岩土工程学报2026，Vol.48Issue(1)：96-104,9.DOI:10.11779/CJGE20240750
基于土石混合体随机重构的路基空洞地质雷达响应特征
Response characteristics of ground-penetrating radar for subgrade void based on random reconstruction of soil-rock mixture
摘要
Abstract
In order to study the response characteristics of geological radar waves to soil-rock mixed subgrade void,a microscopic model of soil-rock mixture with pores is built with considering the randomness and non-uniformity of soil-rock mixtures.The random placement method together with the random growth method are employed for the model,in which the gravel particle model is built by the elliptical expansion deformation method.The geological radar forward simulations of soil-rock mixed subgrade void are carried out by using GprMax software.And the applicability of the model is verified by the equivalent dielectric constant.Furthermore,the influence of subgrade roadbed gravel content,porosity,and moisture content on the reflection signal of voids are simulated.The results show that the electromagnetic waves will be strongly reflected when it propagates to the void.The electromagnetic wave scattering in the soil-rock mixed subgrade is obvious,the waveform is blurry,and the wave surface is not smooth.The larger the particle size of the gravel particle,the more severe the distortion of the reflected wave,and the lower the distinguishability.Gravel is the main cause of electromagnetic wave scattering,and an appropriate amount of gravel can enhance the amplitude of cavity signals.If it exceeds a certain amount,the signal will attenuate.The porosity and moisture content mainly affect the reflection signal characteristics of void through the dielectric constant.This study can provide a theoretical basis for the recognition of geological radar images of void in soil-rock mixed subgrade.关键词
非均匀/土石混合体/路基空洞/电磁波/正演模拟Key words
heterogeneous/soil-rock mixture/subgrade void/electromagnetic wave/forward modeling分类
建筑与水利引用本文复制引用
SHI Wenhao,WU Yifeng,ZHANG Yonghui,ZHU Xiaodan,FAN Lüye..基于土石混合体随机重构的路基空洞地质雷达响应特征[J].岩土工程学报,2026,48(1):96-104,9.基金项目
国家自然科学基金项目(42202306) （42202306）
苏州市科技计划(基础研究)项目(SJC2023002) （基础研究）
深部煤炭资源智能绿色开采安徽省联合共建学科重点实验室开放课题(IGMDCR202406)This work was supported by National Natural Science Foundation of China(Grant No.42202306),Suzhou Science and Technology Plan(Basic Research)Project(Grant No.SJC2023002),Open Project of Anhui Province Key Laboratory of Intelligent and Green Mining of Deep Coal Resources,Anhui University of Science and Technology(Grant No.IGMDCR202406). （IGMDCR202406）
