Non-destructive detection techniques, such as acoustic emission 11, microseismic 12, high-density electrical 13, and geological radar 14 methods, can directly judge the safety state or hidden danger area of a rock slope. Destructive detection determines the distribution of rock and soil by means of excavation and drilling and obtains important information such as the strength parameters of the rock and soil by means of tests. Engineering detection, mainly including destructive and non-destructive testing, is an essential means to intuitively understand the internal characteristics of a slope, reflect the physical state of the slope in space, and provide a basis for analyzing the causes of abnormal phenomena. The above studies have evaluated slope safety from the perspective of the monitoring information changing over time. Monitoring the external environment, such as rainfall, can warn of landslides 9, 10. judged safety by monitoring the spatial distribution of slope displacement over time in open-pit mines 8. It is also believed that monitoring the surface displacement or displacement increment speed of the slope can be used to evaluate its safety 3, 4, 5, 6, 7. Some researchers have built safety assessment methods or models by monitoring the internal displacement of the slope 1, 2. The monitoring information of time series can be obtained by safety monitoring, and the slope safety can be evaluated by using the changing characteristics, early warning criterion, or development trend of this information. The safety state of channel engineering is reflected by the safety monitoring and detection over time and space, respectively. In order to ensure the safe operation of the high-filling channel, safety monitoring means are usually adopted to grasp its safety status that is, monitoring facilities such as displacement and stress are installed along the line to obtain its status information, and safety detection (destructive and non-destructive testing) is carried out to explore its internal characteristics and analyze the causes of anomalies. In the operation of the high-filling channel, it is affected by the coupling of internal (i.e., material properties) and external (i.e., rainfall and temperature) factors, which may lead to landslide, collapse, and erosion. For instance, in the Central Line Project of South-to-North Water Diversion, the high-fill channel has a length of about 144 km. A high-filling channel, which refers to a channel with a filling height of more than 6 m, is a commonly used water conveyance structure in long-distance water transfer projects. In many countries, especially in China, the safety evaluation of water diversion projects has been paid great attention by the state. Similar content being viewed by othersĪ water diversion project is a powerful means to solve the uneven temporal and spatial distribution of water resources. The proposed method based on Bayesian theory can better use the detection information to recognize and understand the rock and soil in advance hence, the evaluation results are more reliable and consistent with the actual engineering state. Compared to the safety coefficient calculated by the actual exploration, the error rate of the GA-BP neural network is 42.7%, and the fusion method based on Bayesian theory is 2.9%. A comparison of the results of fusing seven different monitoring points shows that the comprehensive utilization of horizontal and vertical displacement can improve the accuracy of the evaluation results. By studying the influence of monitoring information on the safety of the channel, it is found that the horizontal displacement has a greater impact on the safety of the channel than the vertical displacement. The research shows that the fusion method of gathering monitoring and detection information based on Bayesian theory successfully captures the safety state of high-filling channels, and it can quantify and reduce uncertainty compared with fuzzy theory and the GA-BP neural network. In this paper, a method of integrating monitoring and detection information based on Bayesian theory is presented. Therefore, studying how to realize the integration of monitoring and detection information is an important task for the safety evaluations of channels. However, monitoring and detection information cannot comprehensively reflect the prominent problems of the safety state of the channel in terms of time and space. Channels are commonly used in long-distance water transfer projects, where landslides, collapses, or erosion may occur in its course of operation thus, safety evaluation is conducted through monitoring and detection in its key and potentially hazardous areas.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |