首页|高压管汇材料疲劳性能测试及P-S-N模型曲线的拟合

高压管汇材料疲劳性能测试及P-S-N模型曲线的拟合

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高压管汇作为压裂设备中的主要易损件之一,其失效危害较大.它的失效原因主要是疲劳、冲蚀、腐蚀或者材料缺陷引起的刺漏和爆裂,其中尤以疲劳失效最不可预估.目前,对于高压管汇材料的疲劳性能研究不够深入,为解决高压管汇材料疲劳寿命的准确描述问题,以某国产高压管汇材料为例,进行了一系列疲劳试验,并基于试验数据,采用多种分布模型和不同S-N模型进行拟合分析,得出综合评价拟合能力最强的P-S-N模型.结果表明,该材料在中长疲劳寿命区,Weibull三参数模型在7级应力水平下综合评价能力最好;在存活率分别为50％、90％、99％、99.9％时,指数S-N模型的拟合系数均大于0.98,拟合能力最好.得出的P-S-N模型曲线可以为高压管汇的疲劳寿命以及安全设计提供依据.
Material fatigue testing of high-pressure manifold and P-S-N model curve fitting
The high-pressure manifold,as one of the main vulnerable components in fracturing equipment,poses significant risks when it fails.Its failure is mainly attributed to fatigue,erosion,corrosion,or puncture and rupture caused by material defects,with fatigue failure being the most unpredictable.Currently,research on the fatigue performance of materials used in high-pressure manifolds is not sufficiently thorough.To address the accurate description of the fatigue life of materials used in high-pressure manifolds,a series of fatigue tests were conducted using a domestically produced high-pressure manifold material as an example.Based on the experimental data,various distribution models and different S-N models were used for fitting analysis,and the P-S-N model with the strongest comprehensive fitting capability was identified.The results indicate that,in the medium to long fatigue life range,the Weibull three-parameter model exhibits the best comprehensive evaluation capability at seven stress levels.For survival rates of 50％,90％,99％,and 99.9％,the fitting coefficients of the exponential S-N model are all greater than 0.98,demonstrating the best fitting capability.The derived P-S-N curve most accurately describes the fatigue performance of the high-pressure manifold material,providing an effective basis for the fatigue life design of high-pressure manifolds.

high-pressure manifold materialnormal distribution modelweibull distribution modelP-S-N modelpower function S-N modelexponential S-N model

黄艳娟、周思柱、李宁

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长江大学计算机科学学院,湖北荆州 434023

长江大学机械工程学院,湖北荆州 434023

高压管汇材料 正态分布模型 Weibull分布模型 P-S-N模型 幂函数S-N模型 指数S-N模型

中国石油科技创新基金项目国家科技重大专项课题联合项目江苏省油(气)井设备工程技术研究中心开放课题项目

2020D-5007-05032016ZX05038-001-LH002HT202102

2024

长江大学学报(自科版)
长江大学

长江大学学报(自科版)

影响因子：0.335
ISSN：1673-1409
年,卷(期)：2024.21(3)
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