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Keynote lecture: The performance of the dynamic methods, their controlling parameters and deep foundation specifications

机译:主题演讲:动态方法的性能,控制参数和深基础规格

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An ongoing project supported by the USA National Cooperative Highway Research Program (NCHRP) under the Transportation Research Board (TRB) of the National Academy of Science (NAS), is aimed at rewriting AASHTO Deep Foundation Specifications for the year 2001. The AASHTO specifications are traditionally observed on all federally aided projects and generally viewed as a national code of US Highway practice, hence influencing the construction of all the deep foundations of highway bridges throughout the USA. The new code is based on Load and Resistance Factor Design (LRFD) principles with resistance factors obtained from probabilistic analysis of data. A large database (PD/LT2000) is the backbone of the dynamic methods' performance evaluation. This database originated with the work presented by Paikowsky et al. (1994), Paikowsky and LaBelle (1994), and additional information acquired since. A summary and careful evaluation of the large database is presented, detailing the performance of various dynamic methods when compared to static load testing to failure. The parameters that control the accuracy of the dynamic predictions are analyzed, suggesting the importance of certain mechanisms associated with the pile penetration and the dynamic simulations. The controlling parameters and the statistical analyses are then utilized for the development of resistance factors to be recommended for the new specifications.
机译:美国国家科学研究委员会(NAS)运输研究委员会(NAS)下的美国国家合作高速公路研究计划(NCHRP)提供的持续项目旨在为2001年重写AASHTO深基金规范。艾鸦规范是传统上观察到所有联邦政府援助项目,并且通常被视为美国公路实践的国家规范,因此影响了整个美国公路桥梁所有深层基础的建设。新代码基于负载和电阻因子设计(LRFD)原理,具有从数据概率分析获得的电阻因子。大型数据库(PD / LT2000)是动态方法性能评估的骨干。该数据库起源于Paikowsky等人提供的工作。 (1994),Paikowsky和Labelle(1994年),并获得了附加信息以来。介绍了大数据库的摘要和仔细评估,详细介绍了与静态负载测试相比的各种动态方法的性能。分析了控制动态预测精度的参数,表明某些机制与桩渗透和动态模拟相关的某些机制的重要性。然后利用控制参数和统计分析来开发推荐用于新规格的阻力因子。

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