Site investigation, deformation monitoring, laboratory test, and theoretical calculations were used to analyze the evolution details of a large expressway roadside landslide during the start-up sliding process. The monitoring results show that the initial deformation and failure occurred on the protective wall at the slope toe, then gradually developed to the upper part of the slope, and finally led to tensile cracks at the slope trailing edge. Accelerated deformation of the slope support structures, such as the protective wall at the slope toe, the anti-slide pile, and the anchor cable, were observed during the continuous extreme rainfall. The infiltrated rainwater can change the weight, the osmotic pressure, the anti-sliding force, the sliding force of the sliding mass, and further soften the fully weathered tuff soil and reduce its strength, resulting in the landslide occurrence. Block the slope surface runoff is an effective measure to reduce the landslide risk. The current analysis will be helpful to the prevention, control, and emergency disposal of similar landslides.
Langerhans cell histiocytosis (LCH) is characterized by unifocal, multifocal single-system, or multi-system disease that brings heterogeneous clinical presentation. Though it primarily attacks children between 1 and 4 years old, the disease occurs in all age groups. 1According to the extent of involvement, LCH results in benign or life-threatening consequences. 2 An indolent form of a single organ disease may remit spontaneously, while multiorgan disease presents with various conditions, including eosinophilic granuloma, characteristic papulosquamous granulomatous, diabetes insipidus, exophthalmos, radicular nerve pain, muscle weakness, bowel and bladder dysfunction, pituitary dysfunction, a range of thyroid, growth hormone, and gonadotropin disturbances. 3 Meanwhile, it
Green development is the theme of the world today. As a kind of pollution-free and convenient carrying tool, the electric vehicle (EV) has been developed rapidly. The layout of the charging station satisfies the customers’ charging demand. Establishing vehicle prediction and charging scale prediction models to meet customers with charging needs. In the research on the layout planning of the charging stations, the elasticity coefficient method is used to predict the number of private electric vehicle (EV), and the queuing theory model is used to predict the charging demand. Forecasting the scale of charging stations based on private electric vehicles ownership and charging demand. Finally, a city is selected as the planning area for example analysis. The feasibility and nationality of the charging station layout planning method were proved.
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