大西洋外大陆架OCS沉积物的土壤分类及预固结应力评价

X. Long, G. Tucker, P. Gibbs, Z. Westgate, Alberto Díaz, A. Senanayake
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引用次数: 1

摘要

岩土工程场地表征过程通常从评估土壤岩性、原位应力状态和地层的静地应力历史开始,其中包括土壤类型的识别和预固结或有效屈服应力的评估。预固结应力被定义为过去施加在土壤上的最大物理和/或机械应力,代表了正常固结(NC)和超固结(OC)状态之间的界限。本文基于实验室测风仪测试数据和锥贯试验(CPTu)数据,对海上可再生风力发电机基础影响区内大西洋外大陆架(OCS)沉积物的预固结应力进行了评估。大西洋OCS沉积物包括粘土、砂和粉砂的复杂分层,使用物理(纹理)特征进行分类,包括视觉描述、粒度分布、基于土壤塑性或基于CPTu数据的土壤行为类型(SBT)图表。比较和描述了SBT图、统一土壤分类系统(USCS)和ISO标准14688-2(2018)对各种OCS沉积物类型的土壤分类。预测预固结应力比较了几种常用的工业方法,并在土壤类型、矿物学和微观结构的背景下讨论了预测精度。提供了关于适当的现场调查(SI)技术的指导,以便对这些有影响的特性进行表征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Soil Classification and Evaluation of Preconsolidation Stress of Atlantic Outer Continental Shelf OCS Sediments from Oedometer and Cone Penetration Testing
The geotechnical site characterization process typically begins with an assessment of the soil lithology, the in situ stress state, and the geostatic stress history of the formation, which involves identification of soil types and an evaluation of the preconsolidation, or effective yield, stress. The preconsolidation stress is defined as the maximum past stress physically and/or mechanically applied to the soil, representing the demarcation between normally consolidated (NC) and overconsolidated (OC) states. This paper presents an assessment of the preconsolidation stress of Atlantic Outer Continental Shelf (OCS) sediments within the zone of influence for offshore renewable wind turbine foundations, based on laboratory oedometer test data and cone penetration test (CPTu) data. Atlantic OCS sediments comprise a complex layering of clays, sands, and silts, classified using physical (textural) characteristics, including visual description, grain size distribution, and soil plasticity-based or CPTu data-based soil behavior type (SBT) charts. Soil classification for a variety of OCS sediment types from SBT charts, the Unified Soil Classification System (USCS), and ISO standard 14688-2 (2018) is compared and described. Predicted preconsolidation stresses are compared across several commonly used industry methods, and prediction accuracies are discussed in the context of soil type, minerology, and microstructure. Guidance is provided on appropriate site investigation (SI) techniques to allow characterization of these influential properties.
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