Browsing by Author "Weerasinghe, U"

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    Homogenization of ultra thin woven composite structures at high curvatures
    (IEEE, 2022-07) Weerasinghe, U; Herath, S; Mallikarachchi, C; Rathnayake, M; Adhikariwatte, V; Hemachandra, K
    Growing demand for ultra-thin woven composites has been identified in weight-sensitive applications, especially in space engineering applications such as self-deployable structures. They undergo extreme curvatures during folding and deployment process and hence understanding their mechanical behaviour is important for optimization of future structures. Literature on experimental studies unfolds that there is a considerable reduction in bending stiffness of these ultra-thin woven composites when subjected to curvatures. This paper presents a numerical investigation that incorporates inter-tow and inter-lamina interaction behaviour on the homogenized response of a two-ply plain woven carbon fibre composite. Two distinct models were used in the analysis with dry fibre approach and resin embedded geometry. The analysis is advanced further towards the non-linear regime to predict the response under higher curvatures. It is shown that the developed models are capable of capturing the reduction in flexural stiffness.
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    Ontology-based knowledge modelling for handling criminal law cases in Sri Lanka
    (Faculty of Information Technology, University of Moratuwa., 2021-12) Amarasena, K; Weerasinghe, U; Weththasinghe, D; Silva, T; Ganegoda, GU; Mahadewa, KT
    Law can be considered as one of the required fields, which controls the behaviour of people within the society to a greater extent. In most legal systems, constitutions, legislation, case laws etc., are documented in natural language. Lawyers, law students and other related parties who need to access these legal documents for a specific legal case encounter the difficulty of extracting only the relevant data from these documents. Systems to manage criminal cases and facilitate extracting crucial facts regarding past cases are rare in practice. On the other hand, some systems which focus on general document retrieval utilize traditional classification techniques to facilitate document retrieval. Such a system overlooked domain-specific attributes such as dynamic knowledge updates for knowledge retrieval. To address this deficiency, an ontology-based knowledge modelling system is proposed to automatically identify and extract the necessary information based on the legal cases provided.