In order to enrich the materials for studying the landslides dam and dammed sediments in the Dadu River Basin. The newly discovered the Hetaoping landslide dam in the middle reaches of the Dadu River was studied. The landslide characteristics, the weir depositional characteristics of the river blockage formation and the landslide formation mechanism were studied through detailed field geological investigations and profiling methods. The field investigation results are as follows. The Hetaoping landslide dam plane area of 2.5 km², the total volume of about 400×10⁴ m³. The phase change characteristics exhibite vertically in the weir depositional profile reflect that the weir has undergone the evolutionary process of formation, deposition and outburst, and that the landslide has locally occurred multi-phase sliding characteristics. The formation mechanism of the Hetaoping landslide dam is divided into four stages, that is unloading rebound stage → dumping deformation stage → dumping expansion fracture stage → landslide formation plug river stage.

With the continuous advancement of the digital transformation and upgrading of traditional railways, accurately obtaining information on railway basic components from massive railway line data is of great significance for railway maintenance, management, and safe operation. The difficulty lies in extracting key features of the data in the target area without distortion. The digital technology based on unmanned aerial vehicle (UAV) photogrammetry provides a new way to obtain extensive data on railway basic components. The UAV was equipped with a high-precision camera to acquire image data and graphic data of the basic components along the railway. Based on the comparison of the actual effects of two general methods for segmenting railway basic components from these two types of source data, the graphic data was selected as the segmentation data source, and the segmentation algorithm was improved. The aim is to automatically segment the rail and other railway basic components within the threshold range from the overall railway line data, and an engineering example is used to verify the effectiveness and feasibility of the algorithm.

The research of landslide monitoring technology plays a key role in preventing landslide disasters, which is not only reflected in the pre-disaster early warning, but also provides a theoretical basis in the post-disaster reconstruction. A clear understanding of the history of landslide monitoring technology can not only understand the development situation of landslide monitoring, but also contribute to the improvement and update of the monitoring technology in the future. Through summarizing the work of a large number of domestic and foreign scholars, the research progress of landslide monitoring technology was expounded from three historical stages: manual monitoring stage, semi-automatic and manual monitoring stage, and semi-intelligent and automatic monitoring stage. The main instruments and methods of common monitoring technology in each period are reviewed. Combining the latest landslide monitoring technology research status, some problems necessary for further research and discussion were proposed from the four perspectives of data inversion, technology comprehensive, intelligent and low-cost technology of landslide monitoring technology.

To study the deformation patterns of wet-sinking loess widely distributed in the alluvial plains of the northern Tianshan Mountains in Xinjiang, experimental studies were carried out to differentiate the effects of soluble salts on the wet-sinking and dissolving effects of loess. Through the ‘three-line method’ compression test of original water content saturated with Na₂SO₄ salt solution and pure water on the original loess samples with five kinds of soluble salt contents, the influence of soluble salt content and its state of existence on the characteristics of loess wet subsidence and subsidence was obtained, and the calculation model of the amount of loess wet subsidence and subsidence deformation with different salt contents was constructed. The results show that there is a critical value for the salt content change to improve the skeleton effect between particles, and wet subsidence is the main mode of deformation when it is less than 8‰ and more than 23‰, while dissolution subsidence is the main mode of deformation when it is between 8‰~23‰; mathematical relationship between each salt content and deformation coefficients under the step-by-step pressure has been fitted by using the Giddings and Extreme model function. The FreundlichEXT regression model was used to construct the starting pressure function equation for different salt contents of soil samples in the study area. The research results can provide scientific basis for the study of the mechanism of joint action of wet subsidence and dissolution subsidence of eolian salt in the region, the design of structural loads and the calculation of deformation.

Many types of defects are produced during the drilling of holes in carbon fiber reinforced composites, and of all the defects delamination has the most serious effect on the material. Therefore, it is crucial to develop an effective model that can accurately predict delamination in laminated materials. However, materials domain data is characterized by small samples, high latitude and complex relationships, which makes it necessary and feasible to use empirical knowledge to enhance the effectiveness of machine learning modeling. A knowledge-guided machine learning(KGML) model that integrates empirical knowledge and data-driven modeling is used to predict laminated material delamination, the fact that empirical knowledge is incorporated into the loss function as an adaptive weighting in order to enforce physical constraints during the training process. Finally, by comparing the prediction performance of the model without knowledge and the model with knowledge, the R² of the model with knowledge was improved from 0.79 to 0.91, which successfully demonstrated the advantages of empirical knowledge-based machine learning, and provide a generalized approach for delamination prediction to reduce the experimentation time and cost for researchers.

A layout optimization model was constructed to address the issues of multiple material handling intersections, high handling costs, and low area utilization caused by the unreasonable layout of KF Company’s general valve workshop. The model considers the direction of material flow in both directions and aims to minimize material handling costs, maximize non logistics relationships, and workshop area utilization. The system layout planning (SLP) method was used to optimize the workshop layout and obtain a preliminary layout plan. Based on the traditional nondominated sorting genetic algorithm II(NSGA-II), the initial layout plan obtained by the SLP method was encoded as part of the initial population to improve the diversity of the algorithm. The adaptive control strategy was introduced into the crossover and mutation operations, and the simulated annealing algorithm was added. Finally, the analytic hierarchy process(AHP) was used to optimize the workshop layout. Process, AHP make optimization decisions on a set of Pareto optimal solutions obtained by the algorithm. The results show that this method can reduce material handling costs by 38.83%, increase non logistics relationships by 44.83%, and optimize workshop area utilization by 19.50%, demonstrating the effectiveness of the model in workshop layout optimization.

Icing on aircraft poses a serious threat to flight safety, and electric heating is an efficient method for anti-icing and de-icing. A three-dimensional mathematical model that considers water film flow and heat transfer for electric heating anti-icing was constructed. Additionally, a numerical calculation method for electric heating anti-icing was proposed. This method was applied to simulate the steady-state anti-icing process of the NACA0012 airfoil under continuous electric heating conditions. The accuracy of this calculation method was validated by comparison with existing experimental data and computational results. The results indicate that when the heating power is low, the water film flows out of the heated area and overflow ice forms downstream. Under the same inflow conditions, a higher heating power results in a higher anti-icing surface temperature and a smaller water film coverage area. Furthermore, the calculated anti-icing surface temperatures are within 5 ℃ error compared to experimental data, and for inflow temperatures no lower than 6.67 ℃, the error is less than 3 ℃.

In order to reduce the floor area of ground equipment for sand control operations, meet the fast and flexible installation and disassembly of subsequent sand control operations, as well as the post-phase inspection, maintenance, inspection and repair, the layout of sand control equipment and process in deepwater gas field was studied. The modular adaptability analysis, modular equipment design, selection and module key connection design were carried out, the modular combination of surface process equipment was realized to ensure the safety and smooth completion of development Wells. Finally, the finite element analysis software SACS was used to model and simulate the module, and the load condition of the module was analyzed and calculated. The modular related design satisfies the design index and safety analysis of the operation, and has certain reference significance for the popularization of the relevant modular technology and scheme in the self-operated deepwater development projects.

The prevailing techniques for seismic phase analysis encompass waveform classification, seismic attribute feature mapping, and seismic geomorphological delineation. The waveform classification method is a well-established and extensively utilized technique for lithological, sand body, and oil and gas reservoir prediction. Nevertheless, the conventional approach relies on equal-length time window waveform similarity, which is only pertinent to the stable zone of formation thickness. As a consequence of changes in formation thickness, equal-length seismic waveforms cannot reflect the complete lithological information, or conversely, may lead to the phenomenon of ‘time-warp’, which in turn affects the accurate revelation of the relationship between reservoirs and waveforms. A seismic waveform classification method for unequally thick layers, intending proposes to reduce complexity and enhance classification efficacy. In comparison to the traditional classification method, this approach transfers unequal seismic signals from the time domain to the Hilbert domain with constant bandwidth, thereby ensuring the completeness of the waveform extraction and simplifying the traditional two-dimensional self-organized feature mapping network into a structure with fewer neurons and a one-dimensional output layer. This adaptation is better suited to the resolution of the seismic data and the need for classification efficiency. The enhanced network retains the capacity to modify the field and value of weight correction by with the responsiveness of the output neurons to the input neurons, thereby facilitating effective control of the network size, reducing the complexity of classification calculations, and enhancing classification efficacy. The practical results confirm the effectiveness of the method and significantly improve the accuracy of waveform classification.

Bedding slope is an easy-to-slide structure often encountered in mountain highway construction, and weak interlayer is a typical potential sliding surface. Taking the bedding slope of expansion project of Guangyuan-Mianyang section of G5 Beijing-Kunming highway as an example, the physical and mechanical parameters of the weak interlayer and the water content and strength parameters under different saturation time were obtained through laboratory tests. The continuous-discontinuous numerical simulation was carried out by using the finite element-smooth particle dynamics method to study the instability evolution and failure mode of the bedding slope. The results show that with the saturation softening of the weak interlayer, the water content increases and the strength decreases, and the plastic zone of the bedding slope continues to extend to the trailing edge of the slope. When the water content is higher than the liquid limit of the weak interlayer, the plastic zone range increases sharply to the first instability length, and the slope shows traction slip-crack failure. The horizontal displacement of the bedding slope has a displacement peak point at the foot of the slope at the slope line slope position, and there is a maximum displacement at the first-level slope platform ; with the increase of the water content of the weak interlayer, the horizontal displacement of the slope increases continuously, and the maximum point of the horizontal displacement appears after 1 h of saturation and begins to undergo large-scale instability deformation.