Structural analysis and topology optimization design for a sweeper vehicle frame

2010 ◽  
Author(s):  
Zhou Bing ◽  
Wu Chonghui ◽  
Wei-ping Li
Keyword(s):  
Topology Optimization ◽  
Structural Analysis ◽  
Optimization Design ◽  
And Topology

scholarly journals Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Zhenguo Nie ◽  
Haoliang Jiang ◽  
Levent Burak Kara
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Topology Optimization ◽  
Structural Analysis ◽  
Stress Field ◽  
Convolutional Neural Networks ◽  
Von Mises Stress ◽  
Channel Network ◽  
Promising Alternative ◽  
And Topology

Abstract The demand for fast and accurate structural analysis is becoming increasingly more prevalent with the advance of generative design and topology optimization technologies. As one step toward accelerating structural analysis, this work explores a deep learning-based approach for predicting the stress fields in 2D linear elastic cantilevered structures subjected to external static loads at its free end using convolutional neural networks (CNNs). Two different architectures are implemented that take as input the structure geometry, external loads, and displacement boundary conditions, and output the predicted von Mises stress field. The first is a single input channel network called SCSNet as the baseline architecture, and the second is the multichannel input network called StressNet. Accuracy analysis shows that StressNet results in significantly lower prediction errors than SCSNet on three loss functions, with a mean relative error of 2.04% for testing. These results suggest that deep learning models may offer a promising alternative to classical methods in structural design and topology optimization. Code and dataset are available.2

Integrated layout and topology optimization design of multi-component systems under harmonic base acceleration excitations

2019 ◽  
Vol 59 (4) ◽  
pp. 1053-1073 ◽  
Author(s):  
Tao Liu ◽  
Ji-Hong Zhu ◽  
Wei-Hong Zhang ◽  
Hua Zhao ◽  
Jie Kong ◽  
...  
Keyword(s):  
Topology Optimization ◽  
Optimization Design ◽  
And Topology ◽  
Component Systems

scholarly journals Topology Optimization Design of Internal Reinforcements in a Sailing Dinghy

2021 ◽  
pp. 73-79
Author(s):  
Antonio Mancuso ◽  
Antonio Saporito ◽  
Davide Tumino
Keyword(s):  
Topology Optimization ◽  
Optimization Design ◽  
Fem Simulation ◽  
Optimization Procedure ◽  
Free Form ◽  
Final Shape ◽  
And Topology ◽  
Novel Approach ◽  
Definition Of ◽  
Full Body

AbstractIn this paper, a novel approach has been followed based on FEM simulation and Topology Optimization tools to locate and model the reinforcements inside the hull of a sailing dinghy. This process assumes that the inner volume included between the hull and the deck is, at the beginning of the simulation, filled with material; then a portion of this inner volume is eroded until a final free form shape of the reinforcements is obtained. A key point of this procedure is the definition of the optimization constrains because the final shape of the reinforcements must fulfill several requirements such as weight, stiffness and stress. At the end of the optimization procedure, the final shape of internal reinforcements consists of a truss-like web frame with a final weight equal to the 18% of the initial full body.

The Optimization Design and Analysis of Motorcycle Frame Structure

2011 ◽  
Vol 141 ◽  
pp. 569-573 ◽  
Author(s):  
Jiang Wang ◽  
Ji Zhou ◽  
Bao Bao Li ◽  
Xiao Ling Li ◽  
Shi Yong Song
Keyword(s):  
Topology Optimization ◽  
Engineering Design ◽  
Optimization Design ◽  
Optimization Theory ◽  
Frame Structure ◽  
Fem Model ◽  
Fatigue Stress ◽  
And Topology ◽  
Motorcycle Frame ◽  
The Cost

The optimization theory of the motorcycle frame structure was described. The FEM model of the frame structure was established by Hyperworks software, the stress and fatigue stress of the frame structure was analyzed. The frame parts were optimized through the size and topology optimization according to the stress and the displacement. The result showed that the stress of the frame structure changed little comparing with that before, which was in the permitted range of engineering design. The cost of the motorcycle frame structure was reduced, and the frame weight was lightened about 6.5%.

scholarly journals Topology and Parametric Optimization-Based Design Processes for Lightweight Structures

2020 ◽  
Vol 10 (13) ◽  
pp. 4496
Author(s):  
Evangelos Tyflopoulos ◽  
Martin Steinert
Keyword(s):  
Topology Optimization ◽  
Optimization Design ◽  
Parametric Optimization ◽  
Optimization Procedure ◽  
Optimization Approach ◽  
Design Processes ◽  
Initial Strength ◽  
Lightweight Structures ◽  
Material Optimization ◽  
And Topology

Topology and Parametric Optimization are two of the most implemented material optimization approaches. However, it is not clear in the literature which optimization procedure, or possible combination of them, can lead to the best results based on material reduction and optimization time. In this paper, a quantitative comparison of different topology and parametric optimization design processes is conducted using three benchmark examples: A Hollow Plate, an L-Bracket, and a Messerschmitt–Bölkow–Blohm Beam (MBB-Beam). Ten different design processes that were developed in each case study resulted in 30 simulations in total. The design processes were clustered in three main design workflows: The Topology Optimization, the Parametric Optimization, and the Simultaneous Parametric and Topology Optimization. Their results were compared with respect to mass, stress, and time. The Simultaneous Parametric and Topology Optimization approach gave the lightest design solutions without compromising their initial strength but also increased the optimization time. The findings of this paper will help the designers in the pursuit of lightweight structures and will create the basis for the identification of the ideal material optimization procedure.

Sign in / Sign up

Export Citation Format

Share Document