Browsing by Author "Mallikarachchi, Chinthaka"
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- item: Article-Full-textEffects of tow arrangements on the homogenized response of carbon fiber woven composites(Elsevier, 2022) Gowrikanthan, Nishangani; Jayasekara, Milindu; Mallikarachchi, Chinthaka; Herath, SumuduA set of micro-mechanical analyses is carried out to investigate the sensitivity of the homogenized response of two-ply carbon fiber woven composites on relative positioning of tow arrangements. In this paper, first, we present a convergence study to validate the applicability of the characteristic unit cell to capture the macroscale mechanical response of the composite. The study showcases the capacity of our models to capture the macroscale mechanical properties at different microscopic resolutions of the macroscale. The effects from phase different tow arrangements are then analyzed to quantify the mechanical response variability at the macroscale. Different tow arrangements considered in this work naturally stems from the relative inter-ply sliding at the manufacturing stage of woven composites. We consider several tow arrangements that can be interpreted as intermediate configurations between the two extremes; fiber in-phase and out-of-phase. Tows are assembled and constrained systematically to resemble different tow arrangements for the subsequent multiscale modeling. Corresponding macroscopic ABD stiffness matrices are extracted using the principle of virtual work, whereby the unit cell deformation is homogenized using periodic boundary conditions. The obtained results not only quantify the variability in A and D sub-matrices of the ABD stiffness matrix, but also explain possible reasons for the observed deviations between experimental and numerical results.
- item: Conference-Full-textPoint Cloud-Based Analysis and Validation of As-Design versus As-Built Drawings(2022-08-23) Kohulan, S; Herath, HMST; Mallikarachchi, ChinthakaDesign to build variations are common in the construction field which can result in demolition or reworks and a waste of resources. It is important to detect these variations during their early stages to minimize the consequences. Total stations, leveling equipment and measuring tapes are the conventional tools used in detecting these variations which require huge manual work and time. Usual construction activities do not offer enough time for these sorts of checks which result in a search for methods that can be automated, and which can be operated with minimum human interventions. Point cloudbased analysis is one of such methods which can be efficiently used for such purposes. The data collection and analysis can be fully or partially automated and the time required for the entire activity will be a fraction of the time spent in conventional methods. Several commercial and open-source software offers a platform to work with point clouds, but it is hard to modify the functionalities of that software as per our needs. This research focuses on using MATLAB to process synthetic point cloud data with a user-friendly GUI to achieve the research aim.