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On the use of artificial neural networks in topology optimisation
The question of how methods from the field of artificial intelligence can help improve the
conventional frameworks for topology optimisation has received increasing attention over …
conventional frameworks for topology optimisation has received increasing attention over …
Deep learning in computational mechanics: a review
The rapid growth of deep learning research, including within the field of computational
mechanics, has resulted in an extensive and diverse body of literature. To help researchers …
mechanics, has resulted in an extensive and diverse body of literature. To help researchers …
Multiscale topology optimization with stress, buckling and dynamic constraints using adaptive geometric components
This research focuses on the multiscale topology optimization (TO) of structures to meet
stress, stability, and vibration requirements. The compliance minimization problems of …
stress, stability, and vibration requirements. The compliance minimization problems of …
[PDF][PDF] Open-source codes of topology optimization: A summary for beginners to start their research
Topology optimization (TO), a numerical technique to find the optimal material layout with a
given design domain, has attracted interest from researchers in the field of structural …
given design domain, has attracted interest from researchers in the field of structural …
Supervised deep learning for the moving morphable components topology optimization framework
In the context of mechanical engineering design, the field of machine learning accelerated
topology optimization is dominated by image-based models trained in a supervised manner …
topology optimization is dominated by image-based models trained in a supervised manner …
Machine learning in biomaterials, biomechanics/mechanobiology, and biofabrication: State of the art and perspective
In the past three decades, biomedical engineering has emerged as a significant and rapidly
growing field across various disciplines. From an engineering perspective, biomaterials …
growing field across various disciplines. From an engineering perspective, biomaterials …
A comprehensive review of explicit topology optimization based on moving morphable components (MMC) method
Z Li, H Xu, S Zhang - Archives of Computational Methods in Engineering, 2024 - Springer
Explicit topology optimization method is attracting more and more attention in recent years
due to its obvious advantages. Among them, the most vigorous explicit topology optimization …
due to its obvious advantages. Among them, the most vigorous explicit topology optimization …
A machine-learning framework for isogeometric topology optimization
Isogeometric analysis has been widely applied in topology optimization in recent years, and
various methods have been derived. However, most methods are accompanied by …
various methods have been derived. However, most methods are accompanied by …
A Fourier neural operator-based lightweight machine learning framework for topology optimization
The combination of machine learning and topology optimization has preliminarily mitigated
the enormous computational costs incurred during optimization processes. Its powerful …
the enormous computational costs incurred during optimization processes. Its powerful …
IF-TONIR: Iteration-free topology optimization based on implicit neural representations
Topology optimization holds great significance as a research topic in the field of mechanical
engineering, aiming to design and optimize structures to achieve desired performance while …
engineering, aiming to design and optimize structures to achieve desired performance while …