Results 201 to 210 of about 147,008 (303)

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

What defines a flood. [PDF]

Commun Earth Environ
Majszak M, Zaki A, Wani O.
europepmc   +1 more source

Slip versus dilation tendency parameter space as a tool for prospecting structurally controlled geothermal systems in greenfield: insights from the greater Ruhr region

Deep Underground Science and Engineering, EarlyView.
This study highlights that with the static and time‐dependent evolution of slip versus dilation tendency parameter space, structurally controlled deep geothermal systems can be selected within areas of higher permeability and lower seismic hazard. Abstract Faults play a vital role in the Earth's hydraulic system by facilitating fluid flow when dilating
Michal Kruszewski, Alessandro Verdecchia, Oliver Heidbach, Rebecca M. Harrington, David Healy   +4 more
wiley   +1 more source

Strengthening urban resilience in China through underground infrastructures management: Addressing global climate challenges with technological solutions

Deep Underground Science and Engineering, EarlyView.
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh, Tonni Agustiono Kurniawan, Christia Meidiana, Abdelkader Anouzla, Faissal Aziz, Imran Ali, Joan Cecilia C. Casila, M. Imran Khan, Dongdong Zhang, Meihui Jiang, Mohd Hafiz Dzarfan Othman, Md Munir Hayet Khan, Kasun Kumara Dissanayake   +12 more
wiley   +1 more source

An integrated multi-hazard assessment using machine learning in the complex terrains of Northern Pakistan. [PDF]

Sci Rep
Khan MI, Shafique M, Khattak GA, Yahya A, Badruddin IA.   +4 more
europepmc   +1 more source

Impact of climate change on New York City's coastal flood hazard: Increasing flood heights from the preindustrial to 2300 CE. [PDF]

Proc Natl Acad Sci U S A, 2017
Garner AJ, Mann ME, Emanuel KA, Kopp RE, Lin N, Alley RB, Horton BP, DeConto RM, Donnelly JP, Pollard D.   +9 more
europepmc   +1 more source

Fracture evolution of a thick soft protection layer and the water inrush mechanism in overburden under longwall mining

Deep Underground Science and Engineering, EarlyView.
Through shear–tensile creep tests and viscoelastic modeling, the fracture evolution of thick soft protective layers is clarified. Results show thickness‐dependent rheological failure modes that govern four types of roof water inrush, providing a mechanism‐based framework for hazard prediction and control. Abstract In the Jurassic coal‐bearing strata of
Mengnan Liu, Wei Qiao, Xianggang Cheng, Xiangsheng Meng, Peichao Feng   +4 more
wiley   +1 more source

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

Deep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li, Huiyong Yin, Fangying Dong, Tao Wu, Chao Zhang   +4 more
wiley   +1 more source

Flood vulnerability in township informal settlements. [PDF]

Jamba
Gcabashe SW, Pillay S.
europepmc   +1 more source

Performance assessment of a potential underground thermal storage facility: Case study of the closed mine Prosper‐Haniel in the Ruhr coal mining area in Germany

Deep Underground Science and Engineering, EarlyView.
This study demonstrates the feasibility of an underground closed‐loop thermal storage facility at a post‐mining site, intended for seasonal heat energy storage. Its principal design shows water flow directions in winter and summer (1, 2), heat pumps (3), an upper water reservoir (4), and connecting pipes (5).
Dmytro Rudakov, Oleksandr Inkin
wiley   +1 more source