Institute of Geology and Geophysics, Cas

Institute of Geology and Geophysics

Yunnan Dianzhong Water Diversion Engineering Co.

Beijing Electric Vehicle Co., Ltd.

Lina Ma

Shengwen Qi

Bowen Zheng

Yongchao Li

Xiaokun Hou

Tianming Huang

Zan Wang

Yanlong Kong

Bo Wan

Weiwei Zhu

Haijun Zhao

Xin Wang

Tao Wang

Jing Min Xu

Liang Wang

Songfeng Guo

Wei Lu

Jianing Cong

Chao Jin

Zhendong Cui

Yuran Zhang

Wenjie Hao

Yan Zhang

Lei Zhao

Yu Zou

Wang Zhang

Ning Liang

Guoliang Li

Zhaobin Zhang

Bin Han

Guangming Luo

Shuaihua Song

Xiaolin Huang

Lei Xue

Xueliang Wang

Lei Fu

Jun Yu

Rixiang Zhu

Libo Jiang

Yanjun Shang

Xin Yu

Fengjiao Tang

Qingze Hao

Jinxuan Li

Ming Cai

Pingchuan Dong

Shufang Li

Feng Xiong

Yidong Xiao

Kangwei Dai

Shimeng Tong

Yujun Lv

Wenfeng Cao

A method and system for monitoring structural deterioration of a reservoir rock mass under a long-time high-temperature condition, and a product are provided. The method includes: arranging ultrasonic transducers and fiber optic extrinsic Fabry-Perot interferometric (EFPI) sensors in a loading briquette; loading ultrasonic waves on a rock mass sample with the ultrasonic transducers; monitoring ultrasonic and acoustic emission signals at the rock mass sample with the fiber optic EFPI sensors; inverting a velocity model indicating a change of a wave velocity inside the rock mass sample over time by fast marching acoustic emission tomography using standard optimization (FaATSO) according to the ultrasonic and acoustic emission signals; and conducting joint inversion by a fast-marching method according to the velocity model, the acoustic emission signals, and observation data to determine a position of rock mass fracturing in the rock mass sample.

Method and system for monitoring structural deterioration of reservoir rock mass under long-time high-temperature condition, and product

A real-time quantitative characterization method, equipment and a medium for rock mass evolution are disclosed. The method includes: the multiphase field detection and monitoring data is fused; a deep learning model driven by physical principles is established based on the physical principles of fluid density; the deep learning model is trained using real-time fused data as input and corresponding evolution distribution images as output; a trained deep learning model is used to obtain an evolution distribution image based on multi-phase field detection and monitoring data of different time periods and types; a mathematical model is used to quantitatively characterize of physical and mechanical parameters in the whole process of progressive failure of the dynamic evolution of the rock mass based on the macroscopic mechanical parameters and evolution distribution images synchronized with multiphase field detection and monitoring data.

Real-time quantitative characterization method, equipment and medium for rock mass evolution

A sample mounting device for direct tensile test of rock mass is provided, which includes a first positioning stage, a second positioning stage, a first support piece, a second support piece, and a screw drive mechanism. The second positioning stage is arranged above the first positioning stage and capable of moving up and down, and cushion blocks for gluing with the rock mass are coaxially and detachably arranged at opposite ends of the first positioning stage and the second positioning stage, and a rock mass mounting area is formed between the two cushion blocks. A screw of the screw drive mechanism includes a first thread segment and a second thread segment with opposite thread directions. The first support piece is connected with the first thread segment through a nut seat, and the second support piece is connected with the second thread segment through a nut seat.

Sample mounting device for a direct tensile test of rock mass

The present disclosure provides a multi-scale three-dimensional (3D) engineering geological model construction system and method. A regional geological model of a target region, a site geological model of each engineering site, and a drilling geological model of each drilling well are constructed. The geological model of each drilling well is superimposed to the site geological model of the corresponding engineering site in the way of step-by-step superimposition, and the site geological model of each engineering site fused with the drilling geological model is superimposed to the regional geological model of the target region. Thus, multi-scale geological model fusion of drilling well, engineering site, and regional mountain is realized. The final multi-scale 3D engineering geological fusion model can provide multi-scale refined geological information for geological suitability evaluation of major geological engineering, so as to ensure accuracy of geological suitability evaluation and site selection of major geological engineering.

Multi-scale three-dimensional (3D) engineering geological model construction system and method

A variable angle loading testing machine is provided, which may include a bottom plate and a base fixedly connected to the bottom plate. A rock-sample accommodating cavity is formed in the base, and a rectangle-shaped sample is suitable for being placed into the rock-sample accommodating cavity. A side of the base is fixedly connected to two arc-shaped tension beams arranged in parallel, and a variable angle loading mechanism is slidably connected between the two arc-shaped tension beams. Through-holes are formed on the base, and an output end of the variable angle loading mechanism abuts against the rectangle-shaped sample through one of the through-holes. Loading and unloading of a stress with variable direction and magnitude under excavation disturbance can be simulated, which is of great significance for understanding mechanical behaviors of rock-soil mass under excavation disturbance.

Variable angle loading testing machine

Growing community of inventors

Beijing, China

Lina Ma