CN115952645A - Method, equipment and storage medium for analyzing part fatigue based on whole vehicle road spectrum - Google Patents
Method, equipment and storage medium for analyzing part fatigue based on whole vehicle road spectrum Download PDFInfo
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Abstract
The invention relates to the technical field of vehicle body durability simulation analysis, and discloses a method, equipment and a storage medium for analyzing part fatigue based on a whole vehicle road spectrum, wherein the method comprises the following steps: acquiring a vehicle body model and acquiring a road spectrum response signal of the whole vehicle on a test field; processing the corresponding signals of the road spectrum and obtaining force value signals of a plurality of connecting points of the vehicle body and the chassis; inputting the force value signal into a vehicle body model for performing transient dynamics simulation analysis on the vehicle body and obtaining a first analysis result, wherein the first analysis result comprises a target part signal, and then inputting the target part signal into a target part for analyzing the target part to obtain a first signal representing a function of stress or modal coordinates on the target part changing along with time; inputting the first signal into fatigue analysis software to obtain a fatigue result of the target part; and judging whether the target part needs to be optimized or not based on the fatigue result.
Description
Technical Field
The invention relates to the technical field of vehicle body durability simulation analysis, and provides a method, equipment and a storage medium for analyzing part fatigue based on a whole vehicle road spectrum.
Background
The external load born by the automobile in long-term operation is dynamic alternating load, under the action of the load, dynamic stress is generated on a plurality of parts of the automobile to cause fatigue damage, and the fatigue failure mode is fatigue fracture.
The generation of fatigue failure of automobile materials is closely related to the design, production, use and maintenance of automobiles, such as: whether fatigue failure is considered in the design; in the material processing process, the level of the processing technology is high and low; the vehicle is subjected to regular maintenance or accidental impact in use; harsh and complex driving environments, etc.; are responsible for their fatigue failure. Therefore, the understanding of the cause of fatigue failure of the automobile should be enhanced and prevented by the relevant personnel.
However, at present, fatigue analysis of the whole vehicle and parts by applying road spectrum data is a common method for inspecting the fatigue performance of the whole vehicle and related parts, the method is high in precision and universality, and most parts on the vehicle body can be inspected for the fatigue performance. However, the process is complicated and long-term, and if a single part needs to be optimized repeatedly, the efficiency is seriously influenced, and an optimization scheme cannot be given in time.
Disclosure of Invention
The invention provides a method, equipment and a storage medium for analyzing part fatigue based on a whole vehicle road spectrum, which are used for improving the time efficiency of fatigue performance investigation on a single part and the efficiency of repeated optimization on the part.
According to a first aspect of the invention, a method for analyzing part fatigue based on a whole vehicle road spectrum is provided, which comprises the following steps:
s1: acquiring a vehicle body model and acquiring a road spectrum response signal of the whole vehicle on a test field; the road spectrum response signal represents a function of the load of the whole vehicle in a test field along with the change of time; wherein, whole car includes: a body, a chassis, and a target part;
s2: processing the road spectrum response signals to obtain force value signals of a plurality of connecting points of the vehicle body and the chassis; the force signal is characteristic of a function of the load of the connection point over time;
s3: inputting a plurality of force value signals into the vehicle body model to perform transient dynamics simulation analysis on the vehicle body and obtain a first analysis result, wherein the first analysis result comprises a target part signal; the target part signal is a function of the change of the physical quantity of the target part with time;
s4: carrying out loading analysis on the target part according to the target part signal and obtaining a second analysis result, wherein the second analysis result comprises a first signal which represents a function of the change of stress or modal coordinates on the target part along with time;
s5: inputting the first signal into fatigue analysis software to obtain a fatigue result of the target part;
s6: judging whether the fatigue result reaches a first preset value or not; if so, the target part is qualified, and the fatigue simulation is finished; if not, the target part is unqualified, the target part is optimized, and the step S4 is returned.
Optionally, in step S2, the processing the road spectrum response signal specifically includes:
s21: correcting the road spectrum response signal;
s22: inputting the corrected road spectrum response signal into virtual iteration software to carry out iteration processing so as to obtain an iteration signal, and judging whether the accuracy of the iteration signal and the corrected road spectrum signal is within a first preset value; if yes, go to step S23; if not, continuing to perform iterative processing;
s23: and inputting the iteration signal into a multi-body dynamic model for load decomposition to obtain the force value signal.
Optionally, in step S4, the first signal includes: part stress signals and modal coordinate signals.
Optionally, if the first signal is a part stress signal, the part stress signal is directly input to fatigue analysis software to obtain a fatigue result of the target part.
Optionally, if the first signal is a modal coordinate signal, extracting a modal stress signal of the target part from the target part signal; and simultaneously inputting the modal coordinate signal and the modal stress signal into fatigue analysis software to obtain a fatigue result of the target part.
Optionally, the physical quantities of the target part at least include: force, velocity, acceleration, and displacement.
Optionally, the method further includes:
in step S3, after the target part signal is obtained, fourier transform is performed on the target part signal and the target part signal is converted into a frequency spectrum density signal corresponding to the target part, and the frequency spectrum density signal is input to fatigue analysis software to obtain a fatigue result of the target part.
Optionally, in step S6, optimizing the target part specifically includes: replacing the material of the target part or improving the structure of the target part.
According to a second aspect of the invention, there is provided an electronic device comprising a processor and a memory; the memory stores a program that can be called by the processor; when the processor executes the program, the method for simulating and analyzing the fatigue of the part based on the whole vehicle road spectrum is realized.
According to a third aspect of the present invention, a computer-readable storage medium is provided, in which program instructions are stored, and when the program instructions are executed by a processor of a computer, the processor executes the method for fatigue simulation analysis of a part based on a vehicle road spectrum according to the first aspect of the present invention.
The invention provides a part fatigue analysis method based on a whole vehicle road spectrum, which comprises the steps of collecting road spectrum response signals on a test field, processing the road spectrum response signals and converting the road spectrum response signals into force value signals of a plurality of connecting points of a vehicle body and a chassis; performing transient dynamics analysis on the vehicle body through the force value signal and obtaining a first analysis result, wherein the first analysis result comprises a first signal representing a function of the stress or modal coordinate on the target part changing along with time, continuously performing loading analysis on the vehicle body by using the first signal to obtain a first signal representing a function of the stress or modal coordinate on the target part changing along with time, and inputting the first signal into fatigue analysis software to obtain a fatigue result corresponding to the target part signal; and optimizing the target part according to the fatigue result. The part fatigue analysis method provided by the invention realizes rapid fatigue analysis and optimization of the target part, the input signal is based on road spectrum data, the accuracy can be ensured, and the method has universality; the calculation time is short, the response is quick, and the method is suitable for repeated optimization analysis of a single part.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for analyzing fatigue of a part according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart illustrating processing of signals corresponding to a spectrum according to an embodiment of the present invention;
fig. 3 is a schematic configuration diagram of an exemplary electronic device in an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The technical solution of the present invention will be described in detail below with specific examples. These several specific embodiments may be combined with each other below, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Referring to fig. 1, a method for analyzing fatigue of a part based on a vehicle road spectrum includes:
s1: acquiring a vehicle body model and acquiring a road spectrum response signal of the whole vehicle on a test field; the road spectrum response signal represents a function of the load of the whole vehicle in a test field along with the change of time; wherein, whole car includes: a body, a chassis, and a target part.
The road spectrum corresponding signal can provide load required by simulation calculation, and provides reliable data support for simulation analysis, so that fatigue life of each component of the automobile can be accurately predicted and judged.
Before the road spectrum response signals are collected, different collecting channels need to be arranged on the whole vehicle body according to the test purpose, such as installing a sextant sensor on the wheel center of the vehicle. In embodiments of the invention, different types of road spectrum response signals may be obtained by different sensors, such as force signals obtained by sextant sensors.
S2: processing the road spectrum response signals to obtain force value signals of a plurality of connecting points of the vehicle body and the chassis; the force value signal characterizes a function of the load of the connection point over time.
Referring to fig. 2, the processing the road spectrum response signal specifically includes:
s21: and correcting the road spectrum response signal.
In the specific embodiment of the present invention, because a flaw may exist in the acquired road spectrum response signal, the correction processing needs to be performed on the road spectrum corresponding signal, and the specific processing manner of the correction includes: deburring, deshifting, etc., to address imperfections in the road spectrum response signal. Of course, the present invention is not limited to the way of removing the fault in the road spectrum response signal, and other ways capable of removing the fault in the road spectrum response signal are within the protection scope of the present invention.
S22: inputting the corrected road spectrum response signal into virtual iteration software to carry out iteration processing so as to obtain an iteration signal, and judging whether the accuracy of the iteration signal and the corrected road spectrum signal is within a first preset value; if yes, go to step S23; if not, the iterative processing is continued to be carried out on the iterative signal.
In a specific embodiment of the invention, a virtual iteration simulation method similar to the test bed iteration method is adopted, iteration software is used for iterating the displacement of the wheel center of the automobile, and the six-component load of the wheel center is combined to drive the whole automobile power model until the simulation result and the actually measured road spectrum corresponding signal reach a convergence state (namely the iteration precision of the road spectrum corresponding signal is within a first preset value).
S23: and inputting the iteration signal into a multi-body dynamic model for load decomposition to obtain the force value signal.
The multi-body dynamic model in the embodiment of the invention is a whole vehicle dynamic model which is connected with parts through kinematic pairs.
S3: inputting a plurality of force value signals into the vehicle body model to perform transient dynamics simulation analysis on the vehicle body and obtain a first analysis result, wherein the first analysis result comprises a target part signal; the target part signal characterizes a function of a physical quantity of the target part over time.
The physical quantity of the target part in the embodiment of the present invention refers to a physical quantity at a connecting point of the target part and the vehicle body, and the physical quantity includes at least: force, velocity, acceleration, and displacement. Of course, the physical quantities of the target parts in the embodiments of the present invention are not limited to the listed physical quantities, and other physical quantities are within the scope of the present invention.
S4: and carrying out loading analysis on the target part according to the target part signal and obtaining a second analysis result, wherein the second analysis result comprises a first signal which represents a function of the change of the stress or modal coordinate on the target part along with the time
In an embodiment of the present invention, the first signal includes: part stress signal and modal coordinate signal 。 The part stress signal is indicative of a degree of change in stress on the target part over time; the modal coordinate signal is indicative of a degree of change in modal coordinates on the target part over time.
And if the first signal is a part stress signal, directly inputting the part stress signal to fatigue analysis software to obtain a fatigue result of the target part.
If the first signal is a modal coordinate signal, extracting a modal stress signal of the target part from the target part signal; and simultaneously inputting the modal coordinate signal and the modal stress signal into fatigue analysis software to obtain a fatigue result of the target part.
S5: and inputting the first signal into fatigue analysis software to obtain a fatigue result of the target part.
It is understood that the present invention is not limited by the type of fatigue software, and any fatigue analysis software that can convert a certain signal/data into a fatigue result is within the scope of the present invention.
S6: judging whether the fatigue result reaches a first preset value or not; if so, the target part is qualified, and the fatigue simulation is finished; if not, the target part is unqualified, the target part is optimized, and the step S4 is returned.
In a specific embodiment of the present invention, optimizing the target part specifically includes: replacing the material of the target part or improving the structure of the target part.
In another embodiment of the present invention, after the target part signal is obtained in step S3, fourier transform is performed on the target part signal and the target part signal is converted into a frequency spectrum density signal corresponding to the target part, and the frequency spectrum density signal is input to fatigue analysis software to obtain a fatigue result of the target part.
The invention provides a part fatigue analysis method based on a whole vehicle road spectrum, which comprises the steps of collecting road spectrum response signals on a test field, processing the road spectrum response signals and converting the road spectrum response signals into force value signals of a plurality of connecting points of a vehicle body and a chassis; performing transient dynamics analysis on the vehicle body through the force value signal and obtaining a first analysis result, wherein the first analysis result comprises a first signal which represents a function of stress or modal coordinates on the target part changing along with time, continuously performing loading analysis on the vehicle body by using the first signal to obtain a first signal which represents a function of the stress or modal coordinates on the target part changing along with time, and inputting the first signal into fatigue analysis software to obtain a fatigue result corresponding to the target part signal; and optimizing the target part according to the fatigue result. The part fatigue analysis method provided by the invention realizes rapid fatigue analysis and optimization of the target part, the input signal is based on road spectrum data, the accuracy can be ensured, and the method has universality; the calculation time is short, the response is quick, and the method is suitable for repeated optimization analysis of a single part.
Referring to fig. 3, an electronic device 1 is provided, which includes:
a processor 11; and
a memory 12 for storing executable instructions of the processor;
wherein the processor 11 is configured to perform the above-mentioned method via execution of the executable instructions.
The processor 11 can communicate with the memory 12 via a bus 13.
Embodiments of the present invention also provide a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the above-mentioned method.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A part fatigue analysis method based on a whole vehicle road spectrum is characterized by comprising the following steps:
s1: acquiring a vehicle body model and acquiring a road spectrum response signal of the whole vehicle on a test field; the road spectrum response signal represents a function of the load of the whole vehicle in a test field along with the change of time; wherein, whole car includes: a body, a chassis, and a target part;
s2: processing the road spectrum response signals to obtain force value signals of a plurality of connecting points of the vehicle body and the chassis; the force signal is characteristic of a function of the load of the connection point over time;
s3: inputting a plurality of force value signals into the vehicle body model, performing transient dynamics simulation analysis on the vehicle body, and obtaining a first analysis result, wherein the first analysis result comprises a target part signal; the target part signal is a function of the change of the physical quantity of the target part with time;
s4: carrying out loading analysis on the target part according to the target part signal and obtaining a second analysis result, wherein the second analysis result comprises a first signal which represents a function of the change of stress or modal coordinates on the target part along with time;
s5: inputting the first signal into fatigue analysis software to obtain a fatigue result of the target part;
s6: judging whether the fatigue result reaches a first preset value or not; if so, the target part is qualified, and the fatigue simulation is finished; if not, the target part is unqualified, the target part is optimized, and the step S4 is returned.
2. The method for analyzing the fatigue of the part based on the road spectrum of the whole vehicle as claimed in claim 1, wherein in step S2, the processing of the road spectrum response signal specifically comprises:
s21: correcting the road spectrum response signal;
s22: inputting the corrected road spectrum response signal into virtual iteration software to carry out iteration processing so as to obtain an iteration signal, and judging whether the accuracy of the iteration signal and the corrected road spectrum signal is within a first preset value; if yes, go to step S23; if not, continuously carrying out iterative processing on the iterative signal;
s23: and inputting the iteration signal into a multi-body dynamic model for load decomposition to obtain the force value signal.
3. The method for analyzing fatigue of parts based on vehicle road spectrum according to claim 1, wherein in step S4, the first signal comprises: part stress signal and modal coordinate signal 。
4. The method for analyzing fatigue of parts based on vehicle road spectrum according to claim 3,
and if the first signal is a part stress signal, directly inputting the part stress signal to fatigue analysis software to obtain a fatigue result of the target part.
5. The vehicle-road-spectrum-based part fatigue analysis method according to claim 3, wherein if the first signal is a modal coordinate signal, a modal stress signal of a target part is extracted from the target part signal; and simultaneously inputting the modal coordinate signal and the modal stress signal into fatigue analysis software to obtain a fatigue result of the target part.
6. The method for analyzing fatigue of parts based on vehicle road spectrum according to claim 1, wherein the physical quantity of the target part at least comprises: force, velocity, acceleration, and displacement.
7. The method for analyzing the fatigue of the part based on the road spectrum for the whole vehicle as claimed in claim 1, further comprising:
in step S3, after the target part signal is obtained, fourier transform is performed on the target part signal and the target part signal is converted into a frequency spectrum density signal corresponding to the target part, and the frequency spectrum density signal is input to fatigue analysis software to obtain a fatigue result of the target part.
8. The method for analyzing fatigue of parts based on vehicle road spectrum according to claim 1, wherein in step S6, optimizing the target part specifically comprises: replacing the material of the target part or improving the structure of the target part.
9. An electronic device comprising a memory, a processor and a program stored on the memory and executable on the processor, wherein the steps of the method of any of claims 1-8 are implemented when the program is executed by the processor.
10. A storage medium having a program stored thereon, wherein the program, when executed by a processor, performs the steps of the method of any one of claims 1 to 8.
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| CN202211480709.7A CN115952645A (en) | 2022-11-24 | 2022-11-24 | Method, equipment and storage medium for analyzing part fatigue based on whole vehicle road spectrum |
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| CN202211480709.7A CN115952645A (en) | 2022-11-24 | 2022-11-24 | Method, equipment and storage medium for analyzing part fatigue based on whole vehicle road spectrum |
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