Evaluation of Tip Resistance and Compression Interpretation Criteria for Drilled Shafts

碩士 === 中原大學 === 土木工程研究所 === 95 === This study is a critical evaluation of compression interpretation capacity and tip resistance for the drilled shafts under axial loading. A wide variety of compression load test data are used and these data are divided into drained and undrained databases. The geot...

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Bibliographic Details
Main Authors: Yi-Chung Fang, 方顗忠
Other Authors: Yit-Jin Chen
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/83391773544882258637
Description
Summary:碩士 === 中原大學 === 土木工程研究所 === 95 === This study is a critical evaluation of compression interpretation capacity and tip resistance for the drilled shafts under axial loading. A wide variety of compression load test data are used and these data are divided into drained and undrained databases. The geotechnical and load test parameters were evaluated using updated methods that can properly reflect the field condition under a load test. In compression interpretation capacity, representative interpretation criteria are examined to evaluate the capacity of drilled shaft foundations under axial compression loading. These selected criteria represent a distribution of interpreted results from the lower, middle, and higher ranges as found in practice. In addition, these criteria employ varied interpretation bases. The interrelationship and reliability of each interpretation model were established. In compression tip resistance, representative analytical models are examined using both measured and predicted results to evaluate the tip capacity of drilled shafts. The analytical models include bearing capacity theory, SPT-N empirical equation, and local design criteria. The suitability and required correction of tip analytical model are presented. Specific design recommendations for the use of compression interpretation and tip resistance of drilled shafts are developed and given with the appropriate statistics to describe the quality of these recommended models.