Pressure pipes are usually made of materials with good toughness, and its failure is usually plastic failure. Therefore, to seek its safety assessment method, it needs its ultimate load. The load that the pipeline bears is usually internal pressure and bending moment, so the limit load sought in this study refers to the ultimate load of the pressure pipeline when the internal pressure and bending moment act independently and simultaneously. Analysis of factors affecting the limit load of local thinning defects pipelines There are many factors that affect the limit load of pipelines with local thinning defects. In addition to the material and size of the pipeline, the size of the local thinning defects is mainly. In the research, the author uses the method of orthogonal experiment design and finite element analysis to analyze the influence of various factors on the limit load. For the convenience of analysis, the dimensionless parameters of the local thinning defect size are used, which are the relative depth of the local thinning defect (a / t), the relative circumferential length of the defect (H / P) and the relative axial length of the defect (L / Rt), where a, H and L are the depth, half-angle and axial length of the defect, respectively, and R and t are the average radius and wall thickness of the tube, respectively. The intuitive method is to plot the finite element calculation results (limit internal pressure pL and limit bending moment ML) of the 25 schemes to the three influencing factors, and observe the influence of each factor on the limit load of the pipeline with local thinning defects. The analysis of variance is to analyze the effect of experiment and error on the index (limit load), analyze the impact of the level change of each factor on the index, that is, obtain the F value of each factor, and then compare it with the critical FA at the given significance level A The value (the value is obtained from the F distribution table) is compared, and a judgment is made that the influencing factors have significant influence on the indicator.
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