Dissertation > Excellent graduate degree dissertation topics show

Study on Dynamic Prediction of Foundation Pit Monitoring Time Series Analysis Methods Based on Wavelet Technology

Author: ZhaoYanRong
Tutor: YuanBaoYuan
School: Hohai University
Course: Geological Engineering
Keywords: Deep foundation Monitor Time series analysis Neural network Wavelet Technology Dynamic prediction
CLC: TU753
Type: Master's thesis
Year: 2006
Downloads: 399
Quote: 3
Read: Download Dissertation

Abstract


The deep pit more and more widely, for large buildings, Excavation affect the safety of the entire construction of the building and future operations. Accurate dynamic prediction not only provide a reliable guarantee for the safety of the excavation engineering construction experience, but also for the promotion and application of new technologies. Commonly used instrument excavation engineering safety monitoring and timely processing and analysis of monitoring data. At present, the common approach of the monitoring data regression analysis, gray theory analysis and neural network methods. In recent years, time series analysis method because it can handle dynamic data, to forecast high accuracy in the short term, has been widely used in engineering practice. However, the the excavation monitoring data collection process, the inevitable will be the impact of the construction as well as other uncertainties (such as weather, environment, etc.), so that the collected monitoring data will contain some degree of noise, if you will collection of monitoring data were analyzed using time series analysis method, then the presence of noise is bound to affect the accuracy of the analysis results, using monitoring data the best timing analysis can be hidden in the signal noise to get rid of in order to achieve better The results of the analysis. In view of this, the paper presents a method based on wavelet technology to improve time series analysis. Wavelet multi-resolution technology, a signal can be decomposed into different frequency signal, and the signal-to-noise happens in different frequency bands, the signal is in the low frequency band in the time domain and frequency domain is local; noise in The high-frequency band, in the time domain space is global distribution exists everywhere in the entire monitoring period. Therefore, the use of this distribution characteristics, simply select a certain threshold of high-frequency coefficients of high-frequency coefficients to deal with it effectively removing noise while retaining the signal. The paper combines the Run Yang Yangtze River Highway Bridge South Branch of the Suspension Bridge South Anchorage freezing piles AFP technology engineering practice, the optimization method based on wavelet technology, time series analysis, time series analysis aims to more deep excavation monitoring data step prediction function and wavelet function of the signal finishing combination of monitoring data purification treatment. Thesis using the the improved wavelet time series analysis method to establish a dynamic prediction model for time series analysis, forecasting pit state, modify the design in a timely manner, to provide technical support for the safe construction of the pit, AFP technology applied to deep freezing piles The large foundation support.

Related Dissertations

  1. Development of the Platform for Compressor Optimization Design and Aerodynamic Optimization Design in the Transonic Compressor,TH45
  2. Research on Feature Extraction and Classification of Tongue Shape and Tooth-Marked Tongue in TCM Tongue Diagnosis,TP391.41
  3. Study on Virtual Detector of Infrared Hyper-Spectral Image,TP391.41
  4. The Study and Design of High Availability Monitoring Subsystem for Fault Tolerant Computing Systems,TP311.52
  5. The Application of Fuzzy Control and Neural Network in Planar Double Inverted Pendulum,TP273.4
  6. Research on Visual Servo System of Mechanical ARM,TP242.6
  7. Design of Weapon Detection Device Control System,TP183
  8. Municipal tourism land use planning environmental impact assessment,X820.3
  9. Research on the Inteligent System of High Performance Concrete Mix Design in Zhujiang Triangle Area,TU528
  10. Study on Taste Characteristic of Taste Peptide Enzymatic Production from Oyster Base on A Neural Network Method,TS254.4
  11. Exploring the labor dispute case range,D922.5
  12. Smart Control Research in Paddy Drying Based on BP Neural Network,S226.6
  13. BP network optimization based on genetic algorithm optimization of the biodiesel process,TE667
  14. A Study on Building Remote Sensing Retrieval System for Countryside Water-Body Quality Based on ArcGIS Server,S127
  15. The Research on Evaluation of Living Status Systems of Expressway Relocated People,D523
  16. Underground Locomotive Design of the Regional Location Detection System,TD524.3
  17. Research and Application of Safety Assessment Method Based on Neural Network,X937
  18. Wireless Sensor Network Based on ZigBee Monitoring Intelligent Building Environment,TN929.5
  19. The Design of the Coal Mine’s Safety Evaluation System Based on Wavelet Neural Network,TD79
  20. Design and Implementation of 16 Bit Battery on Line Monitor Based on LPC2368,TP216
  21. Research of VRLA Battery On-line Montoring and Contorl System,TP277

CLC: > Industrial Technology > Building Science > Construction > The project and the type of work > Foundation engineering
© 2012 www.DissertationTopic.Net  Mobile