This site is dedicated to the promotion of new computational paradigms which contrast with the pursuit of optimality in CAE. In the recent years, thanks to the availability of low-cost and high-performance computers, optimisation has flourished. However, optimal designs are fragile and therefore not very healthy. This fragility is a reflection of the fact that optimal systems are minimum-entropy systems. What is overlooked by those who practise optimisation is that specialization in a world governed by uncertainty, chaos and complexity is reflected in the system’s inability to respond correctly to changes in its environment. The reason for this is the ubiquitous uncertainty which manifests itself at all scales in Nature. It is precisely the interplay of uncertainty and the increasing complexity of the systems that engineers conceive that elevates their levels of fragility and vulnerability. What should be pursued in CAE is not precision, accuracy and optimality but realism. If engineers are willing to trade millions of finite elements and exotic numerical procedures for physics, CAE will not only help build systems faster and better, it will also regain its credibility. Perfection is something that does not belong to this Universe. Corruptio optimi pessima. Fortuna imperatrix mundi.


A response surface stands to a meta-model like a flat Byzantian painting stands to a Renaissaince masterpiece. The inclusion of uncertainty in CAE will enable to transition from trivial deterministic emulation to realistic simulation. Isn’t it true that omnis ars imitatio est naturae?
 
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