Version 1
: Received: 29 July 2020 / Approved: 31 July 2020 / Online: 31 July 2020 (14:01:04 CEST)
Version 2
: Received: 25 August 2020 / Approved: 26 August 2020 / Online: 26 August 2020 (08:54:55 CEST)
How to cite:
Carmo, J. S. A. D. Physical Modelling vs. Numerical Modelling: Complementarity and Learning. Preprints2020, 2020070753. https://doi.org/10.20944/preprints202007.0753.v1
Carmo, J. S. A. D. Physical Modelling vs. Numerical Modelling: Complementarity and Learning. Preprints 2020, 2020070753. https://doi.org/10.20944/preprints202007.0753.v1
Carmo, J. S. A. D. Physical Modelling vs. Numerical Modelling: Complementarity and Learning. Preprints2020, 2020070753. https://doi.org/10.20944/preprints202007.0753.v1
APA Style
Carmo, J. S. A. D. (2020). Physical Modelling vs. Numerical Modelling: Complementarity and Learning. Preprints. https://doi.org/10.20944/preprints202007.0753.v1
Chicago/Turabian Style
Carmo, J. S. A. D. 2020 "Physical Modelling vs. Numerical Modelling: Complementarity and Learning" Preprints. https://doi.org/10.20944/preprints202007.0753.v1
Abstract
We are witnessing a progressive divestment of some institutions with strong traditions and skills in physical modelling and their consequent impoverishment, to the detriment of numerical modelling. For many reasons, the economic imperatives and the exponential growth of computational means and numerical methods should certainly not be excluded. In this work, we aimed to highlight the new requirements of the recent sophisticated developments in physical modelling, precisely due to the new needs imposed on them by mathematical and numerical modelling and the growing risks in civil construction works. In this context, reflections are reported, justified by scientific and real-world examples, on the need for maintenance and reinforcement of investments in physical modelling, both to support the scientific community and to design buildings of significant economic, social and environmental impact.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
