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Impact of different welding processes on the pneumatic bulge test at a high temperature: Gas Tungsten Arc Welding and Laser Beam Welding 不同焊接工艺对高温下气动胀形试验的影响:气体钨极保护焊和激光束焊接
IF 3.5 2区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2025-11-15 DOI: 10.1016/j.ijpvp.2025.105703
Zi-Jian Guo , Jin Shi , Jing-Huan Chang , Jia-Xing Wang , Yun Zhou , Jian-Feng Wen , Shan-Tung Tu
Pneumatic bulge test (PBT), as a novel small specimen testing method, demonstrates significant potential for assessing mechanical properties of materials. The current method necessitates welding to ensure stable loading of pneumatic pressure. However, the influence of the welding process on PBT test results has not been effectively evaluated. This study examines the impact of this factor by analyzing the microstructure of welded joints between the specimen and the lower holder. It also evaluates the effects of Gas Tungsten Arc Welding (GTAW) and Laser Beam Welding (LBW) on SUS 304 specimens tested at 600 °C, comparing their pressure-deflection (P-D) curves with finite element simulations that exclude welding. The results reveal that both welded specimens ruptured at the center, but LBW curves closely matched simulations, in contrast to those for GTAW. This discrepancy is explained by morphological analysis, which indicates that GTAW joints are wider and deeper due to lower energy density and slower cooling, with LBW joint width and depth being 34.8 % and 45.9 % of those of GTAW joints. Additionally, LBW joints exhibit fine columnar dendrites and significant carbide precipitation, while GTAW joints show coarser grains and a broader heat-affected zone. Moreover, hardness tests reveal GTAW joints are ∼50 % harder with steeper gradients, leading to stronger constraints at the edges of GTAW specimens compared to LBW-welded specimens. Consequently, the GTAW specimens require greater deformation resistance during loading, resulting in higher P-D curves. These findings suggest that LBW is likely more favorable than GTAW for PBT tests.
气动胀形试验(PBT)作为一种新型的小试件试验方法,在评估材料力学性能方面具有重要的潜力。目前的方法需要焊接来保证气压的稳定加载。然而,焊接工艺对PBT测试结果的影响尚未得到有效评价。本研究通过分析试样与下支架之间焊接接头的显微组织来检验这一因素的影响。本文还评估了在600°C下进行钨极气体保护焊(GTAW)和激光束焊接(LBW)对SUS 304试样的影响,并将其压力-偏转(P-D)曲线与排除焊接的有限元模拟进行了比较。结果表明,两种焊接试样均在中心处破裂,但LBW曲线与模拟结果非常吻合,而GTAW曲线则相反。形态分析表明,由于能量密度较低、冷却速度较慢,GTAW接头较宽、较深,其中LBW接头的宽度和深度分别为GTAW接头的34.8%和45.9%。此外,LBW接头表现出细小的柱状枝晶和显著的碳化物析出,而GTAW接头表现出更粗的晶粒和更宽的热影响区。此外,硬度测试表明,与lbw焊接试样相比,GTAW接头在陡坡上的硬度为50%,导致GTAW试样边缘的约束更强。因此,GTAW试样在加载过程中需要更大的变形抗力,从而导致更高的P-D曲线。这些发现表明LBW可能比GTAW更有利于PBT测试。
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引用次数: 0
A data fusion and causal method for estimating pipeline strain resulting from ground movement 一种估算地面移动引起的管道应变的数据融合和因果法
IF 3.5 2区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2025-11-13 DOI: 10.1016/j.ijpvp.2025.105704
Colin A. Schell , Ernest Lever , Dhruva Rayasam , Katrina M. Groth
Pipelines are the primary transportation method for natural gas and oil in the United States making them critical infrastructure to maintain. However, ground movement hazards, such as landslides and ground subsidence, can deform pipelines and potentially lead to the release of hazardous materials. Longitudinal strain-based limit states are commonly used to manage pipeline integrity in the presence of these ground movement hazards. However, most available methods for predicting strain demand, the strain induced on the pipeline by its environment, are only applicable in specific ground movement scenarios and cannot synthesize complementary data sources. This makes it challenging to compare ground movement hazards where the movement or strain information is collected by different monitoring techniques. Thus, it is difficult to identify locations with high strain demand in a comparable manner making it difficult for pipeline companies to protect their pipeline network from ground movement hazards.
To close these gaps, this research paper presents a new causal information fusion model for assessing strain demand in a variety of ground movement scenarios. The model is capable of using multiple sources of pipeline and ground monitoring data to probabilistically assess pipeline strain demand. The model was applied to two case studies with different ground movement scenarios and available data to demonstrate its information fusion capabilities. Despite data quality challenges, the model can identify areas of high longitudinal strain indicating a higher potential for failure. When used in a pipeline integrity model, the proposed strain demand model could identify at-risk pipeline segments that may require remediation or further analysis and promote a quicker response to ground movement hazards overall.
在美国,管道是天然气和石油的主要运输方式,因此是需要维护的关键基础设施。然而,地面移动的危险,如滑坡和地面沉降,可能会使管道变形,并可能导致有害物质的释放。基于纵向应变的极限状态通常用于管理存在这些地面移动危险的管道完整性。然而,大多数现有的预测应变需求的方法,即由其环境对管道产生的应变,仅适用于特定的地面移动场景,无法综合互补的数据源。这使得比较由不同监测技术收集的运动或应变信息的地面运动危害具有挑战性。因此,很难以可比的方式确定高应变需求的位置,这使得管道公司难以保护其管网免受地面移动危害。为了弥补这些空白,本文提出了一种新的因果信息融合模型,用于评估各种地面运动情景下的应变需求。该模型能够利用多种管道和地面监测数据源对管道应变需求进行概率评估。将该模型应用于两个具有不同地面移动场景和可用数据的案例研究,以验证其信息融合能力。尽管数据质量存在挑战,但该模型可以识别出高纵向应变区域,这表明故障的可能性更高。当用于管道完整性模型时,建议的应变需求模型可以识别可能需要修复或进一步分析的风险管道段,并促进对地面移动危害的更快响应。
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引用次数: 0
Safety assessment of existing nuclear power plants subjected to wind-borne missile impact of wind turbine blades 现有核电站风力涡轮叶片受风载导弹冲击的安全性评估
IF 3.5 2区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2025-11-12 DOI: 10.1016/j.ijpvp.2025.105701
Ting-Yu Fan, Chin-Yu Lin
This paper performs a series of numerical simulations to evaluate the potential impact of wind-borne missiles resulting from the repowering of a wind farm located near an existing nuclear power plant in northern Taiwan. According to the U.S. Nuclear Regulatory Commission (USNRC) Regulatory Guide 1.76, Design-Basis Tornado and Tornado Missiles for Nuclear Power Plants, the impact of wind-borne missiles must be considered as a design accident in nuclear power plants safety assessments. Three scenarios of wind turbine blade failure are examined: (1) fatigue-induced fracture, (2) ultimate strength failure, and (3) fracture caused by extreme wind speeds of typhoons. The projectile motion of fractured blades is simulated using LS-DYNA finite element program to estimate trajectory, terminal velocity and projectile range. Furthermore, in accordance with the concept of defense in depth, the structural integrity of crucial structures subjected to wind-borne missile impact is evaluated. The simulation results indicate that the projected flight range of fractured wind turbine blades does not reach any critical facilities within the nuclear power plant. Even in the event of an impact, the extent and depth of penetration are insufficient to compromise the safety or functionality of essential structures.
本文通过一系列的数值模拟来评估台湾北部现有核电厂附近的风电场重新供电所产生的风载导弹的潜在影响。根据美国核管理委员会(USNRC)监管指南1.76《核电站基于设计的龙卷风和龙卷风导弹》,在核电站安全评估中,必须将风载导弹的影响视为设计事故。研究了风力机叶片的三种失效情况:(1)疲劳断裂;(2)极限强度断裂;(3)台风极端风速断裂。采用LS-DYNA有限元程序对叶片断裂后的弹丸运动进行了仿真,估计了叶片断裂后的弹道、末速和弹丸距离。此外,根据纵深防御的概念,对关键结构在风载导弹冲击下的结构完整性进行了评估。仿真结果表明,断裂风力机叶片的预计飞行距离未达到核电站内任何关键设施。即使发生撞击,穿透的程度和深度也不足以危及基本结构的安全或功能。
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引用次数: 0
Analysis of influencing factors on multi-source data acquisition and tensile performance prediction for spherical indentation tests (SITs) 球形压痕试验多源数据采集及拉伸性能预测影响因素分析
IF 3.5 2区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2025-11-11 DOI: 10.1016/j.ijpvp.2025.105702
Tairui Zhang , Weiwei Zheng , Xiandong Shang , Yide Li , Lei Xu , Wenhuan Dou , Aliaksandr Kren , Ji Lang
To promote the indentation tests integrated with multi-source data acquisitions, this study systematically investigates the influence of speckle pattern preparation methodology, surface roughness, and indenter tilt angle on the acquisition of indentation parameters, including the plastic zone radius, load-depth curves, and residual indentation profile. Influence of indentation parameters variations on tensile property predictions has also been extensively investigated. Comparisons between natural and artificial speckles demonstrate high consistency in the strain contours, with plastic zone radius differences smaller than 2 %. Therefore, in practical engineering applications, method for speckle preparation can be flexibly selected based on testing conditions. Surface roughness exhibits negligible effects on all indentation data, and the accuracy for data acquisition can be roughly ensured as long as the surface roughness Ra remains smaller than 0.8 μm. In comparison, the tilt angle has pronounced effects on the load-displacement curves and indentation profiles, as well as induces elliptical deformation of the plastic zone. In engineering practice, the tilt angle should be maintained smaller than 5° whenever possible. Additionally, using indentation profiles (pile-up coefficients) and plastic zone radius extracted perpendicular to the tilt direction can mitigate the impact of tilt on test results. Furthermore, comparative analysis of different tensile property models indicates that the incremental indentation energy model, incorporating multi-source data acquisition, delivers more stable and reliable prediction results under adverse conditions involving high surface roughness and large tilt angles.
为了促进压痕试验与多源数据采集的集成,本研究系统地研究了散斑图制备方法、表面粗糙度和压痕刀倾角对压痕参数采集的影响,包括塑性区半径、载荷-深度曲线和残余压痕轮廓。压痕参数变化对拉伸性能预测的影响也得到了广泛的研究。自然斑点与人工斑点的比较表明,在应变轮廓上具有较高的一致性,塑性区半径差异小于2%。因此,在实际工程应用中,可以根据试验条件灵活选择制备散斑的方法。表面粗糙度对所有压痕数据的影响可以忽略不计,只要表面粗糙度Ra小于0.8 μm,即可基本保证数据采集的精度。倾角对荷载-位移曲线和压痕轮廓有明显的影响,并引起塑性区的椭圆变形。在工程实践中,倾斜角应尽可能保持小于5°。此外,使用垂直于倾斜方向提取的压痕轮廓(堆积系数)和塑性区半径可以减轻倾斜对测试结果的影响。此外,对不同拉伸性能模型的对比分析表明,结合多源数据采集的增量压痕能量模型在高表面粗糙度和大倾角等不利条件下的预测结果更加稳定可靠。
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引用次数: 0
Evaluation of offshore pipeline failure due to complex shaped corrosion defects using deep learning methods 基于深度学习方法的海洋管道复杂形状腐蚀缺陷失效评估
IF 3.5 2区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2025-11-08 DOI: 10.1016/j.ijpvp.2025.105700
Davoud Shahgholian-Ghahfarokhi , Mohsen Abyani , Mohammad Karimi
This research examines the failure assessment of high-pressure, high-temperature offshore pipelines made of API 5L X65 steel with the outer diameter and wall thickness equal to 32” and 20.6 mm, subjected to complex-shaped corrosion defects. An efficient algorithm generated 700 randomly shaped defect geometries representing a more realistic corrosion morphology. Nonlinear Finite Element Analyses (FEA) determined failure pressures for each geometry. Grayscale images of defect cross-sections, annotated with FEA results, are used to train a Convolutional Neural Network (CNN) model. The CNN achieves high accuracy in predicting failure pressures, reducing error and training time compared to traditional machine learning methods by effectively extracting spatial features from images. Additionally, the defects are assessed using the DNVGL-RP-F101 code-based method. The results show a strong correlation (R2 = 97.83 %) between FEA and CNN predictions. In 578 of 700 cases, numerical failure pressures exceeded those from the code, indicating that the code-based approach is generally conservative.
本研究对外径32”、壁厚20.6 mm的API 5L X65钢制成的高压高温海上管道进行了复杂形状腐蚀缺陷的失效评估。一种高效的算法生成了700个随机形状的缺陷几何形状,代表了更真实的腐蚀形态。非线性有限元分析(FEA)确定了每个几何结构的失效压力。用带有有限元结果注释的缺陷截面灰度图像来训练卷积神经网络(CNN)模型。与传统的机器学习方法相比,CNN通过有效地从图像中提取空间特征,在预测故障压力方面实现了较高的准确性,减少了误差和训练时间。此外,使用DNVGL-RP-F101基于代码的方法评估缺陷。结果表明,FEA与CNN预测结果具有很强的相关性(R2 = 97.83%)。在700个案例中,有578个案例的数值失效压力超过了代码的失效压力,这表明基于代码的方法通常是保守的。
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引用次数: 0
Applicability of two types of notched tension specimens to determine the multiaxial stress rupture criterion for GH4169 at 650 °C 两种缺口拉伸试样在650℃下确定GH4169多轴应力断裂准则的适用性
IF 3.5 2区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2025-11-04 DOI: 10.1016/j.ijpvp.2025.105699
Yuan-Xu Song , Kun Zhang , Jian-Ping Tan , Tao Wang , Xuan Zhang , Jie Su , Xuan Liu , Jing-Bo Yan , Peng Liu , Jian-Feng Wen , Ning Wang , Xian-Cheng Zhang
In this work the applicability of notched plate tension (NPT) and circumferentially notched tension (CNT) specimens to determine the multiaxial stress rupture criterion (MSRC) of creeping materials is evaluated by the direct and indirect methods based on the uniaxial and multiaxial (NPT and CNT specimens) creep data of a nickel-based alloy GH4169 at 650 °C. Also, the evaluation covers four commonly-used MSRCs, three of which (termed Type 1 hereafter) involve an adjustable factor, while the last (termed Type 2 hereafter) does not. Results indicate that the NPT specimen is probably not suitable for determining the MSRC for the alloy regardless of the determination method and the MSRC examined. This is because, for the Type 1 MSRC, the adjustable factor in each MSRC turns out to vary greatly depending on the notch size and the location on which relevant stresses are extracted. While for the Type 2 MSRC, the predicted multiaxial creep life depends on the location of stress extraction. Moreover, the determined MSRC based on the NPT specimen cannot be directly applied to predicting the creep life of CNT specimens, and vice versa. Interestingly, the use of CNT specimen with the same notch size of NPT specimen is found to be suitable for determining the MSRC. This is because when the skeletal point stresses of a CNT specimen with the same notch size of NPT specimen are used, the resulting adjustable factor becomes much less affected by the stress state and by the MSRC adopted. Moreover, the predicted lives of CNT specimens with different notch root radii agree well with the experimental counterparts when the determined adjustable factor is used.
本文以650℃下镍基合金GH4169的单轴和多轴(NPT和CNT)蠕变数据为基础,通过直接和间接的方法,对缺口板拉伸(NPT)和周向缺口拉伸(CNT)试样确定蠕变材料多轴应力破裂准则(MSRC)的适用性进行了评价。此外,评估涵盖了四种常用的msrc,其中三种(以下称为类型1)涉及可调节因子,而最后一种(以下称为类型2)则没有。结果表明,无论采用何种测定方法和所检测的MSRC, NPT试样都可能不适用于合金的MSRC测定。这是因为,对于1型MSRC,每个MSRC中的可调因子根据缺口尺寸和提取相关应力的位置而变化很大。而对于2型MSRC,预测的多轴蠕变寿命取决于应力提取的位置。此外,基于NPT试样确定的MSRC不能直接用于预测碳纳米管试件的蠕变寿命,反之亦然。有趣的是,使用与NPT样品具有相同缺口尺寸的碳纳米管样品被发现适合于确定MSRC。这是因为当使用与NPT试样相同缺口尺寸的碳纳米管试样的骨架点应力时,得到的可调因子受应力状态和所采用的MSRC的影响要小得多。此外,当使用确定的可调因子时,不同缺口根半径碳纳米管试件的预测寿命与实验结果吻合较好。
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引用次数: 0
A study on the maintenance and management mechanisms of heat exchangers in spent fuel pool systems during nuclear facility decommissioning transition 核设施退役过渡期间乏燃料池热交换器维护管理机制研究
IF 3.5 2区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2025-11-04 DOI: 10.1016/j.ijpvp.2025.105697
Sue-Ray Lin, Hsien-Chou Lin, Chin-Cheng Huang
During the transitional phase of a nuclear power plant's decommissioning process, prior to the removal of spent nuclear fuel from the spent fuel pool, certain key retained equipment—such as passive components like heat exchangers in the spent fuel pool cooling system—is expected to maintain its required functional performance even after the expiration of the operating license. According to a 2023 fatigue assessment report by the International Atomic Energy Agency (IAEA), heat exchanger tubes may experience wear due to vibration and relative motion with support plates, and fouling can also lead to a reduction in heat transfer capacity. Additionally, the plant's maintenance procedure manual specify that detailed disassembly and inspection of heat exchangers are generally performed only when there is evidence of reduced heat exchange performance or increased inlet-outlet pressure differentials. However, during this phase, as the equipment continues to operate, inlet-outlet pressure differentials remain the primary diagnostic criterion.
This study uses computational fluid dynamics (CFD) simulations to model fluid behavior within heat exchanger tubes under hypothetical fouling conditions. Based on the findings, it is recommended that, even though the heat exchange functionality is no longer critical during the transitional phase, potential future degradation caused by fouling cannot be accurately assessed solely based on pressure differentials. Regular detailed disassembly and inspections are necessary to ensure the equipment's functional performance remains reliable beyond its design life, particularly in preventing potential leakage issues.
在核电站退役过程的过渡阶段,在从乏燃料池中取出乏核燃料之前,某些关键的保留设备,如乏燃料池冷却系统中的热交换器等被动部件,即使在运行许可证到期后,也有望保持其所需的功能性能。根据国际原子能机构(IAEA)的2023年疲劳评估报告,热交换器管可能会因振动和与支撑板的相对运动而磨损,并且污垢也会导致传热能力降低。此外,工厂的维护程序手册规定,通常只有在有证据表明热交换性能降低或进出口压差增加时,才对热交换器进行详细的拆卸和检查。然而,在这一阶段,随着设备继续运行,进出口压差仍然是主要的诊断标准。本研究使用计算流体动力学(CFD)模拟了假设结垢条件下换热器管内的流体行为。基于这些发现,我们建议,即使热交换功能在过渡阶段不再至关重要,也不能仅根据压差准确评估由污垢引起的潜在未来退化。定期详细拆卸和检查是必要的,以确保设备的功能性能在其设计寿命之外仍然可靠,特别是在防止潜在的泄漏问题。
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引用次数: 0
High-throughput computing designed wire-powder co-deposition SAAM of optimized CrMo steel: Microstructure, mechanical properties and corrosion behavior 高通量计算设计的优化CrMo钢线粉共沉积SAAM:组织、力学性能和腐蚀行为
IF 3.5 2区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2025-11-01 DOI: 10.1016/j.ijpvp.2025.105698
Meijuan Hu , Qiang Chi , Chunyong Huo , Shengke Yang , Da Lei , Mengnie Victor Li
Wire arc additive manufacturing (WAAM) has emerged as a viable solution for fabricating complex and large-scale structural components, and has been widely adopted in industries such as aerospace, marine engineering, and oil and gas equipment. However, the development of compatible wire materials remains insufficient. To expedite the design of high-performance alloy wires suitable for submerged arc additive manufacturing (SAAM), this study established a high-throughput computing (HTC) framework based on JMatPro software. Through a full factorial experimental design involving 16384 parameter combinations, the optimized CrMo steel composition (Fe-0.063C-0.3Mn-2Cr-0.93Mo-0.33Ni-0.002Ti) was identified, exhibiting excellent strength and corrosion resistance. The microstructure, mechanical properties, and corrosion behavior of the optimized SAAM alloy were investigated using a scanning electron microscope (SEM), energy dispersive spectrometer (EDS), tensile tests, and electrochemical tests, and compared with those of the original SAAM sample. Results indicate that the microstructure of the newly developed CrMo steel is predominantly composed of granular bainite (GB), with densely and uniformly distributed martensite-austenite (M/A) islands. The alloy demonstrates superior mechanical performance, with an ultimate tensile strength of 755 ± 15.4 MPa and a yield strength of 672 ± 14.6 MPa, along with a low corrosion rate of 0.102 mm/a. Following electrochemical testing, a continuous and compact layer of α-FeOOH and Fe2O3 corrosion products formed on the alloy surface, effectively inhibiting further corrosion. This study significantly reduces the time and experimental costs associated with traditional alloy development, highlighting the promising potential of HTC-based methodologies in the design of novel materials tailored for specialized manufacturing processes.
电弧增材制造(WAAM)已成为制造复杂和大型结构部件的可行解决方案,并已广泛应用于航空航天、海洋工程、石油和天然气设备等行业。然而,兼容线材的开发仍然不足。为了加快适用于埋弧增材制造(SAAM)的高性能合金丝的设计,本研究建立了基于JMatPro软件的高通量计算(HTC)框架。通过16384个参数组合的全因子试验设计,确定了最佳的CrMo钢成分(Fe-0.063C-0.3Mn-2Cr-0.93Mo-0.33Ni-0.002Ti),具有优异的强度和耐腐蚀性。采用扫描电镜(SEM)、能谱仪(EDS)、拉伸测试和电化学测试等手段对优化后的SAAM合金的微观组织、力学性能和腐蚀行为进行了研究,并与原始SAAM试样进行了对比。结果表明:新开发的CrMo钢的显微组织主要由粒状贝氏体(GB)和密集均匀分布的马氏体-奥氏体(M/A)岛组成;合金具有优异的力学性能,抗拉强度为755±15.4 MPa,屈服强度为672±14.6 MPa,腐蚀速率为0.102 mm/a。电化学测试后,合金表面形成一层连续致密的α-FeOOH和Fe2O3腐蚀产物,有效地抑制了进一步的腐蚀。这项研究大大减少了与传统合金开发相关的时间和实验成本,突出了基于htc的方法在为专门制造工艺量身定制新材料设计方面的巨大潜力。
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引用次数: 0
MSANet: Electromagnetic ultrasonic signal recognition and grading of submarine pipeline defects based on a multi-sensory attention network MSANet:基于多感官注意网络的海底管道缺陷电磁超声信号识别与分级
IF 3.5 2区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2025-10-31 DOI: 10.1016/j.ijpvp.2025.105692
Fuchun Zhang , Jun Tu , Xin Shen , Lisha Peng , Grzegorz Tytko , Xiaochun Song
Submarine oil and gas pipelines are prone to various types of corrosive defects during service, posing serious threats to structural integrity and operational safety. In traditional non-destructive testing (NDT), defect classification primarily relies on manual expertise, which is inefficient and susceptible to subjective interference. To address these challenges, this paper proposes a novel automatic detection and grading method for corrosion defects based on a multi-sensory attention network (MSANet). A unidirectional surface wave electromagnetic acoustic transducer (EMAT) is developed to enable defect data acquisition and localization. The raw surface wave signals are processed using Short-Time Fourier Transform (STFT) and denoised through an integrated filtering technique. For the first time in this field, a wavelet attention mechanism (WAT) module is innovatively introduced to extract feature information in the wavelet domain. Furthermore, a heterogeneous branch collaborative attention (HBA) module is designed to simultaneously capture multi-scale and multi-level features while enhancing feature transmission through attention mechanisms. A feature fusion strategy is then employed to integrate the deep features extracted from both modules, forming a comprehensive defect discrimination model. The proposed method is validated on a constructed dataset, and experimental results demonstrate an average recognition accuracy of 97.52 %, significantly outperforming existing mainstream deep learning algorithm.
海底油气管道在使用过程中容易出现各种腐蚀缺陷,对管道结构完整性和运行安全构成严重威胁。在传统的无损检测(NDT)中,缺陷分类主要依赖于人工专业知识,效率低下且容易受到主观干扰。为了解决这些问题,本文提出了一种基于多感官注意网络(MSANet)的腐蚀缺陷自动检测与分级方法。为了实现缺陷数据的采集和定位,研制了一种单向表面波电磁声换能器(EMAT)。原始表面波信号采用短时傅里叶变换(STFT)处理,并通过集成滤波技术去噪。在该领域首次创新性地引入了小波注意机制(WAT)模块来提取小波域的特征信息。在此基础上,设计了异构分支协同注意(HBA)模块,实现多尺度、多层次特征的同步捕获,并通过注意机制增强特征的传递。然后采用特征融合策略对两个模块提取的深度特征进行融合,形成综合缺陷识别模型。在构建的数据集上对该方法进行了验证,实验结果表明,该方法的平均识别准确率为97.52%,显著优于现有主流深度学习算法。
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引用次数: 0
A probabilistic-based numerical modeling of natural gas pipelines with random corrosion morphology 随机腐蚀形态天然气管道的概率数值模拟
IF 3.5 2区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2025-10-30 DOI: 10.1016/j.ijpvp.2025.105696
Yihuan Wang , Yubo Yang , Jianjun Qin , Yinghao Sun , Guojin Qin
This study presents a probabilistic-based method for modeling realistic corrosion morphology on natural gas pipelines with the random field node mapping coupling (RF-NMC) model. An anisotropic random field is used to reconstruct mesh geometry through node-level random displacement. High-precision mesh deformation and local coordinate mapping enable adaptive geometric transformation. This ensures an accurate representation of corrosion features. The model is embedded in a finite element (FE) modeling to achieve precise, fast, and flexible prediction of failure pressure and identify failure paths. Compared with simplified geometry models, the RF-NMC approach significantly improves the accuracy of failure pressure predictions, as confirmed by burst tests. The method strikes a balance between accuracy and computational efficiency, allowing for the quick simulation of complex corrosion geometries while maintaining reliability. The main novelty lies in directly coupling anisotropic random fields with FE mesh nodes. The proposed method's automation potential is expected to support lifecycle integrity management of pipelines.
提出了一种利用随机场节点映射耦合(RF-NMC)模型对天然气管道实际腐蚀形态进行概率建模的方法。利用各向异性随机场通过节点级随机位移重建网格几何。高精度网格变形和局部坐标映射实现自适应几何变换。这确保了腐蚀特征的准确表示。该模型嵌入到有限元(FE)模型中,实现了对失效压力的精确、快速、灵活的预测和失效路径的识别。与简化的几何模型相比,RF-NMC方法显著提高了失效压力预测的准确性,爆破试验证实了这一点。该方法在精度和计算效率之间取得了平衡,可以在保持可靠性的同时快速模拟复杂的腐蚀几何形状。其主要新颖之处在于将各向异性随机场与有限元网格节点直接耦合。该方法的自动化潜力有望支持管道的生命周期完整性管理。
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引用次数: 0
期刊
International Journal of Pressure Vessels and Piping
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