管道延伸数千公里,用于运输和分配石油和天然气。鉴于腐蚀经常面临的挑战,疲劳,以及钢管中的其他问题,石油和天然气集输系统对玻璃纤维增强塑料(GFRP)管的需求正在增加。然而,通过这些管道输送的介质含有多种酸性气体,如CO2和H2S,以及包括Cl-在内的离子,Ca2+,Mg2+,SO42-,CO32-,和HCO3-。这些物质会引起一系列的问题,如衰老,脱粘,分层,和骨折。在这项研究中,对深度为2mm和5mm的V形缺陷GFRP管进行了一系列的老化损伤实验。使用声发射(AE)技术研究了GFRP在外力和酸性溶液共同作用下的老化和失效。发现酸性老化溶液促进基体损伤,纤维/基质解吸,以及短时间内GFRP管的分层损伤。然而,总体衰老效应相对较弱。根据实验数据,提出了SSA-LSSVM算法,并将其应用于GFRP损伤模式识别中。平均识别率高达90%,表明该方法非常适合分析与GFRP损伤相关的AE信号。
Pipelines extend thousands of kilometers to transport and distribute oil and gas. Given the challenges often faced with corrosion, fatigue, and other issues in steel pipes, the demand for glass fiber-reinforced plastic (GFRP) pipes is increasing in oil and gas gathering and transmission systems. However, the medium that is transported through these pipelines contains multiple acid gases such as CO2 and H2S, as well as ions including Cl-, Ca2+, Mg2+, SO42-, CO32-, and HCO3-. These substances can cause a series of problems, such as aging, debonding, delamination, and fracture. In this study, a series of aging damage experiments were conducted on V-shaped defect GFRP pipes with depths of 2 mm and 5 mm. The aging and failure of GFRP were studied under the combined effects of external force and acidic solution using acoustic emission (AE) techniques. It was found that the acidic aging solution promoted matrix damage, fiber/matrix desorption, and delamination damage in GFRP pipes over a short period. However, the overall aging effect was relatively weak. Based on the experimental data, the SSA-LSSVM algorithm was proposed and applied to the damage pattern recognition of GFRP. An average recognition rate of up to 90% was achieved, indicating that this method is highly suitable for analyzing AE signals related to GFRP damage.