International Journal of Pressure Vessels and Piping最新文献_第2页

TFA_Net: A time-frequency attention network for enhancing defect recognition and noise robustness in ultrasonic guided wave pipeline inspection TFA_Net：一种增强超声导波管道缺陷识别和噪声鲁棒性的时频注意网络

IF 3.5 2区工程技术 Q2 ENGINEERING, MECHANICAL

International Journal of Pressure Vessels and Piping

Pub Date : 2025-12-25 DOI: 10.1016/j.ijpvp.2025.105735

Yunliang Zhao , Donglin Tang , Chao Ding , Heng Cheng

Ultrasonic guided wave-based pipeline defect detection is crucial for achieving efficient and cost-effective structural health monitoring of pipelines. However, signal attenuation and noise interference during wave propagation severely hinder the accurate identification of defect signals. To address this challenge, a Time-Frequency Attention Network (TFA_Net) is proposed, integrating time-frequency domain signal processing with deep learning techniques to improve defect recognition accuracy and enhance noise robustness in ultrasonic guided wave signals. First, the Ultrasonic Guided Wave Defect Dataset (UGW-Dataset) was established, including experimental and simulated data, covering cracks and corrosion defects of various sizes and shapes. Next, a time-frequency attention block (TFA_Block) was designed in TFA_Net to perform multi-scale feature extraction in both time and frequency domains, enabling effective capture of global and local characteristics of defect signals. Experimental results demonstrate that TFA_Net achieves a defect recognition accuracy of 99.4 % on the UGW-Dataset, confirming its exceptional feature extraction and defect recognition capabilities. Furthermore, TFA_Block significantly enhances the robustness of TFA_Net within the signal-to-noise ratio (SNR) range from 40 dB to 10 dB, effectively mitigating the negative impact of noise on recognition accuracy. This study provides an efficient and noise-resilient approach for defect recognition in pipeline structural health monitoring (SHM).

超声导波管道缺陷检测是实现高效、经济的管道结构健康监测的关键。然而，波传播过程中的信号衰减和噪声干扰严重阻碍了缺陷信号的准确识别。为了解决这一挑战，提出了一种时频注意网络（TFA_Net），将时频域信号处理与深度学习技术相结合，以提高超声导波信号的缺陷识别精度和增强噪声鲁棒性。首先，建立了超声导波缺陷数据集（UGW-Dataset），包括实验数据和模拟数据，涵盖了不同尺寸和形状的裂纹和腐蚀缺陷。其次，在TFA_Net中设计时频注意块（TFA_Block），在时域和频域进行多尺度特征提取，有效捕获缺陷信号的全局和局部特征；实验结果表明，TFA_Net在ugw数据集上的缺陷识别准确率达到99.4%，验证了其出色的特征提取和缺陷识别能力。此外，在信噪比（SNR）为40 ~ 10 dB的范围内，TFA_Block显著增强了TFA_Net的鲁棒性，有效缓解了噪声对识别精度的负面影响。该研究为管道结构健康监测中的缺陷识别提供了一种有效且抗噪声的方法。

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引用次数: 0

Fracture toughness estimation from notched small punch test using 3D-DIC 用3D-DIC估算缺口小冲孔试验的断裂韧性

IF 3.5 2区工程技术 Q2 ENGINEERING, MECHANICAL

International Journal of Pressure Vessels and Piping

Pub Date : 2025-12-25 DOI: 10.1016/j.ijpvp.2025.105737

Abdul Rahman Shaik , V. Karthik , Aishwary Vardhan Pandey , R. Divakar

The deformation behaviour of a small punch (SP) test specimen with a longitudinal notch is investigated using finite element (FE) simulations and three-dimensional digital image correlation (3D-DIC) technique. The sensitivity of the SP test to notch geometry such as notch depth, width, and tip radius with regard to the force–deflection response and stress triaxiality are assessed through FE simulations. The integration of stereo-DIC with the SP test setup enabled real-time tracking of notch mouth opening displacement (δ_SPT) via a virtual extensometer. Through FE simulation and experiments, the trends of δ_SPT for different ductile materials such as 316LN stainless steel, Modified 9Cr-1Mo steel, and Fe-3.5Ni steel indicated that maximum δ_SPT consistently occurred at a radial distance of 0.61–0.62 mm from the specimen center. The crack initiation site was confirmed, via scanning electron microscopy examination of deformed specimens from interrupted tests, to occur at the same radial location. A linear correlation was established between δ_SPT at the onset of plastic instability and the crack tip opening displacement δ_Ic derived from standard single-edge notched bend tests. Notched SP specimens, when combined with DIC and supported by FE modeling, can effectively characterize fracture initiation behaviour. However, the differences in stress state, notch sharpness, and crack driving force must be carefully considered for accurate correlation with standard fracture toughness parameters and reliable application across different material systems.

采用有限元（FE）模拟和三维数字图像相关（3D-DIC）技术研究了带纵向缺口的小型冲压件（SP）试样的变形行为。通过有限元模拟评估了SP测试对缺口几何形状（如缺口深度、宽度和尖端半径）对力-挠度响应和应力三轴性的敏感性。立体dic与SP测试装置的集成可以通过虚拟延伸计实时跟踪缺口开口位移（δSPT）。通过有限元模拟和实验，316LN不锈钢、改性9Cr-1Mo钢和FE -3.5 ni钢等不同韧性材料的δSPT变化趋势表明，δSPT最大值一致出现在距试样中心径向距离0.61 ~ 0.62 mm处。通过扫描电子显微镜对中断试验的变形试样进行检查，确认裂纹起裂位置发生在同一径向位置。在塑性失稳开始时的δSPT与标准单边缺口弯曲试验得出的裂纹尖端张开位移δIc之间建立了线性相关关系。缺口SP试样与DIC结合并辅以有限元模拟，可以有效表征断裂起裂行为。然而，必须仔细考虑应力状态、缺口锐度和裂纹驱动力的差异，以便与标准断裂韧性参数准确相关，并在不同材料体系中可靠地应用。

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引用次数: 0

IF 3.5 2区工程技术 Q2 ENGINEERING, MECHANICAL

International Journal of Pressure Vessels and Piping

Pub Date : 2025-12-20 DOI: 10.1016/j.ijpvp.2025.105732

Niraj Kumar , Prakash Kumar , Dariusz Fydrych , Chandan Pandey

This research work investigates the dissimilar Gas Metal Arc welding (GMAW) of Inconel 718 (IN718) and austenitic stainless steel (ASS304L), utilizing Ni-based filler materials (FMs) ERNiCrCoMo-1 and ERNiCr-3. The dissimilar welds were evaluated for microstructural and mechanical properties performance for high-temperature service conditions. Optical microscopy reveals a partially melted zone (PMZ) and an unmixed zone (UZ) at the weld interfaces, along with the evolution of columnar, cellular, and equiaxed dendritic structures within the weld metals (WMs). The WMs indicate the micro segregation of the weld metal (WM) alloying elements in the form of secondary phases. Scanning Electron Microscope (SEM) equipped with Energy-Dispersive Spectroscopy (EDS) analysis of the weld precipitates indicated that they were enriched in Cr, Mo, and Co-rich carbide phases, which were present in the ERNiCrCoMo-1 WM. Whereas ERNiCr-3 experiences the occurrence of NbC, Ti (C, N), and Cr₂₃C₆ phases along the interdendritic spaces. Electron Backscatter Diffraction (EBSD) results highlight the coarse weld microstructures of ERNiCr-3 WM than the ERNiCrCoMo-1 WM. The weld metal microstructures exhibit an improvement in crystallographic texture than the HAZ and base materials (BMs) analysed by inverse pole figures (IPF) and pole figures (PF) maps. The Vickers microhardness of ERNiCrCoMo-1 WM, compared to ERNiCr-3 WM. Room-temperature tensile testing revealed superior performance of ERNiCrCoMo-1 welds (UTS: 690 MPa) over ERNiCr-3 (UTS: 640 MPa). Fractographic SEM indicated ductile fracture for ERNiCrCoMo-1 (failure at ASS304L BM), while ERNiCr-3 failed within the WM, showing mixed-mode features and interdendritic NbC-induced brittleness. At ambient temperature, Charpy impact testing indicated significantly higher toughness in the ERNiCr-3 weld than in the ERNiCrCoMo-1 weld, with both exceeding the 47 J threshold per EN ISO 3580:2017. The impact specimens showed fine dimples and ductile features at the heat-affected zones, with relatively brittle fracture features at the weld center.

本文研究了镍基填充材料ERNiCrCoMo-1和ERNiCr-3对铬镍铁合金718 （IN718）和奥氏体不锈钢（ASS304L）的异种气体保护焊（GMAW）。在高温使用条件下，对不同焊缝的显微组织和力学性能进行了评价。光学显微镜显示，在焊缝界面处存在部分熔化区（PMZ）和未混合区（UZ），以及焊缝金属（WMs）内柱状、细胞状和等轴枝晶结构的演变。焊缝金属（WM）合金元素以二次相的形式发生微观偏析。通过扫描电镜（SEM）和能谱分析（EDS）对焊缝析出相进行分析，发现焊缝析出相中富集了ERNiCrCoMo-1 WM中存在的Cr、Mo和co富碳化物相。而ERNiCr-3则沿枝晶间隙出现NbC、Ti （C， N）和Cr23C6相。电子背散射衍射（EBSD）结果表明，ERNiCr-3焊条焊缝组织比ERNiCrCoMo-1焊条焊缝组织粗糙。焊缝金属显微组织的晶体织构比用反极图（IPF）和极图（PF）分析的热影响区和基材（BMs）有明显改善。与ERNiCr-3 WM相比，ERNiCrCoMo-1 WM的维氏显微硬度。室温拉伸试验表明，ERNiCrCoMo-1焊缝（UTS: 690 MPa）优于ERNiCr-3焊缝（UTS: 640 MPa）。断口SEM显示ERNiCrCoMo-1的韧性断裂（在ASS304L BM处失效），而ERNiCr-3在WM内失效，表现出混合模式特征和枝晶间nbc诱导的脆性。在环境温度下，Charpy冲击试验表明，ERNiCr-3焊缝的韧性明显高于ERNiCrCoMo-1焊缝，均超过了EN ISO 3580:2017规定的47j阈值。冲击试样在热影响区表现出细小的韧窝和延性特征，焊缝中心呈现相对脆性断裂特征。

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引用次数: 0

Root cause analysis of corrosion-induced perforation in a natural gas pipeline elbow 天然气管道弯头腐蚀穿孔的根本原因分析

IF 3.5 2区工程技术 Q2 ENGINEERING, MECHANICAL

International Journal of Pressure Vessels and Piping

Pub Date : 2025-12-20 DOI: 10.1016/j.ijpvp.2025.105708

Wanying Liu , Zeyang Lin , Xinyu Zhu , Yu Lu , Zhi Zhang , Yongbo Yan , Zuoyuan Fan , Yusi Zhu

The corrosion-induced perforation of a 20# steel elbow in a natural gas pipeline was investigated by systematic failure analysis. Experimental methods included macro- and micro-examination, chemical and mechanical testing, microstructural characterization, and corrosion products analysis including EDS/XRD/XPS along with electrochemical measurements. Results indicate that Si and C equivalents do not meet the requirements of GB/T 9711–2017. The elbow material has the characteristics of high strength and low toughness. Microscopic organization inhomogeneity and non-metallic inclusion (Al₂O₃/SiO₂) enrichment phenomenon existed in the perforation area. That induced the microelectrochemical corrosion. Loose corrosion products were FeCO₃, Fe₃O₄ and FeOOH. Under the synergistic effect of CO₂, Cl⁻ invasion and sand particle scouring, the corrosion initiated from the inner wall of the elbow and extended stepwise to outside, which eventually led to perforation of the pipe wall. The failure is ascribed to the pitting perforation caused by the synergistic effect of material defects, corrosive medium and mechanical factors. The corrosion mechanism is the interaction of electrochemical corrosion and impingement corrosion.

采用系统失效分析方法对某天然气管道20#钢弯头腐蚀穿孔进行了研究。实验方法包括宏观和微观检查，化学和力学测试，微观结构表征，以及腐蚀产物分析，包括EDS/XRD/XPS以及电化学测量。结果表明，Si和C当量不符合GB/T 9711-2017的要求。弯头材料具有高强度、低韧性的特点。孔洞区存在微观组织不均匀性和非金属夹杂物（Al2O3/SiO2）富集现象。这引起了微电化学腐蚀。松散腐蚀产物为FeCO3、Fe3O4和FeOOH。在CO2、Cl−侵入和砂粒冲刷的协同作用下，腐蚀从弯管内壁开始，逐步向外扩展，最终导致管壁穿孔。失效原因为材料缺陷、腐蚀介质和机械因素协同作用导致的点蚀穿孔。腐蚀机理是电化学腐蚀和冲击腐蚀共同作用的结果。

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引用次数: 0

An enhanced ultrasonic total focusing method combining pulse compression and phase coherence for thick-walled metal structures 一种结合脉冲压缩和相位相干的厚壁金属结构增强超声全聚焦方法

IF 3.5 2区工程技术 Q2 ENGINEERING, MECHANICAL

International Journal of Pressure Vessels and Piping

Pub Date : 2025-12-19 DOI: 10.1016/j.ijpvp.2025.105736

Yuxuan Wu, Cuixiang Pei, Zhenmao Chen

Ultrasonic total focusing imaging method (TFM) with using full matrix capture (FMC) has been widely used for high-resolution imaging of internal flaws in metal structures. However, the detection ability of the ultrasonic TFM for deep and small flaw in thick structures is limited, due to the limited signal energy with a single excitation element in each testing. In this paper, an enhanced ultrasonic TFM with pulse compression and phase coherence is proposed for small flaw inspection in thick-walled structures. Numerical simulations are performed to validate the feasibility of combining pulse compression and phase coherence to enhance the performance of TFM. Furthermore, an enhanced ultrasonic TFM testing system is developed. Experimental results demonstrate that the both the SNR and detecting sensitivity for small flaws in thick-walled structures are significantly improved with the proposed method.

采用全矩阵捕获技术的超声全聚焦成像方法（TFM）已广泛应用于金属结构内部缺陷的高分辨率成像。然而，由于每次检测中单个激发元件的信号能量有限，超声波TFM对厚结构中深、小缺陷的检测能力受到限制。本文提出了一种具有脉冲压缩和相位相干的增强超声TFM方法，用于厚壁结构的小缺陷检测。通过数值仿真验证了将脉冲压缩与相位相干相结合来提高TFM性能的可行性。在此基础上，研制了一种增强型超声TFM检测系统。实验结果表明，该方法显著提高了厚壁结构小缺陷的信噪比和检测灵敏度。

引用次数: 0

Electrochemical corrosion behavior of X80 pipeline steel in acidic and alkaline soil leachates X80管线钢在酸性和碱性土壤渗滤液中的电化学腐蚀行为

IF 3.5 2区工程技术 Q2 ENGINEERING, MECHANICAL

International Journal of Pressure Vessels and Piping

Pub Date : 2025-12-19 DOI: 10.1016/j.ijpvp.2025.105733

Wenhui Liu , Chenkai Xu , Honghui Chen , You Zhang

This study investigates the electrochemical corrosion behavior of X80 pipeline steel immersed in soil leachates from Hami and Yingtan regions. The corrosion behavior of X80 steel in alkaline (Hami) and acidic (Yingtan) soil leachates was evaluated by electrochemical tests (Polarization and WBE), surface analysis (SEM/EDS, XRD) and SKP mapping. Results indicate Hami soil's alkaline leachate promotes protective films and iron oxide/hydroxide formation, while Yingtan soil's acidic leachate induces hydrogen evolution corrosion. Hami-exposed samples show substantial corrosion product accumulation in 7 days. The heat-affected zone (HAZ) initially exhibits the highest corrosion tendency, decreasing with time, contrasting with accelerated corrosion in the base metal (BM) and intermediate response in weld metal (WM). This study offers insights into X80 pipeline steel's corrosion mechanisms in different soils, emphasizing local soil conditions' crucial role in corrosion behavior.

研究了X80管线钢在哈密和鹰潭地区土壤渗滤液中的电化学腐蚀行为。采用电化学测试（极化和WBE）、表面分析（SEM/EDS、XRD）和SKP作图等方法评价X80钢在碱性（哈密）和酸性（鹰滩）土壤渗滤液中的腐蚀行为。结果表明：哈密土壤的碱性渗滤液促进保护膜和氧化铁/氢氧化物的形成，鹰潭土壤的酸性渗滤液则促进析氢腐蚀。hami暴露的样品在7天内显示出大量的腐蚀产物积累。热影响区（HAZ）最初表现出最高的腐蚀倾向，随着时间的推移而降低，与母材（BM）的加速腐蚀和焊缝金属（WM）的中间反应形成对比。本研究揭示了X80管线钢在不同土壤中的腐蚀机制，强调了当地土壤条件在腐蚀行为中的关键作用。

引用次数: 0

A magneto-mechanical model for X80 pipeline steel considering elastoplastic deformation 考虑弹塑性变形的X80管线钢磁力学模型

IF 3.5 2区工程技术 Q2 ENGINEERING, MECHANICAL

International Journal of Pressure Vessels and Piping

Pub Date : 2025-12-16 DOI: 10.1016/j.ijpvp.2025.105731

Yukun Li , Shuang Zhao , Lu Jiang , Yi Li , Xinlei Wu , Siyuan Ren , Baipeng Ding , Buyun Huang

X80 pipeline steel is widely used in long-distance oil and gas transportation due to its high strength and toughness. However, reducing wall thickness to cut costs can lead to stress concentration during forming and under external loads. Since stress can significantly alter the magnetic properties of ferromagnetic materials, magnetic characterization techniques provide a promising approach for stress evaluation; Nevertheless, variations in magnetic parameters caused by plastic strain introduce challenges in accurate stress assessment. In this study, we performed a series of uniaxial tension tests to introduce different levels of plastic strain and identified two hardening stages: an internal stress-dominated stage and a dislocation density-dominated stage. Corresponding models were used to describe their influence on magnetic behavior. Based on the energy minimization principle, the relationship between coercivity and stress under uniaxial loading was derived. A magneto-mechanical behavior model for the elastoplastic stage was then established by incorporating the effect of internal stress and dislocation density. The coercivity variation under combined elastic-plastic deformation was subsequently analyzed. Theoretical predictions show good agreement with experimental results, and a representative example was presented to demonstrate the model's applicability in engineering contexts.

X80管道钢因其高强度、高韧性而广泛应用于油气长距离输送。然而，减少壁厚以降低成本可能会导致在成形和外部负载下的应力集中。由于应力可以显著改变铁磁材料的磁性，磁表征技术为应力评估提供了一种很有前途的方法；然而，由塑性应变引起的磁参数变化给准确的应力评估带来了挑战。在这项研究中，我们进行了一系列单轴拉伸试验，以引入不同水平的塑性应变，并确定了两个硬化阶段：内应力主导阶段和位错密度主导阶段。用相应的模型描述了它们对磁性行为的影响。基于能量最小化原理，推导了单轴载荷下矫顽力与应力的关系。考虑内应力和位错密度的影响，建立了弹塑性阶段的磁-力学行为模型。分析了弹塑性复合变形下矫顽力的变化规律。理论预测结果与实验结果吻合较好，并通过典型算例验证了该模型在工程中的适用性。

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引用次数: 0

Creep–fatigue behavior and damage analysis of long-serviced P92 martensitic steel under deep peak-shaving conditions P92马氏体钢在深削峰条件下蠕变疲劳行为及损伤分析

IF 3.5 2区工程技术 Q2 ENGINEERING, MECHANICAL

International Journal of Pressure Vessels and Piping

Pub Date : 2025-12-11 DOI: 10.1016/j.ijpvp.2025.105728

Qinghui Zhang , Baoyin Zhu , Xiao Jin , Dongfeng Li , Gaocan Luan , Shuitao Gu , Gongye Zhang , Hongjun Liu

Flexible operation for deep peak-shaving has shifted the degradation of main-steam piping from being creep-dominated to a pronounced creep-fatigue interaction. This study investigates the creep-fatigue behavior of long-serviced P92 steel taken from a main steam pipe after approximately 90,000 h in service at 605 °C. Strain-controlled creep-fatigue tests with varied strain amplitude, tensile hold time and strain ratio are conducted to characterize cyclic response. The results indicate that the material generally exhibits a three-stage cyclic softening behavior. Increasing strain amplitude and hold time significantly accelerates softening, enhances time-dependent strain accumulation and reduces life, whereas a higher strain ratio suppresses inelastic strain accumulation and improves life. A non-unified constitutive framework, combined with a strain energy density exhaustion model based on a cycle-by-cycle concept, successfully captures the observed cyclic responses and life trends. This study elucidates the competitive failure mechanisms of long-serviced P92 steel under creep-fatigue loading conditions, providing essential data and analytical methods for reliable engineering assessments.

深度调峰的灵活操作将主蒸汽管道的退化从蠕变为主转变为明显的蠕变-疲劳相互作用。本研究研究了从主蒸汽管道中提取的P92钢在605°C下使用约90,000小时后的蠕变疲劳行为。通过不同应变幅值、拉伸保持时间和应变比的应变控制蠕变疲劳试验来表征循环响应。结果表明，该材料总体上表现为三阶段循环软化行为。增加应变幅值和保持时间可显著加速软化，增加随时间变化的应变积累，降低寿命，而提高应变比可抑制非弹性应变积累，提高寿命。一个非统一的本构框架，结合基于循环概念的应变能密度耗尽模型，成功地捕获了观察到的循环响应和寿命趋势。本研究阐明了长期服役的P92钢在蠕变疲劳载荷条件下的竞争性失效机制，为可靠的工程评估提供了必要的数据和分析方法。

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引用次数: 0

A design approach for wire-wound ultra-high pressure vessels in isostatic pressing systems based on constant von Mises stress criterion 基于恒von Mises应力准则的等静压系统线绕超高压容器设计方法

IF 3.5 2区工程技术 Q2 ENGINEERING, MECHANICAL

International Journal of Pressure Vessels and Piping

Pub Date : 2025-12-11 DOI: 10.1016/j.ijpvp.2025.105730

Yubo Huang , Zhengchi Li , Zhoujin Lv , Wen Qi , Chenghong Duan , Bao Wang

The prestressed wire-winding technique is widely employed in the design of ultra-high pressure vessels for isostatic pressing equipment, with the primary objective of providing the cylindrical body with a prestress to enhance structural safety. Conventional design approaches are mostly based on the Tresca strength criterion, ensuring that the wound wire sustains a constant Tresca equivalent stress (i.e., constant shear stress) under working conditions. However, the Tresca theory is relatively conservative, which limits the full utilization of the mechanical properties of the wire material and fails to accurately characterize its failure behavior. In this study, a design method for constant von Mises stress winding was derived and refined based on the differential equations of mechanical equilibrium for the wire-wound layers. A power-law polynomial fitting of the stress distribution curve was further introduced to simplify the computational procedure. The proposed method is applicable to various types of wire-wound vessels, with R² exceeding 0.999 for the fitted results. A case study on a 600 MPa ultra-high pressure vessel was carried out to validate the effectiveness of the proposed design method through finite element simulations. The von Mises stresses of the wires under working condition were uniformly distributed, and the relative deviation from the designed values was less than 3.5 %. Compared with the constant shear stress winding approach, the constant von Mises stress design reduced the average design stress of the wire by 8 % and saved approximately 25 % of wire material under the same vessel configuration, demonstrating significant advantages in both performance and efficiency.

预应力钢丝缠绕技术广泛应用于等静压设备超高压容器的设计中，其主要目的是为圆柱体提供预应力，以提高结构的安全性。传统的设计方法大多基于Tresca强度准则，确保绕丝在工作条件下保持恒定的Tresca等效应力（即恒定剪切应力）。然而，Tresca理论相对保守，限制了线材力学性能的充分利用，无法准确表征线材的破坏行为。本文基于线绕层力学平衡的微分方程，推导并改进了恒von Mises应力绕组的设计方法。为了简化计算过程，进一步引入了应力分布曲线的幂律多项式拟合。该方法适用于各种类型的绕丝血管，拟合结果R2均超过0.999。以某600 MPa超高压容器为例，通过有限元仿真验证了所提设计方法的有效性。试件在工作状态下的von Mises应力分布均匀，与设计值的相对偏差小于3.5%。与恒定剪切应力缠绕方法相比，在相同容器配置下，恒定冯米塞斯应力设计将线材的平均设计应力降低了8%，节省了约25%的线材，在性能和效率方面都具有显著优势。

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引用次数: 0

Inferring mechanical behavior from physical properties based on multiscale microstructure evolution and deep learning 基于多尺度微观结构演化和深度学习的物理性质推断力学行为

IF 3.5 2区工程技术 Q2 ENGINEERING, MECHANICAL

International Journal of Pressure Vessels and Piping

Pub Date : 2025-12-09 DOI: 10.1016/j.ijpvp.2025.105729

Menglin Gao , Shengjun Xia , Chunfa Huang , Xing Hu , Shuaiheng Liang , Wenlu Zhang , Ziqiang Wang , Wei Liu , Qiulin Li

In-service assessment of structural material degradation, whose essence is to infer mechanical behavior from physical properties, is crucial for infrastructure safety. Machine learning offers a promising approach for establishing quantitative relationships between physical and mechanical properties, but its application in specific engineering fields is challenged by insufficient experimental data. Here, we propose a novel data augmentation method based on multiscale microstructure evolution. Specifically, high-throughput scanning electron microscopy combined with a U-Net model was employed to quantitatively analyze precipitate evolution during creep degradation. Additionally, cross-scale characterization techniques were integrated to acquire grain size and dislocation density information. Computational models correlating microstructural features with physical and mechanical properties were developed to enable data augmentation. Finally, we present a multi-fidelity neural network that integrates generated low-fidelity data with experimental high-fidelity data, achieving high prediction accuracy and generalizability. This work provides a new framework for developing in-service assessments of material properties, demonstrating broad applicability, while acknowledging that the current high-fidelity dataset is limited and future data will further strengthen statistical robustness.

结构材料在役退化评估对基础设施安全至关重要，其本质是通过物理性能推断力学行为。机器学习为建立物理和机械性能之间的定量关系提供了一种很有前途的方法，但其在特定工程领域的应用受到实验数据不足的挑战。本文提出了一种基于多尺度微观结构演化的数据增强方法。具体而言，采用高通量扫描电镜结合U-Net模型定量分析蠕变降解过程中的沉淀演变。此外，还集成了跨尺度表征技术来获取晶粒尺寸和位错密度信息。开发了将微观结构特征与物理和机械性能相关联的计算模型，以增强数据。最后，我们提出了一种多保真度神经网络，将生成的低保真度数据与实验的高保真度数据相结合，实现了较高的预测精度和泛化能力。这项工作为开发材料性能的在职评估提供了一个新的框架，展示了广泛的适用性，同时承认当前的高保真数据集是有限的，未来的数据将进一步加强统计稳健性。

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引用次数: 0