JP2014035265A - Apparatus and method for predicting damage value using human body simulation device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an apparatus and method for predicting a damage value using a human body simulation device, to predict a damage value of a passenger in detail.SOLUTION: A method of predicting a damage value includes: dividing a waist of a human body simulation device into a plurality of areas at a predetermined interval in a grid shape on a surface perpendicular to a direction of applying impact (S1); applying constant impact for each area, and detecting pelvis load and pelvis central acceleration for each area by using a load meter for pelvis of the waist and an acceleration meter around trunk of the waist, for each area (S2-S5); determining pelvis load sensitivity in each area by using the maximum pelvis load in all the areas, preparing pelvis load sensitivity distribution, determining pelvis central acceleration sensitivity in each area by using the maximum pelvis central acceleration in all the area, and preparing pelvis central acceleration sensitivity distribution (S6); and extracting an area having low pelvis load sensitivity and high pelvis central acceleration sensitivity on the basis of the prepared pelvis load sensitivity distribution and pelvis central acceleration sensitivity distribution (S7).

Description

  The present invention relates to an injury value prediction apparatus and method using a human body simulation device.

  In order to reduce occupant injury at the time of a vehicle collision, conventionally, for example, using methods such as those shown in Patent Documents 1 and 2 below, an injury value to an occupant is predicted (evaluated), and examination of injury value reduction is performed. It was.

JP-A-8-240509 JP2011-209285A

  In the conventional method, the injury value is predicted for a rough part of the occupant, for example, chest, shoulder, waist, etc., and based on the prediction, the shock absorber of the vehicle is optimized to reduce the injury value. I was trying. However, there has been no example of predicting the injury value over details of the occupant, for example, the iliac bone, acetabulum, etc. in the case of the lumbar region.

  The present invention has been made in view of the above problems, and an object thereof is to provide an injury value prediction apparatus and method using a human body simulation device that predicts an injury value over the details of an occupant.

An injury value prediction apparatus using the human body simulation apparatus according to the first invention for solving the above-described problems is provided.
A collision member that gives an impact to the human body simulation device for simulating the human body;
An impact value measuring means which is provided at a predetermined location in one part constituting the human body simulation device and measures an impact value generated at the predetermined location by the impact of the collision member;
A trunk center acceleration measuring means that is provided at the trunk center in the one part and measures the acceleration of the trunk center caused by the impact of the collision member;
Control means for controlling the collision member, and performing a predetermined calculation process based on the impact value and trunk center acceleration detected by the impact value measuring means and the trunk center acceleration measuring means,
The control means includes
The one part is divided into a plurality of areas in a lattice shape at regular intervals on a surface perpendicular to the direction in which the impact is applied by the collision member,
A constant impact is given by the collision member for each area, and the impact value and trunk center acceleration generated by the impact in each area are detected over the entire area,
Using the maximum impact value in all areas, determine the impact sensitivity in each area, create the distribution of the impact sensitivity, and use the maximum trunk center acceleration in all areas to determine the trunk center acceleration in each area Find the sensitivity, create the trunk center acceleration sensitivity distribution,
An area having a low impact sensitivity and a high trunk center acceleration sensitivity is extracted based on the created distribution of the impact sensitivity and the distribution of the trunk center acceleration sensitivity.

An injury value prediction apparatus using the human body simulation apparatus according to the second invention for solving the above-mentioned problems is provided.
In the injury value prediction apparatus using the human body simulation device according to the first invention,
The impact value measuring means is a load meter that measures a load generated at the predetermined location due to an impact of the collision member.

An injury value predicting apparatus using a human body simulation apparatus according to a third invention for solving the above-mentioned problems is
In the injury value prediction apparatus using the human body simulation device according to the first invention,
The impact value measuring means is an accelerometer that measures acceleration generated at the predetermined location by the impact of the collision member.

An injury value prediction apparatus using the human body simulation apparatus according to the fourth invention for solving the above-described problems is provided.
In the injury value prediction apparatus using the human body simulation device according to the first invention,
The impact value measuring means is a displacement meter that measures a displacement amount generated at the predetermined location due to an impact of the collision member.

The injury value prediction method using the human body simulation device according to the fifth invention for solving the above-mentioned problem is as follows.
Dividing one part constituting the human body simulation device for simulating the human body into a plurality of areas in a lattice shape at regular intervals on a plane perpendicular to the direction of impact,
Applying a constant impact for each area, using an impact value measuring means provided at a predetermined location in the one part and a trunk center acceleration measuring means provided at the center of the trunk in the one part, The impact value and trunk center acceleration generated by the impact in the area are detected over the entire area,
Using the maximum impact value in all areas, determine the impact sensitivity in each area, create the distribution of the impact sensitivity, and use the maximum trunk center acceleration in all areas to determine the trunk center acceleration in each area Find the sensitivity, create the trunk center acceleration sensitivity distribution,
An area having a low impact sensitivity and a high trunk center acceleration sensitivity is extracted based on the created distribution of the impact sensitivity and the distribution of the trunk center acceleration sensitivity.

The injury value prediction method using the human body simulation device according to the sixth invention for solving the above-mentioned problem is as follows.
In the injury value prediction method using the human body simulation device according to the fifth invention,
The impact value measuring means is a load meter that measures a load generated at the predetermined location due to an impact of the collision member.

The injury value prediction method using the human body simulation device according to the seventh invention for solving the above-mentioned problems is as follows.
In the injury value prediction method using the human body simulation device according to the fifth invention,
The impact value measuring means is an accelerometer that measures acceleration generated at the predetermined location by the impact of the collision member.

The injury value prediction method using the human body simulation device according to the eighth invention for solving the above-mentioned problems is as follows.
In the injury value prediction method using the human body simulation device according to the fifth invention,
The impact value measuring means is a displacement meter that measures a displacement amount generated at the predetermined location due to an impact of the collision member.

  According to the present invention, one part of the human body simulation device is subdivided into a plurality of areas, and for all areas, an impact value by constant impact and a sensitivity distribution of trunk center acceleration are created. Based on the distribution of trunk center acceleration sensitivity, areas with low impact sensitivity and high trunk center acceleration sensitivity are extracted, so it is possible to predict and analyze the tendency of injury values to occur for passenger details. it can. As a result, it is possible to take measures to reduce the injury value over the details of the occupant.

It is the schematic which shows the injury value prediction apparatus using the human body simulation apparatus which concerns on this invention. It is a perspective view which shows the structure of the waist | hip | lumbar part of the human body simulation apparatus shown in FIG. It is a flowchart explaining the injury value prediction method implemented with the injury value prediction apparatus using the human body simulation apparatus shown in FIG. It is a side view which shows the waist | hip | lumbar part side surface of the human body simulation apparatus shown in FIG. It is a figure which shows the state which subdivided the waist part side surface shown in FIG. It is a distribution map which shows the pelvic load sensitivity calculated | required in the flowchart shown in FIG. It is a distribution map which shows the pelvic center acceleration sensitivity calculated | required in the flowchart shown in FIG. FIG. 8 is an evaluation distribution diagram showing areas in which injury values to the lower back can be reduced based on the distribution diagram of pelvic load sensitivity shown in FIG. 6 and the distribution diagram of pelvic center acceleration sensitivity shown in FIG. 7.

  Hereinafter, an embodiment of an injury value prediction apparatus and method using a human body simulation apparatus according to the present invention will be described with reference to FIGS. Here, the human body simulation device is used and the injury value prediction is performed by the injury value prediction device. However, even if the human body simulation device itself is simulated in the computer that is also the injury value prediction device, the injury value prediction is similarly performed. Can be done.

Example 1
FIG. 1 is a schematic diagram showing an injury value prediction apparatus using the human body simulation apparatus of the present embodiment, and FIG. 2 is a perspective view showing the structure of the waist of the human body simulation apparatus shown in FIG. FIG. 3 is a flowchart for explaining an injury value prediction method implemented by the injury value prediction apparatus using the human body simulation apparatus shown in FIG. 4 is a side view showing a waist side surface of the human body simulation apparatus shown in FIG. 1, and FIG. 5 is a diagram showing a state where the waist side surface shown in FIG. 4 is subdivided. 6 and 7 are distribution diagrams showing the pelvic load sensitivity and the pelvic center acceleration sensitivity obtained in the flowchart shown in FIG. 3, and FIG. 8 is a distribution diagram and a diagram of the pelvic load sensitivity shown in FIG. FIG. 8 is an evaluation distribution diagram showing areas in which injury values to the lower back can be reduced based on the distribution diagram of pelvic center acceleration sensitivity shown in FIG.

  In the present embodiment, a human body simulation apparatus, so-called dummy doll (hereinafter referred to as a dummy) 10, used for simulating a human body and outputting data at the time of a vehicle collision experiment is used. There are various types of dummy 10 according to the occupant's body shape and the type of collision (frontal collision, side collision, etc.). Therefore, a measuring instrument, for example, an accelerometer, a load meter, a displacement meter or the like is attached.

  In particular, the present embodiment aims at predicting injury values in detail in each part of the occupant, rather than in rough parts such as the occupant's chest, shoulders, and waist (including the thigh). For example, in the case of the lumbar region, it is necessary to protect the iliac bone, acetabulum, and the like that constitute the pelvis during a side collision, and therefore, it is necessary to predict the injury value of the part corresponding to the pelvis. Therefore, the injury value is predicted using the dummy 10 having the waist 20 having the structure shown in FIG. Hereinafter, as an example, the waist 20 shown in FIG. 2 will be described as an example.

  The injury value of the lower back is evaluated by an impact value input from the dummy body surface side to the pelvis. Specifically, it is evaluated by the total value of impact values input to a location corresponding to the iliac bone and a location corresponding to the acetabulum. Therefore, in order to reduce the lumbar injury value at the time of a side collision, it is necessary to reduce the impact value acting on the pelvis (iliac bone, acetabulum). The impact value is obtained from the acceleration, deformation amount, and load generated on the body surface side (side surface side) from the center of the dummy trunk in the region corresponding to the pelvis (iliac bone, acetabulum) at the time of collision ( In this embodiment, the pelvic load input to the pelvis (iliac bone, acetabulum) is measured. The lumbar portion 20 of the dummy 10 according to the present embodiment is provided with an acetabular load meter 21 (impact value measuring means) for measuring the load at the portion of the pelvis 25 corresponding to the acetabulum 26. In addition, an iliac load meter 22 (impact value measuring means) for measuring the load at the location is provided at a location corresponding to the iliac 27 of the pelvis 25. From the values of these load meters, the pelvis (iliac, The impact value acting on the acetabulum is calculated.

  Needless to say, it is effective to reduce the impact value input to the pelvis in order to reduce the injury value of the lumbar region, but this is not sufficient. In order to more effectively reduce the impact value on the pelvis, it is necessary to accelerate the waist (pelvis) and move it to the vehicle interior side. In other words, it is an effective means to keep the waist (pelvis) away from the vehicle door or the like entering the waist. Therefore, in order to reduce the injury value of the lower back more effectively, it is necessary to move (accelerate) the lower back (pelvis) to the vehicle interior side while reducing the impact value input to the pelvis. Here, in order to move (accelerate) the waist (pelvis) to the vehicle interior side, it is necessary to push the region of the waist including the thigh with a door trim, an airbag, or the like. However, depending on which part of the lumbar region is pressed, the influence on the pelvis (iliac bone, acetabulum), that is, the impact value generated in the pelvis and the acceleration of the central part of the pelvis (center of the trunk) are different. Therefore, it is necessary to grasp the generation tendency of the pelvic impact value and the pelvic center acceleration in the lumbar area. In addition, it is possible to understand the injury value of the lumbar region by grasping the site where the pelvic impact value acting on the pelvis (iliac bone, acetabulum) is low and the pelvic center acceleration generated at the trunk center of the lumbar region (pelvis) is large. It is necessary for effective reduction.

  In the present embodiment, the lumbar 20 of the dummy 10 is further provided with a pelvic center accelerometer 23 (trunk) that measures acceleration at the center (trunk center) of the pelvis at the center (trunk center) of the pelvis 25. Central acceleration measuring means) is provided, and the amount of displacement of the pelvis is estimated from the measured value of the accelerometer. Note that the acetabular load meter 21 and the iliac load meter 22 are arranged on the body surface side from the pelvic center accelerometer 23 at the center of the trunk. Further, as an impact value measuring means, an acetabular load meter 21 and an iliac load meter 22 are provided, and a pelvic load (total load measured by each of the acetabular load meter 21 and the iliac load meter 22) is calculated. Although it is measured, an impact value may be estimated from an acceleration or a displacement amount generated on the body surface side by providing an accelerometer or a displacement meter instead of the load meter.

  In this embodiment, as shown in FIG. 1, the impactor (collision member) 31 is controlled by using a computer (control means) 30, and a plurality of points on the waist 20 are fixed to each other as will be described later. A pelvis showing a pelvic impact value by applying an impact, detecting the load and acceleration due to the impact using the acetabular load meter 21, the iliac load meter 22, and the pelvic center accelerometer 23, and performing a predetermined calculation process. The generation tendency of load and pelvic center acceleration is obtained.

  Here, with reference to FIGS. 4 to 8 together with the flowchart shown in FIG. 3, an injury value prediction method implemented by the injury value prediction apparatus using the human body simulation device of the present embodiment will be described.

(Steps S1 and S2)
4, as shown in FIG. 5, (in certain area) at regular intervals with the side of the waist 20 is divided in a grid pattern, subdivided into n areas P _i. This subdivided surface is a surface perpendicular to the direction in which the impactor 31 applies an impact, and when the impact is applied in the Y direction, it becomes an XZ plane. Here, n is an integer, i is an integer of i = 1 to n, and i = 1 at the beginning. Note that the side surface of the waist 20 may be subdivided into an area P _jk of l columns × m rows. In this case, l and m are integers, j is an integer of j = 1 to 1, k is an integer of k = 1 to m, and j = 1 and k = 1 at the beginning. In the following, the case of subdividing into n areas P _i will be described. However, when subdividing into an area P _jk of l columns × m rows, “i” may be read as “jk”.

(Steps S3 to S5)
Next, a fixed impact is applied to the subdivided area P _i from the side in the Y direction by the impactor 31, and the pelvic load F indicating the pelvic impact value by the acetabular load meter 21 and the iliac load meter 22. _i (the total load of the loads measured by each of the acetabular load meter 21 and the iliac load meter 22) is detected, and the pelvic center acceleration meter 23 detects the pelvic center acceleration A _i . Then, the i = i + 1, with respect to another area P _{i + 1,} likewise, giving certain impact, detects the pelvic load F _{i + 1} and pelvis central acceleration A _{i + 1,} this, By repeating until i = n, the same procedure is performed in all areas P _i . When subdividing into an area P _jk of l columns × m rows, j = j + 1 is repeated for each row column, the same procedure is repeated until j = 1, and this is set to k = k + 1 for all rows, The same procedure is repeated for all areas P _jk by repeating the same procedure until k = m.

(Step S6)
Using the maximum pelvic load F _max (maximum impact value) in all areas of the detected pelvic load F _i and the maximum pelvic center acceleration A _max in all areas of the detected pelvic center acceleration A _i , Then, pelvic load sensitivity SF _i (pelvic impact sensitivity) and pelvic center acceleration sensitivity SA _i in each area P _i are calculated. Then, a sensitivity distribution is created based on the pelvic load sensitivity SF _i and the pelvic center acceleration sensitivity SA _i calculated for each area P _i .

SF _i = F _i / F _max
SA _i = A _i / A _max

The distribution chart shown in FIG. 6 is a sensitivity distribution chart of pelvic load sensitivity SF _i in the Y direction, and the distribution chart shown in FIG. 7 is a sensitivity distribution chart of pelvic center acceleration sensitivity SA _i in the Y direction. As shown in FIG. 6, the pelvic load sensitivity SF _i in the Y direction of the waist 20 is high from the center to the back of the waist 20, and the front of the waist 20 is low. On the other hand, as shown in FIG. 7, the pelvic center acceleration sensitivity SA _i in the Y direction of the lumbar part 20 is high in sensitivity from the center of the lumbar part 20 to the rear, and also relatively high in the front part of the lumbar part 20.

Although the total load is used for the pelvic load sensitivity SF _i , when totaling the loads, the total load may be obtained by weighting. Alternatively, the pelvic load sensitivity SF _i may be obtained independently for the acetabular load meter 21 and the iliac load meter 22. Further, in the pelvic center acceleration sensitivity SA _i, are used the size of the acceleration, the amount with respect to time, for example, including such time to reach the maximum acceleration, be calculated pelvic center acceleration sensitivity SA _i Good.

Here, high pelvic load sensitivity SF _i means that pelvic load (pelvic impact value) is likely to occur, and high pelvic center acceleration sensitivity SA _i means that pelvic center acceleration is likely to occur. To do. Accordingly, pelvic load (pelvic impact value) and pelvic center acceleration are likely to occur with respect to the input (impact) from the center to the rear of the lumbar part 20, and the pelvic load (pelvic impact value) with respect to the input is likely to occur in front of the lumbar part 20. Pelvic center acceleration is likely to occur while it is unlikely to occur.

  From the above, it can be seen that the pelvic load (pelvic impact value) hardly occurs and the pelvic center acceleration is likely to occur in the area in front of the lumbar 20, particularly in the thigh.

(Step S7)
Based on the sensitivity distribution diagram of the pelvic load sensitivity SF _i shown in FIG. 6 and the sensitivity distribution diagram of the pelvic center acceleration sensitivity SA _i shown in FIG. 7, the pelvic load sensitivity SF _i is low (the pelvic load is difficult to occur), and In order to extract areas where the pelvic center acceleration sensitivity SA _i is high (the pelvic center acceleration is likely to occur), an evaluation distribution map for evaluating them is created. For example, in the evaluation distribution chart shown in FIG. 8, the pelvic center acceleration sensitivity SA _i in each area P _i is divided by the pelvic load sensitivity SF _i, are creating an evaluation distribution diagram. If an evaluation distribution map as shown in FIG. 8 is created, it can be predicted that a portion having a low evaluation value in the evaluation distribution diagram is likely to generate an injury value at the time of a collision. It is possible to propose a shock reducing structure. On the other hand, it is possible to predict that a place with a high evaluation value in the evaluation distribution map is unlikely to generate an injury value at the time of a collision. Therefore, an impact reduction that restrains an occupant by contacting an air bag or a door trim to this place A structure can be proposed.

  According to the evaluation result according to the present example, since the evaluation value of the thigh located in front of the lumbar 20 is high and it can be predicted that the impact resistance is relatively high, the occupant's lumbar region, in particular, the iliac bone and the acetabulum It is possible to propose an optimal structure that appropriately protects the occupant, for example, an optimal structure of a door trim, by restraining the occupant's thigh to reduce the impact value to the occupant Become.

  As described above, in this embodiment, the sensitivity distribution of the load sensitivity (impact sensitivity) and the trunk center acceleration sensitivity as the injury value generation sensitivity is created for one part of the dummy that simulates the occupant. Can be predicted over the details of each site. Based on this prediction, it is possible to verify the optimal input conditions (impact conditions) to the occupant to reduce the injury value to the occupant, and as a result, to propose an optimal structure that protects the occupant more appropriately Is possible.

  In the present embodiment, as an example, the injury value to the occupant's waist in a side collision has been described, but it is not limited to a side collision, but can also be applied to a frontal collision, etc. It can also be applied to the chest and shoulders.

  The present invention is applied to predicting the injury value of an occupant of a vehicle, and this injury value prediction makes it possible to propose an optimal structure such as a shock absorbing structure of a vehicle.

10 Dummy 20 Lumbar 21 Acetabular load cell (impact value measuring means)
Iliac load meter (impact value measuring means)
23 Pelvic center accelerometer (trunk center acceleration measuring means)
30 Computer 31 Impactor

Claims (8)

A collision member that gives an impact to the human body simulation device for simulating the human body;
An impact value measuring means which is provided at a predetermined location in one part constituting the human body simulation device and measures an impact value generated at the predetermined location by the impact of the collision member;
A trunk center acceleration measuring means that is provided at the trunk center in the one part and measures the acceleration of the trunk center caused by the impact of the collision member;
Control means for controlling the collision member, and performing a predetermined calculation process based on the impact value and trunk center acceleration detected by the impact value measuring means and the trunk center acceleration measuring means,
The control means includes
The one part is divided into a plurality of areas in a lattice shape at regular intervals on a surface perpendicular to the direction in which the impact is applied by the collision member,
A constant impact is given by the collision member for each area, and the impact value and trunk center acceleration generated by the impact in each area are detected over the entire area,
Using the maximum impact value in all areas, determine the impact sensitivity in each area, create the distribution of the impact sensitivity, and use the maximum trunk center acceleration in all areas to determine the trunk center acceleration in each area Find the sensitivity, create the trunk center acceleration sensitivity distribution,
Injury using a human body simulation device that extracts an area with low impact sensitivity and high trunk center acceleration sensitivity based on the created distribution of shock sensitivity and distribution of the trunk center acceleration sensitivity Value prediction device. Injury value prediction apparatus using the human body simulation device according to claim 1,
The injury value prediction device using a human body simulation device, wherein the impact value measurement means is a load meter that measures a load generated at the predetermined location due to an impact of the collision member. Injury value prediction apparatus using the human body simulation device according to claim 1,
The injury value prediction device using a human body simulation device, wherein the impact value measuring means is an accelerometer that measures acceleration generated at the predetermined location due to an impact of the collision member. Injury value prediction apparatus using the human body simulation device according to claim 1,
The injury value prediction device using a human body simulation device, wherein the impact value measurement means is a displacement meter that measures a displacement amount generated at the predetermined location due to an impact of the collision member. Dividing one part constituting the human body simulation device for simulating the human body into a plurality of areas in a lattice shape at regular intervals on a plane perpendicular to the direction of impact,
Applying a constant impact for each area, using an impact value measuring means provided at a predetermined location in the one part and a trunk center acceleration measuring means provided at the center of the trunk in the one part, The impact value and trunk center acceleration generated by the impact in the area are detected over the entire area,
Using the maximum impact value in all areas, determine the impact sensitivity in each area, create the distribution of the impact sensitivity, and use the maximum trunk center acceleration in all areas to determine the trunk center acceleration in each area Find the sensitivity, create the trunk center acceleration sensitivity distribution,
Injury using a human body simulation device that extracts an area with low impact sensitivity and high trunk center acceleration sensitivity based on the created distribution of shock sensitivity and distribution of the trunk center acceleration sensitivity Value prediction method. In the injury value prediction method using the human body simulation device according to claim 5,
The injury value prediction method using a human body simulation device, wherein the impact value measurement means is a load meter that measures a load generated at the predetermined location due to an impact of the collision member. In the injury value prediction method using the human body simulation device according to claim 5,
The injury value prediction method using a human body simulation device, wherein the impact value measuring means is an accelerometer that measures acceleration generated at the predetermined location due to an impact of the collision member. In the injury value prediction method using the human body simulation device according to claim 5,
The injury value prediction method using a human body simulation device, wherein the impact value measuring means is a displacement meter that measures a displacement amount generated at the predetermined location due to an impact of the collision member.

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