To provide a simulation method in which a zooming analysis method is applied to a particle method to analyze displacement and stress.

An analysis model in which an object to be analyzed is divided by a first mesh is analyzed by using a finite element method or a particle method. A partial region of the analysis model is selected as a zooming region, the zooming region is divided by a second mesh, and a particle is disposed at each node of the second mesh. The particle at the node is displaced based on displacement by the analysis using the first mesh. A boundary condition of the zooming region is set based on a particle position at the node after the displacement. The particle is displaced by using the particle method under the boundary condition. Stress acting on the zooming region is obtained based on a particle position after the displacement.

An optimization analysis method of an adhesive position in an automotive body includes: imposing a predetermined vibration condition on an automotive body model, performing frequency response analysis, and obtaining a vibration mode generated in the automotive body model, and a deformation form in the vibration mode; determining a load condition to be imposed on the automotive body model; generating an optimization analysis model obtained by setting an adhesive candidate in the automotive body model; setting an optimization analysis condition used to perform optimization analysis by using the adhesive candidate set in the generated optimization analysis model; and imposing the load condition determined in the load condition determination step on the optimization analysis model, performing the optimization analysis, and obtaining the adhesive candidate that satisfies the optimization analysis condition, as an optimized adhesive portion where each parts assembly is adhesively bonded.

The present invention relates to an efficient design and optimization algorithm framework of multi-scale porous structures. Firstly, initialized parameters are input by the user to obtain an initial porous structure through the design module. Then, the structure and external physical conditions defined by the user are transmitted to the analysis module to conduct mechanical response analysis of the porous structure. Next, an objective function and constraint functions of the optimization module are defined according to application requirements, and gradient information obtained by the analysis module is input to drive the operation of the optimization module. Finally an optimal multi-scale porous structure is obtained. The present invention relies on a vectorization mode in computer programming, converts a loop problem into a memory storage problem, and benefits from the existing fast computer algorithms for solving a system of linear equations, thus accelerating the calculation process of the whole algorithm.

A processor may receive object data associated with a position and an orientation of a first object in an environment from IoT sensors. The processor may generate a digital twin simulation of the first object. In some embodiments, the digital twin simulation may include data associated with the relative positions and orientations of one or more other objects to the first object. The processor may calculate forces acting on the first object. The processor may identify whether the first object is in a state of instability.

A computer-implemented method for modelling variations of repeating parts of a component is disclosed herein. The method includes providing parameter sets for part configurations of a plurality of different of parts, wherein the parameters of each parameter set respectively define the part configuration of a part; selecting a selection of the part configurations; providing a part model for each part configuration of the selection, wherein the part model relates forces and displacements to locations of the respective part; and building an approximator, wherein the approximator is provided for interpolating the part models to approximate a part model of a part configuration that does not belong to the selection of the part configurations.

A method for predicting a strength of a structure modeled by an additive manufacturing method includes acquiring a material layering method including at least one of a scanning direction, a scanning pitch, a layering direction, and a layering pitch of a material, and estimating the strength of the structure by factoring in strength anisotropy attributable to the material layering method.

A method involving obtaining a resist deformation model for simulating a deformation process of a pattern in resist, the resist deformation model being a fluid dynamics model configured to simulate an intrafluid force acting on the resist, performing, using the resist deformation model, a computer simulation of the deformation process to obtain a deformation of the developed resist pattern for an input pattern to the resist deformation model, and producing electronic data representing the deformation of the developed resist pattern for the input pattern.

A vector field setting unit (102) sets a vector field for providing virtual force for reproducing, in a region in which a moving body moves, movement of the moving body in a certain direction, and a simulation unit (104) simulates the movement of the moving body in the region, based on a movement model to which a parameter for simulating the movement of the moving body is set and the vector field set by the vector field setting unit, whereby the movement of the moving body is appropriately simulated even when the movement of the moving body is unusual.

A shape change prediction method for a press formed part predicts a shape change of the press formed part over time after springback at a moment of a release from a press-forming die, and includes: a shape/residual stress immediately after the springback acquisition step of acquiring a shape and a residual stress of the press formed part immediately after the springback by a springback analysis of the press formed part; a residual stress relaxation/reduction setting step of setting a value of a residual stress relaxed and reduced from the acquired residual stress to all bent portions or a part of the bent portions in the press formed part immediately after the springback; and a shape analysis step of determining a shape in which moments of force are balanced for the press formed part in which the value of the residual stress relaxed and reduced in the bent portions is set.

An apparatus for predicting and/or reducing a deformation of an assembly brought about during production of a weld seam that connects a first component and a second component of the assembly includes a device that is configured to determine and/or provide a finite element (FE) model of the assembly where the FE model includes a set of FEs for the weld seam and a set of FEs for the first component and the second component. The device is further configured to induce a spatial contraction of the set of FEs for the weld seam, determine an effect of the spatial contraction on the set of FEs for the first component and/or the second component, and predict a spatial deformation of the first component and/or of the second component on a basis of the effect on the set of FEs for the first component and/or the second component.