Topology Optimization Design of Pre-Stressed Plane Entity Steel Structure with the Constrains of Stress and Displacement

2014 ◽  
Vol 945-949 ◽  
pp. 1216-1222 ◽  
Author(s):  
Li Yao ◽  
Yun Xia Gao ◽  
Hai Jun Yang
Keyword(s):  
Topology Optimization ◽  
Optimization Design ◽  
Mechanical Performance ◽  
Steel Structure ◽  
Structural Topology ◽  
Unit Size ◽  
Structure Topology ◽  
Design Variables ◽  
Displacement Sensitivity ◽  
Low Sensitivity

For the prestressed plane entitiy steel structure topology optimization design which design variables include the cable pretension value, unit size and the structural topology, the optimized mathematical model which objective function is the minimum structural weight is established with consideration of the constrains of stress and displacement. As for the solving method, firstly we need to determine the pretension applying to the cable according to full stress design and choose the unit size; then we need to conduct displacement sensitivity analysis to delete the low sensitivity unit to realize the structural topology optimization design. The example result is in conformity with the corresponding system of mechanical performance, and it indicates that the method proposed in this paper is effective.

Method of Continuum Structural Topology Optimization with Information Functional Materials Based on K Nearest Neighbor

2011 ◽  
Vol 321 ◽  
pp. 200-203
Author(s):  
Jing Kui Li ◽  
Yi Min Zhang
Keyword(s):  
Topology Optimization ◽  
Optimization Design ◽  
Nearest Neighbor ◽  
Functional Materials ◽  
Structural Topology ◽  
K Nearest Neighbor ◽  
Original Design ◽  
Structure Topology ◽  
Unit Stress ◽  
Information Functional

The KNN method is extracted from the technique of pattern recognition for the continuum structure topology optimization design with information functional materials. Original design region is taken as initial sample space, and continuum structure's units are regarded as samples. Unit stress and displacement sensitivity are utilized as feature vector to describe sample, and the feature vectors' Euclidean distance is considered as the recognition standard to classify all the samples. One FEM package is utilized to process the entire optimization. Finally, the topology optimization result is obtained. Several examples are verified under different situations. The results indicate that the KNN method is feasible.

Topology Optimum Design of Steel Bodywork Based on Genetic Algorithms

2010 ◽  
Vol 43 ◽  
pp. 84-88
Author(s):  
Yu Peng Yao ◽  
Ying Shi ◽  
Ji You Fei
Keyword(s):  
Genetic Algorithms ◽  
Topology Optimization ◽  
Steel Structure ◽  
Minimum Mass ◽  
Object Beam ◽  
Structure Topology ◽  
System A ◽  
Design Variables ◽  
Optimum Model ◽  
High Level

With the minimum mass of steel structure for bodywork as the object, beam sections and location topologies as design variables, and the stress and displacement as constraints, the optimum model is established. With the method of killing or activating elements, a high level technique in MSC. Marc, by Genetic Algorithms, a new scheme of researching structure topology optimization is proposed and the calculation procedure system is programmed. Applied the system, a steel structure of bodywork is optimized successfully. The validity and practicability of the system are certified.

Structure Topology Optimization Design for Compression Box of Horizontal Preloading Domestic Waste Transfer Station

2013 ◽  
Vol 475-476 ◽  
pp. 1382-1386
Author(s):  
Hui Zhou ◽  
Gang Yan Li ◽  
Yuan Zhang ◽  
Le Li
Keyword(s):  
Topology Optimization ◽  
Optimization Design ◽  
Bottom Plate ◽  
Structural Topology Optimization ◽  
Structural Topology ◽  
Domestic Waste ◽  
Side Plate ◽  
Structure Topology ◽  
Transfer Station ◽  
Waste Transfer

Horizontal preloading domestic waste transfer station is the core equipment for domestic waste disposal. Compression equipment is the elementary equipment of horizontal preloading domestic waste transfer station, which should be ensured its mechanical properties and structural lightweight. According to the compression box structure in this paper, structural topology optimization model is established. By using HyperWorks software, the result of structural topology optimization result of compression box is obtained. Based on the result of topology optimization, the structural improvement design model of compression box is established, and the number, location, size of strengthening rib for bottom plate, top plate, side plate are optimal designed so as to realize structural lightweight.

scholarly journals A novel lattice structure topology optimization method with extreme anisotropic lattice properties

2021 ◽  
Vol 8 (5) ◽  
pp. 1367-1390
Author(s):  
Chenghu Zhang ◽  
Jikai Liu ◽  
Zhiling Yuan ◽  
Shuzhi Xu ◽  
Bin Zou ◽  
...  
Keyword(s):  
Topology Optimization ◽  
Design Space ◽  
Mechanical Performance ◽  
Volume Fraction ◽  
Lattice Structure ◽  
Optimization Method ◽  
Structural Topology ◽  
Structure Topology ◽  
Elementary Lattice ◽  
Anisotropic Lattice

Abstract This research presents a lattice structure topology optimization (LSTO) method that significantly expands the design space by creating a novel candidate lattice that assesses an extremely large range of effective material properties. About the details, topology optimization is employed to design lattices with extreme directional tensile or shear properties subject to different volume fraction limits and the optimized lattices are categorized into groups according to their dominating properties. The novel candidate lattice is developed by combining the optimized elementary lattices, by picking up one from each group, and then parametrized with the elementary lattice relative densities. In this way, the LSTO design space is greatly expanded for the ever increased accessible material property range. Moreover, the effective material constitutive model of the candidate lattice subject to different elementary lattice combinations is pre-established so as to eliminate the tedious in-process repetitive homogenization. Finally, a few numerical examples and experiments are explored to validate the effectiveness of the proposed method. The superiority of the proposed method is proved through comparing with a few existing LSTO methods. The options of concurrent structural topology and lattice optimization are also explored for further enhancement of the mechanical performance.

Topology Optimization Design of High Pressure Storage Tank Structure

2012 ◽  
Vol 430-432 ◽  
pp. 828-833
Author(s):  
Qiu Sheng Ma ◽  
Yi Cai ◽  
Dong Xing Tian
Keyword(s):  
Finite Element ◽  
High Pressure ◽  
Topology Optimization ◽  
Storage Tank ◽  
Optimization Design ◽  
Influence Factors ◽  
Element Model ◽  
Design Variables ◽  
Calculation Results ◽  
Pressure Storage

In this paper, based on ANSYS the topology optimization design for high pressure storage tank was studied by the means of the finite element structural analysis and optimization. the finite element model for optimization design was established. The design variables influence factors and rules on the optimization results are summarized. according to the calculation results the optimal design result for tank is determined considering the manufacturing and processing. The calculation results show that the method is effective in optimization design and provide the basis to further design high pressure tank.

Topology Optimization Using Node-Based Smoothed Finite Element Method

2015 ◽  
Vol 07 (06) ◽  
pp. 1550085 ◽  
Author(s):  
Z. C. He ◽  
G. Y. Zhang ◽  
L. Deng ◽  
Eric Li ◽  
G. R. Liu
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Topology Optimization ◽  
Optimization Design ◽  
Solid Mechanics ◽  
Optimality Criteria ◽  
Topology Optimization Problem ◽  
Design Variables ◽  
Smoothed Finite Element Method ◽  
Element Method

The node-based smoothed finite element method (NS-FEM) proposed recently has shown very good properties in solid mechanics, such as providing much better gradient solutions. In this paper, the topology optimization design of the continuum structures under static load is formulated on the basis of NS-FEM. As the node-based smoothing domain is the sub-unit of assembling stiffness matrix in the NS-FEM, the relative density of node-based smoothing domains serves as design variables. In this formulation, the compliance minimization is considered as an objective function, and the topology optimization model is developed using the solid isotropic material with penalization (SIMP) interpolation scheme. The topology optimization problem is then solved by the optimality criteria (OC) method. Finally, the feasibility and efficiency of the proposed method are illustrated with both 2D and 3D examples that are widely used in the topology optimization design.

A new methodology for thermostructural topology optimization: Analytical definition and validation

2020 ◽  
pp. 146442072097024
Author(s):  
R Caivano ◽  
A Tridello ◽  
M Codegone ◽  
G Chiandussi
Keyword(s):  
Topology Optimization ◽  
Heat Exchangers ◽  
Mechanical Performance ◽  
Turbine Blades ◽  
Mathematical Formulation ◽  
Service Condition ◽  
Manufacturing Processes ◽  
Structural Topology ◽  
Real Component ◽  
Rapid Diffusion

In the last few years, the rapid diffusion of components produced through additive manufacturing processes has boosted the research on design methodologies based on topology optimization algorithms. Structural topology optimization is largely employed since it permits to minimize the component weight and maximize its stiffness and, accordingly, optimize its resistance under structural loads. On the other hand, thermal topology optimization has been less investigated, even if in many applications, such as turbine blades, engines, heat exchangers, thermal loads have a crucial impact. Currently, structural and thermal optimizations are mainly considered separately, despite the fact that they are both present and coupled in components in service condition. In the present paper, a novel methodology capable of defining the optimized structure under simultaneous thermomechanical constraints is proposed. The mathematical formulation behind the optimization algorithm is reported. The proposed methodology is finally validated on literature benchmarks and on a real component, confirming that it permits to define the topology, which presents the maximized thermal and mechanical performance.

Optimal shape design of a brake calliper for squeal noise reduction considering system instability

2010 ◽  
Vol 224 (7) ◽  
pp. 909-925 ◽  
Author(s):  
H J Soh ◽  
J-H Yoo
Keyword(s):  
Topology Optimization ◽  
Design Process ◽  
Optimization Design ◽  
Parametric Design ◽  
Unstable Mode ◽  
Complex Eigenvalue ◽  
Noise Generation ◽  
Design Variables ◽  
Asymmetric Shape ◽  
Squeal Noise

Squeal is a noise phenomenon occurring in the last stage of automobile braking with a high-frequency sound. It is very difficult to express the phenomenon using a mathematical model, since the origin of squeal noise is physically complex. However, the possibility of squeal generation can be predicted by solving the vibration equation of the self-excited system using the complex eigenvalue analysis method. The results of the method are expressed as the magnitude of the unstable mode, and the generation of squeal noise can be prevented by reducing the magnitude of the unstable mode of the brake system. The objective of this research is to determine the optimal design process focused on the calliper housing shape to suppress squeal noise generation by reducing the system instability. The objective function is set to minimize the real part of the complex eigenvalue, i.e. the instability index. In the optimization design process, the design variable for topology optimization is established by focusing on the finger part of the calliper housing, which transmits the braking pressure to the pad lining. To supplement the complex shape generated by the topology optimization process, parametric design variables are selected for the subsequent process. Parameters are set to adjust the housing finger stiffness and are defined by considering the topology optimization result. Finally, the asymmetric shape of the calliper housing is obtained to reduce squeal noise generation.

Structure Topology Optimization Design and Shock Resistance Study on Nuclear Power Safety DCS Cast Aluminum Cabinet

2020 ◽  
Author(s):  
Wang Dongwei ◽  
Liu Mingxing ◽  
Wu Xiao ◽  
Yan Hao ◽  
Wu Zhiqiang
Keyword(s):  
Topology Optimization ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Optimization Design ◽  
High Stress ◽  
Shock Load ◽  
Normal Operation ◽  
Cast Aluminum ◽  
Structure Topology

Abstract Offshore floating nuclear power plant (FNPP) is characterized by its small and mobility, which is not only able to provide safe and efficient electric energy to remote islands, but to the oil and gas platforms. The safety digital control system (DCS) cabinet, as a carrier for the electronic devices, plays a significant role in ensuring the normal operation of the nuclear power plant. To satisfy the requirements of cabinet used in the sea environment, such as well rigidity, shock load resistance, good seal and corrosion resistance, etc, more and more attention is focused on the cast aluminum cabinet. However, the cast aluminum structure may cause larger weight of cabinet, which inevitability affects the mobility of cabinet, and increases the carried load of ship as well. Therefore, seeking for an effective approach to design a light weight cast aluminum cabinet for the offshore FNPP is definitely necessary. In this work, a frame of cast aluminum cabinet with lightweight is obtained successfully via structure topology optimization design, it is found that the weight of the frame can be reduced to 50% after optimization iterations. Subsequently, the natural frequency of the optimized cast aluminum cabinet is calculated by using ABAQUS, it is seen that the first mode frequency of the frame is beyond 30 Hz, which can meet the basic stiffness requirement. Accordingly, dynamic design analysis method (DDAM) is performed to verify the ability of the optimized cast aluminum cabinet in resisting sudden shock load, and the shock response characteristics of the cabinet are determined. Numerical results support that the optimized frame of cabinet possesses good resistance to high level shock. However, for the assembled cast aluminum cabinet, the vertical shock circumstance turns out to be the most critical condition, high stress and deformation regions occurs at the bracket and column. Reinforcements are proposed to make the bracket stiffer in this shock loading condition.

Casting and Milling Restrictions in Topology Optimization via Projection-Based Algorithms

2012 ◽  
Author(s):  
James K. Guest ◽  
Mu Zhu
Keyword(s):  
Topology Optimization ◽  
Continuation Methods ◽  
Minimum Length ◽  
Manufacturing Constraints ◽  
Element Space ◽  
Structure Topology ◽  
Design Variables ◽  
Unstructured Meshing ◽  
Independent Design ◽  
Minimum Length Scale

Projection-based algorithms are arising as a powerful tool for continuum topology optimization. They use independent design variables that are projected onto element space to create structure topology. The projection functions are designed so that geometric properties, such as the minimum length scale of features, are naturally achieved. They therefore offer an efficient means for imposing geometry-related design specifications and/or manufacturing constraints. This paper presents recent advances in projection-based algorithms, including topology optimization under manufacturing constraints related to milling and casting processes. The new advancements leverage the logic of recently proposed algorithms for Heaviside projection, including eliminating continuation methods on projection parameters and potential for using multiple design variables to achieve active projection of each phase used in design. The primary advantages of such an approach are that manufacturing restrictions are achieved naturally, without need for additional constraints, and that sensitivity calculations are efficient and straightforward. The primary drawback of the approach is that the so-called neighborhood maps require storage for efficient processing when using unstructured meshing.

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