A computer-readable non-transitory storage medium stores a multilayer fluid analysis program for analyzing a multilayer fluid as 2.5 dimensions in which each layer is divided into elements and each of the elements has information about a layer thickness in a finite element model for the multilayer fluid. The multilayer fluid analysis program allowing a computer to function as: a layer thickness calculation process for calculating the layer thickness of the elements from a simultaneous equation indicating a relationship between stress in a normal direction and a fluid viscosity in the elements without considering a fluid flow in a thickness direction of the layer thickness under a condition that stresses in the normal direction and a tangential direction are balanced at an interface of respective layers and a flow velocity at the interface is continuous; and a display process for displaying a calculation result.

A method for producing an experimental output satisfying an objective includes conducting an experimental execution process including applying a selection criterion to select an approach to determining a set of parameters for a set of experiments, and determining a first set of parameters for a first experiment according to the selected approach based on one or more of (i) a predicted relationship between a set of parameters and a characteristic of a corresponding experimental output, (ii) the measured characteristic of a second experimental output from a second experiment executed according to a second set of parameters, (iii) the objective, and (iv) a parameter selection rule. Conducting an experimental execution process includes controlling execution of the first set of experiments according to the first set of parameters, where execution of each first experiment includes conducting the experiment according to the first set of parameters to produce a first experimental output; and measuring the characteristic of the first experimental output. The method includes determining whether the objective is satisfied by the experimental execution process, and, when the objective is not satisfied by the experimental execution process, conducting a subsequent experimental execution process.

The present invention discloses a system and method for simulating radio frequency (RF) signal propagation through a plurality of mediums using a plurality of configurable digital representations of building information model in two dimensional (2D) or augmented reality (AR) or virtual reality (VR) environments. The system comprising: a client interface, a processor and a memory. The processor comprising a building information model (BIM) generation unit, RF equipment conversion unit and a RF propagation prediction unit. The BIM generation unit is configured to translate 2D graphics into BIM data-sets, by reference to administrator input, to act as one or more parameters to control a generation of 2D or AR or VR environments. The RF equipment conversion unit is configured to transform adjunct data related to a physical configuration of one or more RF equipment into data models. The RF propagation prediction unit is configured to utilize the one or more parameters and the transformed data related to the physical configuration of the one or more RF equipment for simulating the RF signal propagation pattern predictions through the plurality of mediums.

The present disclosure discloses a method for calculating the service life of a material under the action of a thermal shock load. The method includes steps of obtaining test results at different thermal shock temperatures and a thermal shock cycle number according to a thermal shock test, and calculating a temperature rise rate to temperature drop rate ratio R.sub.v; calculating a corresponding stress intensity factor ΔK according to a crack length a measured in the test; calculating a thermal stress σ at the notch and a notch stress concentration coefficient k.sub.t of the test specimen; calculating a stress intensity factor threshold ΔK.sub.th according to the crack length a measured in the test; and substituting the obtained the stress intensity factor ΔK, stress intensity factor threshold ΔK.sub.th and temperature rise rate to temperature drop rate ratio R.sub.v into a thermal fatigue crack growth model.

A non-transitory computer-readable storage medium storing a program that causes a processor to execute a process, the process includes reading a plurality of first solutions of an optimization problem represented by a combination of values of a plurality of state variables, converting the plurality of first solutions into a plurality of second solutions by executing principal component analysis on the plurality of first solutions, determining a region that indicates a spread of the plurality of second solutions in a solution space, generating a third solution located at a second position outside the region and away from a first position within the region by a first distance, converting the third solution into a fourth solution that consists of the plurality of state variables, and searching for a solution of the optimization problem by using the fourth solution as an initial value of the plurality of state variables.

A method and a device for analyzing a consumption of resources in a computing infrastructure to predict a resource consumption anomaly on a computing device. The method includes determining a plurality of resource consumption modeling functions; determining a correlation between the resource consumption modeling functions; measuring a resource consumption by a measurement of a consumption value of a first resource; and predicting the resource consumption of the computing infrastructure. The predicting includes a calculation of a value of future consumption of a resource to be predicted from the consumption value of the first resource and from a previously calculated correlation between modeling functions.

A method includes: partitioning learning data containing objective variables and explanatory variables into a plurality of subsets of data; executing regularization processing on first data in each of the partitioned subsets, and extracting a first element equal to zero; extracting, as a candidate, each model where an error ratio between first multiple regression and second multiple regression is equal to or more than a predetermined value, the first multiple regression being a result of multiple regression on second data which is test data in each of the partitioned subsets and is for use to calculate the error ratio of the learning data, the second multiple regression being a result of multiple regression on third data obtained by excluding the first element from the second data; and outputting a model where zero is substituted for an element that takes zero a predetermined or larger number of times in the candidate.

A volumetric enclosure or enclosures and/or a cellular structure pole foundation is provided. The volumetric enclosure/s or cellular structure pole foundation may employ several embodiments: (1) a single or a plurality of volumetric enclosures at the vertical center of the foundation below the foundation's pole cavity; (2) a single or a plurality of volumetric enclosures at the vertical center of the foundation below the foundation's pole cavity and a cellular structure within the foundation walls and base; (3) a cellular structure throughout the entire body of the foundation; (4) a cellular structure within the foundation walls; (5) the above embodiments with fill material consisting of gas or fluid or solids retained inside the foundation walls; and (6) the above embodiments with solid fill material that can reach the foundation core through the pole cavity.

A computer-implemented method for designing a 3D modeled object via user-interaction. The method includes obtaining the 3D modeled object and a machine-learnt decoder. The machine-learnt decoder is a differentiable function taking values in a latent space and outputting values in a 3D modeled object space. The method further includes defining a deformation constraint for a part of the 3D modeled object. The method further comprises determining an optimal vector. The optimal vector minimizes an energy. The energy explores latent vectors. The energy comprises a term which penalizes, for each explored latent vector, non-respect of the deformation constraint by the result of applying the decoder to the explored latent vector. The method further includes applying the decoder to the optimal latent vector. This constitutes an improved method for designing a 3D modeled object via user-interaction.

A method and apparatus for designing and manufacturing a component in a computer-aided design and manufacturing environment is disclosed. A method includes obtaining a geometric model of a component from a geometric model database, and determining at least one orientation parameter value associated with the geometric model of the component. The at least one orientation parameter value is associated with an orientation parameter that defines orientation of the component during additive manufacturing of the component. The method includes performing volumetric analysis of the component based on the at least one orientation parameter value associated with the component using the geometric model of the component. The method also includes computing one or more overheating areas in the component corresponding to the at least one orientation parameter value based on the volumetric analysis of the geometric model of the component, and outputting a multi-dimensional visual representation of the geometric model of the component Indicating one or more overheating areas in the component.