Results 71 to 80 of about 9,460 (260)

World's fastest 10 000‐m breakthrough: The XY‐22 well redefines deep‐earth access in the Tarim Basin

Deep Underground Science and Engineering, EarlyView.
The Tarim Basin in northwestern China hosts one of the world's deepest petroleum systems, exemplified by the XY‐22 ultra‐deep well (bottom depth: 11 116 m; ~220°C, ~145 MPa). This study integrates tectonic mapping, geological cross‐sections, ultraviolet fluorescence microscopy, and optical photothermal infrared (OPTIR) spectroscopy to characterize ...
Qingwen Tan, Fangkai Liu, Sen Zhu, Guangyou Zhu, Haiping Huang   +4 more
wiley   +1 more source

An Explainable Machine Learning Model for Predicting Macroseismic Intensity for Emergency Management

Remote Sensing
Predicting macroseismic intensity from instrumental ground motion parameters remains a complex task due to the nonlinear relationship with observed damage patterns.
Federico Mori, Giuseppe Naso
doaj   +1 more source

Modeling and monitoring injectivity evolution during cold CO2 injection with field evidence from aquistore carbon capture and storage operations

Deep Underground Science and Engineering, EarlyView.
This work integrates 5 years of field data from the Aquistore CCS project with a non‐isothermal THM modeling framework to explain how cold CO2 injection alters injectivity over time. The study shows that sustained cooling near the wellbore reduces effective stresses, promotes tensile micro‑cracking, and leads to semi‑reversible permeability enhancement
Alireza Rangriz Shokri, Stephen Talman, Erik Nickel, Rick Chalaturnyk   +3 more
wiley   +1 more source

The EU's Strategy for Sustainability: A Landmark Turn With the European Green Deal?

European Policy Analysis, EarlyView.
ABSTRACT While the European Green Deal (EGD) has been widely recognized as a milestone in the EU's sustainability strategy, scholars disagree on the nature of the policy change it represents. Critics highlight its limited social and environmental ambitions, despite its portrayal as a “man on the moon” moment.
Ekaterina Domorenok, Franco Gatti
wiley   +1 more source

Wind-induced transmission line interruption fragility models: An adaptive GAN-augmented probabilistic classification approach for extremely unbalanced data

Energy and AI
Weather-induced outages pose a significant threat to power grid reliability, with transmission systems particularly vulnerable to environmental stressors. Despite numerous tools developed to address this issue, the persistent challenge of weather-related
Mazin Al-Mahrouqi, Abdollah Shafieezadeh, Jieun Hur, Jae-Wook Jung, Jeong-Gon Ha, Daegi Hahm   +5 more
doaj   +1 more source

Cross‐Entropy of Power Spectral Density Function: A Modal Identification Framework

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT The power spectral density (PSD) function of measured structural response contains a significant amount of information, including the modal parameters (natural frequencies, damping ratios). Output‐only system identification or modal identification technique can be used for extracting such modal parameters from the measured response or its ...
Su‐Hong Kim, Jae‐Seung Hwang, Dae‐Kun Kwon, Ahsan Kareem   +3 more
wiley   +1 more source

Communicating the “Last Mile” of Seismic Risk: Insights from a Case Study

GeoHazards
Earthquake risk communication often remains centered on event parameters and structural collapse, while local site effects, building response and non-structural elements vulnerability shape how earthquakes are experienced and what people can do to reduce
Gemma Musacchio, Elena Eva, Fabrizio Meroni, Stefano Solarino, Luigi Zarrilli   +4 more
doaj   +1 more source

Learning Rocking Dynamics From Sparse Shake‐Table Data With Interpretable Physics‐Informed Neural Networks

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT We present a hybrid interpretable Physics‐Informed Neural Network Long‐Short Term Memory (Hybrid PINN LSTM) framework for predicting the seismic response of rocking blocks. Existing analytical models rely on uncertain idealizations, while purely data‐driven and machine‐learning approaches lack physical consistency and interpretability.
Shirley Shen, Christian Málaga‐Chuquitaype   +1 more
wiley   +1 more source

Seismic risk assessment and hotspots prioritization: a developing country perspective. [PDF]

Nat Hazards (Dordr), 2023
Asad R, Saleem MQ, Habib MS, Mufti NA, Mayo SM.   +4 more
europepmc   +1 more source

From a Probabilistic PBEE Framework to Risk‐Targeted Structural Design With Cascading Hazards: Engineering Application for Seismic–Radiological Safety

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Earthquake‐induced damage of structures can trigger cascading hazards, linking structural performance to nonstructural consequences. In current engineering practice, these two aspects are typically addressed separately, limiting the ability to account for such coupled effects in design.
Matjaž Dolšek, Peter Fajfar, Anže Babič   +2 more
wiley   +1 more source