J
Jayantha Ananda Epaarachchi
Researcher at University of Southern Queensland
Publications - 132
Citations - 1366
Jayantha Ananda Epaarachchi is an academic researcher from University of Southern Queensland. The author has contributed to research in topics: Shape-memory polymer & Structural health monitoring. The author has an hindex of 15, co-authored 119 publications receiving 949 citations. Previous affiliations of Jayantha Ananda Epaarachchi include University of Kuala Lumpur & Central Queensland University.
Papers
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Journal ArticleDOI
Use of FBG Sensors for SHM in Aerospace Structures
TL;DR: In this article, the use of the fiber Bragg grating (FBG) sensors for structural health monitoring (SHM) in aerospace fiber reinforced polymer (FRP) structures is discussed.
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Potentiality of utilising natural textile materials for engineering composites applications
Mohd Iqbal Misnon,Mohd Iqbal Misnon,Mainul Islam,Jayantha Ananda Epaarachchi,Kin-tak Lau,Kin-tak Lau +5 more
TL;DR: In this article, an overview of utilising natural textile materials as reinforcements for engineering composites applications is given, and the definition and types of textile materials are addressed to provide readers a thoughtful view on the role of these materials in a structural composite system.
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Light activated shape memory polymers and composites: A review
TL;DR: A comprehensive review of the advances in experimental and numerical investigations on light activated shape memory polymers and composites is provided in this paper, where the stimulus light is considered as the optical radiation of any wavelength from 1 to 106 nm.
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Structural performance and photothermal recovery of carbon fibre reinforced shape memory polymer
H. M. C. M. Herath,Jayantha Ananda Epaarachchi,Mainul Islam,W. Al-Azzawi,Jinsong Leng,Jinsong Leng,Fenghua Zhang +6 more
TL;DR: In this paper, the shape memory epoxy composite (SMP) was used for a deployable solar panel array, intended for remote and localized activation, and the shape fixity and recovery ratios of the SMPC are 100% and 86% respectively.
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The development of a fatigue loading spectrum for small wind turbine blades
TL;DR: In this paper, a fatigue loading procedure for the blade of a small wind turbine using a combination of detailed short-term aeroelastic and wind measurements and averaged long-term wind data from the Australian Bureau of Meteorology is presented.