A method of estimating future aging of a transformer includes generating probabilistic models of factors that affect effective aging of the transformer, generating probabilistic profiles of the factors that affect effective aging of the transformer based on the probabilistic models, generating expected hot spot profiles from the probabilistic profiles, simulating a plurality of aging scenarios of the transformer based on the expected hot spot profiles and ambient temperature profiles, and estimating future aging of the transformer from the plurality of aging scenarios.

A reliability evaluation method and system for a microgrid inverter IGBT based on segmented long short-term memory (LSTM) is disclosed, including steps as follows. An electrothermal coupling model is constructed to obtain real-time junction temperature data. The original LSTM algorithm is improved to obtain a segmented LSTM prediction network for the aging characteristics of the IGBT. The monitoring value of the IGBT aging parameter is used to perform segmented LSTM prediction to obtain the predicted aging process, and the threshold values of different aging stages are categorized. An aging correction is performed on the aging parameter of the electrothermal coupling model to ensure the accuracy of the junction temperature data. Rainflow-counting algorithm is used to calculate real-time thermal stress load distribution of the IGBT. The fatigue damage theory and the Lesit life prediction model are combined to calculate the real-time cumulative damage and predicted life of the IGBT.

The present invention discloses a multiaxial creep-fatigue prediction method based on ABAQUS, which comprises: S1: establishing an ABAQUS finite element model, and defining the viscoplastic constitutive equation of the material to be tested by means of the user subroutine UMAT; S2: determining the model parameters required by the viscoplastic constitutive equation; S3: establishing the fatigue damage calculation model and creep damage calculation model of the multiaxial stress-strain state of the material to be tested; S4: establishing an ABAQUS finite element model under the multiaxial stress-strain state, and calculating the stress-strain tensor of each cycle based on the defined viscoplastic constitutive equation and the model parameters; S5: calculating the equivalent stress and equivalent plastic strain by means of the user subroutine USDFLD, and superimposing the fatigue damage and creep damage of each cycle according to the linear cumulative damage criterion to obtain the crack initiation life of the material to be tested based on the fatigue damage calculation model and creep damage calculation model in combination with the stress-strain tensor.

A method of forming a semiconductor device includes: providing a first circuit having a plurality of circuit cells; analyzing a loading capacitance on a first pin cell connecting a first circuit cell and a second circuit cell in the plurality of circuit cells to determine if the loading capacitance of the first pin cell is larger than a first predetermined capacitance; replacing the first pin cell by a second pin cell for generating a second circuit when the loading capacitance is larger than the first predetermined capacitances, wherein the second pin cell is different from the first pin cell; and generating the semiconductor device according to the second circuit.

A programmable integrated circuit includes configuration circuitry configured to receive configurations of a user design for the programmable integrated circuit. Each of the configurations implements the user design using at least some unique circuitry in the programmable integrated circuit relative to the other ones of the configurations. The configuration circuitry is further configured to implement the user design in a first one of the configurations. The configuration circuitry is further configured to move the user design from the first one of the configurations to a second one of the configurations to cause effects of aging processes in circuits in the programmable integrated circuit that are not aged by the first one of the configurations.

A method comprising using at least one hardware processor for: running a Monte Carlo simulation of possible integrated circuit (IC) process variations of each of a plurality of IC cell types, wherein each of the plurality of IC cell types is defined by multiple specific transistors and multiple specific interconnects; based on the results of the Monte Carlo simulation, creating a library of IC cell types and their corresponding behavioral values for each of the possible IC process variations, and storing the library in a non-transient memory; receiving an IC design embodied as a digital file; correlating the received IC design with the library; and predicting a frequency distribution and a power distribution of ICs manufactured according to the IC design.

The invention relates to a method for determining design parameters (41) of a rotor blade (3, 4, 5) of a machine interacting with a fluid, in particular of a wind turbine, in which quality parameters (39) of the rotor blade are determined non-destructively, in particular by way of measurements, in which target parameters of the rotor blade (40) are determined, and in which the determined target parameters are predefined in an optimization process (33), wherein the design parameters are varied in the optimization process in such a way that the target parameters are achieved, taking the determined quality parameters into consideration. In this way, it is possible to determine the parameters of a present rotor blade which can be non-destructively determined, so as to determine the parameters that cannot be determined non-destructively, or that are difficult to determine, by way of a computer model.

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using generative design processes. A method includes performing numerical simulation of a modeled object in accordance with a current version of the three dimensional shape and the one or more in-use load cases; finding a maximized stress or strain element, for each in-use load cases; determining an expected number of loading cycles for each of the one or more in-use load cases for the physical structure using the maximized stress or strain element and data relating fatigue strength to loading cycles; redefining a fatigue safety factor inequality constraint for the modeled object; computing shape change velocities for an implicit surface in a level-set representation of the three dimensional shape in accordance with at least the fatigue safety factor inequality constraint; and updating the level-set representation using the shape change velocities.

A degradation estimation device includes a storage device and an execution device. The storage device is configured to store mapping data that defines a map that outputs an output variable indicating a degree of degradation of a seal member when an input variable is input. The map includes a thermal history variable and a load history variable as the input variable. The thermal history variable is a variable indicating a period during which the seal member has been exposed to a temperature within a predetermined temperature range. The load history variable is a variable indicating the number of times a load has acted on the seal member. The execution device is configured to perform an acquisition process of acquiring the input variable and a calculation process of outputting a value of the output variable by inputting the input variable acquired in the acquisition process to the map.

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using generative design processes. A method includes obtaining one or more design criteria for a modeled object including at least one design constraint; calculating a series of target values for the at least one design constraint, from an initial target value to a final target value; iteratively modifying a generatively designed three dimensional shape of the modeled object in the design space, wherein the iteratively modifying comprises performing numerical simulation of the modeled object, computing shape change velocities for an implicit surface in a level-set representation of the three dimensional shape in accordance with respective ones of target values in the series of target values, starting from the initial target value and ending with the final target value, and updating the level-set representation using the shape change velocities.