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Moment-Based Uncertainty Propagation Using Multivariate Polynomials: Advances in Probabilistic Engineering Design

thesis
posted on 27.08.2018, 03:53 by ARVIND RAJAN
The research embarked on an adventurous journey five years ago to synthesise a novel and effective framework for the probabilistic analyses of engineering systems. The framework took the unpopular approach of using statistical moments to enable both better accuracy and much faster computation compared to the mainstream methods. Crucial theoretical developments in mathematical statistics became the key to unlock the full potential of the moment approach; which in turn, has led to the design of more economical yet safe real-world systems across multiple engineering disciplines, especially in the mission-critical projects where reliability and safety are the principal objectives.

History

Campus location

Malaysia

Principal supervisor

Vineetha Kalavally

Additional supervisor 1

Ye Chow Kuang

Additional supervisor 2

Melanie Po-Leen Ooi

Year of Award

2018

Department, School or Centre

School of Engineering (Monash University Malaysia)

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Engineering

Exports