Event Title

Survival Analysis for Fatigue Reliability Assessments

Presenter Information

Jason Steffke

Mentor 1

Habib Tabatabai

Location

Union Wisconsin Room

Start Date

27-4-2018 1:00 PM

Description

This research seeks to determine the remaining service life of a bridge or steel member under fatigue loading. The fatigue of engineering materials under repetitive loading affects the durability and design of components and systems in a wide range of engineering-related applications including civil, mechanical, aerospace, automotive and electronics. This is important because fatigue failure is one of the most common types of failures in steel structures. These failures can have catastrophic results and have been estimated to cost the US over $100 billion annually. This research employs a probabilistic approach to fatigue life that utilizes survival analysis, reliability of structures and influencing factors such as stress state, stress range or peak stress, surface conditions, temperature and environmental exposure. Using this probabilistic approach, the research seeks to systematically address all of the factors that contribute to fatigue on a single mathematical platform. This includes using advanced analysis techniques developed for and used in medical research and utilizing these techniques for engineering applications. This research will use these techniques to address the remaining service life and load sequence effects in a probabilistic manner. The research aims to develop, apply and verify survival analysis techniques to the engineering fatigue problem associated with cyclic loading of a wide variety of engineering components.

This document is currently not available here.

Share

COinS
 
Apr 27th, 1:00 PM

Survival Analysis for Fatigue Reliability Assessments

Union Wisconsin Room

This research seeks to determine the remaining service life of a bridge or steel member under fatigue loading. The fatigue of engineering materials under repetitive loading affects the durability and design of components and systems in a wide range of engineering-related applications including civil, mechanical, aerospace, automotive and electronics. This is important because fatigue failure is one of the most common types of failures in steel structures. These failures can have catastrophic results and have been estimated to cost the US over $100 billion annually. This research employs a probabilistic approach to fatigue life that utilizes survival analysis, reliability of structures and influencing factors such as stress state, stress range or peak stress, surface conditions, temperature and environmental exposure. Using this probabilistic approach, the research seeks to systematically address all of the factors that contribute to fatigue on a single mathematical platform. This includes using advanced analysis techniques developed for and used in medical research and utilizing these techniques for engineering applications. This research will use these techniques to address the remaining service life and load sequence effects in a probabilistic manner. The research aims to develop, apply and verify survival analysis techniques to the engineering fatigue problem associated with cyclic loading of a wide variety of engineering components.