An FBG-Based Hard Landing Monitoring System: Assessment for Drops on Different Soils

被引:0
|
作者
Brindisi, Angela [1 ]
Vendittozzi, Cristian [2 ]
Travascio, Lidia [3 ]
Belardo, Marika [4 ]
Ignarra, Michele [5 ]
Fiorillo, Vincenzo [5 ]
Concilio, Antonio [1 ]
机构
[1] CIRA Italian Aerosp Res Ctr, Dept Adapt Struct, I-81043 Capua, Italy
[2] Sapienza Univ Rome, Dept Chem Engn Mat Environm, I-00184 Rome, Italy
[3] CIRA Italian Aerosp Res Ctr, Dept Reliabil & Safety Crit Infrastructure, I-81043 Capua, Italy
[4] CIRA Italian Aerosp Res Ctr, Dept Airframe Design & Dynam, I-81043 Capua, Italy
[5] CIRA Italian Aerosp Res Ctr, Aerosp Struct Crash Facil, I-81043 Capua, Italy
关键词
landing gear; drop test; hard impact; integrated sensor network; strain detection; fiber Bragg grating (FBG); fiber optics; aircraft; SENSORS; WEIGHT;
D O I
10.3390/photonics12030197
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
This study aims to develop an integrated monitoring system using a fiber Bragg grating sensor network to record the structural response of a landing gear system under operational loads to detect hard landing conditions on soils with different absorbing characteristics and to differentiate between soil types during landings. This paper refers to drop tests carried out at a drop tower of the test article, an integrated leaf spring landing gear with fiber Bragg grating sensors, measuring strain to evaluate landings from different heights on different soil types: hard soil, sand, and gravel. Cross-correlation and fast Fourier transform analyses can help to assess the repeatability of the impact tests, to assess the developed system as very reliable in detecting landing conditions and ensure very low error in the accuracy of the sensor placement, or to assess whether different impacts under different conditions produce consistent responses.
引用
收藏
页数:23
相关论文
共 50 条
  • [21] FBG-Based Soft System for Assisted Epidural Anesthesia: Design Optimization and Clinical Assessment
    De Tommasi, Francesca
    Romano, Chiara
    Lo Presti, Daniela
    Massaroni, Carlo
    Carassiti, Massimiliano
    Schena, Emiliano
    BIOSENSORS-BASEL, 2022, 12 (08):
  • [22] FBG-based smart bed system for healthcare applications
    Jianzhong HAO
    Maniyeri JAYACHANDRAN
    Poh Leong KNG
    Siang Fook FOO
    Phyo Wai AUNG AUNG
    Zhaohui CAI
    Frontiers of Optoelectronics in China, 2010, 3 (01) : 78 - 83
  • [23] FBG-Based Loosening Angle Measurement Sensor for Bolt Looseness Monitoring
    Zhang, Wenxin
    Wang, Tao
    Yu, Wei
    Deng, Shaohua
    Xiao, Yunke
    Lu, Guangtao
    IEEE SENSORS JOURNAL, 2025, 25 (03) : 4254 - 4260
  • [24] Building Structural Health Monitoring: an FBG-based estimation of external vibrations
    Sliti, Maha
    Boudriga, Noureddine
    2021 18TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD), 2021, : 1026 - 1031
  • [25] Long-term monitoring FBG-based cable load sensor
    Zhang, Zhichun
    Zhou, Zhi
    Wang, Chuan
    Ou, Jinping
    SMART STRUCTURES AND MATERIALS 2006: SMART SENSOR MONITORING SYSTEMS AND APPLICATIONS, 2006, 6167
  • [26] Design and experimental study on FBG-based crack extension monitoring sensor
    Dai, Tong-tong
    Jia, Zi-guang
    Ren, Liang
    Li, Ye-tian
    Ma, Guang-da
    OPTICAL FIBER TECHNOLOGY, 2022, 71
  • [27] FBG-based monitoring of solidification strain development in a microstereolithography photocurable resin
    Schizas, Charalampos
    Karalekas, Dimitris
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2009, 209 (05) : 2349 - 2355
  • [28] Fusion of a FBG-based health monitoring system for wind turbines with a fiber-optic lightning detection system
    Kraemer, Sebastian G. M.
    Wiesent, Benjamin
    Mueller, Mathias S.
    Leon, Fernando Puente
    Hernandez, Yaru Mendez
    19TH INTERNATIONAL CONFERENCE ON OPTICAL FIBRE SENSORS, PTS 1 AND 2, 2008, 7004
  • [29] Design and experimental study on FBG-based crack extension monitoring sensor
    Dai, Tong-tong
    Jia, Zi-guang
    Ren, Liang
    Li, Ye-tian
    Ma, Guang-da
    Optical Fiber Technology, 2022, 71
  • [30] A Rugged FBG-Based Pressure Sensor for Water Level Monitoring in Dikes
    Schenato, Luca
    Aguilar-Lopez, Juan Pablo
    Galtarossa, Andrea
    Pasuto, Alessandro
    Bogaard, Thom
    Palmieri, Luca
    IEEE SENSORS JOURNAL, 2021, 21 (12) : 13263 - 13271