Results 31 to 40 of about 3,204,513 (373)

Experimental Investigation on Effective Distances of Acoustic Emission in Concrete Structures

Applied Sciences, 2020
As one of the non-destructive testing (NDT) methods, acoustic emission (AE) can be widely applied to the field of engineering and applied science owing to its advantageous characteristics.
Tae-Min Oh, Min-Koan Kim, Jong-Won Lee, Hyunwoo Kim, Min-Jun Kim   +4 more
doaj   +1 more source

Thermal conductivity prediction model for compacted bentonites considering temperature variations

Nuclear Engineering and Technology, 2021
An engineered barrier system (EBS) for the deep geological disposal of high-level radioactive waste (HLW) is composed of a disposal canister, buffer material, gap-filling material, and backfill material.
Seok Yoon, Min-Jun Kim, Seunghun Park, Geon-Young Kim   +3 more
doaj   +1 more source

Data‐Worth Analysis for Heterogeneous Subsurface Structure Identification With a Stochastic Deep Learning Framework

Water Resources Research, 2022
Reliable characterization of subsurface structures is essential for earth sciences and related applications. Data assimilation‐based identification frameworks can reasonably estimate subsurface structures using available lithological (e.g., borehole core,
Chuanjun Zhan, Z. Dai, M. Soltanian, F. D. de Barros   +3 more
semanticscholar   +1 more source

Numerical Study on the Effect of Enhanced Buffer Materials in a High-Level Radioactive Waste Repository

Applied Sciences, 2021
In deep geological disposal system designs, it is important to minimize the installation area for cost effectiveness while satisfying the thermal requirements of the systems.
Min-Jun Kim, Gi-Jun Lee, Seok Yoon
doaj   +1 more source

Evaluation of the Dynamic Stability of Underground Structures Assuming a Hydrogen Gas Explosion Disaster in a Shallow Underground Hydrogen Storage Facility

Applied Sciences, 2023
Amid the ongoing global warming crisis, there has been growing interest in hydrogen energy as an environmentally friendly energy source to achieve carbon neutrality.
Gyu-Hyun Go, Van-Hoa Cao, YoungSeok Kim, Hyun-Jun Choi, Se-Wook Oh, Min-Jun Kim   +5 more
doaj   +1 more source

Workshop to develop deep-life continental scientific drilling projects [PDF]

Scientific Drilling, 2015
The International Continental Scientific Drilling Program (ICDP) has long espoused studies of deep subsurface life, and has targeted fundamental questions regarding subsurface life, including the following: "(1) What is the extent and diversity of deep ...
T. L. Kieft, T. C. Onstott, L. Ahonen, V. Aloisi, F. S. Colwell, B. Engelen, S. Fendrihan, E. Gaidos, U. Harms, I. Head, J. Kallmeyer, B. Kiel Reese, L.-H. Lin, P. E. Long, D. P. Moser, H. Mills, P. Sar, D. Schulze-Makuch, H. Stan-Lotter, D. Wagner, P.-L. Wang, F. Westall, M. J. Wilkins   +22 more
doaj   +1 more source

Deep Learning-Based Subsurface Target Detection From GPR Scans

IEEE Sensors Journal, 2021
Ground penetrating radar (GPR) has been widely used as a non-destructive technique to detect subsurface objects. Manual interpretation of GPR data is tedious and time-consuming.
Feifei Hou, Wentai Lei, Shuai Li, Jingchun Xi   +3 more
semanticscholar   +1 more source

Deep dielectric charging of regolith within the Moon\u27s permanently shadowed regions [PDF]

, 2014
Energetic charged particles, such as galactic cosmic rays (GCRs) and solar energetic particles (SEPs), can penetrate deep within the lunar surface, resulting in deep dielectric charging.
Jordan, Andrew P., Joyce, Colin J., Schwadron, Nathan A., Spence, Harlan E., Stubbs, T. J., Wilson, Jody K.   +5 more
core   +2 more sources

Stage‐Wise Stochastic Deep Learning Inversion Framework for Subsurface Sedimentary Structure Identification

Geophysical Research Letters, 2021
The stochastic models and deep‐learning models are the two most commonly used methods for subsurface sedimentary structures identification. The results from the stochastic models typically involve uncertainty due to their nature.
Chuanjun Zhan, Z. Dai, M. Soltanian, Xiaoying Zhang   +3 more
semanticscholar   +1 more source

Viable cyanobacteria in the deep continental subsurface [PDF]

Proceedings of the National Academy of Sciences, 2018
Cyanobacteria are ecologically versatile microorganisms inhabiting most environments, ranging from marine systems to arid deserts. Although they possess several pathways for light-independent energy generation, until now their ecological range appeared to be restricted to environments with at least occasional exposure to sunlight.
Fernando Puente-Sánchez, Alejandro Arce-Rodríguez, Monike Oggerin, Miriam García-Villadangos, Mercedes Moreno-Paz, Yolanda Blanco, Nuria Rodríguez, Laurence Bird, Sara A. Lincoln, Fernando Tornos, Olga Prieto-Ballesteros, Katherine H. Freeman, Dietmar H. Pieper, Kenneth N. Timmis, Ricardo Amils, Víctor Parro   +15 more
openaire   +6 more sources