42 Damage Localization of Debris Cloud Hypervelocity Impact …
485
Fig. 42.10 Damage area
prediction and experimental
results
Fit the data according to the experimental parameters, we obtain
D 99
S
= − 0.04322 · W
−3.988
E E
+ 1.724
(42.12)
The predict results are shown in Table 42.2 and Fig. 42.10. It should be noted
that the fitting formula is not considered the projectile size, bumper thickness, etc.
The scope of application of the formula has some limitations and needs to be further
improved.
42.5 Conclusion
A new technique to locate debris cloud impact damage is proposed. The proposed
technique is first to locate the damage center based on minimizing an error function.
According to the change of signal spectrum characteristics with impact velocity,
the characteristic parameter of the signals are constructed to estimate the damage
area. Experimental results show the damage center and damage area fit well with the
prediction.
Acknowledgements This study is supported by a Grand of Changshu Institute of technology (No.
KYZ2016003).
485
Fig. 42.10 Damage area
prediction and experimental
results
Fit the data according to the experimental parameters, we obtain
D 99
S
= − 0.04322 · W
−3.988
E E
+ 1.724
(42.12)
The predict results are shown in Table 42.2 and Fig. 42.10. It should be noted
that the fitting formula is not considered the projectile size, bumper thickness, etc.
The scope of application of the formula has some limitations and needs to be further
improved.
42.5 Conclusion
A new technique to locate debris cloud impact damage is proposed. The proposed
technique is first to locate the damage center based on minimizing an error function.
According to the change of signal spectrum characteristics with impact velocity,
the characteristic parameter of the signals are constructed to estimate the damage
area. Experimental results show the damage center and damage area fit well with the
prediction.
Acknowledgements This study is supported by a Grand of Changshu Institute of technology (No.
KYZ2016003).