金属材料在高温高压水、液态Pb-Bi和海洋环境中的腐蚀疲劳行为研究进展
Research Advance on Corrosion Fatigue Behavior of Metallic Materials in High-Temperature Pressurized Water, Liquid Pb-Bi, and Marine Environments
通讯作者: 吴欣强,xqwu@imr.ac.cn,主要从事核用材料环境损伤行为研究
责任编辑: 肖素红
收稿日期: 2025-09-30 修回日期: 2026-02-07
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Corresponding authors: WU Xinqiang, professor, Tel:
Received: 2025-09-30 Revised: 2026-02-07
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作者简介 About authors
吴欣强,男,1972年生,研究员,博士
腐蚀疲劳是金属材料在交变载荷与腐蚀环境协同作用下的一种典型失效形式,广泛存在于核电、海洋工程、航空航天、能源装备等关键领域,直接影响工程构件的服役安全和寿命评估。随着先进能源系统在深空、深海、深地等极端环境探索的推进,材料所面临的环境-力学耦合损伤日趋严苛。其中高温高压水、液态Pb-Bi和海洋环境为典型的腐蚀环境,理解并预测金属材料在上述环境中的腐蚀疲劳行为具有重要意义。本文综述了金属材料在上述三类典型腐蚀环境中的腐蚀疲劳实验技术、损伤机理和预测模型等的研究进展。在实验技术方面,重点介绍了模拟服役环境疲劳测试装置及样品应变/位移、裂纹长度原位监测方法的发展现状;在损伤机理方面,阐述了腐蚀坑应力集中、保护膜破裂和滑移溶解、表面渗氢和氢致损伤、表面能降低等多种机制的竞争和协同作用;在预测模型方面,梳理了从传统经验模型(Basquin和Coffin-Manson模型)到数据驱动的机器学习方法的发展脉络,并指出了当前模型在工程适用性和机理融合方面的不足。本文还讨论了该领域目前存在的主要挑战,如极端新环境实验技术的缺失、多机制耦合损伤理论的不足以及小样本条件下高精度寿命预测模型的缺乏等,并对未来研究方向进行了展望,包括发展跨尺度原位表征技术、融合物理机理与机器学习方法以及推动耐腐蚀疲劳新材料的设计和评价体系建设等。
关键词:
Corrosion fatigue is a typical failure mode of metallic materials subjected to the combined effects of cyclic loading and corrosive environments. It is widely observed in critical fields such as nuclear power, marine engineering, aerospace, and energy equipment, and directly affects the service safety and life assessment of engineering components. With the advancement of advanced energy systems operating in extreme environments such as deep space, deep sea, and deep earth, materials increasingly experience severe environmental-mechanical coupling damage. Among these environments, high-temperature pressurized water, liquid lead-bismuth, and marine conditions represent typical corrosive systems. Therefore, understanding and predicting the corrosion fatigue behavior of metallic materials under these conditions is of considerable importance. This paper reviews recent research progress on corrosion fatigue experimental techniques, damage mechanisms, and prediction models for metallic materials in the three representative corrosive environments mentioned above. Regarding experimental techniques, particular attention is given to the development of fatigue testing devices capable of simulating service environments, as well as in situ monitoring methods for specimen strain/displacement and crack length. In terms of damage mechanisms, the competition and synergistic interactions among several mechanisms are discussed, including stress concentration at corrosion pits, rupture of protective films and slip dissolution, hydrogen ingress and hydrogen-induced damage, and reductions in surface energy. For prediction models, the evolution from traditional empirical models, such as the Basquin and Coffin-Manson models, to data-driven machine learning approaches is summarized. The limitations of current models in terms of engineering applicability and integration of physical mechanisms are also highlighted. Furthermore, this paper discusses major challenges in the field, including the lack of experimental techniques for emerging extreme environments, insufficient understanding of multimechanism coupled damage theories, and the absence of high-precision life prediction models under small-sample conditions. Future research directions are proposed, including the development of cross-scale in situ characterization techniques, the integration of physical mechanisms with machine learning methods, and the advancement of design and evaluation systems for materials resistant to corrosion fatigue.
Keywords:
本文引用格式
吴欣强, 谭季波, 张兹瑜, 薛宝权, 柯伟.
WU Xinqiang, TAN Jibo, ZHANG Ziyu, XUE Baoquan, KE Wei.
腐蚀疲劳是材料在交变载荷与腐蚀环境交互作用下的一种损伤形式,普遍存在于桥梁、车辆、航空航天、能源等工业界,严重威胁关键装备的服役安全和经济性,是工程构件寿命设计必须关注的因素。在腐蚀疲劳过程中,材料表面或裂纹尖端通常与环境介质发生化学反应、电化学反应、物理溶解等腐蚀损伤,导致其抗疲劳性能降低。例如,压水堆核电站压力边界设备(压力容器、主管道、蒸汽发生器等)材料服役于高温高压(325 ℃、15.5 MPa)硼锂水中,在滑移溶解和/或氢致开裂的作用下,疲劳寿命可能下降10%~90%[1~17];类似地,铅冷快堆关键结构材料处于高温液态Pb-Bi环境中,会遭受液态金属腐蚀与脆化的共同作用,导致疲劳寿命下降可达80%[18~23]。因此,研究金属结构材料的腐蚀疲劳行为至关重要。
随着风能、太阳能、氢能、核能等先进能源的快速发展,以及人类向“深空、深海、深地”领域探索的战略驱动下,关键装备的服役条件越来越苛刻,逐渐向高温、高压、强腐蚀、强辐照/辐射等环境转化(图1)。研究关键装备材料在上述苛刻环境中的腐蚀疲劳行为,必须发展模拟服役环境中的载荷、应变/位移、裂纹长度、环境参数等的原位监测技术,研发模拟服役条件下的腐蚀疲劳实验技术和装置,揭示材料在模拟服役环境中的腐蚀疲劳损伤机理,建立其多因素耦合环境疲劳寿命预测模型,为关键构件的疲劳寿命分析和设计提供支撑。
图1
图1
金属材料在苛刻服役环境中的腐蚀疲劳
Fig.1
Corrosion fatigue of metal materials in harsh environments
本文综述了模拟高温高压水、高温液态Pb-Bi和海洋环境中腐蚀疲劳实验技术的发展现状,讨论了金属结构材料在这些环境中的腐蚀疲劳损伤机理,总结了当前的腐蚀疲劳寿命预测模型,并展望了未来可能的研究方向。
1 模拟服役环境中的腐蚀疲劳实验技术
图2
图2
光滑试样腐蚀疲劳实验装置和腐蚀疲劳裂纹扩展实验装置
Fig.2
Testing devices of corrosion fatigue for smooth specimens (a) and corrosion fatigue crack growth (b) (LVDT—linear variable differential transformer, DCPD—direct current potential drop, CT—compact tension)
在空气环境中,通常采用应变片、引伸计、数字图像相关法等测量光滑疲劳试样的应变,采用柔度法测量CT试样的裂纹长度。但常规的引伸计不能用于苛刻腐蚀环境。目前,通常采用线性可变差动变压位移传感器(LVDT)测量试样在腐蚀环境中的应变(图2a)或裂纹口张开位移(图2b) ,采用直流电位降(DCPD)测量CT试样在腐蚀环境(不导电或弱导电介质)中的裂纹长度(图2b),也有利用声发射技术原位监测腐蚀疲劳过程的研究报道[28]。在苛刻环境的腐蚀疲劳实验中,LVDT凭借其坚固的密封结构、卓越的抗腐蚀能力、非接触测量的可靠性以及长期的稳定性,成为测量位移(如裂纹张开位移)的首选方案。它有效克服了应变片易受环境影响、寿命有限的问题,避免了引伸计可能滑脱和损伤表面的缺点,同时也解决了数字图像技术对环境光路要求苛刻、难以在密闭腐蚀环境中应用的难题。
基于近服役环境模拟技术和相应的原位监测技术,中国科学院金属研究所(IMR)研发了系列腐蚀疲劳实验技术和装置,包括:模拟海洋环境腐蚀疲劳实验装置,可开展模拟潮差区、流动海水区和海洋飞溅区等的疲劳实验;湿H2S环境中的腐蚀疲劳实验装置,可实现不同浓度的H2S及其混合气体循环溶液(≤ 75 ℃)密闭环境中的疲劳实验;模拟压水堆核电一回路环境腐蚀疲劳实验装置,可开展高温高压循环水(350 ℃、20 MPa,溶解氧浓度和溶解氢浓度可精确调控)环境中的疲劳实验;模拟铅冷快堆冷却剂环境腐蚀疲劳实验装置,可开展精确控氧高温液态Pb-Bi环境中的疲劳实验[29]。其核心技术在于实现力学载荷(疲劳、慢拉伸、恒载荷)与腐蚀环境的耦合作用,并集成多种原位实时监测手段,包括电化学测量、光学和光谱分析、声发射技术等,以实时监测材料的腐蚀行为、表面状态及裂纹扩展过程,为揭示材料在真实服役条件下的损伤机制提供关键数据支撑。这些装置主要依托三大技术原理:首先,通过高温高压循环水系统及可靠的密封设计(如卡套密封),在高压釜或管路中精确复现目标服役环境的温度、压力和水化学条件;其次,借助力学加载系统在模拟环境中对试样施加疲劳、慢应变速率拉伸等多种载荷,从而达到腐蚀环境与应力状态的协同耦合作用;最关键的是,这些装置集成了耐高温高压的原位测试探头和传感器,实现了电化学信号、光学观测和声发射事件等关键参数的实时采集,有效避免了传统离线分析引入的误差,为揭示材料损伤机制提供了数据支撑。
尽管金属材料在模拟苛刻服役环境中的腐蚀疲劳实验技术取得了一定进展,但随着氢能、先进核能、万米深潜、万米深地、宇宙深空等新领域的迅速发展,当前依然缺乏成熟可靠的模拟高压氢、高温熔盐、超高压海水、高压深地、模拟深空(空间辐射、原子氧、等离子体等)环境中的疲劳实验技术,需重点发展。
2 金属材料腐蚀疲劳损伤机理
金属材料的腐蚀疲劳行为受环境、力学和材料多因素协同效应的影响,在不同环境-材料体系下损伤机制存在差异。目前广泛认可的腐蚀疲劳损伤机理为腐蚀坑应力集中模型、保护膜破裂模型、滑移溶解模型、氢致损伤及表面能降低模型等。实际工程构件在发生腐蚀疲劳失效时,多种机理在不同阶段的协同和竞争进一步加剧了腐蚀疲劳行为的复杂性。尤其在高温高压水、液态金属、深海等极端服役条件下,用传统机理解释观测到的腐蚀疲劳现象已显现局限性。因此,近服役苛刻环境中的腐蚀疲劳损伤机制仍亟待深入研究。
2.1 腐蚀坑应力集中模型
2.2 保护膜破裂和滑移溶解模型
保护膜破裂和滑移溶解模型是解释不锈钢、镍基合金、铝合金和钛合金等金属材料在腐蚀环境中发生疲劳裂纹萌生和扩展的核心理论之一[29]。保护膜本身的电化学/力学不稳定性使其成为裂纹萌生点,它的破裂和修复过程引入了局部应力集中和缺陷,从而促进了裂纹的萌生。该模型的关键在于“膜破裂-金属溶解/再钝化-产生应力集中/缺陷”这一循环过程的持续重复。每一次应力循环均可能引起保护膜的局部损伤和微量金属溶解,长期累积后最终形成尖锐的裂纹源。循环载荷引起的局部塑性变形与电化学阳极溶解过程之间反复、协同的动态交互作用,共同驱动裂纹尖端向前扩展。该模型合理解释了腐蚀疲劳裂纹扩展行为对载荷频率和环境化学参数的强烈依赖性:频率越低,每一循环内裂纹尖端新鲜金属暴露于腐蚀介质的时间越长,溶解量越大,导致每循环扩展量升高;环境条件越苛刻(如Cl⁻浓度高、温度高、再钝化能力差等),溶解速率越快,疲劳裂纹扩展速率(da / dN,其中,a为裂纹长度,N为循环次数)也相应增大[29]。二者的核心区别可以概括为:滑移溶解模型关注的是“机械损伤如何引发和促进电化学溶解”,而保护膜模型关注的是“电化学过程如何引发和促进机械损伤”。实际上,在大多数腐蚀疲劳过程中,这两种机制往往是共同作用、相互促进的,很难完全分开。滑移溶解过程会造成保护膜破裂和溶解,溶解和再钝化过程又会改变表面的力学状态,产生新的应力集中点,促进更多的塑性变形。因此,保护膜破裂和滑移溶解模型分别描述了腐蚀疲劳损伤过程中不同环节的主导机制。
核电领域是滑移溶解模型应用和研究最为成熟的典型场景,奥氏体不锈钢(如304/316L)和镍基合金(如600/690合金)长期暴露于含微量溶解氧和溶解氢的高温高压水(320 ℃、12.5 MPa)环境中[2,9~11,13~17,42~44],材料表面通常形成以Ni/Fe-Cr尖晶石为主的保护性氧化膜[11~13,45]。但在裂纹尖端应力和塑性应变集中区域,循环载荷导致位错滑移反复破坏该氧化膜,暴露出的新鲜金属发生阳极溶解,随后重新形成氧化膜[15,17,44]。上述过程受水温、溶解氢浓度、Li浓度及pH值等水化学参数的控制,从而影响疲劳裂纹的萌生和扩展行为[9,46,47]。这种“滑移-膜破裂-溶解-再钝化”循环持续驱动腐蚀疲劳裂纹稳定扩展,如图3[11]所示。
图3
图3
奥氏体不锈钢在高温高压水环境中保护膜破裂和滑移溶解模型的原理示意图[11]
Fig.3
Schematics of protective film rupture and slip dissolution model of austenitic stainless steel in a high-temperature, pressurized water environment[11] (DO—dissolved oxygen, PWR—pressurized water reactor, BWR—boiling water reactor, PSBs—persistence slip bands)
2.3 表面渗氢和氢致损伤模型
2.4 表面能降低模型
式中,σa为外加应力,E为固体的Young's模量,γ为界面处的比表面能,a'为内部已存在裂纹的半长。根据Griffith理论,表面能的下降使得材料在较低应力水平下即可发生断裂[77]。因此,表面能降低模型常被用于解释由液态金属等介质引起的特异性吸附所导致的脆性开裂行为。
在第四代核电液态金属冷却快堆中,奥氏体不锈钢及铁素体/马氏体钢与液态钠或Pb-Bi共晶(LBE)冷却剂接触时,液态金属原子会吸附于裂纹尖端区域,显著降低局部表面能[78]。在循环载荷作用下,每次加载均使新生金属表面暴露于液态金属环境中,引发快速吸附行为,从而显著提高da / dN,这已成为制约先进核电技术发展的关键问题之一[19,20,22,78]。IMR利用自主研发的液态金属环境腐蚀疲劳试验系统及CT试样裂纹长度原位监测技术,系统研究了T91铁素体/马氏体钢和316LN奥氏体不锈钢在液态Pb-Bi环境中的疲劳裂纹扩展行为[18,21,23]。结果表明,裂纹先以延性模式扩展,然后转变为准解理开裂模式,最后转变为解理开裂模式,如图4[18]所示。穿晶脆性裂纹优先沿裂纹尖端附近由于塑性变形形成的高密度位错带等微观界面扩展。Pb、Bi原子易于在这些界面发生偏聚,削弱界面原子结合力,诱发脆性断裂[18,21]。原子尺度表征进一步揭示了Pb/Bi原子在微观界面形成有序吸附超结构,如图5[21]所示。上述原子尺度上液态金属原子在裂纹尖端微观界面偏聚吸附并诱导界面解理的实验现象,为表面能降低模型提供了直接证据。
图4
图4
液态Pb-Bi辅助316LN奥氏体不锈钢疲劳裂纹扩展过程的示意图[18]
Fig.4
Schematics of fatigue crack growth process of 316LN austenitic stainless steel assisted by liquid Pb-Bi (LBE)[18] (σ—loading stress, LME—liquid metal embrittlement, TBs—twin boundaries, GBs—grain boundaries)
(a) ductile cracking
(b) ductile cracking→quasi-cleavage cracking
(c) ductile cracking→quasi-cleavage cracking→cleavage cracking
图5
图5
Pb、Bi原子在裂纹尖端附近微观组织界面上的吸附状态[21]
Fig.5
Adsorption states of lead and bismuth atoms on the microstructure interface near the crack tip[21]
(a) Pb-Bi clusters and superstructures (Inset illustrates the adsorption configurations of Pb/Bi atoms, with green spheres representing Pb/Bi atoms and gray spheres representing the Fe atoms of the substrate)
(b) atomic-level energy spectrum of the segregation state of Pb/Bi atoms
3 金属材料腐蚀疲劳寿命预测模型
疲劳设计模型是工程关键构件安全设计及运行的重要保障,通常分为疲劳寿命模型和裂纹扩展速率模型,分别对应疲劳设计中的基于S-N/ε-N (其中,S为应力,ε为应变)曲线的总寿命法和基于da / dN-ΔK (其中,ΔK为应力强度因子范围)关系的损伤容限法。总寿命法基于控制应力或者应变幅获得的光滑试样产生疲劳失效(断裂或者峰值拉应力下降到特定值)对应的寿命。损伤容限法基于应力控制下获得的含裂纹试样的da / dN及其与ΔK的关系。
Basquin模型[79]的表达式为:
式中,Δσ为应力变幅,即最大应力与最小应力之差;Δσ / 2为应力幅,即应力变幅的一半;
式中,Δεp为塑性应变幅,
Palmgren-Miner累积损伤模型[82]的表达式为:
式中,ni 为含有m个载荷块的加载序列中在恒应力幅为σai 时第i个载荷块的循环数,Nfi 为在σa下的破坏循环数。
Langer方程简化模型[83]的表达式为:
式中,εa为应变幅;A为方程的系数;B和C为与材料成分和结构有关的常数,与载荷和环境无关;N25为峰值拉应力下降25%时对应的循环周次。
正如前文所述,特定的环境和力学参数下结构材料的疲劳寿命会明显降低,表现出明显的环境效应[2,5,22,84]。但前述模型均为空气环境中的数据拟合模型,未包含环境因素的影响。考虑环境因素对低周疲劳寿命影响的主要方法有三种。(1) 根据材料、载荷(应变速率、波形等)和环境(温度、溶解氧浓度等)分别建立不同条件下的疲劳寿命模型。这种方法所需的数据量巨大,需要针对所有材料,在所有力学参数及环境参数下进行不同应变幅/应力幅条件下的疲劳实验,获得疲劳数据后进行拟合得到考虑环境因素的疲劳模型,因此不适用于工程应用。(2) 基于空气环境中疲劳寿命模型植入环境疲劳影响因子(Fen)。该方法是目前核电压力容器设计领域通常采用的方法,定义Fen = NAir / NWater,其中NAir为空气环境中的疲劳寿命,NWater为水环境中的疲劳寿命。NAir由Langer方程简化模型确定(见
大多数工程合金的疲劳裂纹扩展规律(da / dN-ΔK关系)存在三个明显的区间。当ΔK小于门槛值时,裂纹不扩展或da / dN太小无法检测;当ΔK大于门槛值时,da / dN随ΔK增大快速增加,随后,da / dN随ΔK变化符合线性关系,即目前研究数据最多的Paris区;随ΔK继续增大,da / dN快速增大,直至发生断裂。目前关于疲劳裂纹扩展速率的模型多集中在Paris区,空气环境中该区域的疲劳裂纹扩展模型为:da / dN = C'(ΔK) n',其中,C'和n'为系数[91]。目前考虑环境因素的疲劳裂纹扩展模型主要有三种。(1) 基于Paris模型植入环境因子进行修正。首先选取环境参数中明显影响da / dN的因子,基于数据拟合获得环境因子的表达式。由于该方法便于工程应用,ASME标准的Code Case中也给出了推荐模型表达式,目前核电领域主要的模型包括ASME Code Case N809 (
式中,I(t)为裂尖总电流,B'为样品厚度,
阳极溶解模型[96]的表达式为:
式中,M'为平均原子质量,t0为一个周期中新表面的产生时间,t1为一个周期中裂纹口张开但未产生新表面的时间,Ib为新生面电流密度,If为定常面电流密度,β为膜形成速率常数。
由于传统的基于数据拟合获得的经验模型需要大量实验数据,腐蚀疲劳环境模拟也较为复杂,通常需要投入较大的人力和物力,且应变速率(频率)或应变(应力)幅较低条件下的实验周期往往需要几个月或更长时间。同时,经验模型依赖于材料和实验条件,普适性不高,机理越明确的模型其表达式往往越复杂,不便于工程应用。因此,亟需基于小样本数据获得具有较高精度的预测模型,从而降低实验成本。数据驱动的机器学习方法通过从有限的实验数据中学习复杂规律,为腐蚀疲劳寿命预测提供了可行途径,适用于小样本条件下建立预测模型。其基本过程是通过整合和提炼疲劳寿命及裂纹扩展速率数据信息,经过训练和拟合形成预测模型。数据驱动的疲劳预测模型主要包括统计学模型和机器学习模型两种。统计学模型通过概率寿命预测方法将不确定性建模和量化手段引入疲劳寿命的评估,通过结构件寿命的概率分布或置信区间为疲劳设计及寿命管理等提供了依据[88,97]。在腐蚀疲劳寿命问题研究中,统计学模型一方面通过对腐蚀疲劳失效数据进行非线性参数拟合,基于概率密度曲线定性分析腐蚀环境对疲劳寿命的影响规律,同时评估腐蚀疲劳寿命;另一方面通过概率方法降低物理模型参数的不确定性,进而提高预测结果的可靠度[98]。利用统计学方法预测疲劳寿命目前已在航空领域得到了较为广泛的应用。但实验室统计方法样本数据有限,预测结果的准确性与分布函数及其参数的选取有关。机器学习模型通过聚类技术、降维技术、分类技术及回归技术对数据进行处理,可以从数据中自动学习并得出规律,具有更强大的数据处理能力和泛化能力,能够针对腐蚀疲劳寿命预测问题给出比较准确的结果[98~101]。但机器学习方法的可解释性低,无法解释数据中蕴含的基本力学或化学原理[102]。将物理约束引入机器学习的数据驱动-物理融合方法可以实现物理信息融合,提高机器学习方法的可解释性,但上述方法在腐蚀疲劳寿命预测中的应用有待进一步研究[99,103,104]。
Yang等[105]回顾了海洋结构腐蚀疲劳的研究进展,指出一些新开发的基于数据驱动机器学习和海上监测的腐蚀疲劳理论和实验方法已得到初步应用。这些方法能够同时考虑材料性能、环境参数和载荷条件等多种因素,建立与腐蚀疲劳寿命的复杂映射关系。机器学习模型可以整合实验数据、现场监测数据和物理模型输出,形成更全面的预测框架。例如,通过将腐蚀电位、pH值、Cl-浓度等环境参数与应力水平、频率等力学参数共同作为输入特征,使机器学习模型能够捕捉这些因素之间的复杂交互作用。Feng等[106]采用符号回归辅助的机器学习方法,对第四代先进核电站所用的T91钢和316L不锈钢进行了腐蚀疲劳寿命预测。结果表明,引入符号回归提取的特征能有效提升各类机器学习模型的性能。其中,人工神经网络(ANN)模型改进最为显著,其均方根误差(RMSE)较未使用符号回归特征的模型降低了22%。此外,还将训练完备的ANN模型迁移应用于316L不锈钢的预测,在训练样本减少50%的情况下仍保持良好的性能,体现出该方法在提升模型训练和部署效率方面的潜力。
4 总结与展望
(1) 模拟服役环境的腐蚀疲劳实验技术已取得显著进步,基于LVDT、DCPD等原位监测方法,已发展出适用于海洋、核电高温高压水、液态金属等复杂环境的疲劳测试装置,为揭示材料在真实工况下的损伤行为提供了关键平台。然而,面对氢能、深空、深地等新兴领域带来的高压氢、高温熔盐、超高压深海、空间辐射等极端环境,现有实验技术仍存在空白。上述环境下环境箱的适应性设计及动密封的实现是未来关注的重点,其中采用波纹管实现苛刻环境下的动密封是可供选择的方法之一。模块化设计可以提高模拟服役环境测试装置的通用性及制造效率,是模拟测试技术标准化发展的重要方向。结合新一代装备的材料可靠性评价的迫切需求,高精度、长周期、多参数协同监测的标准化和模块化实验平台是实验技术领域的重点发展方向。
(2) 腐蚀疲劳损伤涉及腐蚀坑应力集中、保护膜破裂和滑移溶解、表面渗氢和氢致损伤及表面能降低等多种机理,这些机制在不同材料-环境-力学条件下呈现复杂的协同或竞争作用,表现出跨时间和空间尺度的动态演化特征。传统理论在解释极端环境新现象时已显不足,例如液态金属环境中脆性断裂的动力学机制、高压氢环境下氢扩散和疲劳损伤的耦合行为等。未来需借助高时空分辨的原位表征技术(如原位电化学、同步辐射、透射电镜等),从原子尺度到宏观尺度系统揭示腐蚀疲劳损伤的动态过程,发展能够定量描述多机制交互作用的理论模型,并以此指导新一代耐腐蚀疲劳材料的设计和表面防护技术的开发。
(3) 工程上的疲劳设计模型主要围绕总寿命法(S-N/ε-N曲线)和损伤容限法(da / dN-ΔK)展开,其核心难点在于如何有效量化环境因素的影响。当前工程中普遍采用引入环境因子(如Fen)的经验模型进行修正,但其普适性受限,且严重依赖大量实验数据。尽管基于物理机理的模型具有更好的理论普适性,但其形式复杂、参数难以获取,制约了工程应用。未来研究需突破传统经验模型对大量实验数据的依赖,大力发展基于小样本的数据驱动和机器学习方法,并通过融合物理约束(如腐蚀动力学方程、断裂力学准则)提升模型的可解释性和外推能力。最终目标是构建能够描述从腐蚀萌生、裂纹扩展到最终断裂的全过程,且适用于多场耦合环境的统一预测模型,为关键装备的寿命设计和安全运维提供坚实支撑。此外,随着材料基因组、数字孪生等新兴技术的发展,建立腐蚀疲劳数据库、开发多尺度仿真平台、推动材料-环境-力学一体化智能设计,将成为该领域的重要发展趋势,为实现材料在极端环境下长寿命、高可靠服役奠定理论与技术基础。
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[J].
Understanding and mitigating hydrogen embrittlement of steels: A review of experimental, modelling and design progress from atomistic to continuum
[J].Hydrogen embrittlement is a complex phenomenon, involving several length- and timescales, that affects a large class of metals. It can significantly reduce the ductility and load-bearing capacity and cause cracking and catastrophic brittle failures at stresses below the yield stress of susceptible materials. Despite a large research effort in attempting to understand the mechanisms of failure and in developing potential mitigating solutions, hydrogen embrittlement mechanisms are still not completely understood. There are controversial opinions in the literature regarding the underlying mechanisms and related experimental evidence supporting each of these theories. The aim of this paper is to provide a detailed review up to the current state of the art on the effect of hydrogen on the degradation of metals, with a particular focus on steels. Here, we describe the effect of hydrogen in steels from the atomistic to the continuum scale by reporting theoretical evidence supported by quantum calculation and modern experimental characterisation methods, macroscopic effects that influence the mechanical properties of steels and established damaging mechanisms for the embrittlement of steels. Furthermore, we give an insight into current approaches and new mitigation strategies used to design new steels resistant to hydrogen embrittlement.
Hydrogen-enhanced localized plasticity—A mechanism for hydrogen-related fracture
[J].
Primary water stress corrosion cracking inspection ranking scheme for alloy 600 components
[J].
The mechanism of stress corrosion cracking of alloy 600 in high temperature water
[J].
The effect of crack tip environment on crack growth behaviour of a low alloy steel at cathodic potentials in artificial seawater
[J].The environment at crack tip and its effect on the crack growth behaviour of low alloy steel- E690 steel were studied at cathodic potentials in artificial seawater. The results showed that the micro environment at crack tip and crack growth behaviour were related to the electrochemical reactions at crack tip, which were affected by the stress state and applied potentials. The crack tip environment was acidified under cyclic loading, resulting from the crack tip anodic dissolution reaction and corresponding hydrolysis reaction. Because of the hydrogen evolution and the inhibited anodic dissolution inside the crack, the crack tip pH increases as the cathodic potential decreases. The effect of cathodic potentials on the electrochemical reactions caused the variation of the hydrogen content, which influenced the crack growth rate because the crack growth behaviour was controlled by hydrogen embrittlement mechanism. This resulted in a fact that with the negative decrease of potential, the crack growth rate first decreased and then increased, with the minimum rate at -0.75 V. And the crack growth path exhibited transgranular fracture.
Perspective review on factors that influence the stress corrosion of Ti alloys for deep-sea applications
[J].This paper reviews the current state of knowledge and advances on the stress-corrosion cracking (SCC) of Ti alloys subject to harsh corrosive environments in the deep sea, and presents the knowledge gaps and future directions. A comprehensive review of classifications and applications of Ti alloys for deep-sea engineering indicates that the near-<em>α</em> and <em>α</em> + <em>β</em> Ti alloys with high strength and great weldability are the primary selection for deep-sea equipment. The role of residual stress, microstructure types, alloying elements and corrosive environmental factors on SCC performance of Ti alloys are also summarised. It is revealed that the Ti alloys with Widmanstatten structure show the lowest SCC susceptibility, and alloying of Nb, Mo and Al elements plays a positive role in the boost corrosion resistance of passive film. Synergistic effects of environmental deep-sea factors include high hydrostatic pressure, low dissolved oxygen content, low temperature and decreasing pH levels intensify the SCC of Ti alloys by inducing local dissolution of the passive film and facilitating hydrogen-induced cracking at crack tip. The study also highlights future research requirements in SCC of Ti alloys in deep sea: including the set-up of unified and suitable methods of <em>in-situ</em> and simulated experiments, modeling and predicting of SCC behaviour in real situations, and exploring practical protective strategies specifically. These findings provide a reference for further SCC mechanisms research and promote the microstructure optimisation and performance improvement of the advanced Ti alloy-based material systems for deep-sea engineering.
Effect of water temperature in the deep sea on the mitigation of hydrogen embrittlement by O2 impurity
[J].
Numerical analysis of dynamic and fatigue characteristics of deep-sea mining riser considering irregular waves and currents
[J].
Creep-fatigue life prediction of a titanium alloy deep-sea submersible using a continuum damage mechanics-informed BP neural network model
[J].
Numerical analysis on the creep-fatigue damage of titanium alloy deep-sea pressure hull at room temperature
[J].
Comparison of hydrogen embrittlement susceptibility of three cathodic protected subsea pipeline steels from a point of view of hydrogen permeation
[J].
The effect of hydrogen on stress corrosion behavior of X65 steel welded joint in simulated deep sea environment
[J].
Environmental degradation of structural materials in liquid lead- and lead-bismuth eutectic-cooled reactors
[J].
The exponential law of endurance tests
[A].
A study of the effects of cyclic thermal stresses on a ductile metal
[J].
Behavior of materials under conditions of thermal stress
[R].
Cumulative damage in fatigue
[J].The phenomenon of cumulative damage under repeated loads was assumed to be related to the net work absorbed by a specimen. The number of loading cycles applied expressed as a percentage of the number to failure at a given stress level would be the proportion of useful life expended. When the total damage, as defined by this concept, reached 100 per cent, the fatigue specimen should fail. Experimental verification of this concept for an aluminum alloy, using different types of specimens, various stress ratios, and various combinations of loading cycles is presented. These data are also analyzed to provide information on different stress ratios when an S-N curve for any one ratio is known. Results of a sample analysis based on experiments are given. It is concluded that a simple and conservative analysis is possible using the concept of cumulative fatigue damage.
Design of pressure vessels for low-cycle fatigue
[J].Methods are described for constructing a fatigue curve based on strain-fatigue data for use in pressure vessel design. When this curve is used, the same fatigue strength-reduction factor should be used for low-cycle as for high-cycle conditions. When evaluating the effects of combined mean and alternating stress, the fatigue strength-reduction factor should be applied to both the mean and the alternating component, but then account must be taken of the reduction in mean stress which can be produced by yielding. The complete fatigue evaluation of a pressure vessel can be a major task for the designer, but it can be omitted, or at least drastically reduced, if certain requirements can be met regarding design details, inspection, and magnitude of transients. Although the emphasis in this paper is on pressure vessel design, the same principles could be applied to any structure made of ductile metal and subjected to limited numbers of load cycles.
Research advance on liquid lead-bismuth eutectic corrosion resistant Si enhanced ferritic/martensitic and austenitic stainless steels
[J].Structural materials are one of the major factors that restrict the lead-cooled fast reactor construction due to metallic elements that can dissolve in the liquid lead-bismuth eutectic (LBE), which may affect the structure's safety. T91 steel and 316 stainless steel are the leading structural materials for critical equipment such as fuel cladding, reactor vessels, and reactor core internals. The environmental compatibility of those steels with the liquid LBE needs to be systematically evaluated. However, T91 steel and 316 stainless steel suffer from rapid oxidation corrosion in oxygen-saturated LBE at 550oC. T91 steel's corrosion resistance in liquid LBE can be improved by decreasing the oxygen concentration (1.26 × 10-6%, mass fraction), but dissolved corrosion occurred at dissolved oxygen concentration below 1 × 10-6% for T91 steel and 316 stainless steel. T91 steel is sensitive to liquid metal embrittlement, significantly reducing its corrosion fatigue life in the liquid LBE. Compared to the standard (9%-12%)Cr ferritic/martensitic steel and 316 stainless steel, the microalloyed Si enhanced (9%-12%)Cr ferritic/martensitic steel (9Cr-Si and 12Cr-Si) and 316 stainless steel (ASS-Si) have good microstructural stability and comprehensive mechanical properties. The Si-rich oxide formation in liquid LBE improves the oxide film compactness and corrosion resistance. The dissolution corrosion was inhibited in static oxygen-saturation and oxygen-controlled (10-6%-10-7%) flowing liquid LBE (0.3 m/s) at 550oC for 9Cr-Si, 12Cr-Si, and ASS-Si. These alloys are expected to meet the design requirements for a lead-cooled fast reactor.
耐Pb-Bi腐蚀Si增强型铁素体/马氏体钢和奥氏体不锈钢的研究进展
[J].结构材料是制约铅冷快堆建设的关键因素之一,原因是其组成元素在液态Pb-Bi共晶(LBE)中会发生不同程度的溶解,影响结构安全。候选结构材料铁素体/马氏体钢T91与不锈钢316在550℃饱和氧LBE环境中发生快速氧化腐蚀;溶解氧浓度降至1.26 × 10<sup>-6</sup>% (质量分数)可减轻T91的液态LBE腐蚀,但低于1 × 10<sup>-6</sup>%时,T91与316钢发生溶解腐蚀;T91液态LBE脆化敏感性高,导致其在350℃液态LBE中腐蚀疲劳寿命显著降低。与商用的(9%~12%)Cr铁素体/马氏体钢和316型奥氏体不锈钢相比,经微合金化的Si增强型铁素体/马氏体钢(9Cr-Si和12Cr-Si)和奥氏体不锈钢(ASS-Si),具有较好的组织稳定性和综合力学性能,且在液态LBE中形成的富Si氧化物提高了氧化膜的致密性,改善了其耐腐蚀性能,在550℃下静态饱和氧和动态控氧LBE环境中的溶解腐蚀受到抑制,有望满足铅冷快堆的设计需求。
Effect of LWR coolant environments on the fatigue life of reactor materials
[R].
Environmental fatigue evaluation method for nuclear power plants
[R].
The corrosion behavior of aluminum in natural waters
[J].
Probability approach for prediction of corrosion and corrosion fatigue life
[J].
Life prediction of aircraft aluminum subjected to pitting corrosion under fatigue conditions
[J].
Corrosion fatigue life prediction of a steel shaft material in seawater
[J].
A critical analysis of crack propagation laws
[J].
A microstructure-based time-dependent crack growth model for life and reliability prediction of turbopropulsion systems
[J].
A quantitative analysis of hydrogen trapping
[J].
Predicting the kinetics of hydrogen generation at the tips of corrosion fatigue cracks
[J].
Application of scratching electrode method for corrosion fatigue
[J].
A unified classical maximum likelihood approach for estimating P-S-N curves of three commonly used fatigue stress-life relations
[J].
估计三种常用疲劳应力-寿命模型P-S-N曲线的统一经典极大似然法
[J].
Research progress on corrosion fatigue life prediction models of metal structural materials
[J].
金属结构材料腐蚀疲劳寿命预测模型的研究进展
[J].
A machine-learning fatigue life prediction approach of additively manufactured metals
[J].
Machine learning based fatigue life prediction with effects of additive manufacturing process parameters for printed SS 316L
[J].
Prediction of corrosion-fatigue behavior of DP steel through artificial neural network
[J].
A physics-informed neural network for creep-fatigue life prediction of components at elevated temperatures
[J].
Fatigue life prediction using hybrid prognosis for structural health monitoring
[J].
Reviewing the progress of corrosion fatigue research on marine structures
[J].This paper reviews the state-of-the-art progress of research into corrosion fatigue on marine structures, both theoretical and experimental. This includes corrosion fatigue life prediction models/methods, load–environment interaction/coupling test methods, accelerated corrosion methods in corrosion fatigue testing, fatigue crack measurement, and corrosion fatigue life assessment in the whole life period. To date, some theoretical models and methods for predicting the corrosion fatigue life of metallic materials or structures have been proposed and applied. Meanwhile, load–environment interaction/coupling testing on metallic material specimens has been maturely developed and widely applied. Some newly developed corrosion fatigue theoretical and experimental methods, based on data-driven machine learning and at-sea monitoring, have received preliminary application. This review of accelerated corrosion methods, fatigue crack measurement methods, and corrosion fatigue life assessment for marine structures in the whole-life period has been undertaken by extensive reference to relevant studies conducted worldwide. Challenges and recommendations for further developing and improving corrosion fatigue assessment methods and test techniques are also reported and discussed.
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