Damage Detection and Localization from Dense Network of Strain Sensors
المؤلفون المشاركون
Laflamme, Simon
Cao, Liang
Chatzi, Eleni
Ubertini, Filippo
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-12-28
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
Structural health monitoring of large systems is a complex engineering task due to important practical issues.
When dealing with large structures, damage diagnosis, localization, and prognosis necessitate a large number of sensors, which is a nontrivial task due to the lack of scalability of traditional sensing technologies.
In order to address this challenge, the authors have recently proposed a novel sensing solution consisting of a low-cost soft elastomeric capacitor that transduces surface strains into measurable changes in capacitance.
This paper demonstrates the potential of this technology for damage detection, localization, and prognosis when utilized in dense network configurations over large surfaces.
A wind turbine blade is adopted as a case study, and numerical simulations demonstrate the effectiveness of a data-driven algorithm relying on distributed strain data in evidencing the presence and location of damage, and sequentially ranking its severity.
Numerical results further show that the soft elastomeric capacitor may outperform traditional strain sensors in damage identification as it provides additive strain measurements without any preferential direction.
Finally, simulation with reconstruction of measurements from missing or malfunctioning sensors using the concepts of virtual sensors and Kriging demonstrates the robustness of the proposed condition assessment methodology for sparser or malfunctioning grids.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Laflamme, Simon& Cao, Liang& Chatzi, Eleni& Ubertini, Filippo. 2015. Damage Detection and Localization from Dense Network of Strain Sensors. Shock and Vibration،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1118891
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Laflamme, Simon…[et al.]. Damage Detection and Localization from Dense Network of Strain Sensors. Shock and Vibration No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1118891
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Laflamme, Simon& Cao, Liang& Chatzi, Eleni& Ubertini, Filippo. Damage Detection and Localization from Dense Network of Strain Sensors. Shock and Vibration. 2015. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1118891
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1118891
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر