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Eigenvalue topology optimization via efficient multilevel solution of the frequency response

Federico Ferrari, Boyan S. Lazarov, Ole Sigmund
2018 International Journal for Numerical Methods in Engineering  
The authors are grateful to Prof. Niels Aage and Prof. Oded Amir, for having provided the 3D topology optimization code [33] .  ...  The first author wishes to thank Jeroen Peter Groen for fruitful discussions on the topic.  ...  Formulation of the two optimization problems Let us refer to the cantilever depicted in Figure 1 (a), modeled with plane stress assumptions.  ... 
doi:10.1002/nme.5829 fatcat:xj2u73gfajgzdavbgmktt33vda

Deep Generative Models in Engineering Design: A Review [article]

Lyle Regenwetter, Amin Heyrani Nobari, Faez Ahmed
2022 arXiv   pre-print
We present a review and analysis of Deep Generative Machine Learning models in engineering design.  ...  Deep Generative Models (DGMs) typically leverage deep networks to learn from an input dataset and synthesize new designs.  ...  stress) as input to the generator.  ... 
arXiv:2110.10863v4 fatcat:zc4mo4nwzjdlne5jbvaetyugxy

Mesh-Free Surrogate Models for Structural Mechanic FEM Simulation: A Comparative Study of Approaches

Johannes G. Hoffer, Bernhard C. Geiger, Patrick Ofner, Roman Kern
2021 Applied Sciences  
Surrogate modeling provides a robust approach to address this drawback.  ...  In this paper, we discuss and compare several classes of mesh-free surrogate models based on traditional and thriving machine learning (ML) and deep learning (DL) methods.  ...  [6] explore generalizable surrogate models for 3D trusses, using MLP and FEM training data. Chan et al.  ... 
doi:10.3390/app11209411 fatcat:3n5pochq2rc6pll3nkktzv2l5i

Reduced-order process-aware design of multiscale structures with architected materials

Conner Terry Sharpe, Austin, The University Of Texas At, Carolyn Seepersad
This work seeks to alleviate these concerns by decoupling the design process across hierarchical length scales and developing surrogate models that can link these scales in a computationally efficient  ...  A study of the mechanical properties of struts built at various orientations and sizes in metal powder bed fusion is used to build a process-aware material model.  ...  Her encouragement was invaluable in pushing through to the end. This work also benefited greatly from many technical  ... 
doi:10.26153/tsw/13624 fatcat:islsr3eisnffrav34iatl65ma4

DH-Net: Deformed Microstructure Homogenization via 3D Convolutional Neural Networks [article]

Hao Peng, An Liu, Jingcheng Huang, Jikai Liu, Lin Lu
To conquer this problem, we introduce a fine-designed 3D convolutional neural network (CNN), named DH-Net, to predict the homogenized properties of deformed microstructures.  ...  The macroscopic strains are considered as a constant in the loss function based on minimum potential energy.  ...  [41] adopt NN to establish a surrogate model for electric conduction homogenization. Yang et al.  ... 
doi:10.48550/arxiv.2201.09672 fatcat:sgqiiyu3yjdippp4uzzcu44pnq

Abstracts of the 2014 Annual Meeting of the Lumbar Spine Research Society Chicago, Illinois • May 1–2, 2014

2014 Neurosurgical Focus  
Dioxin significantly lowered fusion scores and rates in a rat arthrodesis model. Future studies will determine whether AHR antagonists protect against dioxin action in vivo.  ...  We hypothesized that dioxin inhibits osteogenesis via the Aryl Hydrocarbon Receptor (AHR), and that dioxin treatment would inhibit arthrodesis in a rat posterolateral fusion (PLF) model.  ...  Methods: We reviewed 199 cases of 3D image-guided lumbar pedicle screw instrumentation from Nov 2006 to Dec 2011.  ... 
doi:10.3171/2014.4.foc-lsrsabstracts pmid:24684322 fatcat:vo5qsieupjaxzcbme4cr7jjaju

Propulsion airframe topology optimization with performance and stress criteria using Eulerian and Lagrangian approaches

Simone Coniglio
2019 unpublished
Still it is pos-35: Initial guess component plot sible to understand the solution features as in a truss pylon.  ...  approach and are not necessarily generalizable to other geometric configurations.  ...  The proposed design methodology was validated on several academic 2D examples and then tested on a generic 3D engine model (1.4 Millions of DOFs and up to 500 thousands of design variables).  ... 
doi:10.13140/rg.2.2.16138.21446 fatcat:rk4a6ezxbfatpbq3z4virdspa4

Spatial Ability Degradation in Undergraduate Mechanical Engineering Students During the Winter Semester Break

Benjamin J. Call
Spatial ability represents our ability to mentally arrange, rotate, and explore objects in multiple dimensions. This ability has been found to be important for engineers and engineering students.  ...  To resolve this, the work presented in this paper reflects research on engineering students' spatial ability maintenance during the winter break between semesters.  ...  acted a surrogate for experience in engineering curriculum).  ... 
doi:10.26076/8460-4a55 fatcat:34hgyr5q7zb73jyot3b62v7k4e