Discrete fiber models beyond classical applications

Delft University of Technology

Discrete fiber models beyond classical applications

Rigid line inclusions, fiber-based batteries, challenges

Goudarzi, M. (2020). Discrete fiber models beyond classical applications: Rigid line inclusions, fiber-based batteries, challenges. https://doi.org/10.4233/uuid:4741efe6-9a5e-4782-8cef-6d7ed83a3b30

Important note

To cite this publication, please use the final published version (if applicable). Please check the document version above.

Copyright

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons. Takedown policy

Please contact us and provide details if you believe this document breaches copyrights. We will remove access to the work immediately and investigate your claim.

This work is downloaded from Delft University of Technology.

Propositions

Discrete fiber models beyond classical applications

Rigid line inclusions, fiber-based batteries, challenges by

Mohsen Goudarzi

1. The effect of reinforcements on a composite response may be positive, negative or null. Traditional analytical micromechanical models only predict positive effects.

2. Direct finite element simulations are the most accurate for composite modeling, but are the most expensive as well. Instead of discarding them, focus should be on how to make them more viable.

3. In developing a numerical model, it is impossible to have breakthrough without sacrificing some aspects. If something seems too good to be true, it usually is. 4. A perfect journal paper does not exist; it can be only approached up to a certain threshold. Efforts to make improvements beyond this threshold grow exponentially and the outcome is invisible to the average reader.

5. The recent tremendous growth in the number of published papers in engineer-ing science is alarmengineer-ing. A reason can be regulations that categorize researchers by a number, rather than by their actual impact. Funding agencies, universi-ties and supervisors should change their perception in this regard.

6. At prototype or research level, simplicity is the most important asset. Im-plementing a novel computational method may take weeks in C++, but only hours in Matlab. In the latter case, if used properly, computational costs can remain very low.

7. A scientific work should ideally reflect opinions of all contributors. A unilateral view can maybe enhance readability and improve the quality, but is never authentic.

8. In a fair situation, researchers should be the copyright owner of their published papers.

"Academic publishing is the perfect business model to make a lot of money. You have the producer and consumer as the same person: the researcher. And the researcher has no idea how much anything costs."

Brian Nosek, professor at the University of Virginia and director of the Center for Open Science.

These propositions are regarded as opposable and defendable, and have been approved as such by promotors Prof. dr. ir. L. J. Sluys and Prof. dr. ir. A. Simone.