CN106777504A - Vehicle pattern vehicle body torsion mode recognition methods - Google Patents
Vehicle pattern vehicle body torsion mode recognition methods Download PDFInfo
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Abstract
The invention discloses a kind of vehicle pattern vehicle body torsion mode recognition methods, comprise the following steps：(a), whole vehicle model piecemeal；The identification constraint of (b), torsion mode；C (), vehicle body integrally reverse framework identification, including vehicle body integrally reverses 18 recognition methods and vehicle body integrally reverses 12 point frame recognition methods, and optional one of which carries out vehicle body and integrally reverses framework identification；D (), body tail reverse 15 points of identifications；E (), body forward structure reverse 8 points of identifications；F (), vehicle vehicle body reverse section identification.Vehicle pattern under body is reversed carries out modal idenlification, can implement strong, can be prevented effectively from the mode erroneous judgement of generation vehicle.
Description
Technical field
The present invention relates to the simulation analysis technical field of vehicle Car body model, and in particular to a kind of vehicle pattern vehicle body is reversed
Modal identification method.
Background technology
Torsion mode is an important job defined in NVH performance simulation processes, but due to reorganizing and outfit vehicle body, vehicle
Structure it is complex, the multiple systems such as interior trim, exterior trim, electrical equipment, chassis, braking, and each are also included in addition to vehicle body
System is interacted, intercouples, and mistake is often encountered difficulties or recognized on torsion mode order is defined.
The content of the invention
The present invention is improved for above-mentioned technical problem, it is desirable to provide a kind of vehicle pattern vehicle body torsion mode identification side
Method, it is to avoid the erroneous judgement of vehicle mode occurs.
Therefore, the technical solution adopted in the present invention is：A kind of vehicle pattern vehicle body torsion mode recognition methods, including with
Lower step：
(a), whole vehicle model piecemeal：
First vehicle lumped mass point and shutter member are removed, vehicle is divided into tire, tank bracket, vehicle body A posts, automobile body B
Post, body C pillar, body rear end, wherein vehicle body A posts, center body pillar, body C pillar are the main identification of torsion mode under vehicle pattern
Response point, tire is constraint translation and rotational freedom；
The identification constraint of (b), torsion mode：
Torsion mode recognizes the position of obligatory point under vehicle pattern, by gun turret, left back behind right front turret, left front gun turret, the right side
Gun turret, frame assembly composition, specific constraint and combination are as shown in Table 1；
C (), vehicle body integrally reverse framework identification, vehicle body introduced below integrally reverses 18 recognition methods and vehicle body is integrally turned round
Turn 12 point frame recognition methods, optional one of which carries out vehicle body and integrally reverses framework identification；
Vehicle body integrally reverses 18 recognition methods：Vehicle body left and right side is each provided with 9 response points, including by vehicle body A posts three
3 response points of decile, 3 response points of center body pillar trisection, 3 response points of body C pillar trisection, together constitute
Vehicle body integrally reverses 18 response points；Each front-wheel obligatory point of vehicle body left and right side, trailing wheel obligatory point, constitute 4 constraints of vehicle body
Point, gun turret, left back gun turret encourage points as 4 of vehicle body behind right front turret, left front gun turret, the right side, by 9 response points in left side
Response curve and average calculating operation obtain resultant curve one, and the response curve of 9 response points on right side and average calculating operation are closed
Into curve two, resultant curve one subtracts resultant curve two and obtains resultant curve three, and resultant curve one plus resultant curve two are synthesized
Curve four, average calculating operation is finally done to resultant curve three, resultant curve four and obtains resultant curve five, and resultant curve one rings for left side
Point set is answered, resultant curve two is that right side responds point set, and resultant curve five is and averagely averagely gathers with difference, compares synthesis bent
Line one, resultant curve two, resultant curve five, vehicle body entirety torsional frequency is in peak of curve overlapping region；
Vehicle body integrally reverses 12 point frame recognition methods：5 response points are each provided with along vehicle body left and right side, before ceiling
Crossbeam middle part is provided with 1 response point, and 1 response point is provided with the middle part of back doorframe, collectively forms what vehicle body was integrally reversed
12 response points, each front-wheel obligatory point of vehicle body left and right side, trailing wheel obligatory point constitute 4 obligatory points of vehicle body, right front turret, a left side
Gun turret, left back gun turret encourage points as 4 of vehicle body behind front turret, the right side；By 5, the left side response curve of response point and average fortune
Calculation obtains resultant curve one, the response curve of 5, right side response point and average calculating operation is obtained into resultant curve two, before and after ceiling
The response curve of 6 response points and average calculating operation obtain resultant curve three, and resultant curve one is subtracted into resultant curve two is synthesized
Curve four, resultant curve five is obtained by resultant curve one plus resultant curve two, by resultant curve four, resultant curve five and average fortune
Calculation obtains resultant curve six, and contrast resultant curve four, the peak value overlapping region of resultant curve five are overall torsional frequency.
D (), body tail reverse 15 points of identifications：
As shown in figure 5, in circumferentially disposed 15 response points of back door, 15 response points are around back door in clockwise point
Cloth, wherein response point 5, response point 6, response point 7 are located at directly over back door, and response point 13, response point 14, response point 15 are located at
Immediately below back door, gun turret is 2 excitation points after left back gun turret and the right side, by the response curve and response point 13 of response point 5,6,7,
14th, 15 response curve and average calculating operation obtains resultant curve one, and the response of response point 1,2,3,4,8,9,10,11,12 is bent
Line and average calculating operation obtain resultant curve two, and contrast resultant curve one and the crest frequency overlapping region of resultant curve two are for after vehicle body
Portion's torsional frequency；
E (), body forward structure reverse 8 points of identifications：
8 response points are set up and down in tank bracket, 8 response points are distributed around tank bracket in counterclockwise, its
Middle response point 4 is located at water tank sill centre position, and response point 8 is located at water tank upper beam centre position, before left front gun turret and the right side
Gun turret is 2 excitation points, and the response curve and average calculating operation of the response curve of response point 1,2,3 and response point 5,6,7 are obtained
Resultant curve one, resultant curve two, contrast resultant curve one and synthesis are obtained by the response curve of response point 4,8 and average calculating operation
The crest frequency overlapping region of curve two is body forward structure torsional frequency；
F (), vehicle vehicle body reverse section identification：
Three subregion before, during and after vehicle body is divided into, body forward structure line of cut is response point section 1, and body tail is cut
Secant is response point section 2, draws response point curve displacement figure, and according to anterior, rear portion and the overall recognition methods reversed
The crest frequency of coincidence is drawn, response point relative shift and unique vibration shape cloud atlas determination office in the case where each crest frequency is contrasted
Portion and overall torsion mode, judgment principle are closer to for peak value, and the relative displacement of Response to selection position is larger and vibration mode is
The first-order modal of the horizontal changing of the relative positions.
Preferably, during the vehicle body integrally reverses 12 point frame recognition methods, if resultant curve three, the peak of resultant curve five
Value frequency has multiple and is difficult to judge, then need to carry out comparing calculation with the relative deformation of ceiling frame, the diagonal at ceiling
Position carries out virtual displacement unit foundation, and the cornerwise displacement relative quantity of ceiling of the multiple crest frequencies of contrast is judged, selected
With the big peak value of deflection as overall torsional frequency.
Preferably, during the body tail reverses 15 recognition methods, if resultant curve one, resultant curve two occur it is many
Individual coincidence crest frequency then carries out crest frequency investigation by imaginary line method, vehicle body back door displacement curve is connected into upper small
A-B-C-D displacement bending vibation mode pictures of big, symmetrical closing down, and connect diagonal and form two curves of L1 and L2, it is many having
When individual crest frequency occurs, the displacement deformation amount difference and A-B-C-D displacement bending vibation mode pictures of reduced parameter L1 and L2 are investigated,
If A-B-C-D displacements bending vibation mode picture is torsional frequency when being the horizontal changing of the relative positions and maximum L1, L2 relative displacement deflection.
Preferably, during the body forward structure reverses 8 recognition methods, if resultant curve one, resultant curve two occur it is many
Individual coincidence crest frequency then carries out crest frequency investigation by imaginary line method, and tank bracket displacement curve is connected into rectangular
A-B-C-D displacement bending vibation mode pictures, and connect diagonal formation two curves of L1 and L2, when there is multiple crest frequencies to occur, contrast
The displacement deformation amount difference and A-B-C-D displacement bending vibation mode pictures of parameter L1 and L2 are investigated, if A-B-C-D displacement bending vibation mode pictures
It is torsional frequency during for the horizontal changing of the relative positions and maximum L1, L2 relative displacement deflection.
Beneficial effects of the present invention：Vehicle is first carried out into block model, and determines to recognize the way of restraint under torsion mode, then
Recognition methods, body tail are integrally reversed with reference to vehicle body and reverses recognition methods, body forward structure torsion recognition methods and vehicle vehicle body
Section method of identification is reversed, vehicle pattern under body is reversed carries out modal idenlification, can implement strong, generation vehicle mould can be prevented effectively from
State is judged by accident.
Brief description of the drawings
Fig. 1 is whole vehicle model segmented areas figure.
Fig. 2 is that torsion mode recognizes constrained figure.
Fig. 3 integrally reverses 18 recognition methods obligatory points and response point distributing position for vehicle body.
Fig. 4 integrally reverses 12 point frame recognition methods response point distributing positions for vehicle body.
Fig. 5 is back door response point distribution map.
Fig. 6 is back door imaginary line method.
Fig. 7 is water tank response point distribution map.
Fig. 8 is water tank imaginary line method.
Fig. 9 is that vehicle vehicle body reverses section identification region layout drawing.
Figure 10 is response point section 1. profile diagram.
Figure 11 is response point section 2. profile diagram.
Specific embodiment
Below by embodiment and with reference to accompanying drawing, the invention will be further described：
A kind of vehicle pattern vehicle body torsion mode recognition methods, comprises the following steps：
(a), whole vehicle model piecemeal：
As shown in figure 1, first vehicle lumped mass point and shutter member are removed, by vehicle be divided into tire 1., tank bracket 2.,
Vehicle body A posts 3., center body pillar 4., body C pillar 5., body rear end 6., wherein vehicle body A posts 3., center body pillar 4., body C pillar be 5.
1. the main identification response point of torsion mode under vehicle pattern, tire is constraint translation and rotational freedom.
The identification constraint of (b), torsion mode：
As shown in Fig. 2 under vehicle pattern torsion mode recognize obligatory point position, by right front turret 1., left front gun turret 2.,
Behind the right side gun turret 3., left back gun turret 4., frame assembly 5. constitute, specific constraint and combination are as shown in Table 1.
Body forward structure reverse vehicle frame right front turret 1., left front gun turret 2. locate apply reverse energization, while about tires
The 1-6 frees degree；Body tail reverse vehicle frame the right side after gun turret 3., left back gun turret 4. locate apply reverse energization, while constrain wheel
The tire 1-6 frees degree；Vehicle body integrally reverse right front turret 1., left front gun turret 2. locate to apply reverse energization, behind the right side gun turret 3., it is left
4. gun turret is located to apply reverse energization afterwards, while the about tires 1-6 frees degree.
C (), vehicle body integrally reverse framework identification, vehicle body introduced below integrally reverses 18 recognition methods and vehicle body is integrally turned round
Turn 12 point frame recognition methods, optional one of which carries out vehicle body and integrally reverses framework identification.
Vehicle body integrally reverses 18 recognition methods：As shown in figure 3, vehicle body left and right side is each provided with 9 response points, including
By 3 response points of vehicle body A post trisections 2., 3., 4., 3 response points of center body pillar trisection 5., 6., 7., body C pillar three
8., 9., 10. 3 response points of decile, together constitute vehicle body and integrally reverse 18 response points；Each front-wheel of vehicle body left and right side is about
Spot 1., trailing wheel obligatory point4 obligatory points of vehicle body are constituted, gun turret, left back gun turret are made behind right front turret, left front gun turret, the right side
4 for vehicle body are encouraged point, the response curve of 9 response points in left side and average calculating operation are obtained into resultant curve one, by right side
9 response points response curve and average calculating operation obtain resultant curve two, resultant curve one subtracts resultant curve two and is synthesized
Curve three, resultant curve one plus resultant curve two obtain resultant curve four, and finally resultant curve three, resultant curve four are done averagely
Computing obtains resultant curve five, and resultant curve one is that left side responds point set, and resultant curve two is that right side responds point set, synthesis
Curve five is and set averagely average with difference to compare resultant curve one, resultant curve two, resultant curve five, in peak of curve weight
Close region and be vehicle body entirety torsional frequency.
Vehicle body integrally reverses 12 point frame recognition methods：As shown in figure 4, being each provided with 5 responses along vehicle body left and right side
Point, is provided with 1 response point in the middle part of ceiling front beam, and 1 response point is provided with the middle part of back doorframe, collectively forms vehicle body
Overall 12 response points reversed, each front-wheel obligatory point of vehicle body left and right side, trailing wheel obligatory point constitute 4 obligatory points of vehicle body,
Gun turret, left back gun turret encourage points as 4 of vehicle body behind right front turret, left front gun turret, the right side；By the response of response point of 5, left side
Curve and average calculating operation obtain resultant curve one, and the response curve of 5, right side response point and average calculating operation are obtained into resultant curve
Two, the response curve of 6 response points before and after ceiling and average calculating operation are obtained into resultant curve three, it is bent that resultant curve one is subtracted into synthesis
Line two obtains resultant curve four, and resultant curve one plus resultant curve two are obtained into resultant curve five, and resultant curve four, synthesis is bent
Line five and average calculating operation obtain resultant curve six, and contrast resultant curve four, the peak value overlapping region of resultant curve five are overall torsion
Frequency.
Vehicle body is integrally reversed in 12 point frame recognition methods, if resultant curve three, the crest frequency of resultant curve five have many
Individual and be difficult to judge, then need to carry out comparing calculation with the relative deformation of ceiling frame, diagonal positions carry out void at ceiling
Intend displacement unit to set up, the cornerwise displacement relative quantity of ceiling of the multiple crest frequencies of contrast is judged, big from deflection
Peak value as overall torsional frequency.
D (), body tail reverse 15 points of identifications：
As shown in figure 5, in circumferentially disposed 15 response points of back door, 15 response points are around back door in clockwise point
Cloth, it is preferable that 15 circular back doors of response points are approached and are equidistantly uniformly distributed.Wherein response point 5., response point 6., response point 7.
Directly over back door, response pointResponse pointResponse pointImmediately below back door.Big gun after left back gun turret and the right side
Tower is 2 excitation points, by response point response curve 5., 6., 7. and response pointResponse curve and average
Computing obtains resultant curve one, by response point 1., 2., 3., 4., 8., 9., 10.,Response curve and average calculating operation obtain
To resultant curve two, contrast resultant curve one and the crest frequency overlapping region of resultant curve two are body tail torsional frequency.
Body tail is reversed in 15 recognition methods, if multiple coincidence peak values occur in resultant curve one, resultant curve two
Frequency then carries out crest frequency investigation by imaginary line method.Specific method is：As shown in fig. 6, the displacement of vehicle body back door is bent
Line connects into the A-B-C-D displacement bending vibation mode pictures of up-small and down-big, symmetrical closing, i.e. A-B-C-D displacements bending vibation mode picture and vehicle body
Back door profile correspondence, and connect diagonal formation two curves of L1 and L2.When there is multiple crest frequencies to occur, reduced parameter
The displacement deformation amount difference and A-B-C-D displacement bending vibation mode pictures of L1 and L2 are investigated, if A-B-C-D displacements bending vibation mode picture is horizontal stroke
It is torsional frequency during to the changing of the relative positions and maximum L1, L2 relative displacement deflection, it is non-twisted frequency that remaining is investigated.
E (), body forward structure reverse 8 points of identifications：
As shown in fig. 7, setting 8 response points up and down in tank bracket, 8 response points are in the inverse time around tank bracket
Pin is distributed, it is preferable that 8 circular tank brackets of response points are approached and are equidistantly uniformly distributed.Wherein 4. response point is located at horizontal stroke under water tank
8. beam centre position, response point is located at water tank upper beam centre position, and left front gun turret and right front turret are 2 excitation points, by sound
Response curve and response point 1., 2., 3. response curve 5., 6., 7. should be put and average calculating operation obtains resultant curve one, by sound
Response curve 4., 8. should be put and average calculating operation obtains resultant curve two, contrast resultant curve one and the peak value of resultant curve two are frequently
Rate overlapping region is body forward structure torsional frequency.
Body forward structure is reversed in 8 recognition methods, if as shown in figure 8, multiple occur in resultant curve one, resultant curve two
Coincidence crest frequency then carries out crest frequency investigation by imaginary line method, and tank bracket displacement curve is connected into rectangular A-
B-C-D displacement bending vibation mode pictures, i.e. A-B-C-D displacements bending vibation mode picture are corresponding with tank bracket profile, and connect diagonal formation L1 and L2
Two curves.When there is multiple crest frequencies to occur, the displacement deformation amount difference of reduced parameter L1 and L2 and A-B-C-D displacements
Bending vibation mode picture is investigated, if A-B-C-D displacements bending vibation mode picture is torsion when being the horizontal changing of the relative positions and maximum L1, L2 relative displacement deflection
Turn frequency, it is non-twisted frequency that remaining is investigated.
F (), vehicle vehicle body reverse section identification：
As shown in figure 9, three subregion before, during and after vehicle body is divided into, body forward structure line of cut is response point section
1., body tail line of cut is that 2. response point cuts into slices, and draws response point curve displacement figure (such as Fig. 9, Figure 10), and according to it is anterior,
Rear portion and the overall recognition methods reversed draw the crest frequency of coincidence, and the response point in the case where each crest frequency is contrasted is relative
Displacement and unique vibration shape cloud atlas determine local and overall torsion mode, and judgment principle is closer to then Response to selection position for peak value
Put that relative displacement is larger and vibration mode be the horizontal changing of the relative positions first-order modal.
Claims (4)
1. a kind of vehicle pattern vehicle body torsion mode recognition methods, it is characterised in that comprise the following steps：
(a), whole vehicle model piecemeal：
First vehicle lumped mass point and shutter member are removed, vehicle is divided into tire, tank bracket, vehicle body A posts, center body pillar, car
Body C posts, body rear end, wherein vehicle body A posts, center body pillar, body C pillar are the main identification response of torsion mode under vehicle pattern
Point, tire is constraint translation and rotational freedom；
The identification constraint of (b), torsion mode：
Under vehicle pattern torsion mode recognize obligatory point position, by right front turret, left front gun turret, the right side after gun turret, left back gun turret,
Frame assembly is constituted, and specific constraint and combination are as shown in Table 1；
C (), vehicle body integrally reverse framework identification, vehicle body introduced below integrally reverses 18 recognition methods and vehicle body integrally reverses 12
Point frame recognition methods, optional one of which carries out vehicle body and integrally reverses framework identification；
Vehicle body integrally reverses 18 recognition methods：Vehicle body left and right side is each provided with 9 response points, including by vehicle body A post trisections
3 response points, 3 response points of center body pillar trisection, 3 response points of body C pillar trisection, together constitute vehicle body
It is overall to reverse 18 response points；Each front-wheel obligatory point of vehicle body left and right side, trailing wheel obligatory point, constitute 4 obligatory points of vehicle body, right
Gun turret, left back gun turret encourage points as 4 of vehicle body behind front turret, left front gun turret, the right side, by 9 responses of response point in left side
Curve and average calculating operation obtain resultant curve one, and it is bent that the response curve of 9 response points on right side and average calculating operation are obtained into synthesis
Line two, resultant curve one subtracts resultant curve two and obtains resultant curve three, and resultant curve one plus resultant curve two obtain resultant curve
Four, average calculating operation is finally done to resultant curve three, resultant curve four and obtains resultant curve five, resultant curve one is left side response point
Gather, resultant curve two is that right side responds point set, and resultant curve five is and averagely averagely gathers with difference, compares resultant curve
First, resultant curve two, resultant curve five, vehicle body entirety torsional frequency is in peak of curve overlapping region；
Vehicle body integrally reverses 12 point frame recognition methods：5 response points are each provided with along vehicle body left and right side, in ceiling front beam
Middle part is provided with 1 response point, and 1 response point is provided with the middle part of back doorframe, collectively forms 12 that vehicle body is integrally reversed
Response point, each front-wheel obligatory point of vehicle body left and right side, trailing wheel obligatory point constitute 4 obligatory points of vehicle body, right front turret, left front big gun
Gun turret, left back gun turret encourage points as 4 of vehicle body behind tower, the right side；The response curve of 5, left side response point and average calculating operation are obtained
To resultant curve one, the response curve of 5, right side response point and average calculating operation are obtained into resultant curve two, by 6 before and after ceiling
The response curve of response point and average calculating operation obtain resultant curve three, and resultant curve one is subtracted into resultant curve two obtains resultant curve
Four, resultant curve one plus resultant curve two are obtained into resultant curve five, resultant curve four, resultant curve five and average calculating operation are obtained
To resultant curve six, contrast resultant curve four, the peak value overlapping region of resultant curve five are overall torsional frequency；
D (), body tail reverse 15 points of identifications：
In circumferentially disposed 15 response points of back door, 15 response points around back doors in distribution clockwise, wherein response point 5,
Response point 6, response point 7 are located at directly over back door, and response point 13, response point 14, response point 15 are located at immediately below back door, left
Afterwards gun turret and the right side after gun turret be 2 excitation points, by the response curve of response point 5,6,7 and the response curve of response point 13,14,15
Resultant curve one is obtained with average calculating operation, the response curve of response point 1,2,3,4,8,9,10,11,12 and average calculating operation are obtained
Resultant curve two, contrast resultant curve one and the crest frequency overlapping region of resultant curve two are body tail torsional frequency；
E (), body forward structure reverse 8 points of identifications：
8 response points are set up and down in tank bracket, 8 response points are distributed around tank bracket in counterclockwise, wherein ringing
4 should be put and be located at water tank sill centre position, response point 8 is located at water tank upper beam centre position, left front gun turret and right front turret
It is 2 excitation points, the response curve and average calculating operation of the response curve of response point 1,2,3 and response point 5,6,7 is synthesized
Curve one, resultant curve two is obtained by the response curve of response point 4,8 and average calculating operation, contrasts resultant curve one and resultant curve
Two crest frequency overlapping regions are body forward structure torsional frequency；
F (), vehicle vehicle body reverse section identification：
Three subregion before, during and after vehicle body is divided into, body forward structure line of cut is response point section 1, body tail line of cut
It is response point section 2, draws response point curve displacement figure, and draw according to anterior, rear portion and the overall recognition methods reversed
The crest frequency of coincidence, response point relative shift and unique vibration shape cloud atlas in the case where each crest frequency is contrasted determine it is local and
Overall torsion mode, judgment principle is closer to that then Response to selection position relative displacement is larger and vibration mode is for laterally for peak value
The first-order modal of the changing of the relative positions.
2. according to the vehicle pattern vehicle body torsion mode recognition methods described in claim 1, it is characterised in that：The vehicle body entirety
Reverse in 12 point frame recognition methods, if resultant curve three, the crest frequency of resultant curve five have multiple and be difficult to judge, need
Comparing calculation is carried out with the relative deformation of ceiling frame, diagonal positions carry out virtual displacement unit foundation at ceiling, right
Displacement relative quantity more cornerwise than the ceiling of multiple crest frequencies is judged, from the big peak value of deflection as overall torsion
Frequency.
3. according to the vehicle pattern vehicle body torsion mode recognition methods described in claim 1, it is characterised in that：The body tail
In 15 recognition methods of torsion, by virtual song if there are multiple coincidence crest frequencies in resultant curve one, resultant curve two
Collimation method carries out crest frequency investigation, and vehicle body back door displacement curve is connected into the A-B- of up-small and down-big, symmetrical closing
C-D displacement bending vibation mode pictures, and connect diagonal formation two curves of L1 and L2, when there is multiple crest frequencies to occur, reduced parameter
The displacement deformation amount difference and A-B-C-D displacement bending vibation mode pictures of L1 and L2 are investigated, if A-B-C-D displacements bending vibation mode picture is horizontal stroke
It is torsional frequency during to the changing of the relative positions and maximum L1, L2 relative displacement deflection.
4. according to the vehicle pattern vehicle body torsion mode recognition methods described in claim 1, it is characterised in that：The body forward structure
In 8 recognition methods of torsion, by imaginary line if there are multiple coincidence crest frequencies in resultant curve one, resultant curve two
Method carries out crest frequency investigation, tank bracket displacement curve is connected into rectangular A-B-C-D displacement bending vibation mode pictures, and connect diagonal
Line forms two curves of L1 and L2, when there is multiple crest frequencies to occur, the displacement deformation amount difference of reduced parameter L1 and L2 with
And A-B-C-D displacement bending vibation mode pictures are investigated, if A-B-C-D displacements bending vibation mode picture is the horizontal changing of the relative positions and L1, L2 relative displacement become
It is torsional frequency when shape amount is maximum.
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| CN107688697A (en) * | 2017-08-08 | 2018-02-13 | 中国汽车工程研究院股份有限公司 | Vehicle pattern vehicle body mode of flexural vibration recognition methods |
| CN110851926A (en) * | 2019-10-31 | 2020-02-28 | 武汉科技大学 | Planetary gear train isomorphism judgment method, system and medium based on traversal loop |
| CN110851925A (en) * | 2019-10-31 | 2020-02-28 | 武汉科技大学 | Planetary gear train isomorphism determination method, system and medium based on improved adjacency matrix |
| CN111400815A (en) * | 2018-12-30 | 2020-07-10 | 长城汽车股份有限公司 | Method for determining automobile frame connection point formed by staggered cross members, non-load-bearing automobile frame and automobile |
| CN111400814A (en) * | 2018-12-30 | 2020-07-10 | 长城汽车股份有限公司 | Method for determining connection point of frame middle structure |
| CN111400813A (en) * | 2018-12-30 | 2020-07-10 | 长城汽车股份有限公司 | Method for determining connection point of front end structure of vehicle frame |
| CN111985347A (en) * | 2020-07-28 | 2020-11-24 | 广州汽车集团股份有限公司 | Body-in-white modal identification method and device |
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| CN111400815B (en) * | 2018-12-30 | 2023-04-07 | 长城汽车股份有限公司 | Method for determining automobile frame connection point formed by staggered cross members, non-load-bearing automobile frame and automobile |
| CN111400815A (en) * | 2018-12-30 | 2020-07-10 | 长城汽车股份有限公司 | Method for determining automobile frame connection point formed by staggered cross members, non-load-bearing automobile frame and automobile |
| CN111400814A (en) * | 2018-12-30 | 2020-07-10 | 长城汽车股份有限公司 | Method for determining connection point of frame middle structure |
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| CN111400814B (en) * | 2018-12-30 | 2023-04-07 | 长城汽车股份有限公司 | Method for determining connection point of frame middle structure |
| CN110851925A (en) * | 2019-10-31 | 2020-02-28 | 武汉科技大学 | Planetary gear train isomorphism determination method, system and medium based on improved adjacency matrix |
| CN110851926A (en) * | 2019-10-31 | 2020-02-28 | 武汉科技大学 | Planetary gear train isomorphism judgment method, system and medium based on traversal loop |
| CN110851926B (en) * | 2019-10-31 | 2023-09-01 | 武汉科技大学 | Planetary gear train isomorphism judging method, system and medium based on traversal loop |
| CN110851925B (en) * | 2019-10-31 | 2024-02-20 | 武汉科技大学 | Planetary gear train isomorphism judging method, system and medium based on improved adjacency matrix |
| CN111985347A (en) * | 2020-07-28 | 2020-11-24 | 广州汽车集团股份有限公司 | Body-in-white modal identification method and device |
| CN111985347B (en) * | 2020-07-28 | 2024-02-02 | 广州汽车集团股份有限公司 | Body-in-white modal identification method and device |
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