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A probabilistic creep damage model for studying the dispersion of small punch creep test and uniaxial tensile creep test 研究小冲孔蠕变试验和单轴拉伸蠕变试验分散性的概率蠕变损伤模型
IF 3.5 2区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2026-08-01 Epub Date: 2026-01-28 DOI: 10.1016/j.ijpvp.2026.105764
Manlin Huang , Jinyuan Wu , Yihan Wang , Jiru Zhong , Kaishu Guan , Bintao Yu
Creep is a dominant failure mode for high-temperature structural components and is inherently characterized by pronounced scatter. However, creep constitutive models capable of describing probabilistic creep rupture remain limited. In this work, the microvoid growth mechanism and statistical distribution characteristics are incorporated into the creep damage accumulation process, then a probabilistic creep damage model is developed. Combined with a Monte Carlo simulation strategy, the proposed model is applied to investigate the scatter in small punch creep tests (SPCT) and uniaxial tensile creep tests of P91 steel. It is found that the 95 % confidence interval of the rupture life predicted for SPCT agrees closely with the experimentally measured 95 % confidence interval from the European Union Joint Research Centre Materials Database engineering materials database, demonstrating that this model can effectively quantify the uncertainty in SPCT rupture life. In addition, the model successfully reproduces the statistical difference in scatter between the two test types, showing that the 95 % confidence interval width of SPCT rupture life is approximately 1.3 times that of uniaxial tensile creep tests data. The proposed probabilistic creep damage model and the associated simulation methodology provide a new theoretical tool for creep data analysis and life prediction, and are of significant engineering value for ensuring highly reliable service of high-temperature components.
蠕变是高温结构构件的主要破坏模式,其固有特征是明显的散射。然而,能够描述概率蠕变破裂的蠕变本构模型仍然有限。本文将微孔隙的生长机理和统计分布特征纳入蠕变损伤累积过程,建立了概率蠕变损伤模型。结合蒙特卡罗模拟策略,应用该模型对P91钢的小冲孔蠕变试验(SPCT)和单轴拉伸蠕变试验中的散射进行了研究。结果表明,SPCT断裂寿命预测的95%置信区间与欧盟联合研究中心材料数据库工程材料数据库中实测的95%置信区间吻合较好,表明该模型能有效量化SPCT断裂寿命的不确定性。此外,该模型成功再现了两种试验类型之间的统计散点差异,表明SPCT断裂寿命的95%置信区间宽度约为单轴拉伸蠕变试验数据的1.3倍。所提出的概率蠕变损伤模型及其仿真方法为蠕变数据分析和寿命预测提供了新的理论工具,对保证高温部件的高可靠性使用具有重要的工程价值。
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引用次数: 0
Ball indentation test: A versatile small-scale testing method for evaluating mechanical properties of materials 球压痕试验:一种评价材料机械性能的通用小尺度试验方法
IF 3.5 2区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2026-06-01 Epub Date: 2026-01-03 DOI: 10.1016/j.ijpvp.2025.105740
M.D. Mathew , J. Ganesh Kumar , K. Linga Murty
The ball indentation (BI) technique is a versatile and efficient small-scale testing method employed to assess the mechanical properties of metallic materials. In this method, a compressive force is gradually applied to a spherical indenter, which is pressed onto the material’s surface until a predetermined indentation depth is achieved. The indenter is then partially unloaded and reloaded. This loading-unloading cycle is repeated several times at incrementally increasing depths. Throughout the test, the indentation depth and the corresponding load are measured. This data is used to generate a load-depth curve. By combining semi-empirical relationships with elasticity and plasticity theories, this analysis yields the stress-strain curve that is characteristic of the material’s response to multiaxial indentation loading.
Key mechanical properties derived from the BI tests include hardness, flow curve, yield strength, ultimate tensile strength, and indentation energy to fracture. This testing method facilitates localized, point-to-point assessment of the mechanical properties of metallic materials. The technique is advantageous in evaluating narrow microstructural zones within weldments. The test method is minimally invasive as well. This makes ball indentation testing attractive for assessing the mechanical properties of structural components in service and for extending their life without compromising component integrity. The paper discusses a range of BI applications. Theoretical models, AI-assisted data analysis, portable in-situ BI system, and other critical issues, as well as future scenarios, are also discussed.
球压痕(BI)技术是一种多功能、高效的小型测试方法,用于评估金属材料的力学性能。在这种方法中,压缩力逐渐施加到球形压头上,压在材料表面上,直到达到预定的压痕深度。然后部分卸载和重新加载压头。这种加载-卸载循环在逐渐增加的深度上重复数次。在整个试验过程中,测量了压痕深度和相应的载荷。该数据用于生成负载-深度曲线。通过将半经验关系与弹性和塑性理论相结合,该分析得出了材料对多轴压痕载荷响应的特征应力-应变曲线。BI测试的主要力学性能包括硬度、流动曲线、屈服强度、极限抗拉强度和压痕断裂能。这种测试方法便于对金属材料的机械性能进行局部、点对点的评估。该技术有利于评估焊缝内狭窄的显微组织区域。这种检测方法也是微创的。这使得球压痕测试在评估使用中的结构部件的机械性能和延长其寿命而不影响部件完整性方面具有吸引力。本文讨论了一系列BI应用。理论模型,人工智能辅助数据分析,便携式原位BI系统,以及其他关键问题,以及未来的场景也进行了讨论。
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引用次数: 0
Effects of PWHT on microstructure and mechanical properties of the 5 % Ni steel MAG welded joints PWHT对5% Ni钢MAG焊接接头组织和力学性能的影响
IF 3.5 2区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2026-06-01 Epub Date: 2026-01-08 DOI: 10.1016/j.ijpvp.2026.105754
Zhiwei Zeng , Zhiqiang Zhang , Dongxue Jiang , Jialu Sun , Zhimeng Tian , Luyun Zhang , Henan Huang , Junwei Zhang
5 %Ni steel is a key material for manufacturing cryogenic storage tanks, which are designed to serve in low-temperature environments. However, welding reduces the low-temperature toughness of the structure, making it particularly important to improve the low-temperature impact toughness of welded joints. In this study, post-weld heat treatment tests were performed on MAG-welded joints of 5 % Ni steel employed in the tanks of very large ethane carriers. The effects of tempering temperatures (200–600 °C) on the microstructural evolution and changes in mechanical properties of the weld metal and heat-affected zone of the welded joint were investigated. The results indicate that weld metal consists of austenitic dendrites. Heat-affected zone primarily consists of bainite-ferrite, M-A constituents, and carbides. The fracture location of the welded joint was within the heat-affected zone. The yield strength, ultimate tensile strength, and elongation were 506 MPa, 679 MPa, and 20 %, respectively. The impact energy of the FL microregion at −140 °C is only 39 J. As the tempering temperature increases, BF undergoes recovery in the heat-affected zone. The redistribution of C leads to the gradual decomposition of the M-A constituent. Within the tempering temperature range of 200–500 °C, no significant changes were observed in the microhardness and tensile properties of the heat-affected zone. At a tempering temperature of 600 °C, the microhardness of the HAZ decreased by 5 % compared to the as-welded condition. Yield strength and ultimate tensile strength decreased by 7 % and 4 %, respectively. The impact toughness of the FL microregion increased by 215 % compared to the as-welded condition. This improvement is attributed to tempering enhancing the plasticity and toughness of the bainite-ferrite matrix while simultaneously reducing stress concentration caused by M-A constituents. Post-weld heat treatment improves the overall properties of welded joints. At a tempering temperature of 600 °C, the strength of the welded joint decreases slightly, but low-temperature impact toughness is significantly enhanced. According to the study, the optimal post-weld heat treatment temperature for MAG welded joints in 5 % Ni steel was determined to be 600 °C.
5%镍钢是制造低温储罐的关键材料,用于低温环境。然而,焊接降低了结构的低温韧性,因此提高焊接接头的低温冲击韧性就显得尤为重要。在本研究中,对超大型乙烷运输船储罐中使用的5% Ni钢的mag焊接接头进行了焊后热处理试验。研究了回火温度(200 ~ 600℃)对焊缝金属组织演变、力学性能变化及焊接接头热影响区的影响。结果表明,焊缝金属由奥氏体枝晶组成。热影响区主要由贝氏体-铁素体、M-A成分和碳化物组成。焊接接头的断裂位置在热影响区内。屈服强度为506 MPa,极限抗拉强度为679 MPa,延伸率为20%。FL微区在- 140℃时的冲击能仅为39 J.随着回火温度的升高,BF在热影响区发生了恢复。C的重新分配导致M-A成分逐渐分解。在200 ~ 500℃回火温度范围内,热影响区的显微硬度和拉伸性能没有明显变化。回火温度为600℃时,热影响区显微硬度较焊接状态下降5%。屈服强度和极限抗拉强度分别下降7%和4%。与焊接状态相比,FL微区的冲击韧性提高了215%。这种改善是由于回火提高了贝氏体-铁素体基体的塑性和韧性,同时减少了M-A成分引起的应力集中。焊后热处理改善了焊接接头的整体性能。回火温度为600℃时,焊接接头的强度略有下降,但低温冲击韧性明显增强。通过研究,确定了5% Ni钢MAG焊接接头的最佳焊后热处理温度为600℃。
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引用次数: 0
Investigation on the strength-ductility synergy in the laser-welded titanium/steel bimetallic sheets used for pressure vessels 压力容器用钛/钢双金属板激光焊接强度-延性协同效应研究
IF 3.5 2区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2026-06-01 Epub Date: 2026-01-10 DOI: 10.1016/j.ijpvp.2026.105758
Dejia Liu , Haitao Xiao , Guodong Lv , Yanchuang Tang , Shanguo Han
The welding of titanium/steel bimetallic sheets exhibits a great challenge owing to the formation of Fe-Ti intermetallic compounds, which can severely degrade the mechanical properties of the welded joint. In this paper, a FeCrNiCu filler metal was used for laser welding TA2/Q235 bimetallic sheets. The strength-ductility synergy and fracture behavior of the welded joint were investigated. A noteworthy finding was that the FeCrNiCu filler metal could generate a high mixing entropy value in the weld seam, which promoted the formation of a primarily face-centered cubic (FCC) phase and coarse grains within the weld seam. The negative enthalpy variation in the transition zones (TZs) on the TA2 layer resulted in phase structures predominantly composed of Fe2Ti, FCC, and α-Ti phases, accompanied by fine grains. Consequently, extremely high hardness values, ranging from 600 to 764 HV0.2 were observed in the TZ. The fragile zones of the welded joint shifted from the weld seam to the TZ, which played a significant role in promoting crack initiation and propagation in the welded joint during mechanical testing. The welded joint fabricated with the FeCrNiCu filler metal exhibited a favorable strength-ductility synergy. The strength coefficient of the welded joint was up to 92.5 %, with a fracture elongation of 6.9 %. Additionally, the welded joint demonstrated promising bending properties. A bending angle of 180° was achieved with no surface cracks observed on the weld seam during root bending tests (compressive stress on the TA2 layer).
钛/钢双金属板的焊接是一个很大的挑战,因为铁-钛金属间化合物的形成会严重降低焊接接头的力学性能。本文采用FeCrNiCu填充金属对TA2/Q235双金属薄板进行激光焊接。研究了焊接接头的强度-塑性协同效应和断裂行为。值得注意的是,FeCrNiCu钎料在焊缝中产生较高的混合熵值,促进了焊缝内主要面心立方相(FCC)和粗晶的形成。TA2层过渡区(TZs)的负焓变导致相结构主要由Fe2Ti、FCC和α-Ti相组成,并伴有细小晶粒。因此,在TZ中观察到极高的硬度值,范围从600到764 HV0.2。在力学试验过程中,焊接接头的脆性区域从焊缝向TZ移动,这对焊接接头裂纹的萌生和扩展起着重要的促进作用。用FeCrNiCu填充金属制作的焊接接头表现出良好的强度-塑性协同效应。焊接接头的强度系数高达92.5%,断裂伸长率为6.9%。此外,焊接接头显示出良好的弯曲性能。在根部弯曲试验(TA2层的压应力)中,焊缝的弯曲角度达到180°,未观察到表面裂纹。
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引用次数: 0
Intelligent prediction of crack stress intensity factors for nuclear-grade pressure vessels based on XFEM-PSONN collaboration 基于XFEM-PSONN协同的核级压力容器裂纹应力强度因子智能预测
IF 3.5 2区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2026-06-01 Epub Date: 2025-12-31 DOI: 10.1016/j.ijpvp.2025.105744
Kai Liu, WeiWei Liu, ShaoWei Wu, BoQun Xie, Xin Liu
The reactor pressure vessels (RPVs) are key components in nuclear power plants, and their structural integrity assessment is of great significance for the safe and stable operation of nuclear power plants. To address issues such as low computational efficiency and limited applicability of existing assessment methods, this study proposes an innovative collaborative prediction method based on the extended finite element method (XFEM) and the particle swarm optimization neural network (PSONN). This method enables rapid and accurate prediction of stress intensity factors (SIFs) under the combined influence of multiple parameters including crack geometric parameters, container structure dimensions and internal pressure. Firstly, a parametric model including typical crack configurations such as beltline shells and nozzle corners is established using XFEM, and a comprehensive database of SIFs is constructed. By systematically comparing the predictive performance of eight machine learning (ML) algorithms, a neural network model based on Particle Swarm Optimization is developed. And K-fold cross-validation and grid search techniques are adopted to optimize the model's hyperparameters. The interpretability analysis of SHAP indicates that internal pressure and crack inclination Angle are the most critical parameters affecting the prediction accuracy. By effectively integrating the physical accuracy of XFEM with the computational efficiency of PSONN, the proposed method provides a practical tool for rapid and accurate safety assessment upon crack detection in in-service inspections.
反应堆压力容器是核电站的关键部件,其结构完整性评估对核电站的安全稳定运行具有重要意义。针对现有评估方法计算效率低、适用性有限等问题,提出了一种基于扩展有限元法(XFEM)和粒子群优化神经网络(PSONN)的创新协同预测方法。该方法能够快速准确地预测裂纹几何参数、容器结构尺寸和内压等多种参数综合影响下的应力强度因子。首先,采用XFEM方法建立了包含带线壳和喷管角等典型裂纹形态的参数化模型,并构建了完整的SIFs数据库;通过系统比较八种机器学习算法的预测性能,建立了基于粒子群优化的神经网络模型。采用K-fold交叉验证和网格搜索技术对模型的超参数进行优化。SHAP的可解释性分析表明,内部压力和裂缝倾角是影响预测精度的最关键参数。该方法将XFEM的物理精度与PSONN的计算效率有效地结合起来,为在役检测中快速准确地进行裂纹检测安全评估提供了实用工具。
{"title":"Intelligent prediction of crack stress intensity factors for nuclear-grade pressure vessels based on XFEM-PSONN collaboration","authors":"Kai Liu,&nbsp;WeiWei Liu,&nbsp;ShaoWei Wu,&nbsp;BoQun Xie,&nbsp;Xin Liu","doi":"10.1016/j.ijpvp.2025.105744","DOIUrl":"10.1016/j.ijpvp.2025.105744","url":null,"abstract":"<div><div>The reactor pressure vessels (RPVs) are key components in nuclear power plants, and their structural integrity assessment is of great significance for the safe and stable operation of nuclear power plants. To address issues such as low computational efficiency and limited applicability of existing assessment methods, this study proposes an innovative collaborative prediction method based on the extended finite element method (XFEM) and the particle swarm optimization neural network (PSONN). This method enables rapid and accurate prediction of stress intensity factors (SIFs) under the combined influence of multiple parameters including crack geometric parameters, container structure dimensions and internal pressure. Firstly, a parametric model including typical crack configurations such as beltline shells and nozzle corners is established using XFEM, and a comprehensive database of SIFs is constructed. By systematically comparing the predictive performance of eight machine learning (ML) algorithms, a neural network model based on Particle Swarm Optimization is developed. And K-fold cross-validation and grid search techniques are adopted to optimize the model's hyperparameters. The interpretability analysis of SHAP indicates that internal pressure and crack inclination Angle are the most critical parameters affecting the prediction accuracy. By effectively integrating the physical accuracy of XFEM with the computational efficiency of PSONN, the proposed method provides a practical tool for rapid and accurate safety assessment upon crack detection in in-service inspections.</div></div>","PeriodicalId":54946,"journal":{"name":"International Journal of Pressure Vessels and Piping","volume":"221 ","pages":"Article 105744"},"PeriodicalIF":3.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145877098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Stress distribution characteristics and intelligent online monitoring methods for multilayer wound pressure vessel 多层缠绕压力容器应力分布特征及智能在线监测方法
IF 3.5 2区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2026-06-01 Epub Date: 2025-12-30 DOI: 10.1016/j.ijpvp.2025.105742
Ruiyuan Xue , Xuezong Zhang , Juyin Zhang , Xueping Wang , Yongnan Zhang , Linbin Li , Yongzhi Luo
A digital twin-driven online stress prediction method is proposed to address the stress monitoring requirements for multi-layer wrapped high-pressure hydrogen storage vessels. This method establishes a phased computational framework (offline/online): During the offline phase, the global stress field is computed using the Finite Element Method (FEM), and a random forest hybrid regression prediction model incorporating the whale optimization algorithm (WOA-RF) is trained to establish the mapping relationship between container load, structural features, node coordinates, and stress. During the online phase, the deviation between measured local stresses and offline-predicted stresses is first calculated. Subsequently, a K-Nearest Neighbors (KNN) algorithm constructs a surrogate model linking load-node coordinates to stress deviation. Ultimately, the KNN model is driven by locally acquired real-time measurement data, utilizing its output stress deviation to perform real-time corrections on WOA-RF prediction results, thereby achieving global twin stress prediction for the monitored vessel. To establish a more accurate finite element model during the offline phase, this paper innovatively derives a method for inverting interlayer preload in multilayer vessels based on measured data. Verification conducted on a multi-layer wrapped high-pressure reactor demonstrated that the proposed stress monitoring method achieved prediction errors ranging from 0.4 % to 10 %. Furthermore, the findings elucidate the random and non-uniform stress distribution characteristics exhibited by multi-layer wrapped vessels under loading, which stem from the complex interlayer preload generated during the manufacturing process.
针对多层包裹高压储氢容器的应力监测需求,提出了一种数字双驱动在线应力预测方法。该方法建立了分阶段(离线/在线)计算框架:在离线阶段,采用有限元法(FEM)计算全局应力场,并结合鲸鱼优化算法(WOA-RF)训练随机森林混合回归预测模型,建立集装箱载荷、结构特征、节点坐标与应力之间的映射关系。在在线阶段,首先计算实测的局部应力与离线预测应力之间的偏差。随后,利用k近邻(KNN)算法构建了连接荷载节点坐标与应力偏差的代理模型。最终,KNN模型由本地获取的实时测量数据驱动,利用其输出应力偏差对WOA-RF预测结果进行实时修正,从而实现对被监测船舶的全局双应力预测。为了在离线阶段建立更精确的有限元模型,本文创新性地推导了一种基于实测数据的多层容器层间预紧力反演方法。在多层包覆高压反应器上进行的验证表明,该方法的预测误差在0.4% ~ 10%之间。此外,研究结果阐明了多层包裹容器在载荷作用下表现出的随机和非均匀应力分布特征,这源于制造过程中产生的复杂层间预紧力。
{"title":"Stress distribution characteristics and intelligent online monitoring methods for multilayer wound pressure vessel","authors":"Ruiyuan Xue ,&nbsp;Xuezong Zhang ,&nbsp;Juyin Zhang ,&nbsp;Xueping Wang ,&nbsp;Yongnan Zhang ,&nbsp;Linbin Li ,&nbsp;Yongzhi Luo","doi":"10.1016/j.ijpvp.2025.105742","DOIUrl":"10.1016/j.ijpvp.2025.105742","url":null,"abstract":"<div><div>A digital twin-driven online stress prediction method is proposed to address the stress monitoring requirements for multi-layer wrapped high-pressure hydrogen storage vessels. This method establishes a phased computational framework (offline/online): During the offline phase, the global stress field is computed using the Finite Element Method (FEM), and a random forest hybrid regression prediction model incorporating the whale optimization algorithm (WOA-RF) is trained to establish the mapping relationship between container load, structural features, node coordinates, and stress. During the online phase, the deviation between measured local stresses and offline-predicted stresses is first calculated. Subsequently, a K-Nearest Neighbors (KNN) algorithm constructs a surrogate model linking load-node coordinates to stress deviation. Ultimately, the KNN model is driven by locally acquired real-time measurement data, utilizing its output stress deviation to perform real-time corrections on WOA-RF prediction results, thereby achieving global twin stress prediction for the monitored vessel. To establish a more accurate finite element model during the offline phase, this paper innovatively derives a method for inverting interlayer preload in multilayer vessels based on measured data. Verification conducted on a multi-layer wrapped high-pressure reactor demonstrated that the proposed stress monitoring method achieved prediction errors ranging from 0.4 % to 10 %. Furthermore, the findings elucidate the random and non-uniform stress distribution characteristics exhibited by multi-layer wrapped vessels under loading, which stem from the complex interlayer preload generated during the manufacturing process.</div></div>","PeriodicalId":54946,"journal":{"name":"International Journal of Pressure Vessels and Piping","volume":"221 ","pages":"Article 105742"},"PeriodicalIF":3.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Neural network-aided constitutive modeling of cyclic softening in 2.25Cr–1Mo steel across temperatures and strain amplitudes 2.25Cr-1Mo钢跨温度和应变幅值循环软化的神经网络辅助本构建模
IF 3.5 2区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2026-06-01 Epub Date: 2025-12-26 DOI: 10.1016/j.ijpvp.2025.105738
Fuhai Gao , Cheng Li , Rou Du , Jianguo Gong , Xiaoming Liu , Fuzhen Xuan
2.25Cr–1Mo steel is widely used in high-temperature components of nuclear and fossil power plants. Accurate modelling of its cyclic behavior over a wide temperature range is essential for structure integrity assessment. In this study, a Chaboche-type constitutive model is employed to describe the cyclic response of 2.25Cr–1Mo steel under various strain amplitudes and temperatures. The isotropic hardening parameter Q, defined as the difference between the initial and the stabilized peak stresses, plays a key role in characterizing cyclic softening. To capture the coupled dependence of Q on strain amplitude and temperature, a physics-constrained neural network was developed. The approach incorporates experimental scatter into the calibration process. The predicted parameters are expressed as logarithmic functions of temperature, enabling smooth interpolation and direct implementation in finite element simulations. The proposed model reproduces the experimental cyclic softening behavior with good accuracy. This framework provides a practical and reliable tool for fatigue and inelastic analysis of high-temperature structural components.
2.25Cr-1Mo钢广泛用于核电站和火电厂的高温部件。在较宽的温度范围内对其循环行为进行精确建模对于结构完整性评估至关重要。本研究采用chaboche型本构模型来描述2.25Cr-1Mo钢在不同应变幅值和温度下的循环响应。各向同性硬化参数Q是表征循环软化的关键参数,其定义为初始峰值应力与稳定峰值应力之差。为了捕获Q与应变振幅和温度的耦合关系,开发了物理约束神经网络。该方法将实验散射引入到标定过程中。预测参数被表示为温度的对数函数,可以平滑插值和直接在有限元模拟中实现。该模型较好地再现了试验循环软化行为。该框架为高温结构构件的疲劳和非弹性分析提供了实用可靠的工具。
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引用次数: 0
High-temperature oxidation behavior of novel martensitic heat-resistant steel exposed to an ambient air atmosphere 新型马氏体耐热钢暴露于环境空气中的高温氧化行为
IF 3.5 2区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2026-06-01 Epub Date: 2026-01-19 DOI: 10.1016/j.ijpvp.2026.105762
Chenshuo Cui , Jiaxu Liu , Xin Wang , Fei Teng , Guolin Guo , Tao Meng , Zhengbing Lv , Xuezhi Li , Lijia He , Xiaonan Wang , Xiuhua Gao
With the development of ultra-supercritical units toward higher operating temperatures and pressures, fourth-generation heat-resistant steels have become critical materials for enhancing the service life of key pressure-bearing components. This study investigated the high-temperature oxidation behavior of a novel martensitic heat-resistant steel exposed to air at temperatures ranging from 600 °C to 900 °C for 8 h. The oxidation behavior and mechanisms were analyzed through thermodynamic analysis, weight gain assessment, and microstructural characterization. At different temperatures, the oxidation weight gain curves followed linear, parabolic, and logarithmic patterns. With the increase of temperature, the oxide film gradually changes from thin and continuous dense to discontinuous and loose, covering the whole substrate surface. The increase in oxide layer thickness significantly hindered the mutual diffusion of Fe and O. At 900 °C, the porous oxide layer stratified into a Cr- and Fe-rich inner layer and an Fe-rich outer layer. Fe and O were uniformly distributed in the oxidation products, while Cr tended to enrich in the inner oxide layer. The thickening of the oxide layer and its morphological transformation from granular to dense layered significantly enhance the high-temperature oxidation resistance of heat-resistant steels.
随着超超临界机组向更高的工作温度和压力发展,第四代耐热钢已成为提高关键承压部件使用寿命的关键材料。本研究研究了一种新型马氏体耐热钢在600℃至900℃的空气中暴露8小时的高温氧化行为。通过热力学分析、重量增加评估和显微组织表征分析了氧化行为和机理。在不同温度下,氧化增重曲线呈线性、抛物线和对数模式。随着温度的升高,氧化膜由薄而连续致密逐渐变为不连续松散,覆盖整个基片表面。氧化层厚度的增加明显阻碍了Fe和o的相互扩散。在900℃时,多孔氧化层分层为富Cr和富Fe的内层和富Fe的外层。Fe和O均匀分布在氧化产物中,Cr倾向于在氧化层内富集。氧化层的增厚和由粒状向致密层状的转变显著提高了耐热钢的高温抗氧化性能。
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引用次数: 0
Fatigue fracture of last stage X20Cr13 low pressure turbine (LPT) blade from 600 MW thermal power station 600mw火电厂X20Cr13低压汽轮机末级叶片疲劳断裂
IF 3.5 2区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2026-06-01 Epub Date: 2026-01-06 DOI: 10.1016/j.ijpvp.2026.105751
Chidambaram Subramanian , Swarup Kr Laha , Sourav Kansabanik , Biplab Swarnakar , Debashis Ghosh
The last stage low pressure LP steam turbine blade operated for 3000 rpm was failed after 42000 equivalent hours of operation from 600 MW thermo electric plant. The fractured blade was investigated and compared with virgin blade to determine the failure mode. Visual examination, chemical analysis, uni-axial tensile, V-notch impact tests, bulk hardness, EDX, fractography and microstructural characterization were conducted on the fractured blade. Further, wet fluorescent magnetic particle inspection and surface roughness measurement conducted on virgin blade as well. Initial visual analysis suggested that chevron cracking accompanied with several ratchet marks. Moreover, dynamic analysis of last stage virgin blade was performed and evidenced that natural frequency was stable. Modal analysis had predicted using Finite Element Analysis. Both experimental and theoretical frequencies had been closely matched, and natural frequencies were well below the resonant frequency, thus, vibration had not induced fatigue fracture. Moreover, fractured blade was fractographic and metallographic analyzed for fatigue fracture characterization. An engineering failure analysis suggested that several non-metallic inclusions have been de-bonded at crack origin zone. Multiple source of fatigue cracks have been initiated adjacent to material anomalies and fatigue fracture propagated by alternating centrifugal induced tensile stress. Fine curved striations have been evidenced on fatigue crack initiation and propagation zones. The blade exhibited tempered martensite and tensile properties including hardness were within the specifications. The presence of anomalies including non-metallic inclusions and internal volumetric material defects has been linked with poor blade toughness which had reduced the fatigue resistance of last stage blade. Interaction of manganese sulfide inclusions with complex alternating centrifugal and bending stress had induced fatigue fracture. Several recommendations including blade manufacturing by clean steel technology are suggested based on various obtained evidences to prevent LPT blade failures in power plants.
600 MW热电厂最后一级3000转低压低压汽轮机叶片在运行42000等效小时后发生故障。对断裂叶片进行了研究,并与未断裂叶片进行了对比,确定了叶片的失效模式。对断裂叶片进行了目视检查、化学分析、单轴拉伸、v形缺口冲击试验、体硬度、EDX、断口学和显微组织表征。对未加工叶片进行湿式荧光磁粉检测和表面粗糙度测量。初步的目视分析表明,纹样开裂伴有几个棘轮痕迹。最后对叶片进行了动态分析,证明了叶片固有频率是稳定的。模态分析采用有限元法进行预测。实验频率和理论频率非常接近,固有频率远低于共振频率,因此振动不会引起疲劳断裂。并对断裂叶片进行了断口和金相分析,进行了疲劳断裂表征。工程失效分析表明,裂纹起始区出现了多种非金属夹杂物的脱粘现象。在材料异常和由交变离心诱发的拉应力引起的疲劳断裂附近产生了多种疲劳裂纹源。在疲劳裂纹萌生和扩展区发现了细小的弯曲条纹。叶片表现出回火马氏体和拉伸性能,包括硬度在规格范围内。非金属夹杂物和内部体积材料缺陷等异常的存在与叶片韧性差有关,从而降低了末级叶片的抗疲劳能力。硫化锰包裹体与复杂的交变离心和弯曲应力相互作用导致疲劳断裂。根据已获得的各种证据,提出了一些建议,包括采用清洁钢技术制造叶片,以防止发电厂LPT叶片失效。
{"title":"Fatigue fracture of last stage X20Cr13 low pressure turbine (LPT) blade from 600 MW thermal power station","authors":"Chidambaram Subramanian ,&nbsp;Swarup Kr Laha ,&nbsp;Sourav Kansabanik ,&nbsp;Biplab Swarnakar ,&nbsp;Debashis Ghosh","doi":"10.1016/j.ijpvp.2026.105751","DOIUrl":"10.1016/j.ijpvp.2026.105751","url":null,"abstract":"<div><div>The last stage low pressure LP steam turbine blade operated for 3000 rpm was failed after 42000 equivalent hours of operation from 600 MW thermo electric plant. The fractured blade was investigated and compared with virgin blade to determine the failure mode. Visual examination, chemical analysis, uni-axial tensile, V-notch impact tests, bulk hardness, EDX, fractography and microstructural characterization were conducted on the fractured blade. Further, wet fluorescent magnetic particle inspection and surface roughness measurement conducted on virgin blade as well. Initial visual analysis suggested that chevron cracking accompanied with several ratchet marks. Moreover, dynamic analysis of last stage virgin blade was performed and evidenced that natural frequency was stable. Modal analysis had predicted using Finite Element Analysis. Both experimental and theoretical frequencies had been closely matched, and natural frequencies were well below the resonant frequency, thus, vibration had not induced fatigue fracture. Moreover, fractured blade was fractographic and metallographic analyzed for fatigue fracture characterization. An engineering failure analysis suggested that several non-metallic inclusions have been de-bonded at crack origin zone. Multiple source of fatigue cracks have been initiated adjacent to material anomalies and fatigue fracture propagated by alternating centrifugal induced tensile stress. Fine curved striations have been evidenced on fatigue crack initiation and propagation zones. The blade exhibited tempered martensite and tensile properties including hardness were within the specifications. The presence of anomalies including non-metallic inclusions and internal volumetric material defects has been linked with poor blade toughness which had reduced the fatigue resistance of last stage blade. Interaction of manganese sulfide inclusions with complex alternating centrifugal and bending stress had induced fatigue fracture. Several recommendations including blade manufacturing by clean steel technology are suggested based on various obtained evidences to prevent LPT blade failures in power plants.</div></div>","PeriodicalId":54946,"journal":{"name":"International Journal of Pressure Vessels and Piping","volume":"221 ","pages":"Article 105751"},"PeriodicalIF":3.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145978880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Structural integrity assessments of SNF transport cask and fuel cladding under hypothetical explosion scenario 假设爆炸情景下SNF运输桶和燃料包壳结构完整性评估
IF 3.5 2区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2026-06-01 Epub Date: 2026-01-17 DOI: 10.1016/j.ijpvp.2026.105756
Yong Gyun Shin, Yoon-Suk Chang
Ensuring the integrity of spent nuclear fuel (SNF) transport cask during extreme accident as well as normal conditions is essential for public and environmental safety. In this study, a series of explosion analyses were conducted for an SNF transport cask and fuel cladding based on a representative hypothetical explosion scenario. First, three numerical methods, namely the conventional weapons effects program, smoothed particle hydrodynamics and coupled Eulerian-Lagrangian, were benchmarked against experimental data from a steel pipe explosion to identify the most reliable one. Finite element (FE) analyses of the transport cask were then primarily performed by considering different detonation angles and configurations with and without the impact limiters. The influence of explosive shapes including cube, cylinder, and sphere was also examined by comparing the resulting shock wave propagation in each cask component. The structural integrity assessment revealed that the factor of safety for all cask components exceeded 1.5 except in the case of a 0° detonation angle. Accordingly, the detailed FE model of an SNF assembly was developed and its integrity was assessed. The subsequent FE analyses showed that the resulting strains remained well below the strain-based failure criterion for all detonation angles in both configurations, suggesting that the limited damage to the cask would not compromise the integrity of the SNF fuel cladding.
在极端事故和正常情况下,确保乏核燃料运输桶的完整性对公共和环境安全至关重要。在本研究中,基于具有代表性的假设爆炸情景,对SNF运输桶和燃料包壳进行了一系列爆炸分析。首先,将常规武器效应程序、光滑颗粒流体力学和耦合欧拉-拉格朗日三种数值方法与钢管爆炸实验数据进行对比,确定最可靠的数值方法。然后,通过考虑不同的爆轰角度和有无冲击限位器的配置,对运输桶进行了有限元分析。通过比较在每个桶组件中产生的冲击波传播,还研究了包括立方体、圆柱体和球体在内的爆炸形状的影响。结构完整性评价结果表明,除爆轰角为0°外,桶体各部件的安全系数均超过1.5。据此,建立了SNF组件的详细有限元模型,并对其完整性进行了评估。随后的有限元分析表明,在两种配置下,所得到的应变仍然远远低于基于应变的失效准则,这表明桶体的有限损伤不会损害SNF燃料包壳的完整性。
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International Journal of Pressure Vessels and Piping
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