CN106919751B - A kind of gradient mechanical property part transition area optimum design method - Google Patents

A kind of gradient mechanical property part transition area optimum design method Download PDF

Info

Publication number
CN106919751B
CN106919751B CN201710107752.1A CN201710107752A CN106919751B CN 106919751 B CN106919751 B CN 106919751B CN 201710107752 A CN201710107752 A CN 201710107752A CN 106919751 B CN106919751 B CN 106919751B
Authority
CN
China
Prior art keywords
mechanical property
region
optimization
size
transition
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201710107752.1A
Other languages
Chinese (zh)
Other versions
CN106919751A (en
Inventor
宋燕利
华林
戴定国
耿平
韩瑜
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wuhan University of Technology WUT
Original Assignee
Wuhan University of Technology WUT
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Wuhan University of Technology WUT filed Critical Wuhan University of Technology WUT
Priority to CN201710107752.1A priority Critical patent/CN106919751B/en
Publication of CN106919751A publication Critical patent/CN106919751A/en
Application granted granted Critical
Publication of CN106919751B publication Critical patent/CN106919751B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/15Vehicle, aircraft or watercraft design

Abstract

The invention discloses a kind of gradient mechanical property part transition area optimum design methods, optimized including the regularity of distribution to part mechanical property transition region: using the size in part transition area as design variable, the part performance requirement as optimization aim, the optimal performance demand of the part as constraint condition, establish optimized mathematical model;Determine experimental group number, for every group of test, each value is determined in the wherein value range of a transition region, principle based on equal strength change rate, ratio i.e. between the difference of the tensile strength in arbitrary neighborhood mechanical property region and the size of the transition region between the adjacent mechanical property region is certain value, so that it is determined that the corresponding value of other transition regions, carries out analytical calculation to every group of test, the size of the optimal mechanical property transition region of part can be obtained.The present invention can be such that the variation between the different mechanical properties region of part seamlessly transits, and then obtain the gradient mechanical property part of best performance.

Description

A kind of gradient mechanical property part transition area optimum design method
Technical field
The invention belongs to automotive light weight technology and structure-design technique fields, and in particular to a kind of gradient mechanical property part mistake Cross area's optimum design method.
Background technique
In order to meet the great demand of automotive light weight technology, superhigh intensity steel hot part is widely answered in auto industry With.However people gradually recognize that body of a motor car safety knot component while strength enhancing, should also meet collision energy-absorbing requirement. Body of a motor car safety knot component with gradient mechanical property realizes the matched well of bus body strength Yu collision safety performance.
Gradient mechanical property part refers to that the different zones of Same Part have one kind of different mechanical properties demand novel Function part.By taking automobile B-column as an example, upper area needs enough intensity and is connected with vehicle body shell, to guarantee vehicle Body it is complete;Lower area, which is then connected with chassis, to be needed preferable ductility and absorbs energy, to prevent collision from invading.Mesh Before, some scholars have studied the drop stamping part mechanical performance gradient regularity of distribution, but are directed to adjacent different mechanical properties region Between transition region (size and intensity distribution) how to design and be rarely reported.In order to make the variation between different mechanical properties region For smooth transition, the research for the part mechanical property transition region regularity of distribution seems extremely important.
Summary of the invention
The purpose of the present invention is to provide a kind of gradient mechanical property part transition area optimum design methods, it can make zero Variation between the different mechanical properties region of part is smooth transition, and then obtains the gradient mechanical property part of best performance.
The technical solution adopted by the present invention to solve the technical problems is:
A kind of gradient mechanical property part transition area optimum design method, including the distribution to part mechanical property transition region Rule optimizes: using the size in part transition area as design variable, the part performance requirement as optimization aim, The optimal performance demand of the part establishes optimized mathematical model as constraint condition;Determine experimental group number, for every group of test, Each value is determined in the wherein value range of a transition region, based on the principle of equal strength change rate, i.e. arbitrary neighborhood power Learn the ratio between the difference and the size of the transition region between the adjacent mechanical property region of the tensile strength of performance zones For certain value, so that it is determined that the corresponding value of other transition regions, carries out analytical calculation to every group of test, obtains one group of optimal performance Demand is to get the size for arriving the optimal mechanical property transition region of part.
According to the above technical scheme, the tensile strength in the mechanical property region be to the mechanical property distribution position of part into The tensile strength in the mechanical property region for the optimization that row optimization obtains: the tensile strength in all mechanical property regions of part is carried out Optimization design, using the design tensile strength of part as design variable, the part performance requirement as optimization aim, the part Design performance demand as constraint condition, establish optimized mathematical model, design and implement orthogonal test, obtain first group it is optimal Performance requirement is to get to the tensile strength in the mechanical property region of one group of optimization.
According to the above technical scheme, the optimal performance demand of the part is to carry out to the mechanical property area size of the part Optimize second group of obtained optimal performance demand: the size in all mechanical property regions of part being optimized, with part Design mechanical property area size as design variable, the part performance requirement as optimization aim, first group of optimality Energy demand establishes optimized mathematical model, designs and implement orthogonal test as constraint condition, and obtaining second group of optimal performance needs It asks to get to the size in the mechanical property region of one group of optimization.
According to the above technical scheme, analytical calculation is carried out to every group of test using genetic algorithm.
According to the above technical scheme, the gradient mechanical property part is B column reinforcement plate, and the performance requirement includes that correspondence is driven The maximum intrusion speed at maximum intrusion volume, corresponding driver's chest at the person's of sailing chest, the maximum at corresponding driver's abdomen Maximum intrusion speed at intrusion volume and corresponding driver's abdomen, the design performance demand include corresponding driver before optimization Driver's abdomen is corresponded to before corresponding to maximum intrusion speed and optimization at driver's chest before maximum intrusion volume, optimization at chest Maximum intrusion speed at portion.
The present invention, have the advantages that the present invention using the regularity of distribution in part transition area as optimization object, using etc. The design scheme of change rate of strength determines the value of transition region size in each group test, can make between different mechanical properties Variation is smooth transition, and then obtains the gradient mechanical property part of best performance.This Method And Principle is simple, is easily achieved, Effectively the part mechanical property transition region regularity of distribution can be optimized, promote gradient mechanical property part in vapour Application on vehicle.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples, in attached drawing:
Fig. 1 is the flow chart of the embodiment of the present invention.
Fig. 2 is vehicle side collision finite element model figure in the embodiment of the present invention.
Fig. 3 a is B column reinforcement plate gradient mechanical property distribution position optimization design variable figure in the embodiment of the present invention.
Fig. 3 b is B column reinforcement plate gradient mechanics performance zones optimised design variable figure in the embodiment of the present invention.
Fig. 4 a is the optimization design variogram of B column reinforcement plate gradient mechanical property transition region in the embodiment of the present invention.
Fig. 4 b is the mechanical property changing rule figure of B column reinforcement plate gradient mechanical property transition region in the embodiment of the present invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right The present invention is further elaborated.It should be appreciated that described herein, specific examples are only used to explain the present invention, not For limiting the present invention.
In the preferred embodiment, a kind of gradient mechanical property part transition area optimum design method, including it is right The regularity of distribution of part mechanical property transition region optimizes: using the size in part transition area as design variable, this zero The performance requirement of part, as constraint condition, establishes optimized mathematical model as optimization aim, the optimal performance demand of the part;Really Determine experimental group number, for every group of test, each value is determined in the wherein value range of a transition region, is become based on equal strength The principle of rate, the i.e. difference of the tensile strength in arbitrary neighborhood mechanical property region between the adjacent mechanical property region Ratio between the size of transition region is certain value, so that it is determined that the corresponding value of other transition regions, divides every group of test Analysis calculates, and obtains one group of optimal performance demand to get the size of the optimal mechanical property transition region of part is arrived.
In a preferred embodiment of the invention, in order to further strengthen effect of optimization, the tensile strength in mechanical property region The tensile strength in the mechanical property region of the optimization optimized for the mechanical property distribution position to part: to part institute There is the tensile strength of mechanics performance zones to optimize, using the design tensile strength of part as design variable, the part Performance requirement as optimization aim, the design performance demand of the part as constraint condition, establish optimized mathematical model, design And implement orthogonal test, first group of optimal performance demand is obtained to get to the tensile strength in the mechanical property region of one group of optimization.
In a preferred embodiment of the invention, in order to further strengthen effect of optimization, the optimal performance demand of part is pair Second group of optimal performance demand that the mechanical property area size of the part optimizes: to all mechanical property areas of part The size in domain optimizes, and needs using the design mechanical property area size of part as the performance of design variable, the part It asks as optimization aim, first group of optimal performance demand as constraint condition, establishes optimized mathematical model, design and implement orthogonal Test obtains second group of optimal performance demand to get to the size in the mechanical property region of one group of optimization.
In a preferred embodiment of the invention, in order to further strengthen effect of optimization, using genetic algorithm to every group of test Carry out analytical calculation.
In a preferred embodiment of the invention, when gradient mechanical property part is B column reinforcement plate, performance requirement includes pair Answer the maximum intrusion volume at driver's chest, the maximum intrusion speed at corresponding driver's chest, at corresponding driver's abdomen Maximum intrusion speed at maximum intrusion volume and corresponding driver's abdomen, design performance demand include corresponding driver before optimization Driver's abdomen is corresponded to before corresponding to maximum intrusion speed and optimization at driver's chest before maximum intrusion volume, optimization at chest Maximum intrusion speed at portion.
The present invention is in specific application, comprising the following steps:
S1, the finite element model for establishing gradient mechanical property part, the part have N number of mechanical property region and N-1 A transition region, the tensile strength σ in each mechanical property regioniIt indicates, the size H in each mechanical property regioniIt indicates, often The size h of a transition regionjIndicate, i=1,2,3 ..., N, j=1,2,3 ..., N-1;
S2, it is optimized using gradient distribution of the Interest frequency method to part mechanical property, first against part Mechanical property distribution position optimize, on this basis, the mechanical property area size of part is optimized and is set Meter, two steps are all made of orthogonal experiment design method and optimize to the distribution of part mechanical performance gradient:
S201, first the mechanical property distribution position of part is optimized, i.e., to all mechanical property regions of part Tensile strength sigmaiIt optimizes, with σiAs design variable, the part performance requirement Y as optimization aim, the part Design performance demand X as constraint condition, establish optimized mathematical model, design and implement orthogonal test, obtain first group most Excellent performance requirement Yb1To get to the tensile strength in the mechanical property region of one group of optimization;
S202, the mechanical property area size of the part is optimized again, i.e., to N-1 mechanical property area of part The size H in domainiIt optimizes, with HiAs design variable, the part performance requirement Y as optimization aim, step S201 Obtained in Yb1As constraint condition, optimized mathematical model is established, designs and implement orthogonal test, obtains second group of optimal performance Demand Yb2To get to the size in the mechanical property region of one group of optimization;
S3, it is based on equal strength change rate prioritization scheme, the distribution of part mechanical property transition region is advised using genetic algorithm Rule optimizes: with the size h of N-1 transition region of partjAs design variable, the part performance requirement Y as excellent Change Y obtained in target, step S202b2As constraint condition, optimized mathematical model is established, in the value of a wherein transition region Each value is determined in range, and with the tensile strength combination equal strength in the mechanical property region of optimization obtained in step S201 Change rate optimization design determines the corresponding value of other transition regions, i.e. (σi+1i)/hj=(σi+2i+1)/hj+1, using heredity Algorithm obtains one group of optimal performance demand Yb3To get to the size of the optimal mechanical property transition region of part, optimum results are verified Reasonability.
The present invention uses Interest frequency, successively optimizes to intensity distribution and intensity area size, so that design Variable is single, simplifies the optimization process of intensity adjustable design, then the regularity of distribution of each mechanical property transition region of part is set as Change rate of strength is optimized in conjunction with the regularity of distribution of the genetic algorithm to part mechanical property transition region, so that different power The variation learned between performance is smooth transition, and then obtains the gradient mechanical property part of best performance.This Method And Principle letter List is easily achieved, and can effectively be optimized to the part mechanical property transition region regularity of distribution, be promoted gradient mechanics Application of the performance part on automobile.
Above-mentioned steps S3 specifically includes the following steps:
S301, optimization design target, constraint are determined, and according to equal strength change rate prioritization scheme, determine design variable and The valued space of each design variable, mathematical model of optimizing design are
In formula, Y indicates that design object function, s.t indicate constraint condition, XiFor i-th of constraint function of X, XiminFor constraint Function XiLower limit, XimaxFor constraint function XiThe upper limit;
S302, simulation calculation is carried out to every group of design scheme, obtains corresponding simulation value;
S303, optimal design result, i.e., the optimal mechanical property transition region regularity of distribution are obtained using genetic algorithm;
The reasonability of result after S304, verifying optimization.
It is all made of Ls-dyna finite element software in the present invention, simulation calculation is carried out to design scheme.
Below by taking the mechanical property transition region optimization design of automobile B-pillar reinforcement plate as an example, the present invention is made further detailed Explanation.As shown in Figure 1, the present invention the following steps are included:
S1, vehicle side collision finite element model as shown in Figure 2 is established using Hypermesh finite element software, it is mobile The speed for deforming obstacle is 50km/h, collision time 120ms;
S2, it is optimized using gradient distribution of the Interest frequency method to part mechanical property:
S201, it is optimized first against the mechanical property distribution position of part, Fig. 3 a is B column reinforcement plate gradient force Performance zones position optimization design variable is learned, determines the alternative numerical value and level of design variable according to demand, is obtained as shown in table 1 Factor-water-glass, the maximum intrusion using the tensile strength in 6 regions as design variable, at corresponding driver's chest and abdomen Amount and maximum intrusion speed are optimization aim, according to B column reinforcement plate before optimizing correspond to maximum intrusion volume at driver's chest with Maximum intrusion speed at maximum intrusion speed and abdomen is constraint condition, and it is as follows to can define optimized mathematical model
In formula, DAmax、DBmaxIt respectively indicates B column reinforcement plate and corresponds to maximum intrusion volume at driver's chest and abdomen, VAmax、VBmaxIt respectively indicates the maximum that B column reinforcement plate corresponds at driver's chest and abdomen and invades speed;
Using automated response face optimization method, reasonable gradient mechanics performance zones position distribution is obtained, such as 2 institute of table Show, optimization design target and constraint condition comparing result are as shown in table 3;
Table 1
Table 2
Region I II III IV V VI
Intensity (MPa) 800 600 1000 1000 1000 600
Table 3
DAmax/mm VAmax/(m·s-1) DBmax/mm VBmax/(m·s-1)
Before optimization 157.129 5.298 199.566 6.301
After mechanical property distribution position optimization 143.519 4.871 185.950 5.865
S202, on this basis, optimizes the mechanical property area size of part, and Fig. 3 b is B column reinforcement plate Gradient mechanics performance zones optimised design variable, according to demand determine design variable alternative numerical value and level, obtain as Factor-water-glass shown in table 4, using 5 area sizes as design variable, the maximum intrusion volume of corresponding driver's chest and abdomen It is optimization aim with maximum intrusion speed, is corresponded at driver's chest according to B column reinforcement plate after mechanical property distribution position optimization Maximum intrusion volume and maximum intrusion speed and abdomen at maximum intrusion speed be constraint condition, can define optimization mathematical modulo Type is as follows
In formula, DAmax、DBmaxIt respectively indicates B column reinforcement plate and corresponds to maximum intrusion volume at driver's chest and abdomen; VAmax、VBmaxIt respectively indicates the maximum that B column reinforcement plate corresponds at driver's chest and abdomen and invades speed;
Using optimization method same as described above, reasonable gradient mechanics performance zones size distribution is obtained, such as 5 institute of table Show, optimization design target and constraint condition comparing result are as shown in table 6;
Table 4
Table 5
Region H1 H2 H3 H4 H5
Highly (mm) 160 240 240 220 200
Table 6
DAmax/mm VAmax/(m·s-1) DBmax/mm VBmax/(m·s-1)
After mechanical property distribution position optimization 143.519 4.871 185.950 5.865
After the optimization of mechanical property area size 141.414 4.432 183.342 5.428
S3, it is based on equal strength change rate prioritization scheme, the distribution of part mechanical property transition region is advised in conjunction with genetic algorithm Rule optimizes:
S301, as shown in Fig. 4 a, Fig. 4 b, the present invention is using equal strength change rate prioritization scheme, it is possible to simplify For single argument optimization problem, 1. choosing transition region is design variable, and alternative area size is 20mm, 30mm, 40mm, 50mm, knot The field strength size of conjunction table 2 can determine that alternative area size of the transition region 2. with transition region 3., mechanical property transition region are excellent The testing program for changing design is as shown in table 7;
Table 7
Tested number Transition region 1./mm Transition region 2./mm Transition region 3./mm
1 20 40 40
2 30 60 60
3 40 80 80
4 50 100 100
S302, simulation calculation is carried out to every group of design scheme using Ls-dyna finite element software, obtains corresponding B column and adds Strong plate collision performance, then using transition region size 1. as design variable, the maximum intrusion volume of corresponding driver's chest and abdomen It is optimization aim with maximum intrusion speed, driver's chest is corresponded to according to the gradient mechanical property B column reinforcement plate after above-mentioned optimization Maximum intrusion speed at the maximum intrusion volume at place and maximum intrusion speed and abdomen is constraint condition, can define optimization mathematics Model is as follows
In formula, DAmax、DBmaxIt respectively indicates B column reinforcement plate and corresponds to maximum intrusion volume at driver's chest and abdomen, VAmax、VBmaxIt respectively indicates the maximum that B column reinforcement plate corresponds at driver's chest and abdomen and invades speed;
S303, using genetic algorithm, the optimal transition area distribution under this scheme has been obtained, wherein three transitional regions is strong It is identical to spend change rate, as shown in table 8,
Table 8
S304, in order to verify optimization after result reasonability, optimization design target and constraint condition are compared, such as table Shown in 9, it can be seen that mechanical property transition region optimization method of the present invention is used, so that the collision of automobile B-pillar reinforcement plate Performance is significantly improved.
Table 9
DAmax/mm VAmax/(m·s-1) DBmax/mm VBmax/(m·s-1)
After mechanical performance gradient distribution optimization 141.414 4.432 183.342 5.428
After the optimization of mechanical property transition region 138.099 4.319 181.979 5.254
It should be understood that for those of ordinary skills, it can be modified or changed according to the above description, And all these modifications and variations should all belong to the protection domain of appended claims of the present invention.

Claims (2)

1. a kind of gradient mechanical property part transition area optimum design method, which comprises the following steps:
S1, the finite element model for establishing gradient mechanical property part, the part have N number of mechanical property region and N-1 mistake Cross area, the tensile strength σ in each mechanical property regioniIt indicates, the size H in each mechanical property regioniIt indicates, each mistake Cross the size h in areajIndicate, i=1,2,3 ..., N, j=1,2,3 ..., N-1;
S2, it is optimized using gradient distribution of the Interest frequency method to part mechanical property, first against the power of part It learns performance profile position to optimize, on this basis, the mechanical property area size of part be optimized, two Step is all made of orthogonal experiment design method and optimizes to the distribution of part mechanical performance gradient:
S201, first the mechanical property distribution position of part is optimized, i.e., all mechanical property regions of part is resisted Tensile strength σiIt optimizes, with σiPerformance requirement Y as design variable, the part is set as optimization aim, the part Performance requirement X is counted as constraint condition, optimized mathematical model is established, designs and implement orthogonal test, obtain first group of optimality It can demand Yb1To get to the tensile strength in the mechanical property region of one group of optimization;
S202, the mechanical property area size of the part is optimized again, i.e., to N-1 mechanical property region of part Size HiIt optimizes, with HiPerformance requirement Y as design variable, the part is obtained as in optimization aim, step S201 The Y arrivedb1As constraint condition, optimized mathematical model is established, designs and implement orthogonal test, obtains second group of optimal performance demand Yb2To get to the size in the mechanical property region of one group of optimization;
S3, be based on equal strength change rate prioritization scheme, using genetic algorithm to the regularity of distribution of part mechanical property transition region into Row optimization design: with the size h of N-1 transition region of partjPerformance requirement Y as design variable, the part is as optimization mesh Y obtained in mark, step S202b2As constraint condition, optimized mathematical model is established, in the value range of a wherein transition region The interior each value of determination, and with the variation of the tensile strength combination equal strength in the mechanical property region of optimization obtained in step S201 Rate optimization design determines the corresponding value of other transition regions, i.e. (σi+1i)/hj=(σi+2i+1)/hj+1, using genetic algorithm Obtain one group of optimal performance demand Yb3To get the size for arriving the optimal mechanical property transition region of part.
2. gradient mechanical property part transition area according to claim 1 optimum design method, which is characterized in that the ladder Degree mechanical property part is B column reinforcement plate, the performance requirement of the part include maximum intrusion volume at corresponding driver's chest, Maximum at corresponding driver's chest invades speed, corresponds to maximum intrusion volume and the corresponding driver's abdomen at driver's abdomen The maximum intrusion speed at place, the design performance demand of the part include the maximum intrusion before optimizing at corresponding driver's chest Maximum intrusion speed before maximum intrusion speed and optimization before amount, optimization at corresponding driver's chest at corresponding driver's abdomen Degree.
CN201710107752.1A 2017-02-27 2017-02-27 A kind of gradient mechanical property part transition area optimum design method Active CN106919751B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710107752.1A CN106919751B (en) 2017-02-27 2017-02-27 A kind of gradient mechanical property part transition area optimum design method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710107752.1A CN106919751B (en) 2017-02-27 2017-02-27 A kind of gradient mechanical property part transition area optimum design method

Publications (2)

Publication Number Publication Date
CN106919751A CN106919751A (en) 2017-07-04
CN106919751B true CN106919751B (en) 2019-08-23

Family

ID=59454586

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710107752.1A Active CN106919751B (en) 2017-02-27 2017-02-27 A kind of gradient mechanical property part transition area optimum design method

Country Status (1)

Country Link
CN (1) CN106919751B (en)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1758255A (en) * 2005-11-03 2006-04-12 上海交通大学 Car bady fittings light weight method based on response surface method
CN106282860A (en) * 2016-08-25 2017-01-04 武汉理工大学 Gradient mechanical property car body of aluminum alloy part forming device and method

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1758255A (en) * 2005-11-03 2006-04-12 上海交通大学 Car bady fittings light weight method based on response surface method
CN106282860A (en) * 2016-08-25 2017-01-04 武汉理工大学 Gradient mechanical property car body of aluminum alloy part forming device and method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
面向汽车轻量化应用的碳纤维复合材料关键技术;宋燕利等;《材料导报A:综述篇》;20160930;第30卷(第9期);第16-23页

Also Published As

Publication number Publication date
CN106919751A (en) 2017-07-04

Similar Documents

Publication Publication Date Title
Qin et al. Speed independent road classification strategy based on vehicle response: Theory and experimental validation
Wang et al. Suspension system state estimation using adaptive Kalman filtering based on road classification
CN101271022B (en) Transmission path detecting system for vehicle system structure vibration and noise
Kang et al. Coordinated vehicle traction control based on engine torque and brake pressure under complicated road conditions
Ren et al. State observer-based sliding mode control for semi-active hydro-pneumatic suspension
CN108944943B (en) Bend following model based on risk dynamic balance theory
CN103646280A (en) Particle swarm algorithm-based vehicle suspension system parameter optimization method
Zhu et al. Use of support vector regression in structural optimization: application to vehicle crashworthiness design
CN105631519A (en) Convolution nerve network acceleration method based on pre-deciding and system
CN106515348A (en) Intelligent accelerated speed damping semi-active control method for vehicle suspension system
CN102567552B (en) Method for realizing optimization of vehicle body structure on basis of normal rigidity analysis of metal plates of vehicle body
CN103303088A (en) Method for controlling damping value of three-gear-adjustable shock absorber on semi-active energy-feedback suspension frame
Naito et al. Introduction of new concept U* sum for evaluation of weight-efficient structure
CN106919751B (en) A kind of gradient mechanical property part transition area optimum design method
CN106503342A (en) Resultant metal part light weight method
KR102023469B1 (en) Body parts manufacturing system
Ohm et al. L2-error analysis of fully discrete discontinuous Galerkin approximations for nonlinear Sobolev equations
CN112765788B (en) Plastic part collision fracture simulation analysis method and automobile instrument panel assembly structure optimization method
KR102023468B1 (en) Apparatus and method for manufacturing body parts
Wu et al. Optimal Control Method for Side Impact Safety of Vehicle Frame Structure.
Makhfi et al. On the generalized Blasius equation
CN103218501B (en) A kind of Discrete Optimized Design method being applicable to syndeton
Chen et al. Optimization of longitudinal beam for improvement of crashworthiness in frontal and offset impacts
CN103984838B (en) A kind of method determining side airbag shape
Sleep et al. Statistical versus biological hypothesis testing: response to Steidl

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant