Mathematical solutions for moving generalized electric-magnetic-polarization saturation models in magneto-electro-elastic materials via weight functions
{"title":"Mathematical solutions for moving generalized electric-magnetic-polarization saturation models in magneto-electro-elastic materials via weight functions","authors":"Sandeep Singh","doi":"10.1016/j.mechrescom.2025.104464","DOIUrl":null,"url":null,"abstract":"<div><div>This work presents an advanced analytical framework for solving moving generalized electric-magnetic-polarization saturation models in magneto-electro-elastic materials. The core methodology employs a weight function approach, which serves as a kernel to map applied electro-mechanical loads to stress intensity factors. The derivation involves solving boundary conditions using the crack opening displacement solution. A key contribution is the generalized strip yield model introduces a non-linear function <span><math><mrow><mi>g</mi><mrow><mo>(</mo><mi>x</mi><mo>)</mo></mrow></mrow></math></span> in the form <span><math><mrow><mo>(</mo><mi>g</mi><mrow><mo>(</mo><mi>x</mi><mo>)</mo></mrow><msub><mrow><mi>D</mi></mrow><mrow><mi>s</mi></mrow></msub><mo>=</mo><mfrac><mrow><mrow><mo>|</mo><msup><mrow><mi>x</mi></mrow><mrow><mi>n</mi></mrow></msup><mo>|</mo></mrow></mrow><mrow><msup><mrow><mi>b</mi></mrow><mrow><mi>n</mi></mrow></msup></mrow></mfrac><msub><mrow><mi>D</mi></mrow><mrow><mi>s</mi></mrow></msub><mo>)</mo></mrow></math></span>. This allows flexibility in modeling saturation effects under varying displacement fields. Different <span><math><mrow><mi>n</mi><mo>−</mo></mrow></math></span> values correspond to different material responses, enabling the model to capture a range of non-linear behaviors. Validate the generalized strip yield model’s results by comparing them with solutions obtained via the stress function approach. Perform simulations to study crack-face boundary conditions under prescribed electro-mechanical loading. The results illustrate how SIFs vary with the size of the induction zone, saturation parameters, and the applied electro-mechanical fields. The agreement between the generalized model and direct analytical methods supports its accuracy.</div></div>","PeriodicalId":49846,"journal":{"name":"Mechanics Research Communications","volume":"148 ","pages":"Article 104464"},"PeriodicalIF":2.3000,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mechanics Research Communications","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0093641325000977","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MECHANICS","Score":null,"Total":0}
引用次数: 0
Abstract
This work presents an advanced analytical framework for solving moving generalized electric-magnetic-polarization saturation models in magneto-electro-elastic materials. The core methodology employs a weight function approach, which serves as a kernel to map applied electro-mechanical loads to stress intensity factors. The derivation involves solving boundary conditions using the crack opening displacement solution. A key contribution is the generalized strip yield model introduces a non-linear function in the form . This allows flexibility in modeling saturation effects under varying displacement fields. Different values correspond to different material responses, enabling the model to capture a range of non-linear behaviors. Validate the generalized strip yield model’s results by comparing them with solutions obtained via the stress function approach. Perform simulations to study crack-face boundary conditions under prescribed electro-mechanical loading. The results illustrate how SIFs vary with the size of the induction zone, saturation parameters, and the applied electro-mechanical fields. The agreement between the generalized model and direct analytical methods supports its accuracy.
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