A method for simulating the behavior of a system (20) composed of a subsystem (10), such as an aerial vehicle, in a physical environment (21) made of an incompressible fluid, comprising training a multilayer neural network (HNN) by means of a training set associating coordinates (x, y) in said physical environment (21) and respective values of a gradient of the current function (ψ) at said coordinates (x,y), and a loss function configured to minimize an error between a gradient (S.sub.ψ) of the output of said neural network and said gradient of the current function; using said neural network to predict a value of a current function (ψ) and a velocity field (u) by providing it with input coordinates.

Disclosed is a method for optimizing feature parameters of straight grooves of a wet friction element and relates to the technical field of heavy-duty vehicle transmission. By using the method, the feature parameters of the straight grooves of the wet friction element can be improved by optimization, and the thermoelastic stability of the wet friction element can be improved.

Embodiments of a variable system for simulating the operation of an autonomous system, such as an autonomous vehicle, are disclosed. A layered approach for defining variables can allow changing the specification of those variables under the rules of override and refinement, while leaving the software components that query those variables at runtime unaffected. The variable system can facilitate, among others, deterministic sampling of variables, simulation variations, noise injection, and realistic message timing. These applications can make the simulator more expressive and more powerful by virtue of being able to test the same scenario under many different conditions. As a result, more exhaustive testing can be performed without requiring user intervention and without having to change the individual software components of the simulator.

A wing model for static aeroelasticity wind tunnel test belongs to the technical field of aeroelasticity tests. In the wing model, the model steel joint and the spar frame are connected with the composite material skin. The piezometer wing ribs are arranged among the spar frame and the plurality of supporting wing ribs. The embedded piezometer tubes are arranged in the piezometer wing ribs, the lightweight filling foam is arranged among the spar frame and the plurality of supporting wing ribs. An outer surface of a frame segment formed by the lightweight filling foam, the plurality of supporting wing ribs, the piezometer wing ribs and the spar frame is covered with the composite material skin. The frame segment is assembled on the model steel joint to form the wing model for the static aeroelasticity wind tunnel test.

A computer-readable storage medium storing a multilayer fluid analysis program is provided for analyzing a multilayer fluid on a feed block type T-die as 2.5 dimensions in which each layer is divided into elements. The program causing a computer to execute: a layer thickness calculation process for calculating the layer thickness under a condition that stresses in a normal direction and a tangential direction equilibrate on an interface of each layer and a flow velocity on the interface is continuous, without considering a fluid flow in a thickness direction, considering a viscoelastic effect of a fluid to analyze an encapsulation phenomenon, and based on a shape of the feed block and a second normal stress difference of resin assuming that a layer thickness in a transverse direction fluctuates in a developmental state; and a display process of displaying a calculation result of the layer thickness calculation process.

A method of evaluating a vehicle body component design. The method includes: calculating one or more head injury criteria (HIC) ground values for one or more points of interest of a base body component design of a base vehicle; generating an HIC predictive model based on the one or more HIC ground values; obtaining one or more parameter values of one or more points of interest of a candidate body component design, the point(s) of interest of the candidate body component design corresponding to the point(s) of interest of the base body component design of the base vehicle; calculating one or more predicted HIC values for the candidate body component design, wherein the calculation of the predicted HIC value(s) includes inputting the parameter value(s) into the HIC predictive model to obtain the predicted HIC value(s); and evaluating the candidate body component design by inspecting the predicted HIC value(s).

A method and device for developing an automated digital cloning method to create an accurate, predictive and personalized virtual patient model enabling personalized precision mechanical ventilation care.

A method for vehicle following control based on the real-time calculation of dynamic safe following distance. A preset vehicle deceleration model with three preset behavior adjustment parameters is used to obtain the absolute braking distance models of the leading and following vehicles, then to further establish the dynamic safe following distance model for calculating the dynamic safe following distance between the following vehicle and the leading vehicle in real time. In the process of vehicle following operation, the current dynamic safe following distance is compared with the current actual following distance to determine whether to adjust the following behavior of the following vehicle and how to control the following vehicle to move in safety, efficiency and smoothness.

A simulation method of a vehicle Pass-By Noise (PBN), which method comprises the following steps: (i) providing a tyre model, a vehicle model and one or more sound absorbent material models as inputs to a calculation module; (ii) simulating, by means of the calculation model, a Pass-By noise (PBN) generation profile of one or more rolling tyres based upon the tyre model; (iii) identifying, by means of the calculation module, one or more noise paths at the vehicle body; and (iv) selecting a position and an absorbent material property of an absorbent material to be positioned at vehicle body in order to minimize Pass-By Noise.

A method for analyzing fuselage profile based on measurement data of an aircraft, including: acquiring point-cloud data of an aircraft via a laser scanner; selecting point-cloud data of a fuselage component from the point-cloud data of the aircraft; based on a weighted locally optimal projection (WLOP) operator and L.sub.1 median curve-skeleton concept of point cloud, extracting a medial axis from the point-cloud data of the fuselage component; uniformly sampling the medial axis into a plurality of skeleton points; extracting a discrete point set of a cross-section contour of the fuselage component; performing circle fitting on the discrete point set to obtain a fitted circle and parameters thereof; calculating a deformation displacement measurement indicator μ of the cross-section of the fuselage component to evaluate cross-section contour of the fuselage.