![]() This process of splitting can be automatized by using subdivision schemes. They mostly do so by splitting the input domain into a finite set of smaller and simpler elements on which the simulation can be run fast and efficiently. the weather or structural mechanics, solve complex problems on a two-dimensional domain. Various computer simulations regarding, e.g. ![]() A neat extension to material designing is also discussed with potentials to extend the work into other related fi elds. This coupling between GPR and membrane models is achieved through a systematic and seamless nite element integration using C++ and Python environments. In the macroscale, textiles are modelled as nonlinear orthotropic membranes for which the stresses and material constitutive relations are predicted by the trained GPR model. We use GPR to learn a model using a 5-fold cross-validation technique by optimising the log marginal likelihood. Respecting the principle of separation of scales, we construct response databases by applying different homogenised strain states to the RVEs and recording the respective incremental volume-averaged energy values. This nite deformable rod is profi cient in handling large deformations, rod-to-rod contacts, arbitrary cross-section de finitions and follower loads. In the microscale, representative volume elements (RVEs) are modelled using nite deformable isogeometric spatial rods and deformation is homogenised using periodic boundary conditions. In the proposed data-driven nonlinear computational homogenisation technique, we effi ciently integrate the microscale and macroscale using Gaussian Process Regression (GPR) statistical learning technique. Moreover, we discuss the avenues that will open in many potential fields with regard to material modelling, structural engineering and textile industries. We show how the integration of statistical learning techniques mitigates the weaknesses of conventional multiscale modelling. We propose a data-driven nonlinear multiscale modelling technique to analyse the complex mechanical behaviour of plain-woven and weft-knitted fabrics with a neat extension to fabric material designing. These demerits include higher computational costs, rigid numerical models, ineffcient algorithmic computations and inability to incorporate geometric nonlinearities. ![]() ![]() But there is a plethora of literature discussing the demerits of such conventional multiscale modelling. Multiscale modelling is the tool of choice for homogenising periodic structures and has been used extensively to model and analyse the mechanical behaviour of woven and knitted fabrics. In this work, we consider two branches of technical fabrics, namely plain-woven and weft-knitted. Digital interlooping and digital interlacing technology in additive manufacturing greatly advanced the manufacturing processes of textiles. Since the inception of computerised numerical control for three-dimensional textile-manufacturing machines, technical textiles paved their way to numerous applications, certainly not limited to aerospace, biomedical, civil engineering, defence, marine and medical industries. These tailorable properties include stretch forming and deep drawing formability that exhibits excellent stretchability and drapeability properties of textiles and textile composites. No additional subdivisions will be applied if the number of subdivisions in X/Z already exceeds the budget.Light-weight fabric membranes have gained increasing popularity over the past years due to their tailorable structural and material performances. Learn more in the Path expressions and filtering sectionĪdjusts the subdivision number automatically so that hard angles are infinitely sharp – they remain perfectly sharp regardless of the scaleĪpplies additional subdivisions automatically, in increments, so the mesh fits this triangle budget value. Sets the Item name and possibly its containing groups. The width, height and depth of the box, expressed as a Vector3 The local position of the origin of the mesh – i.e. The number of subdivisions to be applied in the Z-axis The number of subdivisions to be applied in the Y-axis The number of subdivisions to be applied in the X-axis The arrangement of the axis in the reference Basis The Scene holding the reference Basis to be used
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