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Modeling loss of fatigue life in aircraft landing gear due to residual stresses from hard landings

Modeling loss of fatigue life in aircraft landing gear due to residual stresses from hard landings
对硬着陆残余应力导致飞机起落架疲劳寿命损失进行建模
批准号:
530169-2018
负责人:
Miller, Ronald
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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中文摘要
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英文摘要
When loads imparted to aircraft upon landing exceed 10% of designed limit loads, operators assume that**localized plastic deformation will occur in landing gear components. This results in persistent residual stresses**left in the gear, which are expected to negatively impact the fatigue life of the components. In cases when the**overloading is considered to be significant, landing gear must be taken out of service, heat-treated and**quarantined for long periods of time - an obviously expensive procedure for aircraft operators. Procedures and**inspections used to determine the need for removal from service depend on stress and fatigue analyses that**may, if they could be refined and validated, permit a less conservative approach. This could substantially**reduce operating costs without any compromise in safety.**In this initial engagement with the company, we propose to study a fundamental aspect of landing gear fatigue**analysis. Specifically, we will examine how to accurately incorporate the effect of residual stresses within the**fatigue life model. The common assumption is that a residual stress can be treated as equivalent to a constant**mean load superimposed on the cyclic loading expected in service. We can test this assumption through a**combination of FE analysis and experiments on test coupons with simplified geometries under low-cycle**fatigue. By the end of the 6-month project, we hope to be able to offer a preliminary assessment of the**mean-stress assumption. It is anticipated that this will guide further research into refinements of the modeling**of residual stress effects and improvements to the constitutive models used to predict fatigue life.
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