Pub Date : 2025-02-07DOI: 10.1016/j.engfracmech.2024.110725
Xiao-Ping Zhou , Er-Bao Du
In this paper, a two-dimensional adaptive non-uniform discretization bond-based peridynamics is proposed, aimed at investigating the fracture behavior of brittle materials under static and dynamic conditions. The proposed method is grounded in Delaunay triangular discretization and utilizes the self-similarity principle to refine the damage location. The new contribution of this work is that the non-uniform discretization of computational domain can be achieved without knowing the crack propagation path in advance, and the adaptive refinement of the damage position through the proposed method can be better realized. Four numerical cases of static or dynamic fracture under two-dimensional conditions are investigated, and the numerical results obtained by the proposed method are in good agreement with those obtained by non-uniform discrete peridynamic methods with knowing crack propagation path in advance and other numerical methods, such as DYNA3D. The results show that the proposed method can well realize the tracking of crack propagation paths, and can handle problems such as dynamic fracture, complex structural fracture, multi-crack interaction, and so on.
{"title":"A two-dimensional adaptive non-uniform discretization bond-based peridynamics for static and dynamic fracture in brittle materials","authors":"Xiao-Ping Zhou , Er-Bao Du","doi":"10.1016/j.engfracmech.2024.110725","DOIUrl":"10.1016/j.engfracmech.2024.110725","url":null,"abstract":"<div><div>In this paper, a two-dimensional adaptive non-uniform discretization bond-based peridynamics is proposed, aimed at investigating the fracture behavior of brittle materials under static and dynamic conditions. The proposed method is grounded in Delaunay triangular discretization and utilizes the self-similarity principle to refine the damage location. The new contribution of this work is that the non-uniform discretization of computational domain can be achieved without knowing the crack propagation path in advance, and the adaptive refinement of the damage position through the proposed method can be better realized. Four numerical cases of static or dynamic fracture under two-dimensional conditions are investigated, and the numerical results obtained by the proposed method are in good agreement with those obtained by non-uniform discrete peridynamic methods with knowing crack propagation path in advance and other numerical methods, such as DYNA3D. The results show that the proposed method can well realize the tracking of crack propagation paths, and can handle problems such as dynamic fracture, complex structural fracture, multi-crack interaction, and so on.</div></div>","PeriodicalId":11576,"journal":{"name":"Engineering Fracture Mechanics","volume":"314 ","pages":"Article 110725"},"PeriodicalIF":4.7,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143165918","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}
Pub Date : 2025-02-07DOI: 10.1016/j.engfracmech.2024.110722
Jingwei Li , Le Chang , Dalin Zheng , Zhuowu Wang , Wei Zhang , Yu Ji , Changyu Zhou
This study quantitatively investigates the influence of loading parameters and directions on the behavior of small fatigue cracks (SFC) in commercially pure titanium (CP-Ti). It is observed that reductions in peak stress and increases in stress ratio correlate with a decrease in SFC growth rate and an intensification of growth rate fluctuations. Notably, crack growth along the transverse direction (TD) generally exhibits lower rates compared to that along the rolling direction (RD), with more pronounced fluctuations. Through metallographic analysis of crack paths, roughness-induced crack closure (RICC) is identified as a significant factor contributing to the observed variations in SFC growth behavior under different loading conditions. Furthermore, electron backscatter diffraction (EBSD) characterization reveals that crack propagation along the RD is primarily governed by prismatic slip, while TD samples exhibit more engagement of non-prismatic slip systems with higher activation stress. This results in a more tortuous crack path and pronounced crack arrest phenomena. Finally, a modified multi-scale rate prediction model based on the reference stress ratio method is proposed. Comparative analysis demonstrates that the modified model outperforms existing models by offering enhanced predictive capability across diverse loading conditions, thereby reinforcing its robustness in predicting SFC behavior of CP-Ti.
{"title":"In-situ experimental investigation of the small fatigue crack behavior in CP-Ti: The influence of loading parameters and directions","authors":"Jingwei Li , Le Chang , Dalin Zheng , Zhuowu Wang , Wei Zhang , Yu Ji , Changyu Zhou","doi":"10.1016/j.engfracmech.2024.110722","DOIUrl":"10.1016/j.engfracmech.2024.110722","url":null,"abstract":"<div><div>This study quantitatively investigates the influence of loading parameters and directions on the behavior of small fatigue cracks (SFC) in commercially pure titanium (CP-Ti). It is observed that reductions in peak stress and increases in stress ratio correlate with a decrease in SFC growth rate and an intensification of growth rate fluctuations. Notably, crack growth along the transverse direction (TD) generally exhibits lower rates compared to that along the rolling direction (RD), with more pronounced fluctuations. Through metallographic analysis of crack paths, roughness-induced crack closure (RICC) is identified as a significant factor contributing to the observed variations in SFC growth behavior under different loading conditions. Furthermore, electron backscatter diffraction (EBSD) characterization reveals that crack propagation along the RD is primarily governed by prismatic slip, while TD samples exhibit more engagement of non-prismatic slip systems with higher activation stress. This results in a more tortuous crack path and pronounced crack arrest phenomena. Finally, a modified multi-scale rate prediction model based on the reference stress ratio method is proposed. Comparative analysis demonstrates that the modified model outperforms existing models by offering enhanced predictive capability across diverse loading conditions, thereby reinforcing its robustness in predicting SFC behavior of CP-Ti.</div></div>","PeriodicalId":11576,"journal":{"name":"Engineering Fracture Mechanics","volume":"314 ","pages":"Article 110722"},"PeriodicalIF":4.7,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143165922","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}
Pub Date : 2025-02-07DOI: 10.1016/j.engfracmech.2024.110696
Xiangnan Qin , Xin Wang , Jinjun Guo , Bo Xu , Weiqi Lin , Kun Wang , Xudong Chen
This study investigates the parameter sensitivity and computational efficiency of the Phase-field Cohesive Zone Model (PF-CZM) for mesoscale fracture behavior simulation of fully-graded concrete under uniaxial tension. The developed mesoscale model exhibits relatively low mesh sensitivity and successfully captures the complete crack propagation path from damage initiation to ultimate failure in concrete. By integrating classical experimental results, this study evaluates the influence of computational parameters on the simulation results of fully-graded concrete specimens, including time-stepping, convergence tolerance, length scale parameter and mesh element size. The findings indicate that the mechanical response and energy variation of concrete during the plastic and softening stages are closely related to the time-stepping, while the computational efficiency is highly dependent on both time-stepping and convergence tolerance. Furthermore, the effective preferences are recommended for these computational parameters. Based on the evaluation results of the obtained parameters, the adjusted mesoscale model primarily shows dispersed cracks randomly distributed around the aggregates in the vertical direction, without excessive localized discrete damage. The unified phase-field damage theory was systematically validated for its applicability and effectiveness in heterogeneous quasi-brittle materials during this process.
{"title":"Parameter investigation and efficiency evaluation of unified phase-field theory in mesoscale fracture analysis of fully-graded concrete under uniaxial tension","authors":"Xiangnan Qin , Xin Wang , Jinjun Guo , Bo Xu , Weiqi Lin , Kun Wang , Xudong Chen","doi":"10.1016/j.engfracmech.2024.110696","DOIUrl":"10.1016/j.engfracmech.2024.110696","url":null,"abstract":"<div><div>This study investigates the parameter sensitivity and computational efficiency of the Phase-field Cohesive Zone Model (PF-CZM) for mesoscale fracture behavior simulation of fully-graded concrete under uniaxial tension. The developed mesoscale model exhibits relatively low mesh sensitivity and successfully captures the complete crack propagation path from damage initiation to ultimate failure in concrete. By integrating classical experimental results, this study evaluates the influence of computational parameters on the simulation results of fully-graded concrete specimens, including time-stepping, convergence tolerance, length scale parameter and mesh element size. The findings indicate that the mechanical response and energy variation of concrete during the plastic and softening stages are closely related to the time-stepping, while the computational efficiency is highly dependent on both time-stepping and convergence tolerance. Furthermore, the effective preferences are recommended for these computational parameters. Based on the evaluation results of the obtained parameters, the adjusted mesoscale model primarily shows dispersed cracks randomly distributed around the aggregates in the vertical direction, without excessive localized discrete damage. The unified phase-field damage theory was systematically validated for its applicability and effectiveness in heterogeneous quasi-brittle materials during this process.</div></div>","PeriodicalId":11576,"journal":{"name":"Engineering Fracture Mechanics","volume":"314 ","pages":"Article 110696"},"PeriodicalIF":4.7,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143165924","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}
Aluminum alloys, valued for their low density and high strength-to-weight ratio, are crucial in the aerospace industry. To enhance their security and maintenance economy in service, this work employs a class incremental learning method (CIL) to predict the fatigue crack growth rate of 2xxx and 7xxx series aluminum alloys. The developed multi-dimensional autoencoder class incremental learning and data update monitoring feature enhanced prediction model (MDACIL-RTM-FIEP) integrates mechanical, environmental, and material features using variational autoencoders (VAE) for deep feature learning. Results show that the model, through the data update monitoring and incremental triggering mechanism (DUM-IT), adapts effectively to data changes, significantly enhancing prediction accuracy. The model’s fatigue crack growth rate (FCGR) incremental learning accuracy (IAC) improved to 0.9644 from 0.8715, and its backward transfer (BT) value decreased to −0.0182 from −0.6325, indicating excellent adaptability of new knowledge and retention of old knowledge. It also addresses the “catastrophic forgetting” issue, underscoring the effectiveness of CIL strategies in dynamic data environments.
{"title":"Dynamic prediction of aluminum alloy fatigue crack growth rate based on class incremental learning and multi-dimensional variational autoencoder","authors":"Yufeng Peng , Yongzhen Zhang , Lijun Zhang , Leijiang Yao , Xiaoyan Tong , Xingpeng Guo","doi":"10.1016/j.engfracmech.2024.110721","DOIUrl":"10.1016/j.engfracmech.2024.110721","url":null,"abstract":"<div><div>Aluminum alloys, valued for their low density and high strength-to-weight ratio, are crucial in the aerospace industry. To enhance their security and maintenance economy in service, this work employs a class incremental learning method (CIL) to predict the fatigue crack growth rate of 2xxx and 7xxx series aluminum alloys. The developed multi-dimensional autoencoder class incremental learning and data update monitoring feature enhanced prediction model (MDACIL-RTM-FIEP) integrates mechanical, environmental, and material features using variational autoencoders (VAE) for deep feature learning. Results show that the model, through the data update monitoring and incremental triggering mechanism (DUM-IT), adapts effectively to data changes, significantly enhancing prediction accuracy. The model’s fatigue crack growth rate (FCGR) incremental learning accuracy (IAC) improved to 0.9644 from 0.8715, and its backward transfer (BT) value decreased to −0.0182 from −0.6325, indicating excellent adaptability of new knowledge and retention of old knowledge. It also addresses the “catastrophic forgetting” issue, underscoring the effectiveness of CIL strategies in dynamic data environments.</div></div>","PeriodicalId":11576,"journal":{"name":"Engineering Fracture Mechanics","volume":"314 ","pages":"Article 110721"},"PeriodicalIF":4.7,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166100","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}
The depletion of shallow resources has prompted mining activities to move deeper regions, and the presence of geostress significantly affects the propagation behavior of cracks. However, the propagation law and underlying mechanism of explosive cracks under different biaxial stress fields remain unclear. This study employs dynamic photoelastic testing method to achieve stress visualization and applies different biaxial loads to epoxy resin specimens. It simulates the propagation behavior of two opposite propagating explosive cracks under different geostress conditions and examines the effects of explosive stress waves and stress fields at crack tips on nearby cracks. The results indicate that during the interaction phase of cracks, there are Type I circular fringes dominated by , characterized by small in the middle and large on both sides of the photoelastic fringes, while Type II circular fringes dominated by , exactly the opposite; Under the same conditions, the inhibitory effect of the pressure in the direction of vertical crack propagation is greater than the promoting effect of that of parallel crack propagation; The final propagation direction of the main crack is basically the same as the propagation direction of the explosive stress wave and the maximum principal stress. The research results contribute to reveal the dynamic propagation law of cracks under high geostress and provide strong support for the engineering application of directional fracture blasting.
{"title":"The influence of biaxial loads on the dynamic crack interaction of two opposite propagating","authors":"Shengnan Xu, Zhongwen Yue, Peng Wang, Xingyuan Zhou, Meng Ren, Haoyang Jiang","doi":"10.1016/j.engfracmech.2024.110732","DOIUrl":"10.1016/j.engfracmech.2024.110732","url":null,"abstract":"<div><div>The depletion of shallow resources has prompted mining activities to move deeper regions, and the presence of geostress significantly affects the propagation behavior of cracks. However, the propagation law and underlying mechanism of explosive cracks under different biaxial stress fields remain unclear. This study employs dynamic photoelastic testing method to achieve stress visualization and applies different biaxial loads to epoxy resin specimens. It simulates the propagation behavior of two opposite propagating explosive cracks under different geostress conditions and examines the effects of explosive stress waves and stress fields at crack tips on nearby cracks. The results indicate that during the interaction phase of cracks, there are Type I circular fringes dominated by <span><math><msubsup><mi>K</mi><mi>I</mi><mi>d</mi></msubsup></math></span>, characterized by small in the middle and large on both sides of the photoelastic fringes, while Type II circular fringes dominated by <span><math><msubsup><mi>K</mi><mrow><mi>II</mi></mrow><mi>d</mi></msubsup></math></span>, exactly the opposite; Under the same conditions, the inhibitory effect of the pressure in the direction of vertical crack propagation is greater than the promoting effect of that of parallel crack propagation; The final propagation direction of the main crack is basically the same as the propagation direction of the explosive stress wave and the maximum principal stress. The research results contribute to reveal the dynamic propagation law of cracks under high geostress and provide strong support for the engineering application of directional fracture blasting.</div></div>","PeriodicalId":11576,"journal":{"name":"Engineering Fracture Mechanics","volume":"314 ","pages":"Article 110732"},"PeriodicalIF":4.7,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166102","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}
Pub Date : 2025-02-07DOI: 10.1016/j.engfracmech.2024.110790
Wenpu Li , Zhao Gao , Guorui Feng , Ruiqing Hao , Yuguo Zhou , Yaoguang Chen , Shilong Liu , Huan Zhang , Tao Wang
The study of mechanical properties and quantitative characterization of fissured rock masses under mining unloading conditions is crucial for ensuring the safety of underground engineering excavations. Research on the strength characteristics and damage features of rock bodies with different inclination angles of cracks under true-triaxial unloading conditions, and analyse the influence of the path on the fissure extension rules. Simultaneously, based on the YOLO (You Only Look Once) object detection model, an automatic crack detection method with a deep learning model of computer vision is proposed. The study indicates that rock masses with a single fissure exhibit lower peak strength and failure strain under unloading conditions. The stress–strain curves and strength properties of the constant axial pressure single-sided unloaded specimens at the same inclination have similarities, and the response of the incremental axial pressure single-sided unloading to the external load is relatively slow. Under the same stress path, the peak strength of the specimens tends to increase with the greater fissure dip angle, and the peak strength and strain show greater sensitivity to changes in the stress path. The crack types of the specimens after unloading damage were classified into two types of tensile cracks, three types of shear cracks, two types of far-field cracks, and surface spalling, and their damage characteristics were analyzed. The accuracy, recall, and mean average precision of the proposed quantitative characterization detection model for fissures exceed 80%, and it can effectively improve the intelligent recognition of the fissure rock rupture process with good robustness by training the fissure rock rupture images under unloading conditions. This study has important guiding significance for rock damage monitoring in deep engineering.
{"title":"Damage characteristics and YOLO automated crack detection of fissured rock masses under true-triaxial mining unloading conditions","authors":"Wenpu Li , Zhao Gao , Guorui Feng , Ruiqing Hao , Yuguo Zhou , Yaoguang Chen , Shilong Liu , Huan Zhang , Tao Wang","doi":"10.1016/j.engfracmech.2024.110790","DOIUrl":"10.1016/j.engfracmech.2024.110790","url":null,"abstract":"<div><div>The study of mechanical properties and quantitative characterization of fissured rock masses under mining unloading conditions is crucial for ensuring the safety of underground engineering excavations. Research on the strength characteristics and damage features of rock bodies with different inclination angles of cracks under true-triaxial unloading conditions, and analyse the influence of the path on the fissure extension rules. Simultaneously, based on the YOLO (You Only Look Once) object detection model, an automatic crack detection method with a deep learning model of computer vision is proposed. The study indicates that rock masses with a single fissure exhibit lower peak strength and failure strain under unloading conditions. The stress–strain curves and strength properties of the constant axial pressure single-sided unloaded specimens at the same inclination have similarities, and the response of the incremental axial pressure single-sided unloading to the external load is relatively slow. Under the same stress path, the peak strength of the specimens tends to increase with the greater fissure dip angle, and the peak strength and strain show greater sensitivity to changes in the stress path. The crack types of the specimens after unloading damage were classified into two types of tensile cracks, three types of shear cracks, two types of far-field cracks, and surface spalling, and their damage characteristics were analyzed. The accuracy, recall, and mean average precision of the proposed quantitative characterization detection model for fissures exceed 80%, and it can effectively improve the intelligent recognition of the fissure rock rupture process with good robustness by training the fissure rock rupture images under unloading conditions. This study has important guiding significance for rock damage monitoring in deep engineering<sub>.</sub></div></div>","PeriodicalId":11576,"journal":{"name":"Engineering Fracture Mechanics","volume":"314 ","pages":"Article 110790"},"PeriodicalIF":4.7,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143164563","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}
Pub Date : 2025-02-07DOI: 10.1016/j.engfracmech.2024.110739
D. Clement , C. Jacquemoud , S. Chapuliot , S. Marie
This paper presents the use of a simple threshold stress criterion to exclude the risk of brittle fracture in the brittle-to-ductile transition temperature range of carbon-manganese ferritic steel. In order to compare its predictions for laboratory specimens as well as for structures, fracture tests on CT specimens and three pipe structures representative of the in-service auxiliary piping system of French PWR, were analysed. In association with Finite Element analyses, this criterion allowed the authors to predict a lower bound of the non-fracture threshold.
{"title":"A simple criterion to exclude the risk of brittle fracture in the brittle-to-ductile transition temperature range","authors":"D. Clement , C. Jacquemoud , S. Chapuliot , S. Marie","doi":"10.1016/j.engfracmech.2024.110739","DOIUrl":"10.1016/j.engfracmech.2024.110739","url":null,"abstract":"<div><div>This paper presents the use of a simple threshold stress criterion to exclude the risk of brittle fracture in the brittle-to-ductile transition temperature range of carbon-manganese ferritic steel. In order to compare its predictions for laboratory specimens as well as for structures, fracture tests on CT specimens and three pipe structures representative of the in-service auxiliary piping system of French PWR, were analysed. In association with Finite Element analyses, this criterion allowed the authors to predict a lower bound of the non-fracture threshold.</div></div>","PeriodicalId":11576,"journal":{"name":"Engineering Fracture Mechanics","volume":"314 ","pages":"Article 110739"},"PeriodicalIF":4.7,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143164995","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}
Pub Date : 2025-02-07DOI: 10.1016/j.engfracmech.2024.110751
Berk Tekkaya , Jiaojiao Wu , Michael Dölz , Junhe Lian , Sebastian Münstermann
The automotive industry faces significant challenges in achieving climate targets and becoming CO neutral. To reduce the weight of body in white specially in electrical vehicles, advanced high-strength and ultra-high-strength steels are utilized. These steels must resist hydrogen-induced softening and ductile/cleavage damage during the production process. A stress-state dependent coupled chemical–mechanical damage mechanics model is developed in implicit and explicit versions to predict hydrogen-induced damage in CP1000 steel. In-situ Slow-Strain-Rate-Tests under hydrogen loading serve to validate the model and show the significant impact of stress-state on hydrogen diffusion. Both models accurately predict damage initiation, evolution, and fracture under hydrogen influence.
{"title":"Coupled chemical–mechanical damage modeling of hydrogen-induced material degradation","authors":"Berk Tekkaya , Jiaojiao Wu , Michael Dölz , Junhe Lian , Sebastian Münstermann","doi":"10.1016/j.engfracmech.2024.110751","DOIUrl":"10.1016/j.engfracmech.2024.110751","url":null,"abstract":"<div><div>The automotive industry faces significant challenges in achieving climate targets and becoming CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> neutral. To reduce the weight of body in white specially in electrical vehicles, advanced high-strength and ultra-high-strength steels are utilized. These steels must resist hydrogen-induced softening and ductile/cleavage damage during the production process. A stress-state dependent coupled chemical–mechanical damage mechanics model is developed in implicit and explicit versions to predict hydrogen-induced damage in CP1000 steel. In-situ Slow-Strain-Rate-Tests under hydrogen loading serve to validate the model and show the significant impact of stress-state on hydrogen diffusion. Both models accurately predict damage initiation, evolution, and fracture under hydrogen influence.</div></div>","PeriodicalId":11576,"journal":{"name":"Engineering Fracture Mechanics","volume":"314 ","pages":"Article 110751"},"PeriodicalIF":4.7,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143165252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-07DOI: 10.1016/j.engfracmech.2024.110743
Silvain Michel , Anthony J. Kinloch , Rhys Jones
The European Structural Integrity Society (ESIS), Technical Committee 4 (TC4), has initiated a Round-Robin program on the Mode I delamination growth in a continuous carbon-fibre reinforced-plastic (CFRP) composite under fatigue loading, using Mode I double-cantilever (DCB) tests. The present paper shows that the Hartman-Schijve equation, determined with test data generated under R = 0.1, can be used to compute the fatigue crack growth (FCG) associated with tests performed at R = 0.3, 0.5 and 0.7, where R is the load ratio (=Pmin/Pmax). Most importantly, the Hartman-Schijve methodology may be used to determine a worst-case upper-bound da/dN versus FCG curve for small naturally-occurring delaminations in the CFRP.
{"title":"Cyclic-fatigue crack growth in polymer composites: Data interpretation via the Hartman-Schijve methodology","authors":"Silvain Michel , Anthony J. Kinloch , Rhys Jones","doi":"10.1016/j.engfracmech.2024.110743","DOIUrl":"10.1016/j.engfracmech.2024.110743","url":null,"abstract":"<div><div>The European Structural Integrity Society (ESIS), Technical Committee 4 (TC4), has initiated a Round-Robin program on the Mode I delamination growth in a continuous carbon-fibre reinforced-plastic (CFRP) composite under fatigue loading, using Mode I double-cantilever (DCB) tests. The present paper shows that the Hartman-Schijve equation, determined with test data generated under <em>R</em> = 0.1, can be used to compute the fatigue crack growth (FCG) associated with tests performed at <em>R</em> = 0.3, 0.5 and 0.7, where <em>R</em> is the load ratio (=<em>P</em><sub>min</sub>/<em>P</em><sub>max</sub>). Most importantly, the Hartman-Schijve methodology may be used to determine a worst-case upper-bound <em>da/dN</em> versus <span><math><mrow><mi>Δ</mi><msqrt><mrow><mi>G</mi></mrow></msqrt></mrow></math></span> FCG curve for small naturally-occurring delaminations in the CFRP.</div></div>","PeriodicalId":11576,"journal":{"name":"Engineering Fracture Mechanics","volume":"314 ","pages":"Article 110743"},"PeriodicalIF":4.7,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143165256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-07DOI: 10.1016/j.engfracmech.2024.110676
Yao Liu , Xiangxi Gao , Siyao Zhu , Yuhuai He , Wei Xu
A machine learning (ML) approach is introduced to predict the high-cycle fatigue (HCF) life of selective laser melted (SLM) TA15 titanium alloy, addressing life prediction variability caused by defect characteristics and spatial distribution. Using HCF data, tensile properties, and defect characteristics across different building directions (BD), a training dataset was established. Comparative analysis shows that incorporating defect parameters significantly enhances the prediction accuracy of the ML model. Correlation analysis identified Adefect/h as highly relevant to fatigue life, enabling a refined training dataset. Incorporating this defect parameter significantly improved the ML model’s prediction accuracy. The S-N curve generated from predictions using defect values at 50 % reliability appeared relatively conservative compared to the experimental S-N median curve. The S-N curve at ± 3σ reliability closely aligned with experimental results, encompassing nearly all data points. This highlights the potential of the ML approach in predicting fatigue life for SLM titanium alloys.
{"title":"Fatigue life prediction of selective laser melted titanium alloy based on a machine learning approach","authors":"Yao Liu , Xiangxi Gao , Siyao Zhu , Yuhuai He , Wei Xu","doi":"10.1016/j.engfracmech.2024.110676","DOIUrl":"10.1016/j.engfracmech.2024.110676","url":null,"abstract":"<div><div>A machine learning (ML) approach is introduced to predict the high-cycle fatigue (HCF) life of selective laser melted (SLM) TA15 titanium alloy, addressing life prediction variability caused by defect characteristics and spatial distribution. Using HCF data, tensile properties, and defect characteristics across different building directions (BD), a training dataset was established. Comparative analysis shows that incorporating defect parameters significantly enhances the prediction accuracy of the ML model. Correlation analysis identified <em>A</em><sub>defect</sub>/<em>h</em> as highly relevant to fatigue life, enabling a refined training dataset. Incorporating this defect parameter significantly improved the ML model’s prediction accuracy. The <em>S-N</em> curve generated from predictions using defect values at 50 % reliability appeared relatively conservative compared to the experimental <em>S-N</em> median curve. The <em>S-N</em> curve at ± 3<em>σ</em> reliability closely aligned with experimental results, encompassing nearly all data points. This highlights the potential of the ML approach in predicting fatigue life for SLM titanium alloys.</div></div>","PeriodicalId":11576,"journal":{"name":"Engineering Fracture Mechanics","volume":"314 ","pages":"Article 110676"},"PeriodicalIF":4.7,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143165303","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}
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