信息：
- DOI：10.16285/j.rsm.2018.1736
  CLC： TU45
- Online First：01 December 2019，
  
  Published：2019
- 稿件说明：
移动端阅览
WANG Jian-feng, LI Tian-bin, MA Chun-chi, et al. Gravitational search algorithm based microseismic positioning in tunnel surrounding rock[J]. 2019, 40(11): 4421-4428.
DOI：

WANG Jian-feng, LI Tian-bin, MA Chun-chi, et al. Gravitational search algorithm based microseismic positioning in tunnel surrounding rock[J]. 2019, 40(11): 4421-4428. DOI： 10.16285/j.rsm.2018.1736.

摘要

针对目前深埋隧道围岩微震源定位难且精度不高等问题，采用启发式算法——引力搜索法（GSA）对隧道围岩微震源位置进行搜索，并将该算法与粒子群算法和单纯形法的搜索结果进行对比。发现在双速度模型和三速度模型下，引力搜索法相较于粒子群算法和单纯形法，都具有快速收敛、精度较高的优点，且与震源位置的距离能够控制在10 m以内。对双速度模型，引力搜索法的精度相对于单纯形法提高了83.71%，相对于粒子群算法提高了7.77%。对三速度模型，引力搜索法的精度相对于单纯形法提高了70.67%，相对于粒子群算法提高了39.36%。可见，该方法为深埋隧道微围岩震源定位提供了一种新思路。

Abstract

To overcome the difficulty of deep buried tunnel microseismic source positioning and low positioning accuracy problems

a heuristic algorithm

gravitational search algorithm (GSA)

is used to in this paper to search the location. The algorithm is compared with results of the particle swarm optimization and the simplex algorithm. Research shows that

under the two and three velocity models

the gravitational search algorithm has the advantages of fast convergence and high precision over the particle swarm optimization and the simplex algorithm. The distance from the source location can be controlled within 10 m

which meets the need of tunnel construction better. For the two velocity model

the accuracy of gravitational search algorithm is 83.71 percent higher than the simplex

and 7.77 percent higher than the particle swarm optimization. For the three velocity model

the accuracy of gravitational search algorithm is 70.67 percent higher than the simplex

and 39.36 percent higher than the particle swarm optimization. Through the analysis

gravitational search algorithm (GSA) can provide a new idea for the position of micro-seismic source in deep buried tunnels.

关键词

Keywords

references

Views

263

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Study of precursor information recognition and multiparameter early warning before rockburst of island fully mechanized caving face

Research on disaster monitoring of overburden ground pressure and surface subsidence in extra-large mined-out area

Analysis of supporting effect of systematic bolts applied to weak and broken phyllite tunnels in meizoseismal area

Moment tensor analysis of attitude characterization of hard rock newborn fracture surface based on microseismic informations

Study of site monitoring of vertical full displacement of vault surrounding rock of tunnels and its change law

Related Author

WANG Chun-qiu

JIANG Bang-you

GU Shi-tan

TAN Yun-liang

王荣超

黄瑞峰

HU Jing-yun

LI Shu-lin

Related Institution

State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology

College of Mining and Safety Engineering, Shandong University of Science and Technology

State Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining & Technology

Changsha Institute of Mining Research Co., Ltd.

Yuxi Dahongshan Mining Co., Ltd.

AI问答

⁰