Engineering Fracture Mechanics最新文献_第4页

A probabilistic model to consider scale and gradient effects in the prediction of the fatigue life of Inconel 718 for turbine disk application

IF 4.7 2区工程技术

Engineering Fracture Mechanics Pub Date : 2025-04-01 DOI: 10.1016/j.engfracmech.2025.111086

J.P. Goulmy , M. Kaminski , F.H. Leroy , P. Kanoute

{"title":"A probabilistic model to consider scale and gradient effects in the prediction of the fatigue life of Inconel 718 for turbine disk application","authors":"J.P. Goulmy , M. Kaminski , F.H. Leroy , P. Kanoute","doi":"10.1016/j.engfracmech.2025.111086","DOIUrl":"10.1016/j.engfracmech.2025.111086","url":null,"abstract":"<div><div>The aim of this paper is to implement and compare different fatigue post-processing approaches for fatigue life assessment of complex parts. Inconel 718 is taken as an example, as it can exhibit several factors influencing fatigue life, such as mean stress, stress gradient and scale effects. Tests on different specimen geometries to exacerbate these effects were carried out at 550 °C. The range of service operating life is between 10<sup>3</sup> and 10<sup>6</sup> cycles. A modelling chain was then set up. A structural calculation was performed using an elasto-visco-plastic behavior law to obtain the mechanical fields at cycle stabilize. These values were finally exploited by applying a post-processing treatment approach to predict the fatigue life of the structure. Two main types of post-processing approach were investigated: standard and probabilistic. The way in which the different factors influencing fatigue life are considered, depending on the approach used, was discussed. Finally, the probabilistic volume approach yields better results, thanks to its ability to consider mean stress, stress gradient and scale effects in the proposed formulation.</div></div>","PeriodicalId":11576,"journal":{"name":"Engineering Fracture Mechanics","volume":"320 ","pages":"Article 111086"},"PeriodicalIF":4.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143783741","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}

引用次数: 0

A multiscale simulation method incorporating fiber distribution characteristics for off-axis tensile analysis of 2D woven SiCf/SiC

IF 4.7 2区工程技术

Engineering Fracture Mechanics Pub Date : 2025-04-01 DOI: 10.1016/j.engfracmech.2025.111061

Shaojing Dong , Kai Li , Xin Liu , Yifei Qiao , Xiuli Shen , Shuo Zhang

{"title":"A multiscale simulation method incorporating fiber distribution characteristics for off-axis tensile analysis of 2D woven SiCf/SiC","authors":"Shaojing Dong , Kai Li , Xin Liu , Yifei Qiao , Xiuli Shen , Shuo Zhang","doi":"10.1016/j.engfracmech.2025.111061","DOIUrl":"10.1016/j.engfracmech.2025.111061","url":null,"abstract":"<div><div>Ceramic matrix composites (CMCs) often experience complex loading conditions in practical applications, making it essential to study their mechanical behavior under off-axis tensile loads. This paper develops a multiscale modeling method to explore the nonlinear tensile behavior of 2D woven CMCs, considering the random distribution characteristics of fibers and pores within the CMCs. The fundamental mechanical properties of the fibers, interface, and matrix were determined through nanoindentation and fiber push-out experiments. The model accounted for the spatial randomness of fibers, employing Latin hypercube sampling on 87 SEM images to derive the smallest possible microscale representative volume element (RVE). A Weibull distribution was used to represent the pore in the matrix, and the effect of mesh density was investigated. CT scanning of the 2D woven CMC provided structural details of the composite, leading to the creation of a mesoscale RVE that includes fiber bundles, matrix, and structural pores. The nonlinear tensile behavior of the mesoscale RVE was studied, integrating the homogenized mechanical responses from the microscale RVE. The findings reveal that the matrix modulus is 1.8 times that of the fibers, the interface shear strength is approximately 16.1 ± 2.4 MPa, and the mode I energy release rate is about 1.9 ± 0.7 J/m<sup>2</sup>. The microscale RVE effectively captures the random distribution characteristics when its edge length is approximately 7.2 times the average fiber diameter. The elastic modulus of the mesoscale RVE shows less than 8 % deviation from the off-axis tensile test results at four different off-axis angles, and the error in predicting fracture strength remains within 20 %.</div></div>","PeriodicalId":11576,"journal":{"name":"Engineering Fracture Mechanics","volume":"320 ","pages":"Article 111061"},"PeriodicalIF":4.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143783660","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

Predicting high-cycle fatigue strength of precipitation-hardened Nickel-Based superalloys from transfer learning

IF 4.7 2区工程技术

Engineering Fracture Mechanics Pub Date : 2025-04-01 DOI: 10.1016/j.engfracmech.2025.111087

ZeYu Chen, Zhaojing Han, Shengbao Xia, ZhaoXuan Li, Qinglian Huang, Wei-Wei Xu

{"title":"Predicting high-cycle fatigue strength of precipitation-hardened Nickel-Based superalloys from transfer learning","authors":"ZeYu Chen, Zhaojing Han, Shengbao Xia, ZhaoXuan Li, Qinglian Huang, Wei-Wei Xu","doi":"10.1016/j.engfracmech.2025.111087","DOIUrl":"10.1016/j.engfracmech.2025.111087","url":null,"abstract":"<div><div>Addressing the challenges faced in high-cycle fatigue experimentation through information technology is a desired advancement in the research of Ni-based superalloys. In the present study, a transfer-learning (TR) convolutional neural network (CNN) model is established to break through the limitation of generalization performance in the case of a very small dataset by utilizing material prior information for fatigue strength (FS) prediction. A two-tiered TR framework was implemented, training CNNs on a large tensile dataset to develop source-trained models. This model was then fine-tuned on a smaller, specialized fatigue dataset, resulting in robust models for predicting FSs. It was found that prior to model transfer, the average training and testing accuracies on the large tensile dataset exceeded 95% and 85%, respectively. Following the transfer, the TRCNN model achieved an average testing accuracy of 92.0% on the small fatigue dataset, significantly outperforming the non-transfer CNN model, which recorded an accuracy of only 58.1%. The trained FS prediction models are employed in conjunction with optimization algorithms to forecast compositions of IN718 that exhibit enhanced FSs within a predefined feature space. A new IN718 alloy composition with a room temperature fatigue strength of 636 MPa was identified, surpassing the existing value by more than 25%. Further inquiry showed increasing the Fe content while decreasing the Ti and Nb content can enhance the fatigue strength of precipitation-hardened nickel-based superalloys at room temperature. It also suggests that extending the solution and aging times contribute to the enhancement of the alloy’s fatigue resistance.</div></div>","PeriodicalId":11576,"journal":{"name":"Engineering Fracture Mechanics","volume":"321 ","pages":"Article 111087"},"PeriodicalIF":4.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820583","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

Determination of fatigue crack tip location and plastic zone dimensions using displacement fields measured by digital image correlation method

IF 4.7 2区工程技术

Engineering Fracture Mechanics Pub Date : 2025-04-01 DOI: 10.1016/j.engfracmech.2025.111060

Xun Zhao, Jian Li, Jun-Ming Ge, Tao Sun, Han Deng, Jian-Guo Zhu

{"title":"Determination of fatigue crack tip location and plastic zone dimensions using displacement fields measured by digital image correlation method","authors":"Xun Zhao, Jian Li, Jun-Ming Ge, Tao Sun, Han Deng, Jian-Guo Zhu","doi":"10.1016/j.engfracmech.2025.111060","DOIUrl":"10.1016/j.engfracmech.2025.111060","url":null,"abstract":"<div><div>The advancement of Digital Image Correlation (DIC) has significantly increased interest in its application for fatigue crack tip location and plastic zone dimension assessment. Under cyclic loading, crack tip stress concentration complicates the crack tip field, often leading to significant systematic errors, making accurate crack tip location and plastic zone dimension assessment challenging. This paper introduces a method for identifying the location of crack tips in the course of crack growth based on the gradient of vertical displacement difference on both sides of the crack obtained through DIC, achieving a maximum error of 3% compared to microscopic observations. Furthermore, a methodology for evaluating the dimensions of plastic zones through the utilization of DIC out-of-plane displacement fields is presented. This method more accurately reflects plastic deformation at the crack tip and with the stress intensity factor in an exponential relationship, and the exponent becomes larger with the increase of load ratio, so it is an ideal parameter to characterize the fatigue crack growth under different load ratios. The proposed method indirectly obtains plastic zone dimensions by measuring out-of-plane displacements, by passing material parameters, yield criteria, stress conditions, crack length, and specimen geometry, and no need to calculate high gradient strain at the crack tip, enhancing calculation efficiency and accuracy.</div></div>","PeriodicalId":11576,"journal":{"name":"Engineering Fracture Mechanics","volume":"320 ","pages":"Article 111060"},"PeriodicalIF":4.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760990","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

Numerical investigation of anisotropic crack growth resistance of elastoplastic lattice structures

IF 4.7 2区工程技术

Engineering Fracture Mechanics Pub Date : 2025-03-31 DOI: 10.1016/j.engfracmech.2025.111104

Zhuangzhuang Wang , Qinglei Zeng , Ying Li

{"title":"Numerical investigation of anisotropic crack growth resistance of elastoplastic lattice structures","authors":"Zhuangzhuang Wang , Qinglei Zeng , Ying Li","doi":"10.1016/j.engfracmech.2025.111104","DOIUrl":"10.1016/j.engfracmech.2025.111104","url":null,"abstract":"<div><div>Lattice structures have considerable potential in various engineering applications due to their remarkable mechanical properties, such as light weight, high specific stiffness, strength, and energy absorption. However, their complex microstructure often leads to anisotropic fracture behavior under extreme loading conditions. Despite the growing interest in lattice materials, the anisotropic crack growth resistance remains poorly understood. This study investigates the anisotropic crack growth resistance of elastoplastic lattice structures through numerical simulations, focusing on the effects of material ductility (high-ductility vs. low-ductility) and loading rates (quasi-static vs. dynamic). The effect of lattice cell type is also examined. The results show that the ductility of the lattice structure has a significantly effect on the anisotropy of its fracture properties. Low-ductility triangular lattices and hexagonal lattices exhibit pronounced anisotropy in crack growth resistance. In contrast, high-ductility triangular lattices show nearly isotropic crack growth resistance, as the large plastic zone at the crack tip can mitigate the microstructural anisotropy of the lattice. The study also shows that the low-ductility of lattice structures enhances the rate dependence of fracture resistance. Under high-speed loading conditions, when crack propagation speeds exceed 350 m/s, significant inertia-induced toughening occurs. These findings offer valuable insights for designing lattice structures with improved fracture toughness and performance under various loading scenarios.</div></div>","PeriodicalId":11576,"journal":{"name":"Engineering Fracture Mechanics","volume":"320 ","pages":"Article 111104"},"PeriodicalIF":4.7,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143767899","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

Assessment of the viscoelasticity effects on the fracture resistance of polyacrylamide-alginate hydrogels

IF 4.7 2区工程技术

Engineering Fracture Mechanics Pub Date : 2025-03-31 DOI: 10.1016/j.engfracmech.2025.111105

A. Salazar , M. Martínez , C. Reinhards , A. Rico , J. Rodríguez

引用次数: 0

Mesoscale simulation on thermal cracking in concrete by using a coupled thermal–mechanical lattice Boltzmann-Peridynamic model

IF 4.7 2区工程技术

Engineering Fracture Mechanics Pub Date : 2025-03-31 DOI: 10.1016/j.engfracmech.2025.111101

Yue Zhang, Licheng Wang

{"title":"Mesoscale simulation on thermal cracking in concrete by using a coupled thermal–mechanical lattice Boltzmann-Peridynamic model","authors":"Yue Zhang, Licheng Wang","doi":"10.1016/j.engfracmech.2025.111101","DOIUrl":"10.1016/j.engfracmech.2025.111101","url":null,"abstract":"<div><div>Previous numerical models of thermal cracking in concrete often neglect the thermal exchange between crack surfaces and the surrounding air. Besides, they often face difficulties in accurately quantifying the crack width and length. This paper proposes a coupled thermal–mechanical Lattice Boltzmann-Peridynamic (LB-PD) model to simulate the thermal cracking in concrete on a mesoscopic scale. A generation-placement method is used to construct the concrete mesostructures. The thermal cracking process in concrete on mesoscale is modeled across multiple scales by adjusting the Lattice Boltzmann (LB) particle distribution function and defining various types of Peridynamic (PD) bonds. Thermal exchange effects at crack surfaces is dynamically captured through the real-time identification of these surfaces during the LB particle streaming process. Additionally, a multi-rate time integration method is applied to numerically solve the thermal–mechanical coupling process. The Zhang-Suen thinning algorithm is employed to extract the crack skeleton, enabling quantitative measurements of crack width and length. The accuracy of model is validated by comparing it with analytical solutions and experimental data. Finally, the effects of thermal source temperatures, thermal exchange on crack surfaces, and different aggregate volume fractions on the coupled evolution of thermal cracks and temperature are investigated by using the proposed model. Numerical simulations demonstrate that thermal exchange on crack surfaces further promotes crack propagation by enhancing temperature diffusion. In contrast, concrete with a higher aggregate content exhibits slower development of internal thermal cracks.</div></div>","PeriodicalId":11576,"journal":{"name":"Engineering Fracture Mechanics","volume":"320 ","pages":"Article 111101"},"PeriodicalIF":4.7,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143767900","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

A comparative study of the Representative Crack Element method and the Star-convex approach within phase-field fracture modeling

IF 4.7 2区工程技术

Engineering Fracture Mechanics Pub Date : 2025-03-30 DOI: 10.1016/j.engfracmech.2025.111041

Dong Zhao , Bin Li , Johannes Storm , Michael Kaliske

引用次数: 0

The effect of filling structure on the impact resistance of fused deposition 3D printed structures

IF 4.7 2区工程技术

Engineering Fracture Mechanics Pub Date : 2025-03-30 DOI: 10.1016/j.engfracmech.2025.111084

Yunfei Deng, Yijie Niu, Chunzhi Du

{"title":"The effect of filling structure on the impact resistance of fused deposition 3D printed structures","authors":"Yunfei Deng, Yijie Niu, Chunzhi Du","doi":"10.1016/j.engfracmech.2025.111084","DOIUrl":"10.1016/j.engfracmech.2025.111084","url":null,"abstract":"<div><div>The impact resistance of the 3D-printed sandwich structure is significantly affected by its internal filling structure. In this study, 3D-printed sandwich structures with different filling structures are designed and prepared. By carrying out low-speed impact experiments under the same impact energy and different impactors, the influence of the filling structure on the impact resistance of the 3D-printed sandwich structure is explored. Research shows that line-filled structures can only absorb approximately 30 % − 50 % of the energy of the impactor, and their average bearing capacity is only about 20 % of that of other configurations, making them unsuitable for filling in anti-impact protection structures. In contrast, the bearing capacity of surface-filled structures has an average improvement of about 40 % compared with volume-filled structures, exhibiting better anti-impact performance. Among them, the honeycomb filling structure has a relatively high peak load, and the overall damage depth of the specimen is relatively small, demonstrating more excellent anti-impact performance. This research provides a reference for the application of 3D-printed sandwich structures and the design of internal core structures.</div></div>","PeriodicalId":11576,"journal":{"name":"Engineering Fracture Mechanics","volume":"320 ","pages":"Article 111084"},"PeriodicalIF":4.7,"publicationDate":"2025-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760991","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

Machine learning assisted calibration of a fatigue crack growth model considering temperature and stress ratio conditions

IF 4.7 2区工程技术

Engineering Fracture Mechanics Pub Date : 2025-03-29 DOI: 10.1016/j.engfracmech.2025.111095

Chenyang Zhang , Zhiwen Hu , Wen Zhang , Xincun Zhuang , Zhen Zhao

{"title":"Machine learning assisted calibration of a fatigue crack growth model considering temperature and stress ratio conditions","authors":"Chenyang Zhang , Zhiwen Hu , Wen Zhang , Xincun Zhuang , Zhen Zhao","doi":"10.1016/j.engfracmech.2025.111095","DOIUrl":"10.1016/j.engfracmech.2025.111095","url":null,"abstract":"<div><div>Complex working conditions significantly influence fatigue crack growth (FCG), especially the temperature and stress ratio conditions. To describe the influence of temperature and stress ratio conditions on FCG behaviors, the corresponding macroscopic experiments and microscopic observations were performed. Through the introduction of the correction terms of temperature and stress ratio to Paris law, the extended Paris model was built in this study to enhance the predictive ability of FCG behaviors under working conditions. The parameters of FCG model are mainly calibrated by the method of fitting experimental curves, the size and dispersion of data for fitting seriously affects the accuracy of parameter calibration and subsequent FCG prediction. To improve the efficiency and accuracy of parameter calibration, a machine learning assisted calibration method was established to identify the parameters of the proposed model. The good agreement between prediction and experimental results of fatigue crack growth rate curves proves the rationality of the proposed FCG model and the parameter calibration method.</div></div>","PeriodicalId":11576,"journal":{"name":"Engineering Fracture Mechanics","volume":"320 ","pages":"Article 111095"},"PeriodicalIF":4.7,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143738118","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