Driven high capacity H-piles in Hong Kong saprolites: A reliability evaluation of two methods

Author:

Lo S. R.12,Li K. S.12,Lam J.12

Affiliation:

1. School of Aerospace, Civil and Mechanical Engineering, University of New South Wales at ADFA, Canberra, ACT2600, Australia.

2. The University of Hong Kong and Victor Li & Associates Ltd, Hong Kong. Room 1103, Kowloon Investment Co. Ltd. Bldg, 2-12 Bute Street, Kowloon, Hong Kong.

Abstract

A database for high capacity driven H-piles in Hong Kong saprolites was established so that predicted pile capacities could be compared to values measured by maintained load tests. This gave the statistical attributes that were needed for reliability analyses. Two prediction methods based on set value and dynamic measurements were examined. The uncertainty of a prediction method is characterized by a bias factor. The coefficients of variation of bias factors for both prediction methods are small in the context of geotechnical engineering. A simplified reliability analysis was conducted using the statistical attributes of the database. This enabled an objective assessment of the two prediction methods. Both prediction methods perform equally well relative to the current Hong Kong practice of targetting an overall safety factor of two on geotechnical capacity. The reliability index achieved by current Hong Kong practice for high capacity driven H-piles is in excess of three.

Publisher

Canadian Science Publishing

Subject

Civil and Structural Engineering,Geotechnical Engineering and Engineering Geology

Reference17 articles.

1. Ang, A.H.S., and Tang, W.H. 1975. Probabilistic concepts in engineering planning and design. John Wiley & Sons, N.Y.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3