Stress concentration analysis of butt welds with variable wall thickness of spanning pipelines caused by additional loads

Lin, Wei; Tang, Yi; Ma, Tianjiao; Zhong, Jijia; Li, Zhimin; Zhang, Yuqian; Hu, Xuan

doi:10.1016/j.ijpvp.2020.104075

Cited by 21 publications

(5 citation statements)

References 16 publications

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“…In the calculation of the finite element, the ratio of hot spot stress to nominal stress is commonly used to define the stress concentration factor in engineering, as shown in the following formula (Wang et al, 2020):…”

Section: Model Verificationmentioning

confidence: 99%

Stress Analysis of the Effect of Additional Load on the Butt Weld of Suspended Pipeline With Variable Wall Thickness

Yingchao¹,

Yu²,

Wang³

et al. 2022

Front. Energy Res.

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Under the special geological environment of the buried pipe, the ground is lost at the bottom of the pipe, which is created by various kinds of external factors. The pipe in the suspended state would be greatly deformed due to its own weight, internal pressure, and other factors, resulting in the failure of the pipeline. When a variable wall thickness weld occurs in the suspended section of the pipeline, the change of the pipeline stress will be more complicated and changeable. In this study, ABAQUS software is used to establish a pipe–soil model of variable wall thickness butt welds of suspended pipelines. The axial stress distribution with different affected factors in the pipe, the change of curvature, and Mises stress change of the entire pipe along the axial direction are obtained by analyzing the internal pressure, wall thickness ratio, suspended length, weld position, and cone length. The results show that the stress at the root of the weld changes significantly; therefore, the weld has a greater impact on the stress of the entire pipeline. The change of internal pressure has little effect on the stress at the pipe weld. As the suspended length increases, the change in stress at the weld is more obvious. When the weld seam is close to the soil, the support of the soil will gradually shift the maximum stress position of the pipe from the top of the pipe to the bottom of the pipe. With the increase in cone length, it will reduce the sudden change of pipe section and the change in stress effectively. The places where the curvature greatly changes along the axial direction are at the pipe–soil separation and the middle of the pipeline, while the stress reaches the maximum at the pipe–soil separation, and the place with the largest stress change is the weld in the middle of the pipeline.

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Section: Model Verificationmentioning

confidence: 99%

Stress Analysis of the Effect of Additional Load on the Butt Weld of Suspended Pipeline With Variable Wall Thickness

Yingchao¹,

Yu²,

Wang³

et al. 2022

Front. Energy Res.

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“…Both boilers and pipelines are confronted with long-term safety hazards [1][2] . Hangers are essential components of pipeline systems, and if hangers cannot withstand the loads imposed by pipelines or control the deformation of the piping system, it is difficult to ensure the normal operation of the pipelines and equipment [3] . Due to its characteristic of having zero theoretical stiffness, the constant force spring hanger is increasingly being used in the design and installation of thermal pipelines in power plants [4,5] .…”

Section: Introductionmentioning

confidence: 99%

Quantitative analysis and research on influencing factors of connecting-rod constant spring hangers load performance

li,

wu,

sun

et al. 2024

Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023)

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Constant spring hanger is an important part of the pipeline system, and its performance directly affects the safe operation of the pipeline. In order to explore the influencing factors of constant spring hanger load performance, using the mechanical model of constant spring hanger, this paper analyzed the effects of the two major factors, namely system friction and spring stiffness deviation, on its load performance quantitatively. The results prove that constant spring hanger invariance is mainly related to friction, whereas spring stiffness deviation just affects load deviation. On this basis, two indicators of friction factor  and elastic factor  are proposed to measure the effects of friction and spring stiffness deviation on the constant spring hanger performance respectively. This study is helpful for the manufacturing and optimization of constant spring hangers. Meanwhile, it also contributes to the design and optimization of pressure pipelines. All these results have referential value on the root cause analysis for the abnormal expansion of high-parameter pipelines.

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“…The failure‐time data characterize products reliability information on the time scale, and this kind of data can be obtained from the field reliability tests, laboratory reliability tests, and after‐sale service reports. Degradation data can characterize the degradation process of products, and they can be related to the products failure when the degradation indicator reaches a failure threshold 5–7 . Traditional methods for reliability analysis of products with high reliability and safety generally use one type of reliability data, either failure‐time data or degradation data 8–10 .…”

Section: Introductionmentioning

confidence: 99%

“…Degradation data can characterize the degradation process of products, and they can be related to the products failure when the degradation indicator reaches a failure threshold. [5][6][7] Traditional methods for reliability analysis of products with high reliability and safety generally use one type of reliability data, either failure-time data or degradation data. [8][9][10] Nevertheless, some of these products are small-batch products with customized properties, and the reliability analysis of these products often encounters small sample size problem.…”

Section: Introductionmentioning

confidence: 99%

Bayesian information fusion method for reliability analysis with failure‐time data and degradation data

Guo

Peng

et al. 2022

Quality & Reliability Eng

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Degradation data and failure‐time data are two types of data commonly used in reliability analysis. Both types of data are collected from different sources for reliability analysis of complex products. For highly reliable products, however, it is often difficult to collect sufficient useful data for reliability analysis with high accuracy, which poses the challenge for small sample size problems, that is, single‐type data with few samples. In this paper, three novel Bayesian information fusion models are first proposed to characterize the inherent relationship between the failure‐time data and the degradation data, and further to integrate the heterogeneous data to obtain accurate reliability analysis results under small sample size. Then, a model selection method is developed to choose appropriate model from the Wiener process, gamma process, and IG process models. Finally, the reliability analysis is completed based on the parameter estimation of the Bayesian information fusion model with the aid of the MCMC method. An industrial example is presented to demonstrate the effectiveness of the proposed Bayesian information fusion method.

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Stress concentration analysis of butt welds with variable wall thickness of spanning pipelines caused by additional loads

Cited by 21 publications

References 16 publications

Stress Analysis of the Effect of Additional Load on the Butt Weld of Suspended Pipeline With Variable Wall Thickness

Stress Analysis of the Effect of Additional Load on the Butt Weld of Suspended Pipeline With Variable Wall Thickness

Quantitative analysis and research on influencing factors of connecting-rod constant spring hangers load performance

Bayesian information fusion method for reliability analysis with failure‐time data and degradation data

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