Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Purim Ladpli"'
Autor:
Mads A. Fremmelev, Purim Ladpli, Esben Orlowitz, Lars O. Bernhammer, Malcolm McGugan, Kim Branner
Publikováno v:
Data-Centric Engineering, Vol 3 (2022)
This work is concerned with damage detection in a commercial 52-meter wind turbine blade during fatigue testing. Different artificial damages are introduced in the blade in the form of laminate cracks. The lengths of the damages are increased manuall
Externí odkaz:
https://doaj.org/article/f9c3731d6c544fc19aa6443a585a46f4
Autor:
Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden, Robin S. Mills, Purim Ladpli, Timothy J. Rogers
Publikováno v:
Sensors, Vol 23, Iss 1, p 185 (2022)
Ultrasonic guided waves offer a convenient and practical approach to structural health monitoring and non-destructive evaluation. A key property of guided waves is the fully defined relationship between central frequency and propagation characteristi
Externí odkaz:
https://doaj.org/article/1f9d88a1366847e9a2d420a3dd8a2f55
Publikováno v:
Sensors, Vol 18, Iss 10, p 3260 (2018)
Smart structures mimic biological systems by using thousands of sensors serving as a nervous system analog. One approach to give structures this sensing ability is to develop a multifunctional sensor network. Previous work has demonstrated stretchabl
Externí odkaz:
https://doaj.org/article/841342ae58f440c188ee45bfe2064b0b
Autor:
Mads Anker Fremmelev, Purim Ladpli, Esben Orlowitz, Nikolaos Dervilis, Malcolm McGugan, Kim Branner
Publikováno v:
Structural Health Monitoring. :147592172311634
This work is concerned with a structural health monitoring campaign of a 52-m wind turbine blade. Multiple artificial damages are introduced in the blade sequentially, and fatigue testing is conducted with each damage in sequence. Progressive fatigue
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de5775e828ade2d4a60d9e3ba58a3bae
https://doi.org/10.1177/14759217231163471
https://doi.org/10.1177/14759217231163471
Publikováno v:
Journal of Power Sources. 414:517-529
This work proposes and analyzes a structurally-integrated lithium-ion battery concept. The multifunctional energy storage composite (MESC) structures developed here encapsulate lithium-ion battery materials inside high-strength carbon-fiber composite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d733921d361eb2967812c25dc69cc7cf
https://doi.org/10.1016/j.jpowsour.2018.12.051
https://doi.org/10.1016/j.jpowsour.2018.12.051
Publikováno v:
Journal of Power Sources. 384:342-354
This work presents the feasibility of monitoring state of charge (SoC) and state of health (SoH) of lithium-ion pouch batteries with acousto-ultrasonic guided waves. The guided waves are propagated and sensed using low-profile, built-in piezoelectric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3bde1563de43182b86bc47fa17d06b9
https://doi.org/10.1016/j.jpowsour.2018.02.056
https://doi.org/10.1016/j.jpowsour.2018.02.056
Publikováno v:
Structural Health Monitoring 2019.
This work developed and evaluated an acousto-ultrasonic system that measures battery state of charge and, in particular, its state of health using a built-in, low-profile piezoelectric transducer system. A diagnostic method was proposed that relates
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::662fd7019237180cca6461a5bcd0b423
https://doi.org/10.12783/shm2019/32215
https://doi.org/10.12783/shm2019/32215
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 18
Issue 10
Sensors, Vol 18, Iss 10, p 3260 (2018)
Sensors
Volume 18
Issue 10
Sensors, Vol 18, Iss 10, p 3260 (2018)
Smart structures mimic biological systems by using thousands of sensors serving as a nervous system analog. One approach to give structures this sensing ability is to develop a multifunctional sensor network. Previous work has demonstrated stretchabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::426b6e0cf7b032a6d5108d4c1d27fc2e
https://pubmed.ncbi.nlm.nih.gov/30274158
https://pubmed.ncbi.nlm.nih.gov/30274158
Publikováno v:
Journal of Sound and Vibration. 351:206-220
Accurate interpretation of in-situ piezoelectric sensor signals is a challenging task. This paper presents the development of a numerical compensation model based on physical insight to address the influence of structural loads on piezo-sensor signal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33a4f5b9b23e6ed0283685c3487f9f01
https://doi.org/10.1016/j.jsv.2015.04.019
https://doi.org/10.1016/j.jsv.2015.04.019