OPTIMIZATION DESIGN OF NJ SHAPED GUARDRAIL BASED ON COLLISION SAFETY CONSIDERATION

2014 ◽  
Vol 11 (06) ◽  
pp. 1350083 ◽  
Author(s):  
SHUJUAN HOU ◽  
YUNA ZHENG ◽  
JINDE XIE ◽  
XU HAN
Keyword(s):  
Optimization Design ◽  
Optimal Size ◽  
Latin Hypercube Design ◽  
Peak Acceleration ◽  
Cross Sectional ◽  
Car Body ◽  
Crushing Force ◽  
Collision Safety ◽  
Safety Consideration ◽  
Optimal Latin Hypercube Design

Cross-sectional shapes and dimensions of concrete guardrails directly influence climbing angles and directions of a car when a collision between concrete guardrail and car occurs. At the same time, contacting and climbing angles and directions influence the peak crushing force and the peak acceleration of a car body during a collision. Therefore, cross-sectional shapes and dimensions of concrete guardrails can influence the severity of injuries sustained when a collision between concrete guardrail and car occurs. In this study, the passive safety of a car body is considered in optimizing the cross-sectional dimensions of a New Jersey (NJ) concrete guardrail based on numerical simulations and surrogate model techniques. Optimal Latin hypercube design is used to get sampling points, and multi-island genetic algorithm is utilized to obtain the optimal size of NJ concrete guardrail in the optimization process. After simulating the collision between car and optimal NJ shaped guardrail, the results show that the peak acceleration of optimal results reduces significantly by 28% compared with the initial value, and the peak interface force decreases from 378.6 kN to 241.5 kN.

Optimization design of highway cable barriers based on collision safety consideration

2020 ◽  
Vol 62 (6) ◽  
pp. 3507-3520
Author(s):  
Chuanhao Lu ◽  
Zheyi Zhang ◽  
Wei Tan ◽  
Shujuan Hou
Keyword(s):  
Optimization Design ◽  
Collision Safety ◽  
Safety Consideration

scholarly journals Bayesian Optimization Design of Inlet Volute for Supercritical Carbon Dioxide Radial-Flow Turbine

Machines ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 218
Author(s):  
Chao Bian ◽  
Shaojie Zhang ◽  
Jinguang Yang ◽  
Haitao Liu ◽  
Feng Zhao ◽  
...  
Keyword(s):  
Optimization Design ◽  
Radial Flow ◽  
Flow Characteristics ◽  
Bayesian Optimization ◽  
Working Fluid ◽  
Cross Sectional ◽  
Pressure Loss Coefficient ◽  
Flow Capacity ◽  
Cycle Efficiency ◽  
Total Pressure Loss Coefficient

The radial-flow turbine, a key component of the supercritical CO2 (S-CO2) Brayton cycle, has a significant impact on the cycle efficiency. The inlet volute is an important flow component that introduces working fluid into the centripetal turbine. In-depth research on it will help improve the performance of the turbine and the entire cycle. This article aims to improve the volute flow capacity by optimizing the cross-sectional geometry of the volute, thereby improving the volute performance, both at design and non-design points. The Gaussian process surrogate model based parameter sensitivity analysis is first conducted, and then the optimization process is implemented by Bayesian optimization (BO) wherein the acquisition function is used to query optimal design. The results show that the optimized volute has better and more uniform flow characteristics at design and non-design points. It has a smoother off-design conditions performance curve. The total pressure loss coefficient at the design point of the optimized volute is reduced by 33.26%, and the flow deformation is reduced by 54.55%.

OPTIMIZATION DESIGN OF ALU FOAM-FILLED S-SHAPE SQUARE TUBE UNDER AXIAL DYNAMIC LOADING

2020 ◽  
Vol 40 (04) ◽  
Author(s):  
NGUYEN VAN SY ◽  
NGUYEN THANH TAM
Keyword(s):  
Energy Absorption ◽  
Optimization Design ◽  
Optimal Designs ◽  
Design Parameters ◽  
Aluminum Foams ◽  
Response Surface Models ◽  
Element Simulation ◽  
Crushing Force ◽  
Surface Models ◽  
Foam Filled

This paper presents finite element simulation of the crash behavior and the energy absorption characteristics of S-shape square tubes which were fully or partially filled with aluminum foams. Base on the numerical results, it is found that, the density, the length of the filled foam and the thickness of tube directly affect the specific energy absorption (SEA) and peak crushing force (PCF) of the S-shape tubes. In this paper, the multi-objective particle swarm optimization (MOPSO) algorithm is employed to seek for optimal designs for the partial foam-filled S-shape tubes (PFSTs) and the full foam-filled S-shape tubes (FFSTs) with various design parameters such as the density, the length of filled foam and the thickness of tube, where response surface models are established to formulation SEA and PCF. The optimization results showed the energy absorption capability per unit mass of the PFSTs is more powerful than that of the FFSTs while the PCF constrained under the same level.

The Optimization Design of the Cross-Sectional Layout of an Umbilical Based on the Hybrid Genetic Algorithm

2021 ◽  
Author(s):  
Xu Yin ◽  
Zhixun Yang ◽  
Dongyan Shi ◽  
Jun Yan ◽  
Lifu Wang ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Cross Sections ◽  
Optimization Design ◽  
Mechanical Performance ◽  
Fitness Function ◽  
Hybrid Genetic Algorithm ◽  
Optimization Strategy ◽  
Cross Sectional ◽  
Great Probability ◽  
The Cross

Abstract The umbilical which consists of hydraulic tubes, electrical cables and optical cables is a key equipment in the subsea production system. Each components perform different physical properties, so different cross-sections will present different geometrical characteristic, carrying capacities, the cost and the ease of manufacture. Therefore, the cross-sectional layout design of the umbilical is a typical multi-objective optimization problem. A mathematical model of the cross-sectional layout considering geometric and mechanical properties is proposed, and the genetic algorithm is introduced to copy with the optimization model in this paper. A steepest descent operator is embedded into the basic genetic algorithm, while the appropriate fitness function and the selection operator are advanced. The optimization strategy of the cross-sectional layout based on the hybrid genetic algorithm is proposed with the fast convergence and the great probability for global optimization. Finally, the cross-section of an umbilical case is performed to obtain the optimal the cross-sectional layout. The geometric and mechanical performance of results are compared with the initial design, which verify the feasibility of the proposed algorithm.

Size Optimization of the Pillars in the Flexible Gripping Tooling Stent

2012 ◽  
Vol 538-541 ◽  
pp. 2754-2758
Author(s):  
Chang Qing Su ◽  
Jing Li ◽  
Bao Rui Du
Keyword(s):  
Optimization Design ◽  
Shell Element ◽  
Stress Constraint ◽  
Cross Sectional ◽  
Spring Element ◽  
Mass Displacement ◽  
Design Requirements ◽  
As Stress ◽  
The Cost

Large flexible clamping tooling stent is mostly volume which wasted a lot of materials. Structure size is to optimize the details of the flexible clamping tooling optimization design. It is by changing the properties of the structural unit - for example, the shell element thickness, the cross-sectional properties of the beam element, the stiffness of the spring element and the quality of the mass element to achieve a certain design requirements (such as stress, mass, displacement)。This design is use of hyper mesh software to optimize the size of the pillar on the flexible clamping tooling bracket. The pillars can be as a shell for analysis, a stress constraint is specified materials at least, reduce the weight of the parts, save the cost of production to achieve the optimization purposes.

Optimization Design of Earthquake-Resistant Structure Taking Discrete Variables into Account

2010 ◽  
Vol 163-167 ◽  
pp. 2420-2423
Author(s):  
Hui Ji ◽  
Hong Sheng Zhao
Keyword(s):  
Strain Energy ◽  
Optimization Design ◽  
Design Method ◽  
National Standards ◽  
Engineering Practice ◽  
Discrete Variables ◽  
Cross Sectional ◽  
Earthquake Resistant ◽  
The Cost ◽  
Cost Of Construction

Conventionally, when optimizing a structure, the single target structural optimization design method is usually used. However, this design result often can not meet with the multiple requirements of construction; furthermore its optimizing efficiency is low; so its application is limited. And more, as the objective function being generally continuous variable, the optimized result is not the structural module and this is inconvenient for construction. This paper, taking the structural strain energy and the cost of construction as the targets to be optimized, and the design variable being discrete, provides multiple-target earthquake-resistant optimization design method aiming at obtaining the largest stain energy and the lowest construction cost, and established the function relation formula between the strain energy and the cost of construction and obtained the satisfied result. The highlight of this process is adopting discrete variables as the design variables, therefore the optimized results (cross-sectional dimensions) will conform to the requirements of structural module and the engineering practice. The optimization process presented in this paper conforms entirely to the national standards: “Code for Design of Reinforced Concrete Structures” (GB50010-2002) and “Code for Earthquake-resistant Design of Buildings” (GB50011). The theory and methods presented in this paper will be helpful for the structural design engineers and the researchers.

Theoretical Study of Solar Car Based on Finite Element

2014 ◽  
Vol 933 ◽  
pp. 603-607
Author(s):  
Ding Yue Chen ◽  
Li Hao Chen ◽  
Feng Lin ◽  
Dong Xu ◽  
An Chang
Keyword(s):  
Finite Element ◽  
Topology Optimization ◽  
Optimization Design ◽  
Theoretical Study ◽  
Optimization Technique ◽  
Cost Effective ◽  
Convincing Evidence ◽  
Car Body ◽  
Effective Manner ◽  
The Relationship

This paper is concerned with an optimization design for the solar car body under a single load is carried out by using finite element optimization design (FEOD) model. Topology optimization and sizing optimization are explored to find out an optimal manufacturing feasible design from multiple optimized designs of material reinforcement of the solar car body for rigidity improvement. The application of these methods demonstrates that through innovative utilization of the topology optimization technique, an optimal manufacturing feasible design can be obtained. The relationship between the rigidity improvement and different configuration of material reinforcement is also investigated. It is concluded that through appropriate application of FEOD methods, the overall rigidity of the solar car body framework can be improved substantially in a cost effective manner and provides more convincing evidence for optimization design of the solar car body. The results demonstrate that the optimized solar car body is safer and lighter.

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