A layered-composite-member shape optimization analysis method includes: setting, as a design space, an optimization target part of a structural body model of an automotive body; generating a layered block model in the set design space, the layered block model including layers, each layer being a three-dimensional element and having material properties different from each other; connecting the generated layered block model to the part of the structural body model of the automotive body; and inputting an analysis condition, performing optimization analysis on the layered block model as an optimization analysis target, and determining an optimum shape of the layered block model.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for simulating a concrete mixture. One of the methods includes obtaining an optical characterization of physical particles, generating a multispherical approximation of the physical particles, the multispherical approximation having reduced dimensionality compared to the optical characterization, simulating an aggregate mixture by applying the multispherical approximation of the particles to a physics simulator to obtain a predicted performance of the proposed aggregate mixture, selectively altering the aggregate mixture based on a comparison with performance metrics and simulating the altered aggregate mixture until the predicted performance satisfies the performance metrics to obtain a final aggregate mixture, and outputting the final aggregate mixture

A computing device includes: a tomographic image acquisition unit that acquires a plurality of tomographic images representing shapes of reinforcing fibers and shapes of resin in a plurality of cross sections obtained when an article containing the reinforcing fibers and the resin is divided in parallel; and a computing unit that calculates a rigidity parameter of each of a plurality of small regions obtained by dividing the article, based on the plurality of acquired tomographic images.

One or more storage devices store a first machine learning model and a second machine learning model. The one or more processors generate each low-dimensional descriptor including the predetermined number of elements for multiple materials, and predict each characteristic value of the multiple materials from the low-dimensional descriptor. One or more processors select a part of materials from multiple materials based on the characteristic value, and generate a high-dimensional descriptor having the number of elements larger than the predetermined number. One or more processors predict each characteristic value of the part of the materials from the high-dimensional descriptor using the second machine learning model.

A thermal analysis method for a ceramic matrix composite (CMC) turbine vane considering a micro-woven structure and a change of direction of fiber bundles: obtaining geometric characteristics of the fiber bundles of the internal woven structure of the CMC; establishing a micro-model of warp yarns and weft yarns of the woven structure and a CMC matrix; constructing a woven structural CMC turbine vane model with a micro-structure periodic width in a vane height direction; assigning an anisotropic thermal conductivity matrix varying with a vane profile; performing meshing; performing finite element calculation of a temperature field; and obtaining calculation results of the temperature field of the woven structural CMC turbine vane model, comparing the calculation results with calculation results based on a homogenization thermal analysis method for an equivalent thermal conductivity for analysis, and extracting and analyzing fluctuation characteristics of the temperature field of the woven structural CMC turbine vane.

Systems, apparatuses and methods provides for technology that generates a plurality of discrete and finite elements associated with a component, where a number of the plurality of discrete and finite elements corresponds to a size of an estimated process zone. The technology further identifies material input properties of the component, models crack propagation throughout the plurality of discrete and finite elements based on the material input properties and models a release response in the plurality of discrete and finite elements based on the material input properties.

A method for generating a quantitative representation of material wrinkles in a computer-aided design (CAD) model, performed by a data processing system includes receiving in a CAD model a definition of a shape of a part and a material to be applied to the part. One or more parameters relating to the material are received and one or more of a plurality of quantifiable methods for modeling wrinkles resulting from the combination of part shape and material properties are selected. An output file is provided in a predetermined format summarizing the quantified result.

Method for producing composite components having an undevelopable surface. To be able to maintain the tolerances when manufacturing especially large components in the case of composite components with undevelopable surfaces, it is proposed according to the invention to drape a cut-to-size blank on a molding tool and to determine the deviation of the cut-to-size blank edge from the setpoint cut-to-size edge. Then, on the basis of the deviation, a new cut-to-size blank edge is calculated, and a new cut-to-size blank is created and re-draped for examination purposes. The method is repeated until the deviations are below a tolerable threshold value. The method is furthermore carried out for each textile ply of the composite component.

A simulation apparatus predicts a behavior of a curable composition in a formation process in which the curable composition arranged on a shot region of a substrate and a mold are brought into contact with each other to form a film of the curable composition on the shot region. The apparatus includes a processor configured to obtain the behavior of the curable composition by simulation computation, and output data used to display a simulation image simulating the behavior obtained by the simulation computation. The simulation image includes information of an outer periphery of the shot region and information of an edge portion of the film, which are drawn in a mode that enables visual identification of a position of the edge portion of the film with respect to the outer periphery.

Systems and methods for semi-discrete modeling of delamination migration in composite laminate materials are disclosed. An example method includes receiving a specimen geometry and a specimen stacking sequence. The example method also includes creating a finite-element (FE) mesh that defines a composite laminate material by: generating, using a mesh generation tool, a plurality of plies shaped according to the specimen geometry, and connecting the plies together based on the stacking sequence by placing cohesive elements between each adjacent pair of plies. The example method also includes determining a predicted mechanical response of the composite laminate material by: generating a constitutive model corresponding to the composite laminate material based on the FE mesh, and inputting a strain value to the constitutive model to generate the predicted mechanical response.