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Study On The Settlement Prediction Of Mountainous Guizhou Soft Based On Neural Network

Posted on:2015-06-01Degree:MasterType:Thesis
Country:ChinaCandidate:M ZhaoFull Text:PDF
GTID:2272330431988447Subject:Road and Railway Engineering
Abstract/Summary:PDF Full Text Request
With the recent rapid development of China’s western region’s economicconstruction, building mountain highways Southwest also will leaps and bounds. Softand existing coastal plains and inland of the difference is present in the soft groundbecause of the mountains of Guizhou has its own different characteristics, and has avery complex and diverse forms of foundation damage and deformation characteristics,very complex new issues such as climate, hydrology and geology in the constructionprocess of the need to face is becoming more prominent, which makes the mountains ofGuizhou Soft-related research has become a representative of Guizhou highwayconstruction technical problems, especially after the settlement and forecasting process.In this paper, mountainous Guizhou Province along the highway soft foundationtreatment method conducted extensive surveys and data collection, analysis resultsmountainous Guizhou peculiar form o f soft soil damage in the territory of theengineering properties of mountainous Guizhou province Soft investigation Based onthe analysis summarizes the mountainous Guizhou soft soil environment, bedding, aswell as physical and mechanical properties of the season, and summarize thecharacteristics of soft soil deformation, deformation characteristics presented inaccordance with the use of specific sections of CFG pile composite foundationtreatment of soft soil roadbed plan. Shao Wen intermediaries were the composition andworking of CFG pile composite foundation piles for the assemblage characteristicspeculiar CFG installed, specifically addressed the characteristics of compositefoundation bearing capacity, settlement and deformation theory. By relying on theproject and the use of soft ground settlement CFG installed on-site observation process.In the resulting observation data, based on the establishment of different neural networkmodel to predict the settlement on soft ground, and the prediction results were analyzedto evaluate forecast results.Settlement after the final results predicted for soft ground treatment papers providea theoretical basis. However, the current, the use of modern science and technologyresearch to predict post-construction settlement behind the actual use. So in futurework, there should be further explore settlement prediction of soft ground treatmentmethods.
Keywords/Search Tags:CFG pile composite foundation, bearing capacity, roadbeddeformation, neural network, settlement prediction
PDF Full Text Request
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