Primary fractures significantly impacted the stability of surrounding rock in underground projects. Therefore, it is vital to find a solution for the problem of performing a non-destructive detection of rocks and extracting the internal three-dimensional (3D) data field of rocks for visualization analysis. To address this problem, this paper proposed a method of 3D reconstruction for complex cracks in deteriorated sandstone and developed a program based on MATLAB. This work carried out image recognition on the CT scan images of deteriorated sandstone, then implemented a surface reconstruction technique based on object cross-section information, a contour reconstruction technique based on object contour information, a point cloud reconstruction technique for extracting point cloud data of internal cracks in deteriorated sandstone, and a Graphical User Interface (GUI) control system that combines these three reconstruction techniques. The results showed that the 3D reconstruction techniques and the GUI control system proposed in this paper were capable of precisely marking the location of the cracks on a 3D coordinate system and accurately describing their shape with a vector. With only 10 CT scan images, the point cloud reconstruction technique constructed the digital core, and the digital core can quantitatively characterize the influence of primary fractures on the stability of surrounding rock. Additionally, the calculated results of the proposed method were very close to that of Avizo. This method realized the visualization and quantitative characterization of the internal structure of rocks and offered a model for analyzing the stress-fracture-seepage field change during excavation.

The Sichuan Basin in China is one of the most concentrated areas of red beds in China. In the red-bed area, abundant rainfall can easily cause natural disasters, such as landslides, mudslides, collapses, and subsidence. This has had a great impact on the safety of people and property and sustainable modernization in the area. Zhongjiang County of Sichuan Province is a typical red-bed area, and red sandstone is one of the main foundation rocks in this area. Under the influence of rainfall, the strength of red sandstone foundation easily decays, causing disasters such as house collapse. Therefore, in order to explore the influence of rainfall on the mechanical properties of red sandstone, this paper takes the red sandstone in Zhongjiang County, Sichuan Province, China, as the research object and conducts acoustic-emission uniaxial compression experiments under different water contents. The strength characteristics, instability precursor characteristics, fracture types, and damage characteristics of red sandstone in different water-bearing states are obtained. The abovementioned results provide a reference for the Zhongjiang County Government to consider the impact of rainfall on the red sandstone foundation during modernization and emergency management.

China is strengthening the construction of the disaster resistance capacity of its mountain buildings, which increases the demand for RC Diaojiaolou reinforcement technology. In this paper, the performance of RC Diaojiaolou structures (unreinforced and carbon-fiber cloth-reinforced) in an earthquake is studied by a physical model test. The results show that carbon-fiber cloth can effectively improve the seismic capacity. The natural vibration period and acceleration- and displacement-increment coefficients of DF and CDF conformed to the exponential law. The damage process can be divided into three stages: DS, YS, and PS. After reinforcement, the development law of the average value of the acceleration-increment coefficient changed from the N type to the V type, and the development law of the average value of the displacement-increment coefficient changed from the concave type to the V type. The Diaojiaolou was the least affected by the acceleration at I. The displacement deformation of DF was the least affected by the seismic waves at DZ1. The displacement deformation of CDF was the least affected by the seismic waves at I. These findings provide a theoretical basis for the seismic design of mountain Diaojiaolous.

As one of the regions with frequent engineering construction and frequent geological disasters, the alpine gorge area of the Qinghai-Xizang Plateau is of great significance for its environmental risk assessment. This paper takes Chaya County in the region as the research object, combined with the essential data survey, using remote sensing images and a geographic information system (GIS) platform to carry out spatial statistics and analyze common geological disasters in the study area. Based on this, the SMOTE-Tomek-random forest (STRF) geological disaster evaluation model and the information method model were used to explore the impact of engineering construction on the susceptibility and vulnerability of geological disasters in the Alpine Canyon area. The results show that small geological disasters are mainly distributed in the study area, accounting for 67.95%; the vulnerability zoning of geological disasters in the study area is mainly low vulnerability area and low vulnerability area. Among them, the high vulnerability area accounts for 3.2%, and the high vulnerability area accounts for 9.86%. From the perspective of administrative regions, the vulnerability values of Yanduo Town, Xiangdui Town, and Jitang Town are higher, which is consistent with the distribution law regarding hidden danger points of geological disasters. Based on the STRF susceptibility model and the traditional random forest susceptibility model, the AUC values are all above 0.9. In the test set and training set, the accuracy of the STRF model is slightly reduced. However, the interpretability of the address disaster model in the Alpine Gorge area is enhanced. The region’s susceptibility area is the highest, accounting for 50.59, 46.96, and 38.74%, respectively. The project’s construction has increased the geological disaster-prone areas in the study area by 183.21 and 38.9 km², respectively. The results show that the STRF model is feasible in assessing geological disaster susceptibility in the Alpine Canyon area.