中国物理B ›› 2021, Vol. 30 ›› Issue (6): 66201-066201.doi: 10.1088/1674-1056/abd9b2

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Reconstruction and interpretation of photon Doppler velocimetry spectrum for ejecta particles from shock-loaded sample in vacuum

Xiao-Feng Shi(石晓峰)1, Dong-Jun Ma(马东军)1,†, Song-lin Dang(党松琳)2, Zong-Qiang Ma(马宗强)1, Hai-Quan Sun(孙海权)1, An-Min He(何安民)1, and Pei Wang(王裴)1,3,‡   

  1. 1 Institute of Applied Physical and Computational Mathematics, Beijing 100094, China;
    2 Jiangxi University of Applied Science, Nanchang 330103, China;
    3 Center for Applied Physics and Technology, Peking University, Beijing 100871, China
  • 收稿日期:2020-12-02 修回日期:2021-01-05 接受日期:2021-01-08 出版日期:2021-05-18 发布日期:2021-06-09
  • 通讯作者: Dong-Jun Ma, Pei Wang E-mail:ma_dongjun@iapcm.ac.cn;wangpei@iapcm.ac.cn
  • 基金资助:
    Project supported by the National Natural Science Foundation of China (Grant Nos. 11902043 and 11772065) and the Science Challenge Project (Grant No. TZ2016001).

Reconstruction and interpretation of photon Doppler velocimetry spectrum for ejecta particles from shock-loaded sample in vacuum

Xiao-Feng Shi(石晓峰)1, Dong-Jun Ma(马东军)1,†, Song-lin Dang(党松琳)2, Zong-Qiang Ma(马宗强)1, Hai-Quan Sun(孙海权)1, An-Min He(何安民)1, and Pei Wang(王裴)1,3,‡   

  1. 1 Institute of Applied Physical and Computational Mathematics, Beijing 100094, China;
    2 Jiangxi University of Applied Science, Nanchang 330103, China;
    3 Center for Applied Physics and Technology, Peking University, Beijing 100871, China
  • Received:2020-12-02 Revised:2021-01-05 Accepted:2021-01-08 Online:2021-05-18 Published:2021-06-09
  • Contact: Dong-Jun Ma, Pei Wang E-mail:ma_dongjun@iapcm.ac.cn;wangpei@iapcm.ac.cn
  • Supported by:
    Project supported by the National Natural Science Foundation of China (Grant Nos. 11902043 and 11772065) and the Science Challenge Project (Grant No. TZ2016001).

摘要: The photon Doppler velocimetry (PDV) spectrum is investigated in an attempt to reveal the particle parameters of ejecta from shock-loaded samples in a vacuum. A GPU-accelerated Monte-Carlo algorithm, which considers the multiple-scattering effects of light, is applied to reconstruct the light field of the ejecta and simulate the corresponding PDV spectrum. The influence of the velocity profile, total area mass, and particle size of the ejecta on the simulated spectra is discussed qualitatively. To facilitate a quantitative discussion, a novel theoretical optical model is proposed in which the single-scattering assumption is applied. With this model, the relationships between the particle parameters of ejecta and the peak information of the PDV spectrum are derived, enabling direct extraction of the particle parameters from the PDV spectrum. The values of the ejecta parameters estimated from the experimental spectrum are in good agreement with those measured by a piezoelectric probe.

关键词: ejecta, photon Doppler velocimetry, Monte-Carlo algorithm, light scattering

Abstract: The photon Doppler velocimetry (PDV) spectrum is investigated in an attempt to reveal the particle parameters of ejecta from shock-loaded samples in a vacuum. A GPU-accelerated Monte-Carlo algorithm, which considers the multiple-scattering effects of light, is applied to reconstruct the light field of the ejecta and simulate the corresponding PDV spectrum. The influence of the velocity profile, total area mass, and particle size of the ejecta on the simulated spectra is discussed qualitatively. To facilitate a quantitative discussion, a novel theoretical optical model is proposed in which the single-scattering assumption is applied. With this model, the relationships between the particle parameters of ejecta and the peak information of the PDV spectrum are derived, enabling direct extraction of the particle parameters from the PDV spectrum. The values of the ejecta parameters estimated from the experimental spectrum are in good agreement with those measured by a piezoelectric probe.

Key words: ejecta, photon Doppler velocimetry, Monte-Carlo algorithm, light scattering

中图分类号:  (Shock wave effects in solids and liquids)

  • 62.50.Ef
42.25.Dd (Wave propagation in random media) 42.79.Qx (Range finders, remote sensing devices; laser Doppler velocimeters, SAR, And LIDAR) 62.20.M- (Structural failure of materials)