Determining the uncertainty associated with the parameters of sensitive clay for geotechnical risk analysis

Saguenay Lac Saint-Jean（SLSJ）区域被松散的第四纪 ** 粘土地层覆盖，包括块状和层状粘土。这些粘土沉积物被归类为敏感性粘土，这种敏感性粘土的存在会导致运输中粘土液化、斜坡和基础不稳定等问题。与粘土物理和机械参数相关的不确定性在确定其行为方面发挥着重要作用，用于风险相关的岩土工程和土木工程设计目的。因此，本研究的目的是量化SLSJ地区粘土沉积物的每个物理和 ** 力学参数相关的不确定性，并评估粘土的岩土工程 ** 不确定性对138号公路项目等地区基础设计承载力状态的影响。**因此，数据库包括魁北克大学 ** 奇库蒂米分校（UQAC）过去7年来进行的实验室测试结果，以及MTQ数据库 ** 中现有测试的结果。将对该区域几个地点的粘土样品进行更多的实验室测试，以 ** 获得更多的数据。将对所有可用数据进行一系列统计分析，以确定 ** 每个物理和机械参数的最适当统计分布，并量化与每个参数相关的 ** 不确定性。还将对数据进行回归分析，以 ** 突出物理和机械参数之间可能的相互关系。本研究的结果将提供 ** 概率岩土工程风险分析，以提高设计和规划目的的安全水平。**此外，该项目的结果将使公司能够估计SLSJ地区不同 ** 位置的粘土特性，以便更好地为项目做准备，并更好地预测项目生命周期内可能出现的 ** 问题。

The Saguenay Lac Saint-Jean (SLSJ) region is covered by the stratigraphy of the unconsolidated Quaternary**clay consist of both massive and stratified clay. These clay deposits are classified as sensitive and the presence**of this sensitive clay can cause problems such as, liquefaction of clay in transportation, slopes and foundations**instabilities and etc. The uncertainties associated to the clay's physical and mechanical parameters, play a**significant role in defining its behavior for risk-related geotechnical and civil engineering design purposes.**Therefore, the aim of this study is to quantify the uncertainties associated to each of the physical and**mechanical parameters of the clay deposits at SLSJ region and evaluate the effect of clay's geotechnical**uncertainties on the state of bearing capacity of foundations design in regions like the road 138 project.**Accordingly, a database consists of the results of the laboratory tests conducted at the Université du Québec à**Chicoutimi (UQAC) since the past 7 years, as well as the results of existing tests at the MTQ database would**be used. Additional laboratory tests will be conducted on clay samples from several locations in the region to**obtain additional data. A series of statistical analysis will be carried out on all the available data to determine**the most appropriate statistical distributions for each physical and mechanical parameter, and to quantify the**uncertainties associated to each of the parameters. Regression analysis would also be applied to the data to**highlight possible correlations of physical and mechanical parameters. The results of this study will provide a**probabilistic geotechnical risk analysis to improve the level of safety for design and planning purposes.**Moreover, the results of this project will enable the company to estimate the characteristics of clays at different**locations at the SLSJ region to achieve a better preparation for the projects and better anticipation of the**probable problems during the life time of projects.