Statistical Models for Identification of Problematic Bridge Sites and Estimation of Approach Settlements

Details

• Creators:
  Zaman, Musharraf ; Laguros, J. G. ; Jha, R K
• Corporate Creators:
  University of Oklahoma. School of Civil Engineering and Environmental Science
• Corporate Contributors:
  Oklahoma. Department of Transportation. Research & Development Division ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  Bridge Approaches Embankments Field Studies Forecasting Foundations Linear Regression Analysis
• Publication/ Report Number:
  FHWA/OK 94°(02)
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  Oklahoma. Department of Transportation
• Abstract:
  The primary goal of this study was to develop statistical models for the quantitative characterization of the bridge approach settlement. The main objectives of developing such models are (i) to predict approach settlement at a bridge site, (ii) to identify problematic bridge sites, and (iii) to examine the relative significance of various causative factors contributing to bridge approach settlement. Both linear and nonlinear regression analyses were performed on the data obtained from level one and level two surveys, whereby relative significance of various causative factors was examined and subsequently models were developed based on the significant causative factors. Laboratory test results are not incorporated in the current analysis, rather data collected from field tests are exclusively utilized in developing the statistical models. Moreover, the regression analyses are restricted to the use of quantitative variables (causative factors) only. The report is presented in six chapters. Chapter I provides an introduction. A detailed description of data pertaining to the total settlement and its various causative factors, the process of acquisition, and the limitations of these data are presented in Chapter II. Chapter III deals with an overview of the multiple regression models and the various statistics used in connection with the model building. A brief description of the various statistical analysis procedures is also presented in Chapter III. A linear multiple regression model developed to predict the bridge approach settlement is presented in Chapter IV, while Chapter V gives an account of various nonlinear models, including the "field test" model, which best represent the data set under consideration. The conclusions and recommendations for further study are presented in Chapter VI.
• Format:
  PDF
• Funding:
  2188
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:7dd40f90c411b3095cef996b43d5b3e6d7b05a0e3dff51b36cff351abbbb6d6d1403b8f9fea842761319df1e31d0c02d41e06778055131e0a03b52aac6456ead
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/89175/dot_89175_DS1.pdf
• File Type:
  [PDF - 13.85 MB ]