Corrigendum to “Health Monitoring of Storage Tanks Subject to Near-Field and Far-Field Earthquakes” [Engineering Science & Technology, Volume 2 Issue 2 (2021) 116-130]

2021 ◽  
pp. 131
Author(s):  
Hossein Mirzaaghabeik ◽  
Rafael Holdorf Lopez ◽  
Marcos Souza Lenzi ◽  
Hamidreza Vosoughifar
Keyword(s):  
Health Monitoring ◽  
Near Field ◽  
Engineering Science ◽  
Far Field ◽  
Storage Tanks ◽  
Science Technology

Corrigendum to “Health Monitoring of Storage Tanks Subject to Near-Field and Far-Field Earthquakes” [Engineering Science & Technology, Volume 2 Issue 2 (2021) 116-130] https://doi.org/10.37256/est.222021640 Published online May 7, 2021.   The authors regret they missed to one of the authors, Hamidreza Vosoughifar, whose contribution to this paper that could not be ignored. The correct authorship should be: Hossein Mirzaaghabeik, Rafael Holdorf Lopez, Marcos Souza Lenzi, Hamidreza Vosoughifar.   The authors would like to apologize for the inconvenience caused.

scholarly journals Embedded Active Sensors for In-Situ Structural Health Monitoring of Thin-Wall Structures

2002 ◽  
Vol 124 (3) ◽  
pp. 293-302 ◽  
Author(s):  
Victor Giurgiutiu ◽  
Andrei Zagrai ◽  
JingJing Bao
Keyword(s):  
Damage Detection ◽  
Health Monitoring ◽  
Near Field ◽  
Far Field ◽  
Thin Wall ◽  
Active Sensors ◽  
Aging Aircraft ◽  
Wall Structures ◽  
Aircraft Panels

The use of embedded piezoelectric-wafer active-sensors for in-situ structural health monitoring of thin-wall structures is presented. Experiments performed on aircraft-grade metallic specimens of various complexities exemplified the detection procedures for near-field and far-field damage. For near-field damage detection, the electro-mechanical (E/M) impedance method was used. Systematic experiments conducted on statistical samples of incrementally damaged specimens were followed by illustrative experiments on realistic aging aircraft panels. For far-field damage detection, guided ultrasonic Lamb waves were utilized in conjunction with the pulse-echo technique. Systematic experiments conducted on aircraft-grade metallic plates were used to develop the method, while experiments performed on realistic aging-aircraft panels exemplified the crack detection procedure.

scholarly journals Health Monitoring of Storage Tanks Subject to Near-Field and Far-Field Earthquakes

2021 ◽  
pp. 21-35
Author(s):  
Hossein Mirzaaghabeik ◽  
Rafael Holdorf Lopez ◽  
Marcos Souza Lenzi
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Seismic Behavior ◽  
Near Field ◽  
Underground Water ◽  
Far Field ◽  
Storage Tanks ◽  
Cavitation Effect ◽  
The Monte Carlo Method ◽  
Water Tanks

Structural Health Monitoring (SHM) is a method to conserve the structures and monitor their stress and strain situation. Natural disasters, significantly earthquake could damage the water supply systems, including water tanks. The earthquake could conclude cavitation and water sloshing inside the underground water tank. On the other hand, it can cause human tragedy economically, socially, and ecologically. Therefore, useful and essential measures for repairing and utilizing the underground water tanks after the earthquake should be considered. This research aims to monitor the underground storage tanks subject to near-field and far-field earthquakes, considering the cavitation effect. In this article, the effect of earthquakes on the underground water tanks, considering the seismic behavior and cavitation effect of the underground tank, will be considered. For considering seismic behavior on the storage tanks and their reaction, the ANSYS software has been used to simulate and model them via the finite element method. After that, the prone places to the cavitation wherever the pressures are minus will be detected by the Monte Carlo method. The cavitation effect statistics were examined, and their placement is compared with the results obtained from the Monte Carlo method. The MATLAB codes have been used to make decisions for optimal smart sensor placement via the Monte-Carlo method. Moreover, to decrease the analysis time, the comparison method is taken into account. Finally, underground water tanks were loaded subjected to near-field and far-field earthquakes. The finite element result will be analyzed via the Monte Carlo method, and the best places for installing the smart sensors will be proposed.

Magnetic Tag Antenna for UHF Near-field and Far-Field RFID Applications

2015 ◽  
Vol 5 (2) ◽  
pp. 119
Author(s):  
Mondher Dhaouadi ◽  
M. Mabrouk ◽  
T. Vuong ◽  
A. Ghazel
Keyword(s):  
Near Field ◽  
Far Field ◽  
Rfid Applications

Far field modeling of the Mamala Bay outfalls

1998 ◽  
Vol 38 (10) ◽  
pp. 323-330
Author(s):  
Philip J. W. Roberts
Keyword(s):  
Field Model ◽  
Near Field ◽  
Far Field ◽  
Field Modeling ◽  
Visitation Frequency ◽  
Statistical Variation ◽  
Long Time ◽  
Harmonic Average ◽  
Ocean Outfall ◽  
Acoustic Doppler Current Profilers

The results of far field modeling of the wastefield formed by the Sand Island, Honolulu, ocean outfall are presented. A far field model, FRFIELD, was coupled to a near field model, NRFIELD. The input data for the models were long time series of oceanographic observations over the whole water column including currents measured by Acoustic Doppler Current Profilers and density stratification measured by thermistor strings. Thousands of simulations were made to predict the statistical variation of wastefield properties around the diffuser. It was shown that the visitation frequency of the wastefield decreases rapidly with distance from the diffuser. The spatial variation of minimum and harmonic average dilutions was also predicted. Average dilution increases rapidly with distance. It is concluded that any impact of the discharge will be confined to a relatively small area around the diffuser and beach impacts are not likely to be significant.

Direction of Arrival Estimation Under Near-Field Interference Using Matrix Filter

2015 ◽  
Vol 23 (04) ◽  
pp. 1540007 ◽  
Author(s):  
Guolong Liang ◽  
Wenbin Zhao ◽  
Zhan Fan
Keyword(s):  
Near Field ◽  
Direction Of Arrival ◽  
Doa Estimation ◽  
Direction Of Arrival Estimation ◽  
Far Field ◽  
Data Simulation ◽  
Estimation Algorithms ◽  
Simulation Results

Direction of arrival (DOA) estimation is of great interest due to its wide applications in sonar, radar and many other areas. However, the near-field interference is always presented in the received data, which may result in degradation of DOA estimation. An approach which can suppress the near-field interference and preserve the far-field signal desired by using a spatial matrix filter is proposed in this paper and some typical DOA estimation algorithms are adjusted to match the filtered data. Simulation results show that the approach can improve capability of DOA estimation under near-field inference efficiently.

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