Jiayin Fu , Xun Yang , Da Guo , Yanyan Li , Tianen Yang , Zhehao Wang , Ling Chen
{"title":"深部原位保心取心:一种新的储压室全周期裂纹扩展模型","authors":"Jiayin Fu , Xun Yang , Da Guo , Yanyan Li , Tianen Yang , Zhehao Wang , Ling Chen","doi":"10.1016/j.ijfatigue.2025.109321","DOIUrl":null,"url":null,"abstract":"<div><div>The pressure storage chamber (PSC) for deep in-situ core-preserved coring (ICP-Coring) serves as the key component for in-situ coring and preserving of deep core samples. Subject to long-term in-situ high-temperature and high-pressure loads during service, the chamber surface is prone to fatigue crack initiation and progressive propagation, which may eventually lead to structural failure. To ensure its operational safety, gaining a deep insight into the full-cycle evolution process of surface crack propagation in the PSC is critical. Since existing formulations cannot adequately analyze multi-factor coupling effects, this study develops a full-cycle crack size propagation iterative model (FCS-PI model) for PSC surface cracks to address this limitation. This model incorporates a correction mechanism accounting for the coupled effects of stress states, material microstructures, and environmental factors, enabling the quantitative characterization of the full life cycle of crack propagation in PSC. The universality and accuracy of the proposed iterative model are validated by comparing crack propagation theory calculations with practical engineering cases. The FCS-PI model accurately predicts the fatigue crack growth rate (FCGR), yielding a sum of squared error (SSE) of 6.05 × 10<sup>-6</sup> and an average deviation of only 1 % in predicting the critical cycle number (<em>N<sub>c</sub></em>). Furthermore, it demonstrates the smallest crack size deviations—2.2 mm in depth and 6.9 mm in length—outperforming the NASGRO, Forman, and Walker models. The model developed in this study effectively characterizes the full-cycle crack propagation of PSC, providing a more accurate approach for the safety assessment of surface crack-induced failure under high-temperature and high-pressure loading.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"203 ","pages":"Article 109321"},"PeriodicalIF":6.8000,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Deep in-situ core-preserved coring: A novel full-cycle crack propagation model of the pressure storage chamber\",\"authors\":\"Jiayin Fu , Xun Yang , Da Guo , Yanyan Li , Tianen Yang , Zhehao Wang , Ling Chen\",\"doi\":\"10.1016/j.ijfatigue.2025.109321\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The pressure storage chamber (PSC) for deep in-situ core-preserved coring (ICP-Coring) serves as the key component for in-situ coring and preserving of deep core samples. Subject to long-term in-situ high-temperature and high-pressure loads during service, the chamber surface is prone to fatigue crack initiation and progressive propagation, which may eventually lead to structural failure. To ensure its operational safety, gaining a deep insight into the full-cycle evolution process of surface crack propagation in the PSC is critical. Since existing formulations cannot adequately analyze multi-factor coupling effects, this study develops a full-cycle crack size propagation iterative model (FCS-PI model) for PSC surface cracks to address this limitation. This model incorporates a correction mechanism accounting for the coupled effects of stress states, material microstructures, and environmental factors, enabling the quantitative characterization of the full life cycle of crack propagation in PSC. The universality and accuracy of the proposed iterative model are validated by comparing crack propagation theory calculations with practical engineering cases. The FCS-PI model accurately predicts the fatigue crack growth rate (FCGR), yielding a sum of squared error (SSE) of 6.05 × 10<sup>-6</sup> and an average deviation of only 1 % in predicting the critical cycle number (<em>N<sub>c</sub></em>). Furthermore, it demonstrates the smallest crack size deviations—2.2 mm in depth and 6.9 mm in length—outperforming the NASGRO, Forman, and Walker models. The model developed in this study effectively characterizes the full-cycle crack propagation of PSC, providing a more accurate approach for the safety assessment of surface crack-induced failure under high-temperature and high-pressure loading.</div></div>\",\"PeriodicalId\":14112,\"journal\":{\"name\":\"International Journal of Fatigue\",\"volume\":\"203 \",\"pages\":\"Article 109321\"},\"PeriodicalIF\":6.8000,\"publicationDate\":\"2025-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Fatigue\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0142112325005183\",\"RegionNum\":2,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MECHANICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Fatigue","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0142112325005183","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
Deep in-situ core-preserved coring: A novel full-cycle crack propagation model of the pressure storage chamber
The pressure storage chamber (PSC) for deep in-situ core-preserved coring (ICP-Coring) serves as the key component for in-situ coring and preserving of deep core samples. Subject to long-term in-situ high-temperature and high-pressure loads during service, the chamber surface is prone to fatigue crack initiation and progressive propagation, which may eventually lead to structural failure. To ensure its operational safety, gaining a deep insight into the full-cycle evolution process of surface crack propagation in the PSC is critical. Since existing formulations cannot adequately analyze multi-factor coupling effects, this study develops a full-cycle crack size propagation iterative model (FCS-PI model) for PSC surface cracks to address this limitation. This model incorporates a correction mechanism accounting for the coupled effects of stress states, material microstructures, and environmental factors, enabling the quantitative characterization of the full life cycle of crack propagation in PSC. The universality and accuracy of the proposed iterative model are validated by comparing crack propagation theory calculations with practical engineering cases. The FCS-PI model accurately predicts the fatigue crack growth rate (FCGR), yielding a sum of squared error (SSE) of 6.05 × 10-6 and an average deviation of only 1 % in predicting the critical cycle number (Nc). Furthermore, it demonstrates the smallest crack size deviations—2.2 mm in depth and 6.9 mm in length—outperforming the NASGRO, Forman, and Walker models. The model developed in this study effectively characterizes the full-cycle crack propagation of PSC, providing a more accurate approach for the safety assessment of surface crack-induced failure under high-temperature and high-pressure loading.
期刊介绍:
Typical subjects discussed in International Journal of Fatigue address:
Novel fatigue testing and characterization methods (new kinds of fatigue tests, critical evaluation of existing methods, in situ measurement of fatigue degradation, non-contact field measurements)
Multiaxial fatigue and complex loading effects of materials and structures, exploring state-of-the-art concepts in degradation under cyclic loading
Fatigue in the very high cycle regime, including failure mode transitions from surface to subsurface, effects of surface treatment, processing, and loading conditions
Modeling (including degradation processes and related driving forces, multiscale/multi-resolution methods, computational hierarchical and concurrent methods for coupled component and material responses, novel methods for notch root analysis, fracture mechanics, damage mechanics, crack growth kinetics, life prediction and durability, and prediction of stochastic fatigue behavior reflecting microstructure and service conditions)
Models for early stages of fatigue crack formation and growth that explicitly consider microstructure and relevant materials science aspects
Understanding the influence or manufacturing and processing route on fatigue degradation, and embedding this understanding in more predictive schemes for mitigation and design against fatigue
Prognosis and damage state awareness (including sensors, monitoring, methodology, interactive control, accelerated methods, data interpretation)
Applications of technologies associated with fatigue and their implications for structural integrity and reliability. This includes issues related to design, operation and maintenance, i.e., life cycle engineering
Smart materials and structures that can sense and mitigate fatigue degradation
Fatigue of devices and structures at small scales, including effects of process route and surfaces/interfaces.