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Forecasting the complex deformation patterns (e.g., displacement, velocity, etc.) of landslides is required to prevent property damage and loss of human lives caused by landslide deformation and failu...
Forecasting the complex deformation patterns (e.g., displacement, velocity, etc.) of landslides is required to prevent property damage and loss of human lives caused by landslide deformation and failu...
This paper presents the application of tilt sensors to measure the movements of a slope surface and slope crest just before failure during excavation of the lower parts of the slope. The tilt sensors ...
An artificial neural network (ANN) model is developed for the prediction of the ultimate bearing capacity of tubular T-joint under fire. The input parameters of the network are composed of the diamete...
An artificial neural network (ANN) model is developed for the prediction of the ultimate bearing capacity of tubular T-joint under fire. The input parameters of the network are composed of the diamete...
This paper suggests a methodology for characterizing the joint distribution of hurricane intensity (maximum wind speed) and size (radius of maximum winds). Such a model represents an extension of trad...
The demand prediction on emergency resources is the premise and basis of optimal allocation of emergency resources. Nowadays, there are only few researches on this aspect in China and abroad. For this...
Gas pressure is an important index for evaluating the outburst risk and determining the gas content in coal seams. It is recommended to predict coal-seam gas pressure of the workface at deep levels be...
Rockburst possibility prediction is an important activity in many underground openings design and construction as well as mining production. Due to the complex features of rockburst hazard assessment ...

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