Shaoning Li
About Shaoning Li
Shaoning Li is a PhD Intern V - Tech at FM Global and a Graduate Research Assistant at Northeastern University, with a background in Civil Engineering and Structural Engineering.
Current Position
Shaoning Li is currently serving as a PhD Intern V - Tech at FM Global. This role, which began in 2021, is located in the Greater Boston area. Shaoning Li's work in this position focuses on technological research and development within the company.
Previous Roles
Before joining FM Global, Shaoning Li worked at SOH Wind Engineering as a Graduate Research Assistant in an NSF-funded project. This role lasted for five months in 2021 and was based in Williston, Vermont. Shaoning Li has also held multiple research assistant positions at Northeastern University between 2016 and 2017, contributing to various projects in Civil Engineering with a focus on structural applications.
Education and Academic Background
Shaoning Li holds a Doctor of Philosophy (PhD) and a Master's degree in Civil Engineering - Structural from Northeastern University, completed between 2015 and 2021. Additionally, Shaoning Li earned a Bachelor's Degree in Civil Engineering from China Agricultural University, studied from 2010 to 2014. This academic foundation provided Shaoning Li with extensive knowledge and expertise in structural engineering principles and practices.
Research Projects and Analytical Framework
Shaoning Li has developed a data-driven analytical framework designed to predict the stochastic trajectory of debris under turbulent conditions. The framework is intended to enhance practical applications in structural engineering. One of Shaoning Li's notable projects includes the implementation of a wind-borne debris trajectory model and a debris scouring velocity model using MATLAB. This work specifically addresses turbulent wind fields and contributes to risk assessment and uncertainty quantification in structural engineering.
Sensitivity Analysis in Structural Engineering
Shaoning Li conducted extensive sensitivity analysis to identify critical input parameters affecting the travel distance and velocity of wind-borne debris. This analysis plays a crucial role in improving risk assessment and understanding uncertainty in structural engineering. By determining these influential parameters, Shaoning Li's work supports the development of more accurate predictive models and enhanced safety protocols in the field.