The detection and evaluation for the internal defection in industrial pipeline based on the virtual heat source temperature field

Zhang, Fuli; Yuan, Zhaohui

doi:10.1007/s10973-018-07988-7

Cited by 4 publications

(1 citation statement)

References 21 publications

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“…Wang et al [24] conducted research on fatigue life prediction for metal thinwalled aircraft structures under thermal acoustic loads and verified it through fatigue tests. Zhang et al [25,26] analyzed the influence of thermal vibration loads on the stress-strain and fatigue life of aviation hydraulic pipelines, and they established a thermal vibration coupled stress model for pipelines. Wang et al [27] investigated a method for determining the dynamic strength safety margin and fatigue durability of pipeline structures under combined loading from pre-stressing and random excitation.…”

Section: Introductionmentioning

confidence: 99%

Optimal Transport Meshless Method Based Fatigue Life Calculation Method for Hydraulic Pipelines under Combined Excitation

Li,

Fan,

et al. 2024

Applied Sciences

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The issue of fatigue in modern hydraulic pipelines is increasingly severe, and there remains a lack of effective prediction methods for pipeline fatigue life. In practical engineering, hydraulic pipelines are primarily subjected to random excitation and fluid excitation, representing a typical composite excitation. Most current research relies on solutions considering only single excitations, which leads to inaccuracies. To accurately calculate the fatigue life under composite excitation, this study incorporates resonance excitation and pulsation excitation into the optimal transport meshless method (OTM) within a strong fluid–structure coupling computational framework. Subsequently, by utilizing the hazard point method based on obtained stress data, an estimation of the service life for engine hydraulic lines can be determined. This work provides both practical guidance and theoretical insights for designing hydraulic lines in modern aircraft.

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Section: Introductionmentioning

confidence: 99%