黏土中打入桩竖向承载力计算方法效果评价

发布时间：2019-06-07 19:18

【摘要】：准确预测打入桩的承载特性是一个重要的工程课题,特别是在近海工程中,如大型跨江海桥梁、风力涡轮机、港口和近海工程结构物平台等,这些重要结构物都将打入桩作为主要的基础形式,然而通过现场静载试验确定这类桩的承载力却十分有限。目前,国内外存在众多关于黏土中打入桩的竖向承载力计算方法,其中较为常用的有Furgo-96、NGI-99、ICP-05和UWA-13这4种设计方法。但将这些设计方法直接应用于工程设计和实践却仍然较少,其主要原因在于缺乏高质量的静载试验数据来评价这些设计方法的可靠性。因此,有必要搜集一个具有广泛代表性的桩基承载力静载试验数据库来客观评价上述设计方法的可靠性,用以帮助工程设计人员选择最适合的设计方法。基于这个目的,本研究在国际上一些常用数据库的基础上进行扩充整理,最终得到一个包含89根高质量打入桩静载荷试验数据的新数据库,称之为ZJU-ICL Clay数据库。采用上述4种设计方法预测ZJU-ICL Clay数据库的桩基承载力,并将预测结果与实测数据进行对比,应用统计方法,客观评价这4种方法的优缺点及可靠性。
[Abstract]:Accurate prediction of bearing characteristics of driven piles is an important engineering topic, especially in offshore projects, such as large cross-river bridges, wind turbines, ports and offshore engineering structural platforms, etc. These important structures take driving pile as the main foundation form, but the bearing capacity of this kind of pile is very limited by field static load test. At present, there are many methods for calculating the vertical bearing capacity of driven piles in clay at home and abroad, among which Furgo-96,NGI-99,ICP-05 and UWA-13 are commonly used. However, there are still few direct applications of these design methods to engineering design and practice, which is mainly due to the lack of high quality static load test data to evaluate the reliability of these design methods. Therefore, it is necessary to collect a widely representative database of static load test of pile foundation bearing capacity to objectively evaluate the reliability of the above design methods, so as to help engineering designers choose the most suitable design method. For this purpose, this study expands and arranges on the basis of some commonly used databases in the world, and finally obtains a new database containing 89 high quality driving pile static load test data, which is called ZJU-ICL Clay database. The four design methods mentioned above are used to predict the bearing capacity of pile foundation in ZJU-ICL Clay database, and the prediction results are compared with the measured data. The advantages, disadvantages and reliability of the four methods are evaluated objectively by using statistical method.
【作者单位】：浙江大学建工学院;
【基金】：国家自然科学基金项目(No.51178421,No.51322809) 国家重点基础研究发展计划(973计划)(No.2015CB057801)资助
【分类号】：TU473.1

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