{"title":"Fatigue response and AE characteristics of soft and hard composite rock containing coplanar double joints","authors":"Zeyue Wang, Su Li, Hang Lin, Yifan Chen","doi":"10.1016/j.ijfatigue.2025.108994","DOIUrl":null,"url":null,"abstract":"<div><div>Jointed soft-hard composite rock masses are commonly encountered in engineering rock formations. The excavation-induced can lead to incompatible deformations between joints and soft-hard layers, resulting in more complex failure mechanisms compared to those under static loading. It is necessary to monitor rock micro-fracture events in real time during excavation to obtain the precursor information of rock instability. Therefore, this study conducted uniaxial compression, cyclic loading tests, and acoustic emission monitoring utilising coplanar double-jointed soft-hard composite rock masses. The fatigue characteristics of coplanar double-jointed soft-hard composite rocks were analyzed from the perspectives of strength, deformation, energy, and damage. The timing characteristics of tensile and shear signals for specimens with various joint inclinations were analyzed employing acoustic emission (AE) technology. Additionally, an early warning mechanism for rock instability based on AE multi-parameters was proposed. The results reveal that the fatigue life and limit energy storage coefficient are the lowest for the specimen with a 45° joint inclination. However, the minimum values of failure stress and failure strain occur in the specimen with a 30° inclination. During the fatigue tests, the energy density of the specimens increases in a stepwise way with the number of cycles. In addition, there is a quadratic polynomial relationship between each energy density and the upper stress limit. The realtime tensile signals of specimens exceed 60% at each stage of cyclic loading. By analyzing the variance and autocorrelation coefficient of AE parameters, it is revealed that the precursor points of failure extracted from the variance curves of peak frequency and signal intensity are closest to the final failure point.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"198 ","pages":"Article 108994"},"PeriodicalIF":5.7000,"publicationDate":"2025-04-13","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/S0142112325001914","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}
引用次数: 0
Abstract
Jointed soft-hard composite rock masses are commonly encountered in engineering rock formations. The excavation-induced can lead to incompatible deformations between joints and soft-hard layers, resulting in more complex failure mechanisms compared to those under static loading. It is necessary to monitor rock micro-fracture events in real time during excavation to obtain the precursor information of rock instability. Therefore, this study conducted uniaxial compression, cyclic loading tests, and acoustic emission monitoring utilising coplanar double-jointed soft-hard composite rock masses. The fatigue characteristics of coplanar double-jointed soft-hard composite rocks were analyzed from the perspectives of strength, deformation, energy, and damage. The timing characteristics of tensile and shear signals for specimens with various joint inclinations were analyzed employing acoustic emission (AE) technology. Additionally, an early warning mechanism for rock instability based on AE multi-parameters was proposed. The results reveal that the fatigue life and limit energy storage coefficient are the lowest for the specimen with a 45° joint inclination. However, the minimum values of failure stress and failure strain occur in the specimen with a 30° inclination. During the fatigue tests, the energy density of the specimens increases in a stepwise way with the number of cycles. In addition, there is a quadratic polynomial relationship between each energy density and the upper stress limit. The realtime tensile signals of specimens exceed 60% at each stage of cyclic loading. By analyzing the variance and autocorrelation coefficient of AE parameters, it is revealed that the precursor points of failure extracted from the variance curves of peak frequency and signal intensity are closest to the final failure point.
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.