{"title":"Optimal design of MAS-ADT considering the influence of minimum accelerated stress","authors":"Yang Qi (齐洋) , Bin Wu (吴斌) , Bin Suo (锁斌)","doi":"10.1016/j.apm.2025.116059","DOIUrl":null,"url":null,"abstract":"<div><div>The minimum acceleration stress directly affects the extrapolation accuracy and acceleration effect of the degradation model of the accelerated degradation test, which in turn affects the accuracy of the reliability assessment and the efficiency of the accelerated test. Aiming at the problem that the minimum acceleration stress is given empirically, this paper proposes a method to determine the minimum acceleration stress by considering the extrapolation accuracy and acceleration effect. The optimal minimum accelerated stress is obtained by the algorithm, and other design variables such as the sample size and the number of tests are taken into account to establish a multi-objective optimal design model of minimum accelerated stress-accelerated degradation test (MAS-ADT), genetic algorithm and gradient descent are applied to search for the optimal solution with the highest model accuracy. The sensitivity analysis of the proposed optimization model is carried out, and the results show that the model has good robustness. Finally, the optimal design of electrical connectors with and without cost constraints is investigated, which shows that the proposed method has good practical application value.</div></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":"144 ","pages":"Article 116059"},"PeriodicalIF":4.4000,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Mathematical Modelling","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0307904X25001349","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The minimum acceleration stress directly affects the extrapolation accuracy and acceleration effect of the degradation model of the accelerated degradation test, which in turn affects the accuracy of the reliability assessment and the efficiency of the accelerated test. Aiming at the problem that the minimum acceleration stress is given empirically, this paper proposes a method to determine the minimum acceleration stress by considering the extrapolation accuracy and acceleration effect. The optimal minimum accelerated stress is obtained by the algorithm, and other design variables such as the sample size and the number of tests are taken into account to establish a multi-objective optimal design model of minimum accelerated stress-accelerated degradation test (MAS-ADT), genetic algorithm and gradient descent are applied to search for the optimal solution with the highest model accuracy. The sensitivity analysis of the proposed optimization model is carried out, and the results show that the model has good robustness. Finally, the optimal design of electrical connectors with and without cost constraints is investigated, which shows that the proposed method has good practical application value.
期刊介绍:
Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged.
This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.
Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.