Bi-Level Optimization for Cross-Sectional Size of Bus Body

2013 ◽  
Vol 437 ◽  
pp. 434-438 ◽  
Author(s):  
Jing Xin Na ◽  
Jian Feng Gao
Keyword(s):  
Line Search ◽  
Lightweight Design ◽  
Optimization Method ◽  
The Body ◽  
Design Stage ◽  
Concept Design ◽  
Body Frame ◽  
Cross Sectional ◽  
Multi Objective ◽  
Bus Body

A bi-level optimization method, integrating both local line search and overall multi-objective optimization, is proposed aiming to provide a solution for lightweight design of integral bus bodies. On the first level, the lightest structure under the strength condition is obtained via implementing line-search process in local bar models of the body frame based on the section libraries. On the second level, the design variables are screened by means of sensitivity analysis, and then the bus body structure is optimized by using the multi-objective genetic algorithm. This approach is implemented into an integral bus body frame during the concept design stage. It is verified that the obtained structure scheme is 10.57% lighter than the target bus model and the major mechanical performances are also better than the target one.

Electric Bus Body Lightweight Design Based on Multiple Constrains

2012 ◽  
Vol 538-541 ◽  
pp. 3137-3144 ◽  
Author(s):  
Wen Wei Wang ◽  
Cheng Jun Zhou ◽  
Cheng Lin ◽  
Jiao Yang Chen
Keyword(s):  
Finite Element ◽  
Lightweight Design ◽  
Element Model ◽  
The Body ◽  
Body Frame ◽  
Electric Bus ◽  
Free Model ◽  
Bus Body ◽  
The Finite Element Model ◽  
Torsion Condition

The finite-element model of pure electric bus has been built and the free model analysis, displacement and stress analysis under bending condition and torsion condition have been conducted. Optimally design the pure electric bus frame based on multiple constrains. Reduce the body frame quality by 4.3% and meanwhile meet the modal and stress requirements.

Finite Element Modeling and Analysis for a Certain Urban Bus Frame

2013 ◽  
Vol 433-435 ◽  
pp. 2239-2245
Author(s):  
Ya Hui Li ◽  
Wei Dong Luo ◽  
Rui Zhou
Keyword(s):  
Finite Element ◽  
Element Model ◽  
The Body ◽  
Body Frame ◽  
Cross Sectional ◽  
Modeling And Analysis ◽  
Calculation Results ◽  
Bus Body ◽  
Urban Bus ◽  
Set Up

Using CATIA set up a 3d model of urban bus frame in this paper, And ANSYS13.0 is used to establish the body frame finite element model of the certain urban bus body frame, Based on this model, the static characteristics under various conditions were analyzed, and the features of stress and strain distribution are gotten. Through the analysis of calculation results, we can conclude that this body frame around the column to the rear windscreen beam junction strength in insufficient, need to increase cross-sectional area of the left column; The floor behind driver seats strength is not enough, need to add two beams to strengthen the support. And the calculation result shows that the rest of the frame has a certain extent optimization space, and can provide the basis for the next step of lightweight.

scholarly journals Multi-objective optimization of crashworthiness for mini-bus body structures

2017 ◽  
Vol 9 (7) ◽  
pp. 168781401771185 ◽  
Author(s):  
Dawei Gao ◽  
Nan Zhang ◽  
Jinzhi Feng
Keyword(s):  
Total Mass ◽  
Latin Hypercube Sampling ◽  
Optimization Method ◽  
The Body ◽  
Multi Objective Optimization ◽  
Peak Acceleration ◽  
Multi Objective ◽  
Simulation Calculation ◽  
Body In White ◽  
Bus Body

In order to improve crash safety, the body structure of a mini-bus is optimized in this study. One type of multi-objective optimization method is proposed in this article. The peak acceleration amax at the B pillar lower end and total mass m of the body in white were set as two objective functions. First, the sample points were generated by Latin hypercube sampling design. Second, based on the evaluation index of 40% frontal offset crash, an approximation model was established by the Kriging method. Then, particle swarm optimization was performed on the approximate models. Finally, the simulation calculation by LS-DYNA proved that the peak acceleration amax at the B pillar lower end was reduced by 18.6%, and the total mass m of body in white was reduced by 0.87%. Therefore, the crashworthiness of the mini-bus was improved greatly without increasing the total mass of the body in white, which means that the optimization results were meaningful.

Multi-objective Collaborative Optimization for the Lightweight Design of an Electric Bus Body Frame

2020 ◽  
Vol 3 (3) ◽  
pp. 250-259
Author(s):  
Dengfeng Wang ◽  
Chong Xie ◽  
Yuchang Liu ◽  
Wenchao Xu ◽  
Qi Chen
Keyword(s):  
Lightweight Design ◽  
Collaborative Optimization ◽  
Body Frame ◽  
Multi Objective ◽  
Electric Bus ◽  
Bus Body

Multi-Level Optimization Method for Vehicle Body in Conceptual Design

2015 ◽  
Author(s):  
Wenbin Hou ◽  
Chunlai Shan ◽  
Hongzhe Zhang
Keyword(s):  
Conceptual Design ◽  
Optimal Algorithm ◽  
Optimization Method ◽  
Design Tool ◽  
The Body ◽  
Vehicle Body ◽  
Concept Design ◽  
Cross Sectional ◽  
Design Engineers ◽  
Conceptual Design Phase

Since product development lead-time needs to be as short as possible in contemporary enterprises, it is necessary to assess and optimize the performance of the structure in conceptual design phase for avoiding the time consuming production of trial models for vehicle body. This paper proposes a conceptual design tool based on optimization algorithms for global body frames named Vehicle Concept Design-Intelligent CAE system (VCD-ICAE). A multilevel optimization algorithm is applied to optimize the body performance, decide the size parameters, and generate cross-sectional shapes that satisfy design engineers’ required characteristics. The global body stiffness and vibration property would be optimized while decreasing the mass of body. The paper describes the implementation of the optimal algorithm, and Genetic algorithms are applied to solve the optimization problem. A case of optimization for a real car is given to verify the validity of the algorithm.

scholarly journals Study on application of MSOT method for lightweight design of automobile body structure

2020 ◽  
Vol 12 (10) ◽  
pp. 168781402096504
Author(s):  
Li Jixiong ◽  
Wang Daoyong
Keyword(s):  
Weight Reduction ◽  
Lightweight Design ◽  
The Body ◽  
Body Structure ◽  
Multi Objective Optimization ◽  
Pareto Solution ◽  
Multi Objective ◽  
Automobile Body ◽  
Collision Safety ◽  
Side Collision

In this study, the integrated MSOT (M-Multi-dimensional factor autobody model, S-Screening autobody component, O-Optimization of plate thickness, T-Testing, and validation) integration method is adopted to optimize the automobile body structure design for weight reduction. First, a multi-dimensional factor body model is established, then components of the vehicle are screened for the most important targets related to weight reduction and performance, and a multi-objective optimization is performed. Virtual experiments were carried out to validate the analysis and the MSOT method were proposed for lightweight design of the automobile body structure. A multi-dimensional performance model that considers stiffness, modality, strength, frontal offset collision, and side collision of a domestic passenger car body structure. Components affecting the weight of the vehicle were identified. Sheet metal thickness was selected as the main optimization target and a multi-objective optimization was carried out. Finally, simulations were performed on the body structure. The comprehensive performance, in terms of fatigue strength, frontal offset collision safety, and side collision safety, was verified using the optimized Pareto solution set. The results show that the established MSOT method can be used to comprehensively explore the weight reduction of the body structure, shorten the development process, and reduce development costs.

Multi-objective topology and sizing optimization of bus body frame

2016 ◽  
Vol 54 (3) ◽  
pp. 701-714 ◽  
Author(s):  
Wei Zhong ◽  
Ruiyi Su ◽  
Liangjin Gui ◽  
Zijie Fan
Keyword(s):  
Body Frame ◽  
Sizing Optimization ◽  
Multi Objective ◽  
Bus Body

Model and Finite Element Analysis of a Bus Body

2012 ◽  
Vol 605-607 ◽  
pp. 596-599
Author(s):  
Feng Wang ◽  
Qin Man Fan
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
The Body ◽  
Body Frame ◽  
Element Analysis ◽  
Maximum Deformation ◽  
Emergency Braking ◽  
Computing Platform ◽  
Bus Body ◽  
Stress And Deformation

ANSYS is used as the finite element computing platform to analysis a certain type of bus body frame under four load conditions of bending conditions, reversing conditions, the bending and torsion conditions and the emergency braking conditions. The constraints and load approach in the four conditions are given in this paper. A certain type of bus body skeleton program and the finite element analysis are conduct. The result shows that: (1) Bus body frame changing brings the re-distribution of the stress, making the overall stress and deformation of the body skeleton relatively uniform. (2) The improved program makes more than 250KG weight losing of the body frame and the changing location of the maximum deformation under the bending conditions. The maximum bending deform increased is only 8.92%.

Multi-objective crashworthiness optimization of vehicle body using particle swarm algorithm coupled with bacterial foraging algorithm

2017 ◽  
Vol 232 (8) ◽  
pp. 1003-1018
Author(s):  
Dengfeng Wang ◽  
Kefang Cai
Keyword(s):  
Hybrid Method ◽  
Lightweight Design ◽  
Particle Swarm ◽  
Parametric Model ◽  
Vehicle Body ◽  
Design Stage ◽  
Particle Swarm Algorithm ◽  
Physical Test ◽  
Multi Objective ◽  
Bacterial Foraging

Crashworthiness and lightweight design are two main challenges in the early body in white (BIW) design stage. An implicit parametric model of BIW was built by using SFE-CONCEPT to allow for larger geometrical modifications and more flexible design space. A physical test was then conducted to verify the validity of the implicit parametric model. A hybrid method coupling the particle swarm optimization (PSO) algorithm with the bacterial foraging optimization (BFO) algorithm has been proposed to improve the crashworthiness and lightweight design. This method aims to obtain the Pareto sets to guide designers in selecting the optimal solution according to different demand. Meanwhile, a comparison between the proposed hybrid method and other widely used intelligent methods (PSO, BFO, and PSO–GA) was performed to illustrate the advantages of the hybrid method in solving complex, nonlinear, and multi-objective optimization problems. The results indicate that the proposed hybrid method has significant potential to optimize the crashworthiness and to guide lightweight design of BIW.

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