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Study on Dynamic Compaction Parameter Prediction System in Loess Sites

Author: LiBin
Tutor: ZhangYuChuan
School: Lanzhou University
Course: Geotechnical Engineering
Keywords: Dynamic Compaction Effective Strengthening Depth The amount of tamping Shen Collapsible Loess BP neural network
CLC: TU444
Type: Master's thesis
Year: 2010
Downloads: 51
Quote: 0
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Abstract


The adverse effects of the loess region works to eliminate the loess collapsibility , many scholars at home and abroad , and engineering and technical personnel in a lot of exploration and practice , invented many can eliminate the collapsibility of loess foundation treatment methods , dynamic compaction method is commonly used. Its effect is significant , economical and easy to facilitate the construction, short construction period , the advantages in a very wide range of application and promotion . The dynamic compaction design parameters more effective reinforcement depth and rammed Shen amount of these two parameters play a vital role in the design and construction of the dynamic compaction method . Therefore, the study of these two important parameters have very important practical significance . Dynamic Consolidation of the foundation of the system analysis principles based on the two different perspectives of the macroscopic and microscopic mechanism of dynamic compaction discussion and discourse . Effective the reinforcement depth ram Shen amount of the calculated due to the complexity of the reinforcement mechanism and uncertainties exist, various seem not very apt applicable . This article summarizes the analysis of collapsible loess region a large number of dynamic compaction engineering data , the analysis of the main factors to draw effective reinforcement depth and rammed Shen : unit area tamping energy , tamping hit number , water content and void ratio . A new method based on BP artificial neural network model , expounded the principles and ideas of the method , given the specific implementation steps ; then were simulated in the MATLAB platform , to verify the method effectiveness and practicality ; final design , the establishment of a complete set of parameters of dynamic compaction forecast system software , and BP forecasting methods to further enhance operability on the application , and to provide a reference for engineering practice .

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CLC: > Industrial Technology > Building Science > Soil mechanics,foundation engineering > Various types of soil and foundation > Loess and foundation
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