Soil-Structure Interaction under Environmentally Induced Cyclic Loading

环境引起的循环荷载下的土-结构相互作用

• 批准号: RGPIN-2015-06062
• 负责人: Newson, Timothy
• 金额: $ 1.82万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=681152
• 关键词: Soil; Structure; Interaction; under; Environmentally

The majority of geotechnical structures will be subjected to environmentally induced cyclic loads during their life-spans. These cyclic loads can be from a variety of sources, e.g. traffic, machines, wind and waves, construction or earthquakes. Repeated loading can range from a large number of high-probability cycles with relatively small amplitude, to a small number of low-probability cycles with relatively large amplitude. The cyclic loading will commonly be multi-axial and have a loading-time history that is irregular, with amplitude and frequency changes from cycle to cycle. This loading can lead to the accumulation of residual strains and stress changes that affect the performance or stability of the structure. Models for predicting the effects of random cyclic loading on geotechnical structures are relatively crude and are generally based on limited field and scaled model studies. Hence, more research is needed to address different aspects of random cyclic loads induced from environmental sources (e.g. wind, sea-waves and earthquakes) and provide understanding for better predictive design tools for geotechnical structures.***The aim of this project will be the investigation of the soil-structure behavior of two types of geotechnical structure: namely, foundations and pipelines, when subjected to complex combinations of vertical, horizontal and moment loads under random variable amplitude cyclic conditions. Cyclic predictive models will be validated and calibrated for predicting the behavior of these geotechnical structures, supported by data from field testing, scaled physical model testing and computer analysis. Appropriate loading and response time-histories for typical random environmental processes will be used in the development of these predictive methods. Understanding of the behavior of these geotechnical systems under cyclic environmental loading and optimization of analytical methods will provide improvements in design and prediction of their behavior. Over the funding period, data and knowledge accrued from the research will be utilized by engineers working in construction, geosciences, energy and the offshore industry. The proposed infrastructure will enable the creation of: (i) knowledge of structures and geotechnical processes, (ii) databases of field-scale behavior, (iii) design and construction information and (iv) data for numerical and analytical method validation. The primary sectors of application impacted by this work will be the wind energy, and oil and gas industries. **

大多数岩土结构将在其寿命期间受到环境引起的循环载荷。这些循环负载可以来自多种来源，例如交通，机器，风和波浪，建筑或地震。重复负载的范围从具有相对较小的放大器的大量高概率循环到相对较大的放大器的少量低概率循环。循环载荷通常是多轴的，并且具有不规则的加载时间病史，并且随循环到周期的变化，放大器和频率变化。这种负载会导致残留菌株的积累和应力变化，从而影响结构的性能或稳定性。预测随机循环载荷对岩土结构的影响的模型通常是粗略的，通常基于有限的场和缩放模型研究。因此，需要进行更多的研究来解决从环境来源引起的随机循环载荷的不同方面（例如，风，海浪和地震），并为岩土技术结构提供更好的预测设计工具，以提供理解。在随机变量放大器环境下。循环预测模型将得到验证和校准，以预测这些岩土结构的行为，并受到现场测试，缩放物理模型测试和计算机分析的数据的支持。这些预测方法的开发将使用适当的典型随机环境过程中的适当加载和响应时间历史。了解这些岩土技术系统在循环环境负载和分析方法优化下的行为将提供改进的设计和预测其行为。在资金期间，从研究，地球科学，能源和海上行业的工程师将利用从研究中收到的数据和知识。所提出的基础架构将实现：（i）结构和岩土工艺的知识，（ii）现场尺度行为的数据库，（iii）设计和施工信息以及（iv）数值和分析方法验证的数据。受这项工作影响的应用程序的主要部门将是风能以及石油和天然气行业。 **