Statistical Representation Methods of Ground Data
지반조사 데이터의 통계처리기법
- Lee, Kyu-Hwan (Department of Civil System Engineering, Konyang University) ;
- Yoon, Gil-Lim (Coastal Zone Development Research Lab, Korea, Ocean Research & Development Institute)
- Published : 2008.10.10
Ground investigation data to be used as a basis for geotechnical analysis and foundation design are usually troubled with large uncertainty, due to natural variability and limited number of data. Statistical methods can be a rational tool for handling such uncertain ground data, in particular with a view to the selection of characteristic values for estimating ground design parameters used in design. The characteristic values of soil properties for use in geotechnical design have oftenly based on not only a subjective judgment but also engineer's past acumulated experience. This paper discussed some statistical methods which can handle such intrinsic ground uncertainty data with a case design in a rational manner.