Electromagnetic Emission as Failure Precursor Phenomenon for Seismic Activity Monitoring

Borla, Oscar; Lacidogna, Giuseppe; Battista, E. Di; Niccolini, Gianni; Carpinteri, Alberto

doi:10.1007/978-3-319-06977-7_29

Cited by 19 publications

(14 citation statements)

References 32 publications

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“…Later study on electromagnetic radiation (EMR) emission from fracture of rocks was also explored for developing the technique for earthquake prognosis [4,5]. EMR emission from wide variety of rocks subjected to varying load conditions, during micro cracking and fracture has been observed and reported [4,[6][7][8][9][10][11][12]. Misra (1975) reported the preliminary investigations of electromagnetic radiation (EMR) emission from metals [13].…”

Section: Introductionmentioning

confidence: 99%

A theoretical model for the electromagnetic radiation emission from hydrated cylindrical cement paste under impact loading

et al. 2018

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This paper presents the detection of the electromagnetic radiation (EMR) from the hydrated cement paste samples when impacted by dropping weight. Cylindrical cement samples cured for 28 days emit EMR in the range of 44 mV to 95 mV as the height of impact is varied from 6 cm to 21 cm. The EMR voltage increases linearly as the height of impact increases. This suggests the suitability of the EMR measurement for the structural health monitoring under dynamic loading conditions. A theoretical model has been presented to explain the occurrence of the EMR under impact. The ions present in the capillary pores of the hydrated cement paste lead to the formation of dipoles at the solid liquid interphase. When impact is applied the separation distance between the opposite charges of the dipoles undergoes transient variation causing the EMR. Theoretically calculated EMR voltages are in good agreement with the experimental results in nature as well as magnitude.

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Section: Introductionmentioning

confidence: 99%

A theoretical model for the electromagnetic radiation emission from hydrated cylindrical cement paste under impact loading

et al. 2018

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“…Furthermore, significant neutron emissions have been measured, both at the Earth's crust scale, during earthquake preparation stages ( Figure 3) [32][33][34][35], and at the laboratory scale, during crushing tests on non-radioactive rock specimens. In the laboratory experiments, neutron and other forms of energy emissions were measured in correspondence to micro-and macro-fracturing [36][37][38][39][40], with the final considerable reduction in the Fe content consistently counterbalanced by an increase in the content of Al, Si and Mg [27][28][29]. Further evidence supporting the link between seismicity and variations in the atmospheric CO2 is the spatial organization of the CO2 release from the ground in the Himalayas, Nepal, which were apparently controlled by large earthquakes [41].…”

Section: Introductionmentioning

confidence: 92%

Correlation between the Fluctuations in Worldwide Seismicity and in Atmospheric Carbon Pollution

Carpinteri¹,

Niccolini²

2018

Sci

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The crucial stages in the geochemical evolution of the Earth's crust, ocean, and atmosphere could be explained by the assumed low-energy nuclear reactions (LENR) that are triggered by seismic activity. LENR result in the fission of medium-weight elements accompanied by neutron emissions, involving Fe and Ni as starting elements, and C, N, O as resultants. Geochemical data and experimental evidences support the LENR hypothesis. The time series analysis highlighted significant correlation between the atmospheric CO2 growth rate and the global seismic-moment release rate, whereas the trending behavior was in response to the anthropogenic emissions. The fluctuations in the atmospheric CO2 growth rate time series were inexplicable in terms of anthropogenic emissions, but could be explained by the cycles of worldwide seismicity, which massively trigger LENR in the Earth's crust. In this framework, LENR from active faults must be considered as a relevant cause of carbon formation and degassing of freshly-formed CO2 during seismic activity.

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“…However, during the monitoring processes, various signals coming from environmental noise or generally false signals, which are not useful for monitoring and prediction, may occur. To solve this problem, several studies have been conducted; for instance, a sort of alarm system based on the warning network was set up to detect the electromagnetic signals; the Mamdani fuzzy classifier based on the improved chaos immune algorithm and Iris database was developed for the classification and recognition of acoustic emission and interference signals [8,30]. Despite the tremendous efforts that have already been made, in view of the diversity and magnitude of monitoring data and signals, the issue of how to separate the various signals into useful signals and false signals based on the data mining and data warehouse technologies, which are in line with the current technological situation and industrial needs, needs further study.…”

Section: Future Workmentioning

confidence: 99%

Application of Data Mining in an Intelligent Early Warning System for Rock Bursts

et al. 2019

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In view of rock burst accidents frequently occurring, a basic framework for an intelligent early warning system for rock bursts (IEWSRB) is constructed based on several big data technologies in the computer industry, including data mining, databases and data warehouses. Then, a data warehouse is modeled with regard to monitoring the data of rock bursts, and the effective application of data mining technology in this system is discussed in detail. Furthermore, we focus on the K-means clustering algorithm, and a data visualization interface based on the Browser/Server (B/S) mode is developed, which is mainly based on the Java language, supplemented by Cascading Style Sheets (CSS), JavaScript and HyperText Markup Language (HTML), with Tomcat, as the server and Mysql as the JavaWeb project of the rock burst monitoring data warehouse. The application of data mining technology in IEWSRB can improve the existing rock burst monitoring system and enhance the prediction. It can also realize real-time queries and the analysis of monitoring data through browsers, which is very convenient. Hence, it can make important contributions to the safe and efficient production of coal mines and the sustainable development of the coal economy.

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Electromagnetic Emission as Failure Precursor Phenomenon for Seismic Activity Monitoring

Cited by 19 publications

References 32 publications

A theoretical model for the electromagnetic radiation emission from hydrated cylindrical cement paste under impact loading

A theoretical model for the electromagnetic radiation emission from hydrated cylindrical cement paste under impact loading

Correlation between the Fluctuations in Worldwide Seismicity and in Atmospheric Carbon Pollution

Application of Data Mining in an Intelligent Early Warning System for Rock Bursts

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