Interrogation of linear/nonlinear features of guided waves for characterizing hypervelocity impact-induced pitting damage in shielding structures

Menglong Liu, Clifford Jesse Lissenden, III, Qiang Wang, Zhongqing Su, Qingming Zhang, Renrong Long, Fangsen Cui

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Hypervelocity impact (HVI) is a scenario ubiquitous in low Earth orbit, where HVI is typified by the collision between meteoroids and orbital debris and spacecraft with a relative speed greater than 10 km/s. A linear/nonlinear guided-wave-based approach for characterizing HVI-induced damage in a two-layer aluminum shielding structure (comprising inner and outer layers) is developed. After penetrating the outer layer, the generated debris cloud further impacts the inner layer, producing a unique form of damage with multitudinous small-scale pitting. In this study, aluminum spheres are discharged using a two-stage light gas gun, at an impact speed of ∼6 km/s, to introduce HVI to the outer shielding layer. Both linear/nonlinear features of guided waves propagating in the inner layer including various nonlinearity sources are investigated using finite element models, corroborated by experiment. With the models, the accumulation of nonlinear second harmonics (nonlinear features) in the case of phase matching is analyzed. Based on the numerical models and experimental discovery, linear/nonlinear indices are developed, via which a detection approach is developed, able to characterize HVI-induced pitting damage. In the approach, the second harmonics (nonlinear feature) show higher sensitivity to pitting damage compared to the fundamental wave (linear feature). Combining a path-based probability imaging algorithm with defined linear/nonlinear indices, this approach can identify HVI-induced damage to the spacecraft precisely and intuitively.

Original languageEnglish (US)
Title of host publicationStructural Health Monitoring 2017
Subtitle of host publicationReal-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017
EditorsFu-Kuo Chang, Fotis Kopsaftopoulos
PublisherDEStech Publications
Pages1819-1826
Number of pages8
ISBN (Electronic)9781605953304
StatePublished - Jan 1 2017
Event11th International Workshop on Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance, IWSHM 2017 - Stanford, United States
Duration: Sep 12 2017Sep 14 2017

Publication series

NameStructural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017
Volume1

Other

Other11th International Workshop on Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance, IWSHM 2017
CountryUnited States
CityStanford
Period9/12/179/14/17

Fingerprint

Spacecraft
Guided electromagnetic wave propagation
Pitting
Aluminum
Shielding
Meteoroids
Debris
Firearms
Orbit
Phase matching
Theoretical Models
Gases
Numerical models
Orbits
Earth (planet)
Imaging techniques
Experiments

All Science Journal Classification (ASJC) codes

  • Health Information Management
  • Computer Science Applications

Cite this

Liu, M., Lissenden, III, C. J., Wang, Q., Su, Z., Zhang, Q., Long, R., & Cui, F. (2017). Interrogation of linear/nonlinear features of guided waves for characterizing hypervelocity impact-induced pitting damage in shielding structures. In F-K. Chang, & F. Kopsaftopoulos (Eds.), Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017 (pp. 1819-1826). (Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017; Vol. 1). DEStech Publications.
Liu, Menglong ; Lissenden, III, Clifford Jesse ; Wang, Qiang ; Su, Zhongqing ; Zhang, Qingming ; Long, Renrong ; Cui, Fangsen. / Interrogation of linear/nonlinear features of guided waves for characterizing hypervelocity impact-induced pitting damage in shielding structures. Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017. editor / Fu-Kuo Chang ; Fotis Kopsaftopoulos. DEStech Publications, 2017. pp. 1819-1826 (Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017).
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title = "Interrogation of linear/nonlinear features of guided waves for characterizing hypervelocity impact-induced pitting damage in shielding structures",
abstract = "Hypervelocity impact (HVI) is a scenario ubiquitous in low Earth orbit, where HVI is typified by the collision between meteoroids and orbital debris and spacecraft with a relative speed greater than 10 km/s. A linear/nonlinear guided-wave-based approach for characterizing HVI-induced damage in a two-layer aluminum shielding structure (comprising inner and outer layers) is developed. After penetrating the outer layer, the generated debris cloud further impacts the inner layer, producing a unique form of damage with multitudinous small-scale pitting. In this study, aluminum spheres are discharged using a two-stage light gas gun, at an impact speed of ∼6 km/s, to introduce HVI to the outer shielding layer. Both linear/nonlinear features of guided waves propagating in the inner layer including various nonlinearity sources are investigated using finite element models, corroborated by experiment. With the models, the accumulation of nonlinear second harmonics (nonlinear features) in the case of phase matching is analyzed. Based on the numerical models and experimental discovery, linear/nonlinear indices are developed, via which a detection approach is developed, able to characterize HVI-induced pitting damage. In the approach, the second harmonics (nonlinear feature) show higher sensitivity to pitting damage compared to the fundamental wave (linear feature). Combining a path-based probability imaging algorithm with defined linear/nonlinear indices, this approach can identify HVI-induced damage to the spacecraft precisely and intuitively.",
author = "Menglong Liu and {Lissenden, III}, {Clifford Jesse} and Qiang Wang and Zhongqing Su and Qingming Zhang and Renrong Long and Fangsen Cui",
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Liu, M, Lissenden, III, CJ, Wang, Q, Su, Z, Zhang, Q, Long, R & Cui, F 2017, Interrogation of linear/nonlinear features of guided waves for characterizing hypervelocity impact-induced pitting damage in shielding structures. in F-K Chang & F Kopsaftopoulos (eds), Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017. Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017, vol. 1, DEStech Publications, pp. 1819-1826, 11th International Workshop on Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance, IWSHM 2017, Stanford, United States, 9/12/17.

Interrogation of linear/nonlinear features of guided waves for characterizing hypervelocity impact-induced pitting damage in shielding structures. / Liu, Menglong; Lissenden, III, Clifford Jesse; Wang, Qiang; Su, Zhongqing; Zhang, Qingming; Long, Renrong; Cui, Fangsen.

Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017. ed. / Fu-Kuo Chang; Fotis Kopsaftopoulos. DEStech Publications, 2017. p. 1819-1826 (Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017; Vol. 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Liu M, Lissenden, III CJ, Wang Q, Su Z, Zhang Q, Long R et al. Interrogation of linear/nonlinear features of guided waves for characterizing hypervelocity impact-induced pitting damage in shielding structures. In Chang F-K, Kopsaftopoulos F, editors, Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017. DEStech Publications. 2017. p. 1819-1826. (Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017).