Additively manufactured materials and structures: A state-of-the-art review on their mechanical characteristics and energy absorption

Y Wu, J Fang, C Wu, C Li, G Sun, Q Li - International Journal of Mechanical …, 2023 - Elsevier
Lightweight materials and structures have been extensively studied for a wide range of
applications in design and manufacturing of more environment-friendly and more …

[HTML][HTML] A systematic review of design for additive manufacturing of aerospace lattice structures: Current trends and future directions

N Khan, A Riccio - Progress in Aerospace Sciences, 2024 - Elsevier
Lattice structures, produced by repeated unit cells in the particular pattern, offer a high
strength-to-weight ratio. The current advancement in Additive manufacturing (AM) …

Stress-based and robust topology optimization for thermoelastic multi-material periodic microstructures

L Alacoque, RT Watkins, AY Tamijani - Computer Methods in Applied …, 2021 - Elsevier
To take advantage of multi-material additive manufacturing technology using mixtures of
metal alloys, a topology optimization framework is developed to synthesize high-strength …

Topology optimisation in structural steel design for additive manufacturing

TP Ribeiro, LFA Bernardo, JMA Andrade - Applied Sciences, 2021 - mdpi.com
Topology Optimisation is a broad concept deemed to encapsulate different processes for
computationally determining structural materials optimal layouts. Among such techniques …

Machine learning in biomaterials, biomechanics/mechanobiology, and biofabrication: State of the art and perspective

C Wu, Y Xu, J Fang, Q Li - Archives of Computational Methods in …, 2024 - Springer
In the past three decades, biomedical engineering has emerged as a significant and rapidly
growing field across various disciplines. From an engineering perspective, biomaterials …

Risk-averse approach for topology optimization of fail-safe structures using the level-set method

J Martínez-Frutos, R Ortigosa - Computational Mechanics, 2021 - Springer
This paper presents a risk-averse approach in the context of fail-safe topology optimization.
The main novelty is the minimization of two risk functions quantifying the costs inherent to …

Stress-based topology optimization under uncertainty via simulation-based Gaussian process

V Keshavarzzadeh, RM Kirby, A Narayan - Computer Methods in Applied …, 2020 - Elsevier
Gaussian processes (GP) form a well-established predictive tool which provides a natural
platform for tackling high-dimensional random input data in challenging simulations. This …

Random matrix theory for robust topology optimization with material uncertainty

L Li, CA Steeves - Structural and Multidisciplinary Optimization, 2023 - Springer
This paper presents an efficient computational method for optimal structural design in the
presence of uncertain Young's modulus modeled using discretized random fields. To …

Robust topology optimization with low rank approximation using artificial neural networks

V Keshavarzzadeh, RM Kirby, A Narayan - Computational Mechanics, 2021 - Springer
We present a low rank approximation approach for topology optimization of parametrized
linear elastic structures. The parametrization is considered on loading and stiffness of the …

Robust topology optimization of continuum structures under uncertain partial collapses

J Martínez-Frutos, R Ortigosa - Computers & Structures, 2021 - Elsevier
This paper presents a novel probabilistic approach for fail-safe robust topology optimization
with the following novelties:(1) the probability for failure to occur at a specified location is …