Study on Intelligent Prediction and Surge Warning of Confined Water in Deep Foundation Pit with Pebble Sand Rich in Water
In order to explore the water bearing capacity measurement and surge resistance ability of the deep foundation pit with water-rich sand and gravel,the deep foundation pit of Jinyu Station of Fuzhou Metro Line 2 was taken as the research object,and the anti-surge water parameters of the foundation pit were estimated through theoretical analysis and on-site precipitation experiment.The artificial intelligence algorithm is introduced to predict the untested part.In addition,based on the predicted value,measured value and theoretical calculation parameters,the multi-information fusion surge evaluation model is constructed.The results show that the calculation accuracy of the intelligent prediction method based on theoretical analysis and precipitation test meets the requirements.The result of fusion of multiple indexes evaluated the risk level of surge as level I,and the foundation pit was in a safe state.This method can provide useful reference for similar engineering problems.
surge waterdeep foundation pitintelligent predictionwater-rich sand pebble formationearly warning method
NETL
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