GA-Based Design Method for Driven Piles in Alberta

本研究旨在利用遗传算法（GA），一种机器学习技术，开发一种新的阿尔伯塔土壤中打入桩的设计方法。桩基础经常用于支撑加拿大各地的新结构或升级现有基础设施。由于设计和施工过程中存在许多不确定性和变量，现有的设计方法存在许多不一致之处。基于阿尔伯塔100多个PDA载荷试验数据库，本研究将使用GA将桩阻力与土参数相关联，并开发基于可靠度的GA设计方法用于阿尔伯塔土中的打入桩。该项目有助于支持阿尔伯塔省具有成本效益的基础设施发展。这个项目将至关重要地涉及高素质人才的培训，以解决真实的工程问题。

This proposed research is to develop a new design method for driven piles in Alberta soils using the Genetic Algorithm (GA), a machine learning technique. Pile foundations are frequently used to support new structures or upgrade existing infrastructure throughout Canada. There are many inconsistencies in existing design methods due to many uncertainties and variables involved in the design and construction. Based on a database of more than 100 PDA load tests collected in Alberta, this study will correlate the pile resistances with soil parameters using GA and develop a reliability-based GA design method for driven piles in Alberta soils. This project helps support cost-effective infrastructure developments in Alberta. This project will crucially involve the training of highly qualified personnel to solve real engineering problems.