Galvanic sensor for monitoring structural damage

被引:0
|
作者
Aiello, Lorenzo [1 ]
Agarwala, Vinod
机构
[1] Italian Air Force, Flight Test Ctr, Dept Chem, AFB Practica Mare, I-00040 Pomezia, Italy
[2] USN, Air Warfare Ctr, Div Aircraft, Patuxent River, MD USA
关键词
D O I
暂无
中图分类号
O646 [电化学、电解、磁化学];
学科分类号
081704 ;
摘要
In recent years there has been an increased research activity on aircraft health monitoring tools. Numerous studies have been carried out as a response to the demand for a better damage detection in inaccessible areas. In most of these studies, the hidden corrosion events are significantly related to the nature and magnitude of corrosive environment present in the localized hidden areas. Because of the difficulty in accessing hidden zones and the limitations of NDE currently used, primarily corrosion damages go undetected in the hidden areas during routine maintenance inspection. For old aircraft, the accumulation with time of even weak/least corrosive environments can produce serious structural damage, as demonstrated by enormous weight loss of material in some parts. In many critical aircraft parts the undetected corroded surfaces may lead to structural concerns acting as promoters and/or initiation sites of stress corrosion cracking and corrosion fatigue phenomena. In an earlier effort, galvanic probes were designed and employed to measure galvanic current using electrochemical technique to monitor the corrosivity of an environment on a continuing basis in inaccessible areas. Among them, the ICS (Intelligent Corrosivity Sensor) has been the most successful application: this probe is a galvanic device that uses the condensed moisture and the environment's pollutants as an electrolyte, generating a cell current that relates to the corrosivity of the condensed film. In the present work, a preliminary study has been done on modified ICS, to develop a probe for specifically measuring the corrosion structural part as in lap joints; i.e., probes were installed on the internal side of sandwich specimens made of Al 7075-T6 alloy. Preliminary results show that the sensor output from such tests can be used in the evaluation of hidden surface corrosion and serve as a meaningful tool to provide quite an accurate warning for subsequent inspection.
引用
收藏
页码:39 / 50
页数:12
相关论文
共 50 条
  • [31] Structural identification, damage identification and structural health monitoring
    Alampalli, Sreenivas
    Ettouney, Mohammed
    NONDESTRUCTIVE CHARACTERIZATION FOR COMPOSITE MATERIALS, AEROSPACE ENGINEERING, CIVIL INFRASTRUCTURE, AND HOMELAND SECURITY 2007, 2007, 6531
  • [32] Structural Damage Detection and Health Monitoring
    Song, Gangbing
    Ho, Siu Chun Michael
    Kong, Qingzhao
    APPLIED SCIENCES-BASEL, 2019, 9 (19):
  • [33] A GALVANIC SOLID-STATE SENSOR FOR MONITORING OZONE AND NITROGEN-DIOXIDE
    SUZUKI, S
    NAGASHIMA, K
    ANALYTICA CHIMICA ACTA, 1982, 144 (DEC) : 261 - 266
  • [34] Sensor Networks for Structural Health Monitoring
    Mustapha, Samir
    Ng, Ching-Tai
    Lu, Ye
    Malinowski, Pawel
    JOURNAL OF SENSORS, 2020, 2020
  • [35] Sensor technology for structural integrity monitoring
    Jones, R
    Chiu, WK
    Pitt, S
    THIRD INTERNATIONAL CONFERENCE ON INTELLIGENT MATERIALS - THIRD EUROPEAN CONFERENCE ON SMART STRUCTURES AND MATERIALS, 1996, 2779 : 124 - 129
  • [36] Embeddable sensor mote for structural monitoring
    Fonda, James W.
    Watkins, Steve E.
    Jagannathan, S.
    Zawodniok, Maciej
    SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2008, PTS 1 AND 2, 2008, 6932
  • [37] Sensor network for structural health monitoring
    Hedley, M
    Hoschke, N
    Johnson, M
    Lewis, C
    Murdoch, A
    Price, D
    Prokopenko, M
    Scott, A
    Wang, P
    Farmer, A
    PROCEEDINGS OF THE 2004 INTELLIGENT SENSORS, SENSOR NETWORKS & INFORMATION PROCESSING CONFERENCE, 2004, : 361 - 366
  • [38] Damage identification based on sensor optimal placement for structural health monitoring system of solid rocket motor
    Xu, Ting-Xue
    Chen, Hai-Jian
    Teng, Ke-Nan
    Lu, Hong-Yi
    Gu, Jun-Yuan
    Guti Huojian Jishu/Journal of Solid Rocket Technology, 2012, 35 (02): : 280 - 284
  • [39] Structural health monitoring and damage assessment using a novel time series analysis methodology with sensor clustering
    Gul, Mustafa
    Catbas, F. Necati
    JOURNAL OF SOUND AND VIBRATION, 2011, 330 (06) : 1196 - 1210
  • [40] Optimum sensor placement for structural damage detection
    Shi, ZY
    Law, SS
    Zhang, LM
    JOURNAL OF ENGINEERING MECHANICS, 2000, 126 (11) : 1173 - 1179