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Additively manufactured materials and structures: A state-of-the-art review on their mechanical characteristics and energy absorption
Lightweight materials and structures have been extensively studied for a wide range of
applications in design and manufacturing of more environment-friendly and more …
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
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) …
strength-to-weight ratio. The current advancement in Additive manufacturing (AM) …
Stress-based and robust topology optimization for thermoelastic multi-material periodic microstructures
To take advantage of multi-material additive manufacturing technology using mixtures of
metal alloys, a topology optimization framework is developed to synthesize high-strength …
metal alloys, a topology optimization framework is developed to synthesize high-strength …
Topology optimisation in structural steel design for additive manufacturing
Topology Optimisation is a broad concept deemed to encapsulate different processes for
computationally determining structural materials optimal layouts. Among such techniques …
computationally determining structural materials optimal layouts. Among such techniques …
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 …
Risk-averse approach for topology optimization of fail-safe structures using the level-set method
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 …
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
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 …
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 …
presence of uncertain Young's modulus modeled using discretized random fields. To …
Robust topology optimization with low rank approximation using artificial neural networks
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 …
linear elastic structures. The parametrization is considered on loading and stiffness of the …
Robust topology optimization of continuum structures under uncertain partial collapses
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 …
with the following novelties:(1) the probability for failure to occur at a specified location is …