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3 results about "Limit state function" patented technology

Time-varying reliability optimization design method and system for helical gear

The invention discloses a time-varying reliability optimization design method and system for a helical gear. The method comprises the following steps: establishing a gear reliability optimization design model which takes gear volume minimization as an optimization target and takes full-life-cycle time-varying reliability as a constraint; constructing a gear contact fatigue time-varying limit state function coupling the time-varying load spectrum and the material strength degradation model; constructing a time-varying reliability analysis module based on an agent model and an active learning strategy so as to evaluate the time-varying limit state function; and an optimization algorithm is adopted to solve the gear reliability optimization design model, the time-varying failure probability of the candidate scheme is evaluated by calling the time-varying reliability analysis module, the time-varying reliability constraint is processed according to the time-varying failure probability, and optimal gear design parameters meeting the constraint are output. According to the method, efficient cooperation of time-varying reliability high-precision evaluation and lightweight optimization design is realized, and the problem that a time-varying factor cannot be considered in optimization due to too high analysis cost in a traditional method is solved.
Owner:ZHEJIANG UNIV OF TECH

Mode importance analysis method under turbine blade fuzzy failure state

The embodiment of the invention discloses a mode importance analysis method for a turbine blade in a fuzzy failure state, which comprises the following steps of: constructing a creep-fatigue life reliability analysis model of the turbine blade in the fuzzy failure state, introducing a one-dimensional standard normal variable, and fusing fuzziness of the failure state into a limit state function to form a generalized limit state function; a Kriging model of a generalized limit state function corresponding to each mode is updated by adopting a sequence, repeated training of the Kriging model is avoided, the utilization rate of a training sample is improved, the system reliability and the component reliability are analyzed respectively, and then mode importance analysis under a turbine blade fuzzy failure state is completed in combination with a mode importance index system. According to the analysis result, the importance sequence of the fatigue life reliability of each part of the turbine blade in the fuzzy failure state can be explored, the characteristics of key parts of the turbine blade in the fuzzy failure state can be identified, and a scientific and reasonable basis is provided for structural optimization and fault detection of the turbine blade.
Owner:NORTHWESTERN POLYTECHNICAL UNIV +1

A time-varying reliability optimization design method and system of helical cylindrical gears

ActiveCN121744556BGear wheelCoupling
The application discloses a kind of oblique-tooth cylindrical gear time-varying reliability optimization design method and system, the method includes: the gear reliability optimization design model of minimum volume of gear body is established as optimization goal, and time-varying reliability in whole life cycle is constraint;Coupling time-varying load spectrum and material strength degradation model is constructed gear contact fatigue time-varying limit state function;Time-varying reliability analysis module based on proxy model and active learning strategy is constructed to evaluate time-varying limit state function;Optimization algorithm is used to solve the gear reliability optimization design model, the time-varying failure probability of candidate scheme is evaluated by calling the time-varying reliability analysis module and accordingly the time-varying reliability constraint is processed, and the optimal gear design parameter meeting the constraint is output.The application realizes the efficient cooperation of high-precision evaluation and lightweight optimization design of time-varying reliability, solves the problem that traditional method cannot consider time-varying factor in optimization due to high analysis cost.
Owner:ZHEJIANG UNIV OF TECH