| Issue |
MATEC Web Conf.
Volume 175, 2018
2018 International Forum on Construction, Aviation and Environmental Engineering-Internet of Things (IFCAE-IOT 2018)
|
|
|---|---|---|
| Article Number | 03073 | |
| Number of page(s) | 9 | |
| Section | Computer Simulation and Design | |
| DOI | https://doi.org/10.1051/matecconf/201817503073 | |
| Published online | 02 July 2018 | |
Identification on rock and soil parameters for vibro-cutting rock by disc cutter based on fuzzy radial basis function neural network
1.
School of Civil Engineering, Hunan City College, Yiyang, Hunan, 413000, China ;
2.
School of Civil Engineering, Central South University of Forestry and Technology, Changsha, Hunan, 410004, China
*
Corresponding author: a 846039016@qq.com
A single-POF model of disc cutter with rock and soil has been established according to the dynamical feature and vibration mechanism of disc cutter vibro-cutting rock to solve problem of self-adaption vibro-cutting rock for disc cutter, and identification on rock and soil parameter of disc cutter vibro-cutting rock has been carried out by using fuzzy radial basis function neural network. The experimental result of identification simulation and resonant-column test showed that compared to inherent frequency of a hard sandy which was tested by resonant-column test method, the relevant error of rock and soil parameter identification value of disc cutter vibro-cutting rock is 0.87 %, with high estimation accuracy.
© The Authors, published by EDP Sciences 2018
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