A bridge structure dynamic response of a bridge structure under the action of heavy duty vehicle load is obtained through sensors arranged on the bridge structure; according to vertical vibration acceleration a.sub.o and vertical deflection y.sub.o of the bridge at a center of gravity o of the heavy duty vehicle and speed of the heavy duty vehicle U.sub.vehicle, a response of a table top of a vibration table is reconstructed, and interaction force of the vehicle-bridge coupling model is obtained; a nonlinear finite element model of the bridge structure is established, and the vehicle-bridge interaction force is taken as external force, and the dynamic response of the bridge structure is taken as a structural response, and modification of the finite element model of the bridge structure is completed through a nonlinear parameter identification method. The invention is mainly used for updating a bridge model.

An information processing system includes an objective data acquisition unit and a numerical analysis processing unit (or structure inference unit). The objective data acquisition unit acquires data of the object of numerical analysis (or a design simulation of a construction) expressed as a mesh shape. The numerical analysis processing unit (or structure inference unit) uses a machine learning model obtained by performing machine learning on the result of numerical analysis of physical properties (or a design simulation of a construction) in units of relationships between two adjacent nodes in graph data corresponding to a mesh shape to acquire an inference result inferring a result of numerical analysis (or a result of a design simulation of a construction) for the object of numerical analysis (or a design simulation of a construction).

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.

The present approach automatically generates an optimized building structure design given a set of building design parameters including a specified interior layout. The generated building structure design determines floor plate sizing, beam sizing, column sizing, any needed lateral system, and connectors between the determined building element, which are then displayed to the building structure designer for review and which facilitates customization as desired by the building structure designer. Some or all of this process can then be repeated when building design parameters are changed thereby facilitating automated and iterative building structure design as differing design parameters and resulting optimized building structure designs are considered.

In an example, a method is described. The method comprises generating object model data representative of a design of a foot support to be produced for a subject according to the object model data. The design of the foot support comprises: a support portion; and an extension portion extending from the support portion. A type of the extension portion is based on a condition of the subject's foot and the extension portion is personalized to the subject based on at least one measurement of the subject's foot.

A design method of a metal mask, a manufacturing method of the metal mask and a computer-readable storage medium are provided. The design method of a metal mask includes: calculating amounts of deformations of the metal mask in two directions perpendicular to each other based on a stretching force of the metal mask in use and deformation properties of the metal mask in the two directions; and compensating the deformations of the metal mask in the two directions by compensation amounts for the deformations, which are identical and opposite to the amounts of the deformations of the metal mask in the two directions, respectively.

A computer-implemented method includes receiving, in computer memory, a first test data set that comprises results of a real-world test of a material, where the first test data set comprises a plurality of test data points. The method further includes identifying one or more critical points among the test data points in the first test data set and processing the first test data set with a computer processor to produce a second test data set with differing (e.g., fewer) test data points than the first test data set, wherein the second test data set includes all the test data points that were identified as critical points in the first test data set and at least some other data points.

A method for predicting a specific energy of a cutter head of a tunnel boring machine includes obtaining a parameter of the tunnel boring machine to be measured configured to influence the specific energy of the cutter head to be measured, and inputting the obtained parameter of the tunnel boring machine to be measured into a model for predicting the specific energy of an apparatus to obtain a total predicted specific energy value of the cutter head and a proportion of each component of the total predicted specific energy value. The method comprehensively considers various influence factors, and outputs a proportion and a change of each component in the specific energy of the cutter head along with the construction process, thereby providing a foundation for optimal allocation of the specific energy of the cutter head of the tunnel boring machine.

One example method of operation may include creating a force approximation of a number of nodes in a defined space at an initial time (t0), the force approximation being based on a data realization simulation model of an n-body simulation, where n is an integer greater than one. The method may also include determining initial displacement changes of one or more of the nodes within the defined space has occurred in the force approximation, summing the initial displacement changes of the one or more of the nodes to create a summed total displacement, creating an initial displacement threshold (Td) based on the summed total displacement. At a later time (t1), determining additional displacement changes of one or more of the nodes have occurred, summing the additional displacement changes of the one or more of the nodes to create a new summed total displacement, comparing the new summed total displacement to the summed total displacement, and determining whether to create a new force approximation based on the comparison of the new summed total displacement to the summed total displacement.

Disclosed is a zero Poisson's ratio structure including a central pillar; at least two branched connectors extending radially from a lower end of the central pillar, wherein each of the branched connectors includes: a first segmental portion extending inclinedly upwardly or downwardly from the central pillar; and a second segmental portion extending inclinedly downwardly or upwardly from a distal point of the first segmental portion, wherein the extension directions of the first and second segmental portions are opposite to each other; and each leg extending perpendicularly downwardly from a distal point of each of the second segmental portions, wherein due to a force pressing the central pillar, each of an angle between the central pillar and the first segmental portion, an angle between the first segmental portion and the second segmental portion, and an angle between the second segmental portion and the leg is variable.