Thesis (M. Sc.)--University of Hong Kong, 2003.

Thesis (M.Phil.)--Hong Kong University of Science and Technology, 2006. / Includes bibliographical references (leaves 198-206). Also available in electronic version.

Thesis (Ph.D.)--Hong Kong University of Science and Technology, 2006. / Includes bibliographical references (leaves 306-318). Also available in electronic version.

Thesis (M.S.) in Civil Engineering--University of Maine, 2004. / Includes vita. Includes bibliographical references (leaves 161-166).

Thesis (M.Phil.)--Hong Kong University of Science and Technology, 2006. / Includes bibliographical references (leaves 156-168). Also available in electronic version.

Thesis (M.Phil.)--Hong Kong University of Science and Technology, 2007. / Includes bibliographical references (leaves 201-210). Also available in electronic version.

The prediction of axial and lateral pile behaviour is a complex engineering problem. Traditional methods of data collection and subsequent analyses are frequently in error when compared to full-scale, load tests. In-situ testing, using advanced electronic tools, provides a means by which representative field data may be obtained. This study investigates the use of such in-situ data in predicting axially loaded pile capacity and laterally loaded pile load-deflection behaviour. A total of twelve static axial pile capacity methods were evaluated to predict the results obtained from eight full-scale pile load tests on six different piles. These methods, separated into direct and indirect classes, used data obtained from the cone penetration test. Extensive use of commercially available microcomputer software significantly simplified the analyses. In addition, several dynamic pile capacity predictions are presented including results from in-situ dynamic measurements obtained with a pile driving analyzer during pile emplacement. An attempt has been made, with the use of tell-tales, to differentiate the shaft resistance and end-bearing components of the load test results. These results are then compared to the prediction methods investigated. Two methods of predicting lateral load-deflection behaviour using in-situ data have been investigated. One method uses pressuremeter test data and the other, a new method proposed in this study, uses full-displacement flat plate dilatometer test data. These predictions are compared with full-scale lateral load tests on three piles of differing size. In both the axial and lateral load cases, the preferred method(s) of analyses are identified. It is shown that excellent agreement can be obtained for predicting measured pile behaviour using several methods. The limitations of this study are noted, and recommendations for further research are proposed. / Applied Science, Faculty of / Civil Engineering, Department of / Graduate

The prediction of P-Y curves for undrained clay and sand based on the results of finite element analyses is presented in this thesis. A higher-ordered finite element program was used in the analyses. The ability of the program to accurately model the undrained soil condition was verified by comparing predicted load-deflection responses with closed form solutions for the cylindrical cavity expansion problem. Pressuremeter curves were predicted from plane strain axisymmetric finite element analyses. The effect of pressuremeter size on the predicted results was examined. P-Y curves were predicted for plane strain and plane stress conditions. Values for the initial slope and Pun- of the curves were obtained. The curves were normalized for comparison, and simplified methods presented for determining P-Y curves. Finite element predictions for the pressuremeter and laterally loaded pile problems were also compared. Factors were determined from these comparisons to generate P-Y curves from pressuremeter curves. / Applied Science, Faculty of / Civil Engineering, Department of / Graduate

published_or_final_version / abstract / Civil Engineering / Doctoral / Doctor of Philosophy

published_or_final_version / Applied Geosciences / Master / Master of Science