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Effects of sample and boundary imperfections on calibration of monotonic and cyclic constitutive models in sand

样品和边界缺陷对砂中单调和循环本构模型校准的影响

基本信息

批准号：
529393-2018
负责人：
Ghafghazi, Mohsen
金额：
$ 1.82万
依托单位：
University of Toronto
依托单位国家：
加拿大
项目类别：
Engage Grants Program
财政年份：
2018
资助国家：
加拿大
起止时间：
2018-01-01 至 2019-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=651755
关键词：
Effects sample boundary imperfections calibration

项目摘要

Like many other fields of science and engineering, geotechnical engineers use laboratory testing to determine**the engineering properties of soils, so foundations, dams, tunnels and other structures can be designed and**constructed with, in, or on soils. Like all other laboratory tests, these tests have shortcomings, specifically in**the way boundaries of specimens interact with the soil and how this interaction affects the results.**However, all geotechnical engineering practice has assumed these tests are perfect in their boundary conditions.**Imperfections of specimens, such as non-uniformities, have been recognized but the solution has always been a**race towards creating ever more uniform specimens. Nobody knows how uniform is uniform enough, or has**quantified the effects of non-uniformity, or boundary conditions on the results.**This research will use analytical tools to estimate the effects of these non-perfections on the parameters**obtained from these tests, and will produce computational tools that account for the effects of these**imperfections on models that engineers create for design. The work is supported by RocScience, a Canadian**software company, giving them an advantage over other geotechnical engineering software companies that still**assume their input data come from perfect laboratory tests.

与许多其他科学和工程领域一样，岩土工程师使用实验室测试来确定**土壤的工程性质，因此基础、大坝、隧道和其他结构可以设计和**在土壤中或土壤上建造。与所有其他实验室测试一样，这些测试也有缺陷，特别是在**试件与土壤的边界相互作用的方式以及这种相互作用如何影响结果方面。**然而，所有岩土工程实践都假设这些测试的边界条件是完美的。**试件的缺陷，如不均匀，已经被认识到，但解决方案一直是**创造更均匀的试件。没有人知道均匀程度如何，也没有人**量化了不均匀或边界条件对结果的影响。**这项研究将使用分析工具来估计这些不完美对从这些测试中获得的参数**的影响，并将产生计算工具来解释这些**不完美对工程师为设计创建的模型的影响。这项工作得到了加拿大软件公司RocScience的支持，这使他们比其他岩土工程软件公司更具优势，这些公司仍然**假设他们的输入数据来自完美的实验室测试。