Results 141 to 150 of about 3,178,879 (308)

Flat-bottom grain silos under earthquake ground motion

, 2008
This paper proposes an innovative methodology for the seismic design of flat-bottom silos containing granular, grain-like material. In the general issues concerning the actions provoked by earthquake ground motion on the walls of flat-bottom grain silos,
GASPARINI, GIADA, TROMBETTI, TOMASO, SILVESTRI, STEFANO   +2 more
core   +1 more source

Healthcare network’s response and resilience in Iquique after the 2014, Pisagua earthquake

, 2017
On April 1st, 2014, the 8.2 Mw Pisagua earthquake affected the population in the north of Chile and generated disruption of services in the region. The largest effects of the earthquake were observed in the city of Iquique, capital of the Tarapaca Region,
Mitrani-Reiser, Judith, Rivera Jofré, Felipe Andrés, Vásquez, Andrea, Llera Martin, Juan Carlos de la   +3 more
core  

High atmospheric pressure rescues plant growth under humidity stress: A model for climate‐resilient deep underground agriculture

Deep Underground Science and Engineering, EarlyView.
High atmospheric pressure (120 kPa) in deep underground counteracts humidity‐induced physiological stress in plants, stabilizing water balance and enhancing antioxidative defenses. This synergy boosts biomass despite elevated humidity, demonstrating sustainable deep underground agriculture potential under climate uncertainty.
Yuxin He, Linglu Xu, Xiao Tan, Wenhua Zhuang, Naiwen Li, Chao Liu, Bo Tan   +6 more
wiley   +1 more source

Analysis of Earthquake Network smartphone data related to the detection of the M7.8 Türkiye earthquake on 6 February 2023

<p>The MATLAB code reproduces the analysis of the Earthquake Network smartphone data related to the detection of the M7.8 Türkiye earthquake on 6 February 2023.</p> <p>Please run the main.m script in the code folder.</p ...
Finazzi, Francesco, Bossu, Rémy, Cotton, Fabrice   +2 more
core   +2 more sources

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue Zhang   +4 more
wiley   +1 more source

MACHINE LEARNING FOR FULLY AUTOMATED DETECTION OF VOLCANIC SEISMIC SIGNALS IN REAL SEISMIC RECORDS AT SINABUNG VOLCANO, NORTH SUMATRA

Rudarsko-geološko-naftni Zbornik
To mitigate damage from volcanic disasters, experts conduct thorough monitoring mainly through observing volcano earthquake types, as these patterns provide crucial insight into magma movement.
Bagas Anwar Arif Nur, Mohammad Hasib, Estu Kriswati   +2 more
doaj   +1 more source

Development Of A tri-axial Seismo-Accelero-Crackometer for earthquake ground motion and structural damage detection

, 2015
Monitoring of earthquake ground motions required separate use of seismometer and accelerometer, to measure magnitude and distance, and intensity of the earthquake respectively.
Che Abas, M. R., Sk Abd. Razak, Sk Muiz, Azimi, Mohammadamin, Adnan, Azlan   +3 more
core  

Carbon emission assessment of tunnel infrastructures: From construction to operation

Deep Underground Science and Engineering, EarlyView.
This study develops a lifecycle carbon accounting framework for tunnel infrastructures, covering design, construction, operation, maintenance, and dismantling. Applied to a subsea tunnel case, the framework reveals the carbon emission distribution among four typical tunnel types and highlights potential carbon offset methods for low‐carbon tunnel ...
Luyuan Long, Wout Broere, Xuehui Zhang, Tian Xia, Richard de Nijs   +4 more
wiley   +1 more source

EXTENDED FRAMEWORK FOR EARTHQUAKE AND TSUNAMI RISK ASSESSMENT: PADANG CITY A CASE STUDY [PDF]

, 2013
The Great Sumatra earthquake and resulting devastating tsunami in 2004 have highlighted the significance of earthquake risk assessment that can effectively include all main associated hazards, such as tsunami.
Mulyani, Rini
core  

Deep Learning for earthquake detection

, 2021
The creation of accurate ground motion models can only be achieved with the help ofvast amounts of labelled data. The manual cataloging makes the processing of this data.The project proposes the automation of the labeling through real data and DL.Previous study show that CNN are the best architecture for this type of problems.
openaire   +1 more source