CN111337267B - Method for evaluating biological simulation degree of dummy in collision test - Google Patents
Method for evaluating biological simulation degree of dummy in collision test Download PDFInfo
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Abstract
The invention provides a method for evaluating the biological simulation degree of a dummy in a collision test, which divides the quantitative indexes of the biological simulation degree of the dummy in the collision test into three levels: the first-level index is a biological simulation degree quantification index value of each part of the dummy; the secondary index is a simulation degree quantization index value of the injury index corresponding to each part of the dummy; the three-level indexes are simulation quantization index values quantized from different dimensions for each damage index. The invention relates to a method for evaluating the biological simulation degree of a dummy in a collision test, which correlates the calibration test result of the dummy under the same test working condition with the reference damage data of a known real human body, quantifies the biological simulation degree indexes of each part of the dummy by utilizing two methods of single value analysis and time domain curve analysis, further performs weighted calculation on each sub-index, and finally obtains the index value for evaluating the overall biological simulation degree of the dummy.
Description
Technical Field
The invention belongs to the field of automobile crash tests, and particularly relates to a method for evaluating the biological simulation degree of a dummy in a crash test.
Background
In an automobile collision test, a collision test dummy is used as a substitute of a real person to bear the function of measuring human body injury in a collision process, various physical signals are measured mainly through various sensors arranged inside the collision test to represent the injury degree of an automobile to a human body in the collision process, so that the dummy in the collision test is important measuring equipment for directly evaluating the safety performance of the automobile, and the quality of the biological simulation degree of the dummy is directly related to whether the safety performance of the automobile is correctly evaluated or not, so that whether the life and property capacity of passengers or pedestrians is effectively protected or not is also related to, and therefore, the correct evaluation of the biological simulation of the dummy in the collision test is an important content of the research of the automobile collision test.
Under the prior art, the evaluation of the biological simulation degree of each part is generally carried out by the calibration test of each part of the dummy, and an evaluation method aiming at the whole biological simulation degree of the dummy in the collision test is lacked, which mainly has the following three problems: firstly, the calibration test of each part of the dummy can not obtain a quantitative result, and only can obtain a qualitative evaluation result which is in line with or not in line with the quantitative result; secondly, each part of the dummy also has a plurality of sensors, so a plurality of data channels and injury indexes can be obtained in a calibration test, but each index is independently judged at present, and the whole condition of the part of the dummy is not evaluated; thirdly, calibration tests of all parts of the dummy are relatively independent, and a comprehensive evaluation result of the biological simulation degree of the whole dummy cannot be obtained, so that the biological simulation degree of different dummies cannot be directly and transversely compared in the conventional evaluation method for the biological simulation degree of the dummy, which is lack of quantification and aims at the whole collision dummy, and finally, the serious problem of inaccurate evaluation on the automobile collision test result is caused.
Disclosure of Invention
In view of the above, the present invention is directed to a method for evaluating the biological simulation degree of a dummy in a collision test, wherein the calibration test result of the dummy under the same test condition is associated with the known real human body reference damage data, and by using two methods, namely single value analysis and time domain curve analysis, the biological simulation degree indexes of each part of the dummy are quantified by calculating the association between different measurement signal indexes of each part of the collision dummy and the known reference data, and further performing weighted calculation on each sub-index, thereby finally obtaining an index value for evaluating the overall biological simulation degree of the dummy.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
a method for evaluating the degree of human dummy biosimilarity in a crash test, comprising:
the method comprises the following steps: firstly, dividing the quantitative indexes of the biological simulation degree of the dummy in the collision test into three stages: the first-level index is a quantitative index value of biological simulation degree of each part of the dummy, and is marked as BiComprises a head partNeck, chest, pelvis, legs, different corner marks representing different parts; the second-level index is the simulation degree quantization index value of the injury index corresponding to each part of the dummy, and is marked as Bi，jDifferent corner marks represent simulation degree quantization index values of corresponding damage indexes of corresponding parts; the three-level index is an emulation degree quantization index value obtained by quantizing each damage index from different dimensions, and is marked as Bi，j，kDifferent corner marks represent corresponding parts and correspond to different dimension simulation degree quantization index values of the injury index;
step two: and (3) calculating the simulation degree quantization index value of the three-level index: obtaining the type of the dimension of the injury index according to known real human body reference injury data, and correspondingly selecting single value analysis or time domain curve analysis to calculate the simulation quantitative index value of the three-level index; if the type of the damage index dimension is a curve shape, the method is suitable for a time domain curve analysis mode; and if the types of the damage index dimension are HTC value, peak value, 3ms value and VC, the method is suitable for single-value analysis.
Step three: and calculating a second-level index simulation degree quantization index value by using the third-level index simulation degree quantization index value, wherein the calculation method comprises the following steps:
step four: and calculating a first-level index simulation degree quantization index value by using a second-level index simulation degree quantization index value, wherein the calculation method comprises the following steps:
step five: and (3) calculating the total biological simulation degree index of the collision dummy by utilizing the first-level index simulation degree quantization index value, wherein the calculation method comprises the following steps:
Further, in the second step, if the three-level index simulation quantization index value is calculated by using a single-value analysis method, the calculation method is as follows:
extracting corresponding injury value according to known real human body reference injury data, recording as C, and the full-scale limit value is delta15%. C | with a zero point limit of δ050% · | C |; further, obtaining a corresponding injury value of the dummy in the collision test, recording the injury value as D, and calculating to obtain a simulation degree quantization index value of a three-level index:
further, in the second step, if the method of time domain curve analysis is applied to calculate the quantization index value B of the degree of simulation of the three-level index, the calculation method is as follows:
the method for time domain curve analysis calculates a three-level index simulation degree quantization index value B, which is calculated by four sub-indexes including a channel index T, a curve shape index Q, a curve phase index P and a curve amplitude index R, and specifically comprises the following steps:
B＝0.4·T+0.2·Q+0.2·P+0.2·R
calculating a channel index T:
acquiring known real human body reference injury time domain data, recording as C (t), and calculating a full score limit value delta15%. C | with a zero point limit of δ0Acquiring injury time domain data corresponding to the collision dummy, and calculating simulation degree quantization index values at each time point, wherein the damage time domain data is denoted as D (t):
further, calculating a channel index T of the time domain curve, wherein N is the number of discrete time domain data points:
further, curve shape index Q is calculated:
intercepting known real human body reference injury time domain data C (t) and time domain data D (t) corresponding to the injury of the collision dummy in the same time period, wherein the time starting point is defined as tstartThe time end point is defined as tendIf the total number of the intercepted data is N, then N is f (t)start-tend) +1, where f is the data sampling frequency;
d (t) is translated along the time axis by m data points, the upper limit of the translation m is limited to INT (0.2N) +1, so that m ranges from 0, + -1, + -2, …, ± (INT (0.2N) + 1); after translation, the number of the overlapped part of the two groups of data is N-m;
when different movement amounts m are calculated, the phase correlation S (m) value of the real human body data and the dummy data is as follows:
the left translation calculation method comprises the following steps:
when m is equal to m0When S (m) reaches a maximum value S (m)0)；
The curve shape index Q is then equal to:
on the basis of the calculated values, further calculating a curve phase index P:
on the basis of the calculated value, further curve amplitude index R:
compared with the prior art, the method for evaluating the biological simulation degree of the dummy in the collision test has the following advantages:
the invention relates to a method for evaluating the biological simulation degree of a dummy in a collision test, which correlates the calibration test result of the dummy under the same test working condition with the known real human body reference damage data, quantifies the biological simulation degree index of each part of the dummy by calculating the correlation between different measurement signal indexes of each part of the collision dummy and the known reference data by utilizing two methods of single value analysis and time domain curve analysis, and further performs weighted calculation on each sub-index to finally obtain the index value for evaluating the total biological simulation degree of the dummy.
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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 schematic diagram of a method for evaluating the degree of human artifact simulation in a crash test according to an embodiment of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on those shown in the drawings, and are used only for convenience in describing the present invention and for simplicity in description, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be construed as limiting the present invention. Furthermore, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first," "second," etc. may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless otherwise specified.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art through specific situations.
The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
A method for evaluating the degree of human dummy biosimilarity in a crash test, comprising:
as shown in fig. 1, step one: firstly, dividing the quantitative indexes of the biological simulation degree of the dummy in the collision test into three stages: the first-level index is a quantitative index value of biological simulation degree of each part of the dummy, and is marked as BiThe head, the neck, the chest, the pelvis and the legs are included, and different corner marks represent different parts; the second-level index is the simulation degree quantization index value of the injury index corresponding to each part of the dummy, and is marked as Bi，jDifferent angle marks represent simulation degree quantization index values of corresponding injury indexes of corresponding parts, for example, the chest comprises two indexes of composite acceleration and compression amount, and the second-level indexes are B3，1And B3，2(ii) a Simulation of quantization of each injury index from different dimensions by three-level indexesThe metric value is marked as Bi，j，kDifferent angle marks represent corresponding parts, and different dimension simulation degree quantization index values corresponding to the injury index, such as chest compression amount, are judged from three angles, including a peak value, a VC value and a curve shape, which are respectively marked as B3，2，1、B3，2，2And B3，2，3；
Step two: and (3) calculating the simulation degree quantization index value of the three-level index: obtaining the type of the dimension of the injury index according to known real human body reference injury data, and correspondingly selecting single value analysis or time domain curve analysis to calculate the simulation quantitative index value of the three-level index;
if the type of the damage index dimension is a curve shape, the method is suitable for a time domain curve analysis mode; and if the types of the damage index dimension are HIC value, peak value, 3ms value and VC, the method is suitable for a single-value analysis mode.
Step three: and calculating a second-level index simulation degree quantization index value by using the third-level index simulation degree quantization index value, wherein the calculation method comprises the following steps:
step four: and calculating a first-level index simulation degree quantization index value by using a second-level index simulation degree quantization index value, wherein the calculation method comprises the following steps:
step five: and (3) calculating the total biological simulation degree index of the collision dummy by utilizing the first-level index simulation degree quantization index value, wherein the calculation method comprises the following steps:
Further, in the second step, if the three-level index simulation quantization index value is calculated by using a single-value analysis method, the calculation method is as follows:
extracting corresponding injury value according to known real human body reference injury data, recording as C, and the full-scale limit value is delta15%. C | with a zero point limit of δ050% · | C |; further, obtaining a corresponding injury value of the dummy in the collision test, recording the injury value as D, and calculating to obtain a simulation degree quantization index value of a three-level index:
further, in the second step, if the method of time domain curve analysis is applied to calculate the quantization index value B of the degree of simulation of the three-level index, the calculation method is as follows:
the method for time domain curve analysis calculates a three-level index simulation degree quantization index value B, which is calculated by four sub-indexes including a channel index T, a curve shape index Q, a curve phase index P and a curve amplitude index R, and specifically comprises the following steps:
B＝0.4·T+0.2·Q+0.2·P+0.2·R
calculating a channel index T:
acquiring known real human body reference injury time domain data, recording as C (t), and calculating a full score limit value delta15%. C | with a zero point limit of δ0Acquiring injury time domain data corresponding to the collision dummy, and calculating simulation degree quantization index values at each time point, wherein the damage time domain data is denoted as D (t):
further, calculating a channel index T of the time domain curve, wherein N is the number of discrete time domain data points:
further, curve shape index Q is calculated:
intercepting known real human body reference injury time domain data C (t) and time domain data D (t) corresponding to the injury of the collision dummy in the same time period, wherein the time starting point is defined as tstartThe time end point is defined as tendIf the total number of the intercepted data is N, then N is f (t)start-tend) +1, where f is the data sampling frequency;
d (t) is translated along the time axis by m data points, the upper limit of the translation m is limited to INT (0.2N) +1, so that m ranges from 0, + -1, + -2, …, ± (INT (0.2N) + 1); after translation, the number of the overlapped part of the two groups of data is N-m;
when different movement amounts m are calculated, the phase correlation S (m) value of the real human body data and the dummy data is as follows:
the left translation calculation method comprises the following steps:
when m is equal to m0When S (m) reaches a maximum value S (m)0)；
The curve shape index Q is then equal to:
on the basis of the calculated values, further calculating a curve phase index P:
on the basis of the calculated value, further curve amplitude index R:
the present invention is not limited to the above preferred embodiments, and any modifications, equivalent substitutions, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (2)
1. A method for evaluating the degree of human dummy biological simulation in a crash test, characterized by: the method comprises the following steps:
the method comprises the following steps: firstly, dividing the quantitative indexes of the biological simulation degree of the dummy in the collision test into three stages: the first-level index is a quantitative index value of biological simulation degree of each part of the dummy, and is marked as BiThe head, the neck, the chest, the pelvis and the legs are included, and different corner marks represent different parts; the second-level index is the simulation degree quantization index value of the injury index corresponding to each part of the dummy, and is marked as Bi，jDifferent corner marks represent simulation degree quantization index values of corresponding damage indexes of corresponding parts; the three-level index is an emulation degree quantization index value obtained by quantizing each damage index from different dimensions, and is marked as Bi，j，kDifferent corner marks represent corresponding parts and correspond to different dimension simulation degree quantization index values of the injury index;
step two: and (3) calculating the simulation degree quantization index value of the three-level index: obtaining the type of the dimension of the injury index according to known real human body reference injury data, and correspondingly selecting single value analysis or time domain curve analysis to calculate the simulation quantitative index value of the three-level index;
in the second step, if the method of time domain curve analysis is applied to calculate the quantization index value B of the three-level index simulation degree, the calculation method is as follows:
the method for time domain curve analysis calculates a three-level index simulation degree quantization index value B, which is calculated by four sub-indexes including a channel index T, a curve shape index Q, a curve phase index P and a curve amplitude index R, and specifically comprises the following steps:
B＝0.4·T+0.2·Q+0.2·P+0.2·R
calculating a channel index T:
acquiring known real human body reference injury time domain data, recording as C (t), and calculating a full score limit value delta15%. C | with a zero point limit of δ0Acquiring injury time domain data corresponding to the collision dummy, and calculating simulation degree quantization index values at each time point, wherein the damage time domain data is denoted as D (t):
further, calculating a channel index T of the time domain curve, wherein N is the number of discrete time domain data points:
further, curve shape index Q is calculated:
intercepting known real human body reference injury time domain data C (t) and time domain data D (t) corresponding to the injury of the collision dummy in the same time period, wherein the time starting point is defined as tstartThe time end point is defined as tendIf the total number of the intercepted data is N, then N is f (t)start-tend) +1, where f is the data sampling frequency;
d (t) is translated along the time axis by m data points, the upper limit of the translation m is limited to INT (0.2N) +1, so that m ranges from 0, + -1, + -2, …, ± (INT (0.2N) + 1); after translation, the number of the overlapped part of the two groups of data is N-m;
when different movement amounts m are calculated, the phase correlation S (m) value of the real human body data and the dummy data is as follows:
the left translation calculation method comprises the following steps:
when m is equal to m0When S (m) reaches a maximum value S (m)0)；
The curve shape index Q is then equal to:
on the basis of the calculated values, further calculating a curve phase index P:
on the basis of the calculated value, further curve amplitude index R:
step three: and calculating a second-level index simulation degree quantization index value by using the third-level index simulation degree quantization index value, wherein the calculation method comprises the following steps:
step four: and calculating a first-level index simulation degree quantization index value by using a second-level index simulation degree quantization index value, wherein the calculation method comprises the following steps:
step five: and (3) calculating the total biological simulation degree index of the collision dummy by utilizing the first-level index simulation degree quantization index value, wherein the calculation method comprises the following steps:
2. A method for evaluating the bio-simulation degree of a dummy in a collision test according to claim 1, characterized in that: in the second step, if the three-level index simulation degree quantization index value is calculated by using a single-value analysis method, the calculation method is as follows:
extracting corresponding injury value according to known real human body reference injury data, recording as C, and the full-scale limit value is delta15%. C | with a zero point limit of δ050% · | C |; further, obtaining a corresponding injury value of the dummy in the collision test, recording the injury value as D, and calculating to obtain a simulation degree quantization index value of a three-level index:
in the second step, if the method of time domain curve analysis is applied to calculate the quantization index value B of the three-level index simulation degree, the calculation method is as follows:
the method for time domain curve analysis calculates a three-level index simulation degree quantization index value B, which is calculated by four sub-indexes including a channel index T, a curve shape index Q, a curve phase index P and a curve amplitude index R, and specifically comprises the following steps:
B＝0.4·T+0.2·Q+0.2·P+0.2·R
calculating a channel index T:
acquiring known real human body reference injury time domain data, recording as C (t), and calculating a full score limit value delta15%. C | with a zero point limit of δ050%. C, where C max (| max (C (t)) |, | min (C (t)) |),acquiring injury time domain data corresponding to the collision dummy, recording the injury time domain data as D (t), and calculating an analog degree quantization index value at each time point:
further, calculating a channel index T of the time domain curve, wherein N is the number of discrete time domain data points:
further, curve shape index Q is calculated:
intercepting known real human body reference injury time domain data C (t) and time domain data D (t) corresponding to the injury of the collision dummy in the same time period, wherein the time starting point is defined as tstartThe time end point is defined as tendIf the total number of the intercepted data is N, then N is f (t)start-tend) +1, where f is the data sampling frequency;
d (t) is translated along the time axis by m data points, the upper limit of the translation m is limited to INT (0.2N) +1, so that m ranges from 0, + -1, + -2, …, ± (INT (0.2N) + 1); after translation, the number of the overlapped part of the two groups of data is N-m;
when different movement amounts m are calculated, the phase correlation S (m) value of the real human body data and the dummy data is as follows:
the left translation calculation method comprises the following steps:
when m is equal to m0When S (m) reaches a maximum value S (m)0)；
The curve shape index Q is then equal to:
on the basis of the calculated values, further calculating a curve phase index P:
on the basis of the calculated value, further curve amplitude index R:
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