Dissertation > Excellent graduate degree dissertation topics show

Study on Prediction Model of Pit Foundation Precipitation Caused by Land Subsidence in Non-software Areas

Author: YangYan
Tutor: YuKaiNing
School: Shijiazhuang University of Economics
Course: Geological Engineering
Keywords: Pit foundation precipitation Ground subsidence Precipitation Model non-software areas Multivariatel Analysis BP neural network
CLC: TU433
Type: Master's thesis
Year: 2010
Downloads: 59
Quote: 0
Read: Download Dissertation

Abstract


With the rapid economic development, urban construction in the direction toward the depth of urban space can be fully utilized, high altitude and underground space resources are increasingly being to development, especially deep foundation Almost involve precipitation problems of foundation ground precipitation effects on the surrounding has attracted wide attention.Has generally confirmed that the settlement occurred after the foundation pit for the basic principles, the general view is that a lower head, soil water loss, increase in effective stress, to laminated dense consolidationFirst of all, the concept of land subsidence is given and the present situations of the land subsidence caused by dewatering is illusttrated in details. Second, introduction of the precipitation in the role of Foundation Zhong, foundation pit adverse impact on the surrounding environment and the role of precipitation and Settlement with time, And commonly used formula of land subsidence and its application conditions were analyzed.Then in the collection, collation and analysis of the non-soft soil area of north based on the historic data, research results from home and abroad, information on access to the large amount of data to multiple variable analysis, from a number of factors must be selected in a greater impact on land subsidence factor.Final choice of Beijing Subway Line as engineering examples, and innovative to build a multi-input, multiple output BP neural network model for settlement prediction, achieving the land subsidence Prediction, Network of each group are to meet the requirement of fitting the data to predict the results of the observations have sufficient explanatory power. This environmental and geological disaster prevention and effective control of land subsidence is of great significance

Related Dissertations

  1. Research on Feature Extraction and Classification of Tongue Shape and Tooth-Marked Tongue in TCM Tongue Diagnosis,TP391.41
  2. Research on Visual Servo System of Mechanical ARM,TP242.6
  3. Municipal tourism land use planning environmental impact assessment,X820.3
  4. Study on Taste Characteristic of Taste Peptide Enzymatic Production from Oyster Base on A Neural Network Method,TS254.4
  5. The Research on Evaluation of Living Status Systems of Expressway Relocated People,D523
  6. Predicting Model of Coal Fired Fly Ash Resistivity,X701.2
  7. Mine Risk Information Integration and Intelligent Early Warning,X936
  8. Research of Orange Quality Classification Technology Based on Computer Vision,TP391.41
  9. Optimization Study on Gating System and Molding Process Parameters of Injection Mold Based on Simulation,TQ320.662
  10. Study on Luohe Technical Supervision Bureau of Food Safety Early Warrning System Based on Neural Network,F203
  11. Research of Adaptive Active Noise Control Based on Neural Network,TP183
  12. Research on Automatic Reading System for Digital Meters,TP391.41
  13. Research on Feature Extraction, Selection and Classification Algorithms for Pulmonary CAD,TP391.41
  14. The Research of Evaluation Method in Connect6 Based on BP-TD Learning,TP18
  15. Research on State Diagnosis on Fan Based on Factor Analysis and BP Neural Network,F426.61
  16. The Research and Design of Converter Steelmaking Endpoint Guiding System,TF345
  17. Analysis on Water Ecological Carrying Capacity of Jiangxi Province,TV213.4
  18. Research Offingerprint of Communication Behavior,TP311.13
  19. Research of the Electrode Lifting Hydraulic System of the 60t Electric Arc Furnace,TF748.41
  20. In-furnace Temperature Information Included Combustion Optimization of a Utility Boiler,TK227.1
  21. Research on Daily Load-forecasting for Power Grid Based on ANN,TM715

CLC: > Industrial Technology > Building Science > Soil mechanics,foundation engineering > Soil Mechanics > Ground deformation
© 2012 www.DissertationTopic.Net  Mobile