Failure criteria for real-time assessment of ductile cast irons subjected to various loading conditions

D’Angela, Danilo; Ercolino, Marianna; Bellini, Costanzo; Cocco, Vittorio Di; Iacoviello, Francesco

doi:10.1088/1361-665x/abc56f

Cited by 4 publications

(4 citation statements)

References 43 publications

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“…This condition might also simulate the case of monitoring applications with sensors on a structural component which is connected to the damaged one but is not damaged itself. The experimental choice is also supported by recent studies performed by the same authors on different metallic materials 42,44 . In these studies, the genuine AE activity was detected and the noise due to the testing equipment was removed because of both the sensor sensitivity and the used AE analysis methodology.…”

Section: Experimental Testing and Data Analysis Methodologymentioning

confidence: 89%

Acoustic emission entropy: An innovative approach for structural health monitoring of fracture‐critical metallic components subjected to fatigue loading

D’Angela

Ercolino

2021

Fatigue Fract Eng Mat Struct

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The paper presents an innovative approach for structural health monitoring of metallic components under fatigue crack phenomena. The methodology is based on the evaluation of the information entropy of the acoustic emission (AE) data. AE testing of fatigue crack growth (FCG) is performed on metallic components is performed within an extremely noisy testing environment. Basic AE data analysis is demonstrated to be inefficient with regard to the specific testing conditions. AE entropy is proven to be a reliable damage‐sensitive feature for real‐time assessment despite both significant noise disturbance and complexity/randomness of the acoustic phenomena. This was also confirmed for (time‐)discontinuous monitoring processes over random‐based data detections. An innovative monitoring protocol is finally developed according to the experimental evidence also considering the recommendations of the current monitoring. The protocol is found to be promising for structural health monitoring of metallic fracture‐critical components of structures under fatigue.

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Section: Experimental Testing and Data Analysis Methodologymentioning

confidence: 89%

Acoustic emission entropy: An innovative approach for structural health monitoring of fracture‐critical metallic components subjected to fatigue loading

D’Angela

Ercolino

2021

Fatigue Fract Eng Mat Struct

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“…So, when figuring out how long a crack will grow, you have to make an assumption about how big it was at first [68]. The study reported in [109] proposes a probabilistic-based technique for damage evaluation of ductile cast irons (DCIs). Acoustic emission (AEs) experiments were conducted on pearlitic DCIs exposed to both monotonic and fatigue tensile loads.…”

Section: Experimental Methods For Prediction Fatigue Crack Initiationmentioning

confidence: 99%

Prediction of Fatigue Crack Initiation under Variable Amplitude Loading: Literature Review

Kedir

Lemu

2023

Metals

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Metallic materials are widely employed in engineering constructions, and one of the most common failure mechanisms in metals is fatigue failure. Even though metal fatigue has been studied for almost 160 years, many problems remain unsolved. Fatigue in metal occurs when the metallic material is subjected to varying loads, resulting in failure due to damage accumulation. The fatigue process consists of a buildup of damage that leads to crack initiation, followed by a period of crack growth until the critical flaw size is reached. The sum of a start phase and a propagation phase represents the total life. To better understand the fatigue phenomenon at its different stages and predict the fatigue life, various types of prediction models have been developed and reported in the literature. This paper reviewed the different models that include microstructure scale parameters that can be used to predict how fatigue cracks start under variable amplitude loading, including the Modified Tanaka-Mura Model, Acoustic Second Harmonic Generation, and the Probability of Crack Initiation on Defects. For perfect life prediction under variable amplitude loading, a stress-based approach, a strain-based approach, and a continuum damage mechanics approach are reviewed. The purpose of this paper is to get overview of the current state of approaches to the life prediction of fatigue crack initiation with variable amplitude. Finally, gaps in knowledge about the prediction of fatigue crack initiation under variable loading at high temperatures are pointed out.

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“…The method could identify the natural frequencies of steel before and after damage. In addition, acoustic emission signals generated from inside objects are also widely used [ 29 , 30 , 31 , 32 , 33 , 34 ].…”

Section: Introductionmentioning

confidence: 99%

Sound Damage Detection of Bridge Expansion Joints Using a Support Vector Data Description

Yang

2023

Sensors

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A novel method is proposed for the damage identification of modal bridge expansion joints (MBEJs) based on sound signals. Two modal bridge expansion joint specimens were fabricated to simulate healthy and damaged states. A microphone was used to collect the impact signals from different specimens. The wavelet packet energy ratio of the sound signal was used to identify the difference in specimen state. Firstly, the wavelet packet energy ratio was used to establish the feature vectors, which were reduced dimensionality using principal component analysis. Subsequently, a support vector data description model was established to detect the difference in the signals. The identification effects of three parameter optimization methods (particle swarm optimization, genetic algorithm optimization, and Bayesian optimization) were compared. The results showed that the wavelet packet energy ratio of sound signals could effectively distinguish the state of the support bar. The support vector data description of Bayesian optimization worked best, and the proposed method could successfully detect damage to the support bar of MBEJs with an accuracy of 99%.

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Failure criteria for real-time assessment of ductile cast irons subjected to various loading conditions

Cited by 4 publications

References 43 publications

Acoustic emission entropy: An innovative approach for structural health monitoring of fracture‐critical metallic components subjected to fatigue loading

Acoustic emission entropy: An innovative approach for structural health monitoring of fracture‐critical metallic components subjected to fatigue loading

Prediction of Fatigue Crack Initiation under Variable Amplitude Loading: Literature Review

Sound Damage Detection of Bridge Expansion Joints Using a Support Vector Data Description

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