CN112883514A - Method for predicting continuous dynamic axle load of loop accelerated loading device - Google Patents
Method for predicting continuous dynamic axle load of loop accelerated loading device Download PDFInfo
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Abstract
The invention provides a method for predicting continuous dynamic axle load of a loop accelerated loading device, and belongs to the technical field of road engineering. The method comprises the following steps: testing the static axle load of the loop accelerating and loading device; modifying part of parameters of a preset multi-body dynamic simulation model according to the measured static axle load; the multi-body dynamics simulation model takes working condition parameters as input and takes dynamic axle load as output; inputting parameters of specified working conditions into a current multi-body dynamics simulation model, calculating to obtain simulated dynamic axle load data, and measuring the dynamic axle load of the loop acceleration loading device under the specified working conditions to obtain actually-measured dynamic axle load data; correcting parameters of the multi-body dynamic simulation model according to simulated dynamic axle load data and actually-measured dynamic axle load data corresponding to the specified working condition; and predicting the continuous dynamic axle load of the loop accelerating and loading device under the target working condition by using a multi-body dynamics simulation model. The method can simulate the continuous dynamic axle load of the prediction device, and has strong applicability and high efficiency.
Description
Technical Field
The invention relates to the technical field of mechanical engineering, civil engineering and road engineering, in particular to a method for predicting continuous dynamic axle load of a loop accelerating and loading device.
Background
During the running process of the vehicle, due to the influence of the unevenness of the road surface, the coupling action of the vehicle tire and the road surface forms dynamic tire force, and the dynamic tire force and the static axle load are combined to form the actual dynamic axle load acting force on the road surface during the running process of the vehicle. The dynamic axle load acting force is always fluctuant and is one of important factors causing the damage of the road surface, so that the calculation of the dynamic axle load of the vehicle has an indispensable effect on the road surface construction in the field of road engineering.
At present, a road acceleration loading test is carried out by using a full-scale road acceleration loading device, which becomes an efficient method for researching the damage effect of axial load on the road surface and is widely adopted in the field of road engineering. And (4) carrying out a road accelerated loading test by using an accelerated loading device.
The annular road acceleration loading device is a novel full-scale road surface acceleration loading device, a loading vehicle is used for running on an annular road surface to repeatedly load a tested road surface, and the annular road acceleration loading device has wide application prospect in the aspects of testing road surface materials and road surface structural performance on a full-scale test road section. However, because the development time of the loop accelerated loading device is short, dynamic axle load research under various working conditions in the operation process of the device is less in the industry, and because the device is large in size and limited by sensor technology, sensors cannot be arranged at all positions on the operation path of the loading vehicle for measurement, the number of measurement points is limited, and continuous measurement of the dynamic axle load of the device under various working conditions is difficult to complete by using a test method.
Disclosure of Invention
The invention aims to provide a method for predicting the continuous dynamic axle load of a loop accelerating loading device, which has the advantages of strong applicability, high efficiency, test cost saving, reusability and accurate result, and is used for solving the problem that the conventional loop accelerating loading device is difficult to use a test method to complete the continuous measurement of the dynamic axle load of the device under various working conditions. The technical scheme provided by the invention is as follows:
the embodiment of the invention provides a method for predicting continuous dynamic axle load of a loop accelerated loading device, which comprises the following steps:
s1, testing the static axle load of the loop accelerating and loading device; the loop accelerating and loading device comprises a preset loop section and a loading vehicle running through the loop section;
s2, modifying part of parameters of the preset multi-body dynamic simulation model according to the measured static axle load; the multi-body dynamics simulation model takes working condition parameters as input and takes dynamic axle load as output;
s3, inputting parameters of a specified working condition into a current multi-body dynamics simulation model, calculating to obtain simulated dynamic axle load data corresponding to the specified working condition, and measuring the dynamic axle load of the loop acceleration loading device under the specified working condition to obtain measured dynamic axle load data corresponding to the specified working condition;
s4, correcting parameters of the multi-body dynamic simulation model according to the simulated dynamic axle load data and the actually-measured dynamic axle load data corresponding to the specified working condition;
and S5, predicting the continuous dynamic axle load of the loop accelerating and loading device under the target working condition by using the multi-body dynamics simulation model.
Optionally, the step S1 includes:
the static axle load of the loop accelerating and loading device is tested through an axle load detector, an anti-skid wear-resistant rubber pad is adopted as a slope guide in the static axle load test, and the anti-skid wear-resistant rubber pad is connected with a weighing table top of the axle load detector through a dovetail groove.
Optionally, the axle load detector is a HLDB portable dual-axis axle load detector.
Optionally, before the step S2, the method further includes the step of:
arranging all parameters of the multi-body dynamics simulation model from large to small according to the influence of speed and vibration of the parameters to obtain a parameter priority sequence with the priority from high to low;
the partial parameters in step S2 include: a reciprocal N-bit parameter located in the parameter priority sequence; and N is a preset positive integer.
Optionally, the modifying parameters of the multi-body dynamic simulation model in step S4 includes:
and modifying the parameters of the multi-body dynamics simulation model according to the priority sequence of the parameters and the sequence from high priority to low priority.
Optionally, in step S3, the measuring the dynamic axle load of the loop acceleration loading device under the specified working condition specifically includes:
measuring the dynamic axle load of the loop accelerating and loading device under the specified working condition through a preset dynamic weighing system; wherein the dynamic weighing system is a multi-sensor based dynamic weighing system.
Optionally, before the step S3, the method further includes the following steps:
and laying piezoelectric sensors and accelerometers on the surface of the annular road section at preset intervals to serve as the dynamic weighing system based on the multiple sensors.
Optionally, the piezoelectric sensor is cored by a plurality of piezoelectric ceramics, and the accelerometer is an MS 9002-based capacitive MEMS accelerometer.
Optionally, the working condition parameters at least include an operating axle load of the loop accelerating and loading device, a road surface flatness and an operating speed of the loading vehicle; the input of the multi-body dynamics simulation model also comprises a simulation step length;
before the step S5, the method further includes the steps of:
and setting the running speed of the loading vehicle and the sensor sampling frequency of the dynamic weighing system so as to adjust the simulation step length.
Optionally, the working condition parameters at least include an operating axle load of the loop acceleration loading device, a road surface flatness and an operating speed of the loading vehicle.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
(1) the invention corrects the multi-body dynamics simulation model according to the actual measurement data of the field test, can establish the accurate multi-body dynamics simulation model corresponding to the loop accelerating and loading device, and can predict the continuous dynamic axle load of the loop accelerating and loading device under different working conditions according to the simulation model;
(2) the effective loading interval of the loading device under each working condition can be rapidly determined according to the predicted continuous dynamic axle load;
(3) the invention can effectively solve the problem that the dynamic axle load measurement test has large workload and is even difficult to measure under each working condition of the loop accelerated loading device, and the propulsion device checks and accepts, thereby providing a new scheme for evaluating the performance of the device.
Drawings
FIG. 1 is a flowchart of a method for predicting a continuous dynamic axle load of a loop acceleration loading device according to the present invention;
FIG. 2 is a schematic structural diagram of a circular accelerated loading device;
FIG. 3 is a continuous dynamic axle load simulation diagram of a certain half shaft of the circular acceleration loading device under a certain working condition, which is obtained by the method provided by the invention.
Detailed Description
With the development of computer technology and simulation technology, the dynamic virtual test prototype construction and simulation technology based on commercial software and computational multi-body dynamics has been widely used in the design and analysis of complex products, and provides a technical means for the design and analysis of product design, performance analysis, fault prediction and diagnosis, reliability analysis and the like. The invention corrects the multi-body dynamic simulation model parameters which are pre-established and used for calculating the dynamic axle load through the actually measured static axle load and the dynamic axle load of the loop accelerating and loading device, and then can quickly and accurately obtain the continuous dynamic axle load data in the running of the loop accelerating and loading device through the simulation model, thereby reducing the times of field tests and the design and acceptance cost of the device.
In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments.
The invention provides a method for predicting continuous dynamic axle load of a loop acceleration loading device, as shown in fig. 1, the processing flow of the method can comprise the following steps of S1-S5:
and S1, testing the static axle load of the loop accelerating and loading device.
In the embodiment of the invention, the loop accelerating and loading device is a device which runs on the loop test road section through a loading vehicle, simulates the influence of real axle load on a test road surface and further performs related research on the road aspect. As shown in fig. 2, the loop acceleration loading device includes a loading vehicle 201 and a preset loop section 202, the loading vehicle 201 runs on a test road surface on the loop section 202, or, further, the loop acceleration loading device may further include a guide rail 203 disposed on the loop section 202, and the loading vehicle 201 runs on the loop section 202 through the guide rail 203.
In an optional embodiment, in step S1, the static axle load of the circular accelerated loading device is tested by an axle load tester, and in the static axle load test, an anti-skid wear-resistant rubber pad is used as a ramp, and the anti-skid wear-resistant rubber pad is connected with a weighing table top of the axle load tester through a dovetail groove.
Preferably, the axle load detector is a portable HLDB double-shaft axle load detector, and the stability of the loop acceleration loading device and the detector is ensured in a static axle load measurement test of the loop acceleration loading device by utilizing the portable HLDB double-shaft axle load detector.
And S2, modifying part of parameters of the preset multi-body dynamic simulation model according to the measured static axle load.
Before the method provided by this embodiment is executed, a multi-body dynamics simulation model corresponding to the loop acceleration loading device is pre-established, the multi-body dynamics simulation model takes working condition parameters as input and dynamic axle load as output, and each parameter of the model of the multi-body dynamics simulation model can be a preset initial value when the model is established. In step S2, a part of the parameters of the preset multi-body dynamic simulation model is modified according to the measured static axle load.
Optionally, the operating condition parameters at least include an operating axle load of the loop acceleration loading device, a road flatness, and an operating speed of the loading vehicle, or may further include a coupling operating condition of the operating axle load, the road flatness, and the operating speed, and the like.
In an alternative embodiment, before step S2, the method of the present invention further comprises the step of prioritizing the model parameters: and arranging the parameters of the multi-body dynamics simulation model from large to small according to the influence of speed and vibration to obtain a parameter priority sequence with the priority from high to low. Then in step S2, the modified partial parameters include: a reciprocal N-bit parameter located in the parameter priority sequence; and N is a preset positive integer. Namely: the parameters of the multi-body dynamic simulation model modified by the static axle load data should be the parameters with less influence by speed and vibration, such as: and when N is 2, modifying parameters such as pressure, spring stiffness and the like of a loading arm hydraulic cylinder of the loop accelerating and loading device arranged at the last of the parameter priority sequence.
S3, inputting the parameters of the specified working condition into the current multi-body dynamics simulation model, calculating to obtain the simulated dynamic axle load data corresponding to the specified working condition, and measuring the dynamic axle load of the loop acceleration loading device under the specified working condition to obtain the measured dynamic axle load data corresponding to the specified working condition.
In the embodiment of the invention, the dynamic axle load is the actual axle load of the road surface tested by the loading vehicle tyre on the annular road section when the loading vehicle of the annular road accelerated loading device runs on the annular road section and is under the working conditions of different running speeds and loading forces.
In an optional embodiment, in step S3, the dynamic axle load of the loop acceleration loading device under the specified working condition is measured by a preset dynamic weighing system; wherein the dynamic weighing system is a multi-sensor based dynamic weighing system.
Optionally, before the step S3, the method further includes the step of laying piezoelectric sensors and accelerometers on the surface of the circular road section at predetermined intervals as the dynamic weighing system based on multiple sensors. Preferably, the piezoelectric sensor is cored by a plurality of piezoelectric ceramics, and the accelerometer is an MS 9002-based capacitive MEMS accelerometer.
And S4, correcting the parameters of the multi-body dynamic simulation model according to the simulated dynamic axle load data and the actually measured dynamic axle load data corresponding to the specified working condition.
In an optional embodiment, in step S4, parameters greatly affected by speed and vibration are preferentially corrected, and after the parameters are required to be modified, the parameters are input into the multi-body dynamic simulation model again according to the specified working condition parameters for calculation, so that a difference between an output result of the multi-body dynamic simulation model and the measured dynamic axle load data is smaller than a preset threshold. Preferably, the parameters of the multi-body dynamic simulation model can be modified according to a preset parameter priority sequence from high priority to low priority, for example: modifying parameters such as partial spring preload, moment of inertia and elastic stiffness of the tire, and finely adjusting the modified parameters in S2 if necessary.
And S5, predicting the continuous dynamic axle load of the loop accelerating and loading device under the target working condition by using the multi-body dynamics simulation model.
In this embodiment, by setting different operating condition parameters and inputting the modified multi-body dynamics simulation model, the change of the tire stress can be extracted according to the operating result of the multi-body dynamics simulation model, and the dynamic axle load of the loop acceleration loading device can be determined. In particular, the dynamic axle load results obtained by the multi-body dynamic model are continuous, and the dynamic axle load results are the dynamic axle load of each moment or each point after the loop acceleration loading device runs on the test road surface for a certain time or distance.
Preferably, before step S5, the method further includes the step of setting the running speed of the loading vehicle and the sensor sampling frequency of the dynamic weighing system to adjust the simulation step size. In this embodiment, the modification of the simulation step length enables the multi-body dynamics simulation model to output dynamic axle load data with appropriate precision.
Fig. 3 is a continuous dynamic axle load simulation diagram of a certain half shaft of the circular acceleration loading device under a certain working condition, which is obtained according to the method provided by the invention, and as can be seen from fig. 3, a multi-body dynamics simulation model corresponding to the circular acceleration loading device is obtained according to the method provided by the embodiment of the invention, and the continuous dynamic axle load of the circular acceleration loading device under a certain working condition can be calculated by using the simulation model, so that the problem that the existing circular acceleration loading device is difficult to use a test method to complete continuous measurement of the dynamic axle load of the device under various working conditions is solved.
According to the continuous dynamic axle load prediction method of the loop accelerating loading device, provided by the invention, the multi-body dynamic simulation model is corrected according to the actual measurement data of the field test, so that the accurate multi-body dynamic simulation model corresponding to the loop accelerating loading device can be established, and then the continuous dynamic axle load of the loop accelerating loading device under different working conditions can be predicted according to the simulation model. The invention can quickly determine the effective loading interval of the loading device under each working condition according to the predicted continuous dynamic axle load, effectively solves the problem that the dynamic axle load measurement test under each working condition of the loop acceleration loading device has large workload and even is difficult to measure, advances the device to check and accept, and provides a new scheme for device performance evaluation.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. A method for predicting continuous dynamic axle load of a loop accelerated loading device is characterized by comprising the following steps:
s1, testing the static axle load of the loop accelerating and loading device; the loop accelerating and loading device comprises a preset loop section and a loading vehicle running through the loop section;
s2, modifying part of parameters of the preset multi-body dynamic simulation model according to the measured static axle load; the multi-body dynamics simulation model takes working condition parameters as input and takes dynamic axle load as output;
s3, inputting parameters of a specified working condition into a current multi-body dynamics simulation model, calculating to obtain simulated dynamic axle load data corresponding to the specified working condition, and measuring the dynamic axle load of the loop acceleration loading device under the specified working condition to obtain measured dynamic axle load data corresponding to the specified working condition;
s4, correcting parameters of the multi-body dynamic simulation model according to the simulated dynamic axle load data and the actually-measured dynamic axle load data corresponding to the specified working condition;
and S5, predicting the continuous dynamic axle load of the loop accelerating and loading device under the target working condition by using the multi-body dynamics simulation model.
2. The method for predicting the continuous dynamic axle load of the loop acceleration loading device according to claim 1, wherein the step S1 comprises:
the static axle load of the loop accelerating and loading device is tested through an axle load detector, an anti-skid wear-resistant rubber pad is adopted as a slope guide in the static axle load test, and the anti-skid wear-resistant rubber pad is connected with a weighing table top of the axle load detector through a dovetail groove.
3. The method for predicting continuous dynamic axle load of an accelerated loading device of a loop according to claim 2, wherein the axle load detector is an HLDB portable dual-axis axle load detector.
4. The method for predicting the continuous dynamic axle load of the loop acceleration loading device according to claim 1, characterized in that before the step S2, the method further comprises the steps of:
arranging all parameters of the multi-body dynamics simulation model from large to small according to the influence of speed and vibration of the parameters to obtain a parameter priority sequence with the priority from high to low;
the partial parameters in step S2 include: a reciprocal N-bit parameter located in the parameter priority sequence; and N is a preset positive integer.
5. The method for predicting the continuous dynamic axle load of the loop acceleration loading device according to claim 4, wherein the step S4 of modifying the parameters of the multi-body dynamic simulation model comprises:
and modifying the parameters of the multi-body dynamics simulation model according to the priority sequence of the parameters and the sequence from high priority to low priority.
6. The method for predicting the continuous dynamic axle load of the loop acceleration loading device according to claim 1, wherein the step S3 of measuring the dynamic axle load of the loop acceleration loading device under the specified working condition specifically includes:
measuring the dynamic axle load of the loop accelerating and loading device under the specified working condition through a preset dynamic weighing system; wherein the dynamic weighing system is a multi-sensor based dynamic weighing system.
7. The method for predicting continuous dynamic axle load of loop acceleration loading device according to claim 5, characterized in that, before said step S3, it further comprises the following steps:
and laying piezoelectric sensors and accelerometers on the surface of the annular road section at preset intervals to serve as the dynamic weighing system based on the multiple sensors.
8. The method for predicting continuous dynamic axle load of an annular accelerating loader according to claim 7, wherein the piezoelectric sensor is centered on a plurality of piezoelectric ceramics, and the accelerometer is a capacitive MEMS accelerometer based on MS 9002.
9. The method for predicting the continuous dynamic axle load of the loop accelerated loading device according to claim 6, wherein the working condition parameters at least comprise the running axle load of the loop accelerated loading device, the pavement evenness and the running speed of the loading vehicle; the input of the multi-body dynamics simulation model also comprises a simulation step length;
before the step S5, the method further includes the steps of:
and setting the running speed of the loading vehicle and the sensor sampling frequency of the dynamic weighing system so as to adjust the simulation step length.
10. The method for predicting the continuous dynamic axle load of the loop acceleration loading device according to any one of claims 1 to 8, wherein the operating condition parameters at least comprise the running axle load of the loop acceleration loading device, the road surface flatness and the running speed of the loading vehicle.
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Cited By (1)
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| CN113593651A (en) * | 2021-07-27 | 2021-11-02 | 南京理工大学 | Conductive silver paste component design and performance prediction method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113593651A (en) * | 2021-07-27 | 2021-11-02 | 南京理工大学 | Conductive silver paste component design and performance prediction method |
| CN113593651B (en) * | 2021-07-27 | 2023-11-17 | 南京理工大学 | Conductive silver paste component design and performance prediction method |
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