My Research

awardI don’t write very often about my research on this blog.  The purpose in starting the blog was desire to contribute to better public understanding of engineering in general.  However, occasionally I include material related to my research activities and you can find these posts using the tag ‘MyResearch‘. For a list of my published papers go to my profile in Google Scholar.

My research is mainly in applied mechanics across size scales from material science to structural engineering, with a focus on aerospace, biology and nuclear applications, and a particular interest in computational model credibility, fidelity and validation.

Recently, I have coordinated two European Union projects within the Horizon 2020 Clean Sky 2 initiative and, as part of their dissemination programmes, I written a series of posts on these research activities.  You can find them at DIMES [Development of Integrated MEasurement Systems] and MOTIVATE [Matrix Optimization for Testing by Integration of Virtual And Test Environments]; as well as at their websites: integratedtesting.org & engineeringvalidation.org.

FACTS [Fidelity And Credibility of Tests and Simulations] is an acronym that I have used to describe one focus of my research programme.  According to the Oxford English Dictionary, fidelity means ‘the degree of exactness with which something is copied or reproduced’ and credibility means the quality of being trusted and believed in’.  In engineering physical tests are often used to generate evidence to demonstrate the reliability of simulations.  Hence, one aspect of this research involves establishing and minimising the uncertainty associated with measurements of deformation in structural tests as well as attempting to perform these measurements in real-world conditions.  While another aspect is concentrated on utilising the measurement data in validation processes that demonstrate the fidelity of simulations and provide evidence to support the credibility of computational models. ‘Establishing FACTS’ was the title of a lecture that I gave to the local branch of the Institution of Engineering and Technology (IET) on May 30th, 2018.  The following collection of posts provides an overview of ‘FACTS’:

    1. Instructive research relevance
    2. Hierarchical modelling in engineering and biology
    3. Slow moving nanoparticles
    4. Instructive update
    5. Getting smarter
    6. Instructive report and brexit
    7. Can you trust your digital twin
    8. Coping with uncertainty
    9. Credibility is in the eye of the beholder
    10. Models as fables
    11. Recognizing strain
    12. Seeing the invisible
    13. Model credibility/