[HTML][HTML] Survey of finite element method-based real-time simulations

D Marinkovic, M Zehn - Applied Sciences, 2019 - mdpi.com
The finite element method (FEM) has deservedly gained the reputation of the most powerful,
highly efficient, and versatile numerical method in the field of structural analysis. Though …

Estimation of fractal representation of wind speed fluctuation by artificial neural network with different training algorothms

D Petković, V Nikolić, VV Mitić, L Kocić - Flow Measurement and …, 2017 - Elsevier
Since the wind speed fluctuation could cause large instability in wind energy systems it is
crucial to develop a method for precise estimation of the wind speed fluctuation. Fractal …

Evolutionary optimization of Colebrook's turbulent flow friction approximations

D Brkić, Ž Ćojbašić - Fluids, 2017 - mdpi.com
This paper presents evolutionary optimization of explicit approximations of the empirical
Colebrook's equation that is used for the calculation of the turbulent friction factor (λ), ie, for …

Intelligent flow friction estimation

D Brkić, Ž Ćojbašić - Computational intelligence and …, 2016 - Wiley Online Library
Nowadays, the Colebrook equation is used as a mostly accepted relation for the calculation
of fluid flow friction factor. However, the Colebrook equation is implicit with respect to the …

Exploring a design space of shell and tensile structures generated by AI from historical precedents

G Mirra, A Pugnale - Journal of the International Association for …, 2022 - ingentaconnect.com
This paper presents the development and application of a computational design tool that
can be used to explore an AI-generated design space for the conceptual design of shell and …

Development of a design tool for the horizontal stabilizer of a helicopter using artificial neural networks

E Duzcu, B Yıldırım - Neural Computing and Applications, 2024 - Springer
The design of a helicopter is an intricate and challenging process. Decisions made during
the preliminary design phase can significantly impact subsequent design stages, making it …

Model reduction and submodelling using neural networks.

A Koeppe, F Bamer, B Markert - PAMM: Proceedings in …, 2016 - search.ebscohost.com
Model reduction and submodelling using neural networks Page 1 PAMM · Proc. Appl. Math.
Mech. 16, 537 – 538 (2016) / DOI 10.1002/pamm.201610257 Model reduction and …

Towards real-time simulation of deformable structures by means of co-rotational finite element formulation

D Marinkovic, M Zehn, G Rama - Meccanica, 2018 - Springer
Abstract Whereas typical Finite Element (FE) computations are performed off-line, many
virtual-reality (VR) applications put a demand for interactive simulations involving …

Novel smart and compliant robotic gripper: Design, modelling, experiments and control

A Milojević, M Tomić, H Handroos… - IEEE EUROCON 2019 …, 2019 - ieeexplore.ieee.org
This paper presents a further investigation of a novel adaptive soft robotic gripper with
integrated active elements, ie sensors and actuators. In many contemporary robotic …

Automotive applications of evolving Takagi-Sugeno-Kang fuzzy models

RE Precup, S Preitl, CA Bojan-Dragos… - Facta Universitatis …, 2017 - casopisi.junis.ni.ac.rs
This paper presents theoretical and application results concerning the development of
evolving Takagi-Sugeno-Kang fuzzy models for two dynamic systems, which will be viewed …