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    Development of Component-Level Damage Evolution Models for Mechanical Prognosis

    Source: Journal of Applied Mechanics:;2008:;volume( 075 ):;issue: 002::page 21017
    Author:
    Muhammad Haroon
    ,
    Douglas E. Adams
    DOI: 10.1115/1.2793137
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents component-level empirical damage evolution regression models based on loads and damage information that do for mechanical damage prediction what the Paris law does for predicting crack growth under fatigue loading. Namely, these regression models combine information about the current damage state and internal system loads to predict the progress of damage to failure. One of the drawbacks of Paris-like crack evolution laws is that localized information about the loading (stress) and damage (crack length) is required. In structural health monitoring applications, it is not feasible to instrument every potential crack initiation region to collect this localized information. The component-level damage evolution regression models developed here only require global measurements that quantify the damage and loading at the level of the component rather than at the site of damage. This paper develops damage evolution regression models for an automotive sway bar link undergoing axial fatigue loading with two different damage mechanisms at a weldment and at an electrical discharge machining notch. Restoring force diagrams are used to calculate the load indicators as damage progresses and transmissibility functions are used to calculate the damage indicator during tests to failure. A component-level load intensity factor (ΔK) is calculated during these tests so that the rate of damage accumulation can be used to predict the growth of damage and ultimate failure.
    keyword(s): Stress , Fracture (Materials) , Electrical discharge machining , Failure , Force , Regression models , Fatigue , Fatigue cracks , Mechanisms AND Measurement ,
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      Development of Component-Level Damage Evolution Models for Mechanical Prognosis

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    http://yetl.yabesh.ir/yetl1/handle/yetl/137336
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    contributor authorMuhammad Haroon
    contributor authorDouglas E. Adams
    date accessioned2017-05-09T00:26:44Z
    date available2017-05-09T00:26:44Z
    date copyrightMarch, 2008
    date issued2008
    identifier issn0021-8936
    identifier otherJAMCAV-26682#021017_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/137336
    description abstractThis paper presents component-level empirical damage evolution regression models based on loads and damage information that do for mechanical damage prediction what the Paris law does for predicting crack growth under fatigue loading. Namely, these regression models combine information about the current damage state and internal system loads to predict the progress of damage to failure. One of the drawbacks of Paris-like crack evolution laws is that localized information about the loading (stress) and damage (crack length) is required. In structural health monitoring applications, it is not feasible to instrument every potential crack initiation region to collect this localized information. The component-level damage evolution regression models developed here only require global measurements that quantify the damage and loading at the level of the component rather than at the site of damage. This paper develops damage evolution regression models for an automotive sway bar link undergoing axial fatigue loading with two different damage mechanisms at a weldment and at an electrical discharge machining notch. Restoring force diagrams are used to calculate the load indicators as damage progresses and transmissibility functions are used to calculate the damage indicator during tests to failure. A component-level load intensity factor (ΔK) is calculated during these tests so that the rate of damage accumulation can be used to predict the growth of damage and ultimate failure.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleDevelopment of Component-Level Damage Evolution Models for Mechanical Prognosis
    typeJournal Paper
    journal volume75
    journal issue2
    journal titleJournal of Applied Mechanics
    identifier doi10.1115/1.2793137
    journal fristpage21017
    identifier eissn1528-9036
    keywordsStress
    keywordsFracture (Materials)
    keywordsElectrical discharge machining
    keywordsFailure
    keywordsForce
    keywordsRegression models
    keywordsFatigue
    keywordsFatigue cracks
    keywordsMechanisms AND Measurement
    treeJournal of Applied Mechanics:;2008:;volume( 075 ):;issue: 002
    contenttypeFulltext
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