18 research outputs found

    Katmanlı Kompozit Silindirik Panellerin Çarpma Yükü Etkisi Altındaki Davranışı

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    Konferans Bildirisi -- Teorik ve Uygulamalı Mekanik Türk Milli Komitesi, 2010Conference Paper -- Theoretical and Applied Mechanical Turkish National Committee, 2010Çarpma etkisi altındaki katmanlı silindirik kabukların dinamik davranışı araştırıldı. Cam/epoksi katmanlı kompozitlerin çarpma testleri gerçekleştirildi. Çarpma sırasında eksenel ve çevresel gerinimler ölçüldü. Katmanlı kabuğun çarpma testi aynı zamanda sonlu elemanlar yöntemi kullanılarak modellendi. Bu amaçla ANSYS sonlu elemanlar yazılımı kullanıldı. Sayısal ve deneysel sonuçlar karşılaştırıldı ve bir uyum görüldü. Çarpma yükü sonucunda yüksek gerilmeler meydana geldi.The dynamic behavior o f the laminated cylindrical shells are investigated under an impact load. The impact tests are performed on the glass/epoxy laminated composites. The strain in the axial and circumferential directions are measured during the impact. The impact test o f the laminated shell is also modeled using the finite element method. ANSYS finite element software is used for this purpose. The numerical and experimental results are compared and found in an agreement. The high stresses are occured as a result o f impact load

    Prediction of fatigue response of composite structures by monitoring the strain energy release rate with embedded fiber Bragg gratings

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    Composite materials are becoming increasingly more valuable due to their high specific strength and stiffness. Currently, most components are operated for a number of service cycles and then replaced regardless of their actual condition. Embedded fiber Bragg gratings are under investigation for monitoring these components in real time and estimating their remaining life. This article presents research conducted on a novel technique for prediction of the remaining life of composites under fatigue loading using embedded fiber Bragg grating sensors. A prediction is made of the remaining life at every cycle based on data collected from the sensors and the previous loading history
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