Mr Josh Hoole
PhD, MEng
Expertise
Development of data-driven statistical simulations to support engineering design and assessment. A background in probabilistic approaches in aerospace structural design which is now being extended to include electric propulsion.
Current positions
Research Associate
Department of Electrical & Electronic Engineering
Contact
Media contact
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Biography
Following the completion of an Aerospace Engineering (MEng) degree at the University of Bristol, I conducted a PhD within the Aerospace Engineering department focusing on the development and application of probabilistic methods for the fatigue analysis of safety-critical aerospace components. Currently, I am performing probabilistic-focused research within the Electrical Energy Management Group (EEMG). Going forward, I have a specific interest in researching how novel data sources, data analytics and probabilsitic/statistical simulation can be better integrated into industrial environments and design processes.
Research interests
Probabilistic design, statistical simulation, landing gear design, electric propulsion.
Positions
University of Bristol positions
Research Associate
Department of Electrical & Electronic Engineering
Publications
Recent publications
01/01/2022Probabilistic Methods for Engineering Problems
Probabilistic Methods for Engineering Problems
Comparison of Surrogate Modeling Methods for Finite Element Analysis of Landing Gear Loads
AIAA SciTech 2020 Forum
Systematic statistical characterisation of stress-life datasets using 3-Parameter distributions
International Journal of Fatigue
A Framework to Implement Probabilistic Fatigue Design of Safe-Life Components
ICAF 2019 - Structural Integrity in the Age of Additive Manufacturing
Probability Distribution Type for the Accumulated Damage from Miner's Rule in Fatigue Design
Mechanical Fatigue of Metals
Thesis
Probabilistic Fatigue Methodology for Aircraft Landing Gear
Supervisors
Award date
23/06/2020