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Lightning strike probability and current simulation for simple structures and floating roof tank
Alexandria Engineering Journal, 2022 Air terminations must be strategically positioned at high-risk points to prevent lightning bypass. The likelihood of a direct lightning strike to points on a building can be evaluated using the dynamic electro-geometrical model (DEGM), which considers ...
Aderibigbe Israel Adekitan, Michael Rock
doaj
应用气象学报, 2020 The discharge process is often discussed in the lightning physics. VHF (very high frequency) observations play an important role in studying lightning discharge processes, because they show where air breakdown occurs.
Zhang Yang +6 more
doaj +1 more source
Quantum Lightning Never Strikes the Same State Twice [PDF]
, 2017 Public key quantum money can be seen as a version of the quantum no-cloning theorem that holds even when the quantum states can be verified by the adversary.
B Barak +17 more
core +2 more sources
Corrosion prediction of galvanized steel electrode in soil using deep learning‐based model
Electrochemical Science Advances, Volume 2, Issue 6, December 2022., 2022 We proposed a deep learning method to numerically predict the corrosion rate of a galvanized carbon steel grounding electrode in this paper. The long‐short term memory method is selected as the modeling algorithm, and also chosen as the hidden layer for the recurrent neural network, while the soil environmental parameters are used as input features ...
Kongyong Wu +5 more
wiley +1 more source
Study of the B-Dot Sensor for Aircraft Surface Current Measurement
Sensors, 2022 The B-dot sensor is a type of Rogowski coil widely used in the measurement of current. However, the accuracy of the B-dot for measuring aircraft high-frequency lightning current is greatly affected by factors such as numerical integration drift, high ...
Chen Tong +6 more
doaj +1 more source
Classification of VLF/LF Lightning Signals Using Sensors and Deep Learning Methods
Italian National Conference on Sensors, 2020 Lightning waveform plays an important role in lightning observation, location, and lightning disaster investigation. Based on a large amount of lightning waveform data provided by existing real-time very low frequency/low frequency (VLF/LF) lightning ...
Jiaquan Wang +8 more
semanticscholar +1 more source
Insights into ground strike point properties in Europe through the EUCLID lightning location system [PDF]
Natural Hazards and Earth System SciencesEvaluating the risk of lightning strikes to a particular structure typically involves adhering to the guidance outlined in IEC 62305-2. Among the multitude of factors influencing the overall risk, flash density emerges as a crucial parameter.
D. R. Poelman, H. Kohlmann, W. Schulz
doaj +1 more source
Thunderstorm Feature Dataset and Characteristics of Thunderstorm Activities in China
应用气象学报, 2021 A thunderstorm feature dataset (TFD) is built up based on the black body temperature (TBB) product and cloud classification (CLC) product of FY-2E meteorological satellite as well as the lightning data of the World-Wide Lightning Location Network (WWLLN).
Ma Ruiyang +3 more
doaj +1 more source
Global ground strike point characteristics in negative downward lightning flashes – Part 1: Observations [PDF]
Natural Hazards and Earth System Sciences, 2021 Information about lightning properties is important in order to advance the current understanding of lightning, whereby the characteristics of ground strike points (GSPs) are in particular helpful to improving the risk estimation for lightning protection.
D. R. Poelman +10 more
doaj +1 more source