An active sound design (ASD) tuning device and a method thereof may include an ASD device that generates a virtual engine sound for each vehicle situation and a control device that outputs a composite sound by correcting and synthesizing the virtual engine sound and an internal sound measured for each vehicle situation based on a binaural vehicle impulse response (BVIR).

A noise data artificial intelligence learning method for identifying the source of problematic noise may include a noise data pre-conditioning method for identifying the source of problematic noise including: selecting a unit frame for the problematic noise among noises sampled with time; dividing the unit frame into N segments; analyzing frequency characteristic for each segment of the N segments and extracting a frequency component of each segment by applying Log Mel Filter; and outputting a feature parameter as one representative frame by averaging information on the N segments, wherein an artificial intelligence learning by the feature parameter extracted according to a change in time by the noise data pre-conditioning method applies Bidirectional RNN.

A load calculator includes a coefficient storage, a replacement deriver, and an internal-load deriver. The storage stores a first coefficient, an internal load acting on a target point in a target member when a unit load acts on a concentrated load point in the target member along one of three orthogonal axes, and as a second coefficient, an internal load acting on the target point when a unit moment acts on the concentrated load point around one of the axes. The replacement deriver derives a replacement load and moment by replacing an external load acting on the target member with six force components acting on the concentrated load point. The internal load deriver derives an internal load acting on any target point with the first coefficient, the replacement load, the second coefficient, and the replacement moment when the external load acts on the target member.

An arithmetic model generation system includes a sensor information acquisition unit, a tire force calculator, and an arithmetic model update unit. The sensor information acquisition unit acquires acceleration of a tire. The tire force calculator includes an arithmetic model for calculating tire force F based on the acceleration, and calculates the tire force F by inputting the acceleration acquired by the sensor information acquisition unit. The arithmetic model update unit compares tire axial force measured by the tire and the tire force F calculated by the tire force calculator, and updates the arithmetic model.

A transportation vehicle may be equipped with electrical energy harvesting systems to harvest electrical energy for use. By way of example, in the transportation vehicle, a Venturi system may be used to receive an air flow and the speed of the air flow increase in a constricted area of the Venturi system, the air flow containing a large amount of kinetic energy. A plurality of electrical energy harvesting systems is disposed in the Venturi system and is configured to convert the kinetic energy contained in the accelerated air flow into electrical energy that can be used to power on-board electronics as well as one or more on-board batteries in the transportation vehicle, as the transportation vehicle is in motion.

Provided are a turbulence field update method, apparatus, and device, and a computer-readable storage medium. The method includes: obtaining sample turbulence data; performing model training by use of the sample turbulence data to obtain a reinforcement learning turbulence model; calculating initial turbulence data of a turbulence field by use of a Reynolds Averaged Navior-Stokes (RANS) equation; processing the initial turbulence data by use of the reinforcement learning turbulence model to obtain a predicted Reynolds stress; and performing calculation on the predicted Reynolds stress by use of the RANS equation to obtain updated turbulence data.

Disclosed is a robust topology optimization design method of a damping composite stiffened cylindrical shell box structure, comprising: constructing working load data, and obtaining circumferential target modal frequencies based on the working load data and the stiffened cylindrical shell box; laying constrained layer damping materials on the stiffened cylindrical shell box to construct a damping composite stiffened cylindrical shell box; constructing interval parameters based on the damping composite stiffened cylindrical shell box, and obtaining modal loss factor based on the interval parameters; constructing an objective function based on the modal loss factors, constructing design variables and constraint conditions based on the damping composite stiffened cylindrical shell box, integrating the objective function, design variables and constraint conditions to form an interval robust topology optimization model; updating the design variables based on the interval robust topology optimization model, and obtaining an optimized topology configuration of the damping composite stiffened cylindrical shell box.

The present disclosure provides a design method for an active disturbance rejection roll controller of a vehicle under disturbance of complex sea conditions, including: step 1: establishing a vehicle roll attitude control model; step 2: designing an active disturbance rejection controller (ADRC) on the basis of the control model in step 1 and a pole placement method; and step 3: performing an active disturbance rejection roll control by using the active disturbance rejection controller in step 2. The present disclosure solves the problem of a stable control of the vehicle under the disturbance of the complex sea conditions.

A static matrix model in a viscoelastic body is generated for each environmental temperature condition. A generalized Maxwell model is generated for each environmental temperature condition using a matrix of the static matrix model. A spring coefficient and a damper viscosity coefficient of a material test piece is identified as a function of a strain rate norm based on a measurement result of the material test piece using a temperature-time conversion rule. An average strain rate of a part is identified as a function of a displacement rate vector. A dynamic spring coefficient and a damper viscosity coefficient of the part are identified as a function of a component of the displacement rate vector. A generalized Maxwell model for analysis is generated by applying the dynamic spring coefficient and the damper viscosity coefficient identified as the function of the component of the displacement rate vector to the generalized Maxwell model.

A method and system perform quantum-assisted finite elements-based, design optimization of an object to minimize a shape-specific quantity by manipulating the shape of the object using a processing unit, for example, a Quantum Processing Unit (QPU). As a result, a shape-specific quantity, such as an approximation of sound pressure at a specific position around an object, can be minimized by manipulating the object shape using the QPU.