Results 51 to 60 of about 2,183,650 (313)

Hyperledger Fabric for the (digitalized) lifecycle of construction products: Applied review on fastening technology

Civil Engineering Design, Volume 7, Issue 1, Page 9-22, March 2025.
Abstract Blockchain technology is a digital decentralized data ledger recording transactions in an encrypted format. Its implementation can potentially hold significant advantages for the built environment, particularly in manufacturing and building product usage aligned with Building Information Modeling (BIM). This paradigm shift toward decentralized
Aileen Pfeil, Dimosthenis Kifokeris, Panagiotis Spyridis   +2 more
wiley   +1 more source

Random noise suppression of seismic data based on CEEMD-MSSA

矿业科学学报
Random noise is one of the common noises in seismic data, which has a direct impact on high-resolution imaging processing and fine interpretation of seismic data. Random noise attenuation methods based on the low-rank hypothesis of seismic data have been
WANG Shubin, LIU Yulin, LI Xiaoli, LIN Peng, GAO Lijun   +4 more
doaj   +1 more source

Probing the in situ Elastic Nonlinearity of Rocks with Earth Tides and Seismic Noise.

Physical Review Letters, 2019
Heterogeneous materials such as rocks, concrete, and granular materials exhibit a strong elastic nonlinearity. The sensitivity of the elastic nonlinearity to the applied stress and pore pressure in principle allows the use of seismic waves for remote ...
C. Sens‐Schönfelder, T. Eulenfeld
semanticscholar   +1 more source

Real‐time monitoring of tunnel structures using digital twin and artificial intelligence: A short overview

Deep Underground Science and Engineering, EarlyView.
How artificial intelligence (AI) and digital twin (DT) technologies are revolutionizing tunnel surveillance, offering proactive maintenance strategies and enhanced safety protocols. It explores AI's analytical power and DT's virtual replicas of infrastructure, emphasizing their role in optimizing maintenance and safety in tunnel management.
Mohammad Afrazi, Danial Jahed Armaghani, Hossein Afrazi, Hadi Fattahi, Pijush Samui   +4 more
wiley   +1 more source

Seismic Noise in Central Alaska and Influences From Rivers, Wind, and Sedimentary Basins

Journal of Geophysical Research: Solid Earth, 2019
Ambient noise is useful for characterizing frequency‐dependent noise levels and for assessing data quality for seismic stations. We use 4 years of ambient noise spectra from 16 stations in central Alaska to examine environmental and structural influences
Kyle Smith, C. Tape
semanticscholar   +1 more source

A review on rockburst prediction and prevention to shape an ontology‐based framework for better decision‐making for underground excavations

Deep Underground Science and Engineering, EarlyView.
A scientometric analysis of 2449 journal articles and a comprehensive review of 336 papers were conducted, discussing and identifying challenges and research gaps in rockburst prediction and prevention and proposing an ontology‐based framework for better decision‐making in underground excavations. Abstract With underground engineering projects becoming
Hongchuan Yan, Haijiang Li, Hongqiang Xie, Mingli Xiao, Jianliang Pei, Huaizhong Liu, Jiangda He   +6 more
wiley   +1 more source

Research on Deep Convolutional Neural Network Time-Frequency Domain Seismic Signal Denoising Combined With Residual Dense Blocks

Frontiers in Earth Science, 2021
Deep Convolutional Neural Networks (DCNN) have the ability to learn complex features and are thus widely used in the field of seismic signal denoising with low signal-to-noise ratio (SNR).
Zhitao Gao, Zhitao Gao, Song Zhang, Jianxian Cai, Jianxian Cai, Li Hong, Li Hong, Jiangshan Zheng   +7 more
doaj   +1 more source

An optimizing microseismic method for rock burst early warning based on mining production process

Deep Underground Science and Engineering, EarlyView.
A classification early warning method of rock burst based on hourly microseismic data is proposed, which can be combined with the on‐site production process to provide more timely warning. Abstract Microseismic (MS) events have been reported in nearly every coal mining country, which could well lead to rock burst in underground coal mines.
Zepeng Han, Linming Dou, Wu Cai, Mingbo Chi, Guojun Xi, Shuai Chen, Biao Jiao   +6 more
wiley   +1 more source

Numerical and experimental study on P‐wave propagation across a rock joint with different orientations

Deep Underground Science and Engineering, EarlyView.
Joint orientation significantly affects P‐wave velocity, with the highest velocity at zero‐degree angles, decreasing to 30° as the angle increases. The velocity increases slightly from 30 to 45 degrees but sharply decreases from 45 to 90 degrees. Abstract Determination of the required parameters in different science contexts using the ultrasonic wave ...
Yaghoob Zarei, Mojtaba D. fallahi, Ali Uromeihy, Mohammad R. Nikoodel, Mohammad Fathollahy   +4 more
wiley   +1 more source

Expand Dimensional of Seismic Data and Random Noise Attenuation Using Low-Rank Estimation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Random noise attenuation in seismic data requires employing leading-edge methods to attain reliable denoised data. Efficient noise removal, effective signal preservation and recovery, reasonable processing time with a minimum signal distortion and ...
Javad Mafakheri, Amin Roshandel Kahoo, Rasoul Anvari, Mokhtar Mohammadi, Mohammad Radad, Mehrdad Soleimani Monfared   +5 more
doaj   +1 more source