CN112016160A - Design and optimization method for side impact resistance of automotive aluminum alloy thin-wall beam - Google Patents
Design and optimization method for side impact resistance of automotive aluminum alloy thin-wall beam Download PDFInfo
- Publication number
- CN112016160A CN112016160A CN202010773278.8A CN202010773278A CN112016160A CN 112016160 A CN112016160 A CN 112016160A CN 202010773278 A CN202010773278 A CN 202010773278A CN 112016160 A CN112016160 A CN 112016160A
- Authority
- CN
- China
- Prior art keywords
- thin
- wall beam
- aluminum alloy
- optimization
- wall
- 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.)
- Pending
Links
- 238000005457 optimization Methods 0.000 title claims abstract description 57
- 238000013461 design Methods 0.000 title claims abstract description 50
- 229910000838 Al alloy Inorganic materials 0.000 title claims abstract description 46
- 238000000034 method Methods 0.000 title claims abstract description 41
- 230000003014 reinforcing effect Effects 0.000 claims abstract description 19
- 238000012360 testing method Methods 0.000 claims abstract description 14
- 239000000463 material Substances 0.000 claims abstract description 9
- 238000012795 verification Methods 0.000 claims abstract description 4
- 238000004088 simulation Methods 0.000 claims description 16
- 238000010521 absorption reaction Methods 0.000 claims description 12
- 230000008569 process Effects 0.000 claims description 7
- 238000005452 bending Methods 0.000 claims description 4
- 238000013001 point bending Methods 0.000 claims description 4
- 238000013178 mathematical model Methods 0.000 claims description 3
- 238000012827 research and development Methods 0.000 abstract description 3
- 229910001095 light aluminium alloy Inorganic materials 0.000 abstract description 2
- 238000004519 manufacturing process Methods 0.000 abstract description 2
- 230000009286 beneficial effect Effects 0.000 abstract 1
- 230000000295 complement effect Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000007514 turning Methods 0.000 description 2
- 241000899793 Hypsophrys nicaraguensis Species 0.000 description 1
- 229910000831 Steel Inorganic materials 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 238000004026 adhesive bonding Methods 0.000 description 1
- 229910052782 aluminium Inorganic materials 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 238000001125 extrusion Methods 0.000 description 1
- 238000003754 machining Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012805 post-processing Methods 0.000 description 1
- 230000005180 public health Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
- 238000005728 strengthening Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/15—Vehicle, aircraft or watercraft design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/17—Mechanical parametric or variational design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/06—Multi-objective optimisation, e.g. Pareto optimisation using simulated annealing [SA], ant colony algorithms or genetic algorithms [GA]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Geometry (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Evolutionary Computation (AREA)
- Computer Hardware Design (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Computational Mathematics (AREA)
- Aviation & Aerospace Engineering (AREA)
- Automation & Control Theory (AREA)
- Body Structure For Vehicles (AREA)
Abstract
The invention provides a method for designing and optimizing side impact resistance of an aluminum alloy thin-wall beam for a vehicle, which comprises the following steps: defining structural characteristics and material selection of the aluminum alloy thin-wall beam; designing an internal reinforcing structure of the aluminum alloy thin-wall beam; finite element modeling and test verification; defining a crashworthiness design index; determining the topological form of the section of the thin-wall beam; constructing a thin-wall beam sample cell through wall thickness combination; constructing a display mathematical relation between the wall thickness of the thin-wall beam and each crashworthiness design index; defining and solving an approximate multi-objective optimization problem; generating a supplementary sample point and adding the supplementary sample point into a thin-wall beam sample pool database; judging whether the optimization convergence criterion is met, if so, finishing the optimization iteration; if not, updating the proxy model based on the sample point database after adding points, and optimizing iteration until the convergence requirement is met. The invention has the beneficial effects that: the lateral crashworthiness design of the light aluminum alloy thin-wall beam for the vehicle is effectively realized, the trial-production turn number and the crashworthiness test number of thin-wall beam samples are reduced, and the research and development period is shortened.
Description
Technical Field
The invention belongs to the technical field of vehicle thin-wall beam performance design, and particularly relates to a side impact collision resistance design and optimization method for a vehicle aluminum alloy thin-wall beam.
Background
The density of the aluminum alloy is about 1/3 of steel, and the aluminum alloy has good mechanical property and excellent machining property, so the aluminum alloy becomes an important material for reducing the weight of an automobile. Structural elements such as aluminum alloy thin-wall beams, rods and pipes are increasingly applied to vehicle body structures in the past decades, particularly to the design of new energy vehicle body structures with higher requirements on light weight levels.
The automobile collision safety problem is one of the most troublesome public health problems facing the current society, and the automobile can not sacrifice the collision safety while being light. Aiming at the safety requirement of the lightweight passenger vehicle under the collision working condition, the collision resistance of the aluminum alloy hollow thin-wall structure, the reinforced thin-wall structure and the filling thin-wall structure under various impact loads in the axial direction and the lateral direction (transverse direction) is widely researched.
In the passenger car industry, compared with collision working conditions such as direct collision, rear collision and the like of passenger cars, the side turning of the passenger car has greater danger to public life and property, and the caused consequences are more serious. Under the side-turning working condition, the lateral impact resistance of the structures such as a gantry frame, an upright post, a window cross beam and the like formed by the thin-wall beams in the passenger car body has the greatest influence on the safety of the passenger car body, so that the development of the lateral impact resistance design and the optimization research of the novel aluminum alloy thin-wall beams for the car has important guiding significance on the design of the car body structure of the light-weight new-energy passenger car.
Disclosure of Invention
In view of the above, the present invention aims to provide a design and optimization method for side impact resistance of an aluminum alloy thin-wall beam for a vehicle, so as to solve the above-mentioned disadvantages.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
a method for designing and optimizing side impact resistance of an aluminum alloy thin-wall beam for a vehicle comprises the following steps:
A. defining structural characteristics and material selection of the aluminum alloy thin-wall beam;
B. designing an internal reinforcing structure of the aluminum alloy thin-wall beam;
C. finite element modeling and test verification;
D. defining a crashworthiness design index;
E. determining the topological form of the section of the thin-wall beam;
F. constructing a thin-wall beam sample cell through wall thickness combination;
G. constructing a display mathematical relation between the wall thickness of the thin-wall beam and each crashworthiness design index based on the proxy model;
H. defining and solving an approximate multi-objective optimization problem;
I. generating a supplementary sample point based on a sample adding criterion and adding the supplementary sample point into a thin-wall beam sample pool database;
J. judging whether the optimization convergence criterion is met, if so, finishing the optimization iteration; if not, updating the proxy model based on the sample point database after adding points, and optimizing iteration until the convergence requirement is met.
Furthermore, in the step A, a combination form of an outer layer regular geometric shape and an inner complex reinforcing structure is defined, a common aluminum alloy grade of the bearing structural member is selected, and a material stress-strain curve is obtained through uniaxial tension.
Further, in the step B, the internal reinforcing structure of the thin-wall beam is defined as a basic geometric shape or a reinforcing rib.
Further, in the step C, a side impact finite element model of each thin-wall beam is established, and the reliability of modeling is verified under a quasi-static working condition by performing three-point bending simulation and test comparison on the basic aluminum alloy thin-wall beam without the internal reinforcing structure.
Further, in the step D, defining crashworthiness design indexes based on the bending resistance of the thin-wall beam and the stability of the collision process, wherein the crashworthiness design indexes comprise the structural total specific energy absorption SEA of the thin-wall beamtotalMaximum collision force CFmaxAverage collision force CFavgAnd the coefficient of impact force CFE,
wherein F (x) is the impact force of the punch, the impact stroke and the mass of the thin-wall beam;
wherein CF (l) is the acting force of the punch when the collision stroke is lmm;
and furthermore, in the step E, various impact resistance indexes of the aluminum alloy thin-wall beam under different design schemes are analyzed through side impact simulation comparison, and the thin-wall beam section with the optimal comprehensive performance is selected as a final topological form.
And further, in the step F, the thin-wall beams under the wall thickness combination of each part are extracted as sample points based on a test design method, and corresponding crashworthiness design indexes are obtained through side impact simulation.
Further, in the step H, the wall thickness of each part of the thin-wall beam is used as a design variable, the design index of the collision resistance of the related energy absorption class and the safety class is promoted to be used as an optimization target, a mathematical model of a proxy model optimization problem is constructed, the proxy model optimization problem is solved by adopting an advanced optimization algorithm to obtain the pareto front, and a thin-wall beam wall thickness matching scheme is selected.
Compared with the prior art, the design and optimization method for the side impact resistance of the automobile aluminum alloy thin-wall beam has the following advantages:
according to the design and optimization method for the side impact resistance of the automobile aluminum alloy thin-wall beam, disclosed by the invention, the design of the side impact resistance of the automobile light aluminum alloy thin-wall beam is effectively realized through high-efficiency and high-precision simulation and optimization, the trial-manufacture wheel number of thin-wall beam samples and the impact resistance test frequency are reduced, the capital and time cost is saved, and the research and development period is shortened; the requirement on engineering experience of designers is low, the human resource cost is saved to a certain extent, and the research and development cost is reduced.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate an embodiment of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow chart of a method for designing and optimizing side impact resistance of an aluminum alloy thin-wall beam for a vehicle according to an embodiment of the invention;
FIG. 2 is a schematic structural diagram of a thin-walled beam according to an embodiment of the present invention with a basic geometry inside;
FIG. 3 is a schematic structural view of a thin-wall beam according to an embodiment of the present invention, in which reinforcing ribs are disposed inside the thin-wall beam;
FIG. 4 is a schematic view of a side impact condition of a thin-wall beam according to an embodiment of the present invention;
FIG. 5 is a side impact finite element model of a thin wall beam according to an embodiment of the present invention;
fig. 6 is a flow of implementing the adaptive point-filling method.
Detailed Description
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
As shown in fig. 1, a method for designing and optimizing side impact resistance of an aluminum alloy thin-wall beam for a vehicle comprises the following steps:
A. defining structural characteristics and material selection of the aluminum alloy thin-wall beam;
B. designing an internal reinforcing structure of the aluminum alloy thin-wall beam;
C. finite element modeling and test verification;
D. defining a crashworthiness design index;
E. determining the topological form of the section of the thin-wall beam;
F. constructing a thin-wall beam sample cell through wall thickness combination;
G. constructing a display mathematical relation between the wall thickness of the thin-wall beam and each crashworthiness design index based on the proxy model;
H. defining and solving an approximate multi-objective optimization problem;
I. generating a supplementary sample point based on a sample adding criterion and adding the supplementary sample point into a thin-wall beam sample pool database;
J. judging whether the optimization convergence criterion is met, if so, finishing the optimization iteration; if not, updating the proxy model based on the sample point database after adding points, and optimizing iteration until the convergence requirement is met.
In the step A, considering the influence of a forming process and a novel connecting process, defining the combination form of an outer layer regular geometric shape and an inner complex reinforcing structure, selecting a common aluminum alloy mark of a bearing structural member, and obtaining a material stress-strain curve through uniaxial tension. In the embodiment, based on the process of extrusion forming, adhesive bonding and the like of a doorframe, an upright post, a window beam and the like of an all-aluminum body framework of a certain lightweight pure electric passenger vehicle, a thin-wall beam structural element is defined as a section geometric form of an outer-layer semicircular surface and an inner complex reinforcing structure, a 6060-T66 mark in 6XXX series aluminum alloy is selected, and the density, the Poisson ratio and a uniaxial tensile stress-strain curve of the material are measured to be used as simulation input.
In the step B, two types of thin-wall beam internal reinforcing structures are defined, as shown in fig. 2, one type is a basic geometric shape, and the method includes: circular, elliptical, rectangular, triangular, and trapezoidal; as shown in fig. 3, the other type is a reinforcing bar comprising: horizontal and vertical two directions, each 1 ~ 3 strengthening ribs of every direction.
As shown in fig. 4 and 5, in the step C, a side impact finite element model of each thin-wall beam is established, and the reliability of modeling is verified under a quasi-static working condition by performing three-point bending simulation and test comparison on the basic aluminum alloy thin-wall beam without the internal reinforcing structure. In the embodiment, a Hyperworks module based on Hyperworks software establishes a side impact finite element model and a simulation working condition of each thin-wall beam, Ls-Dyna is used as a solver to perform three-point bending simulation and test on the basic aluminum alloy thin-wall beam without an internal reinforcing structure, and the reliability of modeling is verified under a quasi-static working condition by comparing a force-displacement curve of a punch.
In the step D, defining crashworthiness design indexes based on the bending resistance of the thin-wall beam and the stability of the collision process, wherein the crashworthiness design indexes comprise the structural total specific energy absorption SEA of the thin-wall beamtotalMaximum collision force CFmaxAverage collision force CFavgAnd the coefficient of impact force CFE,
wherein F (x) is the impact force of the punch, the impact stroke and the mass of the thin-wall beam;
wherein CF (l) is the acting force of the punch when the collision stroke is lmm;
and E, analyzing various impact resistance indexes of the aluminum alloy thin-wall beam under different design schemes, namely the total specific energy absorption, the maximum impact force, the average impact force and the impact force coefficient of the aluminum alloy thin-wall beam series through side impact simulation contrast, considering the bending resistance and the stability of the impact process of the thin-wall beam, and selecting the thin-wall beam section with the optimal comprehensive performance as a final topological form.
And in the step F, the thin-wall beam under the wall thickness combination of each part is extracted as a sample point based on a test design method, and a corresponding crashworthiness design index is obtained through side impact simulation. In the embodiment, the DOE module of HyperStudy software is provided with the variation range of design variables and the number of sample points, a Latin hypercube test design method is selected to extract the sample points, and the sample point data is stored in a sample pool database; and introducing the thin-wall beam model sample into Ls-Dyna for solving and calculating, and performing post-processing through Hyperview software to obtain the total specific energy absorption and the maximum impact force of the structure corresponding to the thin-wall beam sample.
And in the step G, an RBF proxy model is constructed in a Fit module of Hyperstudy software according to the sample points in the thin-wall beam sample pool database and the corresponding structural total specific energy absorption value and the maximum impact simulation value.
And in the step H, the wall thickness of each part of the thin-wall beam is used as a design variable, the design indexes of related energy absorption and safety collision resistance are improved and used as optimization targets, a proxy model optimization problem mathematical model is constructed, an advanced optimization algorithm is adopted to solve the proxy model optimization problem to obtain the pareto front, and a thin-wall beam wall thickness matching scheme is selected. In the embodiment, in an Optimization module of HyperStudy software, a multi-objective Optimization problem of a proxy model is defined by taking the minimized maximum collision force and the maximized structural total specific absorption energy as Optimization targets, an MOGA Optimization algorithm is adopted to solve the Optimization problem to obtain a pareto optimal solution set of the wall thickness of a thin-wall beam, an inflection point in the front edge of the pareto is extracted based on the following formula to serve as a design scheme of the thin-wall beam,
where N is the number of target equations, fcτD is the euclidean distance from the "inflection point" to the "ideal point" for the corresponding τ -th objective function value in the C-th pareto optimal solution.
In the step I, as shown in FIG. 6, complementary sample points are generated, thin-wall beam models corresponding to the complementary points are guided into Ls-Dyna to be solved and calculated, structural overall specific absorption energy and maximum impact force corresponding to the samples are obtained through aftertreatment by Hyperview software, and the structural overall specific absorption energy and the maximum impact force are added into a sample pool database.
In the step J, after a new sample point is generated and the RBF model is updated, a new round of multi-target optimization is executed, and when the pareto front obtained by the optimization and the optimization of the last time meet the following formula, the pareto front is considered to be not changed greatly after the optimization is performed twice, and the algorithm is converged; otherwise, returning to the step I for iterative optimization until the condition algorithm convergence is met.
In the formula, mean represents an average value, R is an approximate value of a crashworthiness design target, i represents the ith design target, EP (last) represents a pareto front edge end point obtained by last optimization, EP (current) represents a pareto front edge end point obtained by current optimization, POF (last) represents a pareto front edge obtained by last optimization, POF (current) represents a pareto front edge obtained by current optimization, the default value of eta is 5%, and a designer can adjust the design according to actual conditions.
The invention establishes a design and optimization method for side collision resistance of the aluminum alloy thin-wall beam for the vehicle based on collision simulation and surrogate model optimization technology, improves the comprehensive side collision resistance of the thin-wall beam by reasonably matching the wall thickness of each part after determining the cross section form of the beam, and has important significance for the development of passive safety simulation technology of the vehicle.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (9)
1. A method for designing and optimizing side impact resistance of an aluminum alloy thin-wall beam for a vehicle is characterized by comprising the following steps:
A. defining structural characteristics and material selection of the aluminum alloy thin-wall beam;
B. designing an internal reinforcing structure of the aluminum alloy thin-wall beam;
C. finite element modeling and test verification;
D. defining a crashworthiness design index;
E. determining the topological form of the section of the thin-wall beam;
F. constructing a thin-wall beam sample cell through wall thickness combination;
G. constructing a display mathematical relation between the wall thickness of the thin-wall beam and each crashworthiness design index based on the proxy model;
H. defining and solving an approximate multi-objective optimization problem;
I. generating a supplementary sample point based on a sample adding criterion and adding the supplementary sample point into a thin-wall beam sample pool database;
J. judging whether the optimization convergence criterion is met, if so, finishing the optimization iteration; if not, updating the proxy model based on the sample point database after adding points, and optimizing iteration until the convergence requirement is met.
2. The method for designing and optimizing the side impact resistance of the automotive aluminum alloy thin-walled beam according to claim 1, wherein the method comprises the following steps: in the step A, a combination form of an outer layer regular geometric shape and an inner complex reinforcing structure is defined, a common aluminum alloy mark of a bearing structural member is selected, and a material stress-strain curve is obtained through uniaxial tension.
3. The method for designing and optimizing the side impact resistance of the automotive aluminum alloy thin-walled beam according to claim 1, wherein the method comprises the following steps: and in the step B, defining the internal reinforcing structure of the thin-wall beam as a basic geometric shape or a reinforcing rib.
4. The method for designing and optimizing the side impact resistance of the automotive aluminum alloy thin-walled beam according to claim 1, wherein the method comprises the following steps: and C, establishing a side impact finite element model of each thin-wall beam, and verifying the reliability of modeling under a quasi-static working condition by performing three-point bending simulation and test comparison on the basic aluminum alloy thin-wall beam without the internal reinforcing structure.
5. The method for designing and optimizing the side impact resistance of the automotive aluminum alloy thin-walled beam according to claim 1, wherein the method comprises the following steps: in the step D, defining crashworthiness design indexes based on the bending resistance of the thin-wall beam and the stability of the collision process, wherein the crashworthiness design indexes comprise the structural total specific energy absorption SEA of the thin-wall beamtotalMaximum collision force CFmaxAverage collision force CFavgAnd the coefficient of impact force CFE,
wherein F (x) is the impact force of the punch, the impact stroke and the mass of the thin-wall beam;
wherein CF (l) is the acting force of the punch when the collision stroke is lmm;
6. the method for designing and optimizing the side impact resistance of the automotive aluminum alloy thin-walled beam according to claim 1, wherein the method comprises the following steps: and E, analyzing various impact resistance indexes of the aluminum alloy thin-wall beam under different design schemes through side impact simulation comparison, and selecting the thin-wall beam section with the optimal comprehensive performance as a final topological form.
7. The method for designing and optimizing the side impact resistance of the automotive aluminum alloy thin-walled beam according to claim 1, wherein the method comprises the following steps: and in the step F, the thin-wall beam under the wall thickness combination of each part is extracted as a sample point based on a test design method, and a corresponding crashworthiness design index is obtained through side impact simulation.
8. The method for designing and optimizing the side impact resistance of the automotive aluminum alloy thin-walled beam according to claim 1, wherein the method comprises the following steps: and in the step H, the wall thickness of each part of the thin-wall beam is used as a design variable, the design indexes of related energy absorption and safety collision resistance are improved and used as optimization targets, a proxy model optimization problem mathematical model is constructed, an advanced optimization algorithm is adopted to solve the proxy model optimization problem to obtain the pareto front, and a thin-wall beam wall thickness matching scheme is selected.
9. The method for designing and optimizing the side impact resistance of the automotive aluminum alloy thin-walled beam according to claim 1, wherein the method comprises the following steps: in the step J, after a new sample point is generated and the RBF model is updated, a new round of multi-target optimization is executed, and when the pareto front obtained by the optimization and the optimization of the last time meet the following formula, the pareto front is considered to be not changed greatly after the optimization is performed twice, and the algorithm is converged; otherwise, returning to the step I for iterative optimization until the condition algorithm convergence is met,
in the formula, mean represents an average value, R is an approximate value of a crashworthiness design target, i represents the ith design target, EP (last) represents the pareto front edge end point obtained by the last optimization, EP (current) represents the pareto front edge end point obtained by the current optimization, POF (last) represents the pareto front edge obtained by the last optimization, POF (current) represents the pareto front edge obtained by the current optimization, and the default value of eta is 5%.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010773278.8A CN112016160A (en) | 2020-08-04 | 2020-08-04 | Design and optimization method for side impact resistance of automotive aluminum alloy thin-wall beam |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010773278.8A CN112016160A (en) | 2020-08-04 | 2020-08-04 | Design and optimization method for side impact resistance of automotive aluminum alloy thin-wall beam |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112016160A true CN112016160A (en) | 2020-12-01 |
Family
ID=73499986
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010773278.8A Pending CN112016160A (en) | 2020-08-04 | 2020-08-04 | Design and optimization method for side impact resistance of automotive aluminum alloy thin-wall beam |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112016160A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113032897A (en) * | 2021-03-04 | 2021-06-25 | 江苏大学 | Method and system for solving sub-area HCA (hydrogen chloride A) optimized by thin-wall framework structure material |
| CN113361148A (en) * | 2021-08-09 | 2021-09-07 | 中汽研汽车检验中心（天津）有限公司 | Method for recognizing vehicle frontal collision type and judging severity |
| US12032885B2 (en) | 2021-03-04 | 2024-07-09 | Jiangsu University | Material-based subdomain hybrid cellular automata algorithm for material optimization of thin-walled frame structures |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108984901A (en) * | 2018-07-13 | 2018-12-11 | 湖南大学 | A kind of automobile body crash-worthiness optimization method |
| CN109063389A (en) * | 2018-09-28 | 2018-12-21 | 重庆长安汽车股份有限公司 | A kind of vehicle structure lightweight forward design method and system based on more performance constraints |
| CN109255144A (en) * | 2018-07-09 | 2019-01-22 | 南京航空航天大学 | A kind of undercarriage braking member light-weight design method |
-
2020
- 2020-08-04 CN CN202010773278.8A patent/CN112016160A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109255144A (en) * | 2018-07-09 | 2019-01-22 | 南京航空航天大学 | A kind of undercarriage braking member light-weight design method |
| CN108984901A (en) * | 2018-07-13 | 2018-12-11 | 湖南大学 | A kind of automobile body crash-worthiness optimization method |
| CN109063389A (en) * | 2018-09-28 | 2018-12-21 | 重庆长安汽车股份有限公司 | A kind of vehicle structure lightweight forward design method and system based on more performance constraints |
Non-Patent Citations (5)
| Title |
|---|
| CHENG LIN等: "An intelligent sampling approach for metamodel-based multi-objective optimization with guidance of the adaptive weighted-sum method", 《STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION》 * |
| 兰凤崇等: "连续变截面板(TRB板)在汽车前纵梁中的应用及优化分析", 《机械设计与制造》 * |
| 徐成龙等: "变截面S形薄壁梁的设计与耐撞性研究", 《机械设计与制造》 * |
| 汤春球等: "基于拉丁超立方抽样的薄壁梁抗弯性能研究", 《汽车技术》 * |
| 高丰岭等: "汽车结构耐撞性设计与优化研究综述", 《汽车实用技术》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113032897A (en) * | 2021-03-04 | 2021-06-25 | 江苏大学 | Method and system for solving sub-area HCA (hydrogen chloride A) optimized by thin-wall framework structure material |
| WO2022183540A1 (en) * | 2021-03-04 | 2022-09-09 | 江苏大学 | Subdomain hca method for solving for optimization of thin-walled framework structure material |
| CN113032897B (en) * | 2021-03-04 | 2023-09-26 | 江苏大学 | Method and system for solving sub-region HCA (hydrogen chloride) optimized by thin-wall framework structure material |
| US12032885B2 (en) | 2021-03-04 | 2024-07-09 | Jiangsu University | Material-based subdomain hybrid cellular automata algorithm for material optimization of thin-walled frame structures |
| CN113361148A (en) * | 2021-08-09 | 2021-09-07 | 中汽研汽车检验中心（天津）有限公司 | Method for recognizing vehicle frontal collision type and judging severity |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107235024B (en) | Variable-thickness gradient negative poisson ratio automobile buffering energy-absorbing structure and optimization method thereof | |
| KR101070163B1 (en) | Method and device for designing member, and computer-readable recording medium recording a computer program | |
| CN112016160A (en) | Design and optimization method for side impact resistance of automotive aluminum alloy thin-wall beam | |
| CN111475977B (en) | Automobile white body lightweight design method based on collision performance optimization | |
| CN103455692A (en) | Two-step optimization design method for automotive body section shape | |
| Wang et al. | Multidisciplinary design optimization for front structure of an electric car body-in-white based on improved collaborative optimization method | |
| Park et al. | Multi-objective optimization of an automotive body component with fiber-reinforced composites | |
| Gao et al. | Multi–disciplinary optimisation for front auto body based on multiple optimisation methods | |
| CN116306156B (en) | Vehicle body optimization method and device, storage medium and electronic equipment | |
| CN112417608A (en) | Vehicle door model construction method and system, electronic device and storage medium | |
| CN110941903B (en) | Automobile front bumper beam anti-collision performance optimization method based on DOE | |
| JP7147479B2 (en) | Structural design support method | |
| Zahedan et al. | Experimental and numerical investigation on bending strength of the vehicle bumper beam with internal stiffeners | |
| CN115935522A (en) | Optimization method of lightweight mixed material automobile B-pillar structure | |
| CN108038308A (en) | A kind of construction design method of aluminium alloy compression casting damping tower | |
| Zahedan et al. | Experimental and numerical investigation on the multi-optimization of reinforcing the side members of the vehicle structure | |
| Ying et al. | Crashworthiness analysis and optimization of multi-functional gradient foam-aluminum filled hierarchical thin-walled structures | |
| Lee et al. | Fatigue and buckling analysis of automotive components considering forming and welding effects | |
| CN114186335B (en) | Optimal design method for automobile frame | |
| CN107563013A (en) | Vehicle accessory of D braided composites and preparation method thereof | |
| CN113127978A (en) | Optimization method for light weight of instrument board beam | |
| CN112182740A (en) | Parametric model section-based threshold structure optimization method | |
| CN114722536B (en) | Method for obtaining outer contour line of initial blank formed by cap-shaped piece chain die | |
| CN113722831B (en) | Beam bending energy absorption analysis method for multi-cell thin wall of two-end fixedly supported Z-direction rib plate | |
| CN113032897B (en) | Method and system for solving sub-region HCA (hydrogen chloride) optimized by thin-wall framework structure material |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20201201 |