Results 221 to 230 of about 12,746 (295)

Uncertainty‐aware fuzzy knowledge embedding method for generalized structural performance prediction

Computer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Structural performance prediction for structures and their components is a critical issue for ensuring the safety of civil engineering structures. Thus, enhancing the reliability of the prediction models with better generalization capability and quantifying the uncertainties of their predictions is significant.
Xiang‐Yu Wang, Xin‐Rui Ma, Shi‐Zhi Chen   +2 more
wiley   +1 more source

Geological carbon storage site characterization using a dual element seismic recording technology. [PDF]

Sci Rep
Malehmir A, Markovic M, Abramovitz TJ, Gregersen U.   +3 more
europepmc   +1 more source

Three‐dimensional morphological analysis of Chang'e‐5 lunar soil using deep learning‐automated segmentation on computed tomography scans

Computer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Grain morphology is a fundamental characteristic of lunar soil that influences its mechanical properties, sintering behavior, and in situ resource utilization. However, traditional two‐dimensional imaging methods are time‐consuming and lack full three‐dimensional (3D) structural information. This study presents an automated deep learning‐based
Siqi Zhou, Yu Jiang, Xinyang Tao, Feng Li, Chi Zhang, Wei Yang, Yangming Gao   +6 more
wiley   +1 more source

3D seismic modeling of the Amal oil field to evaluate CO₂ storage potential in depleted reservoirs, Southern Gulf of Suez. [PDF]

Sci Rep
Amer M, Mabrouk WM, Eid AM, Metwally A.
europepmc   +1 more source

Study on the Priority of Measuring against Scenario Earthquakes Based on Seismic Risk Estimation

, 2011
Tomatsu Makoto, Shigeyuki Okada
openalex   +2 more sources

Seismic vulnerability and seismic risk in Germany

, 2007
Tyagunov, S., Grünthal, G., Wahlström, R., Stempniewski, L., Zschau, J.   +4 more
openaire   +2 more sources

A seismic risk evaluation in Korea.

Journal of Physics of the Earth, 1982
So Gu Kim, Sang Jo Kim
openaire   +3 more sources

Deep learning for computer vision in pulse‐like ground motion identification

Computer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Near‐fault pulse‐like ground motions can cause severe damage to long‐period engineering structures. A rapid and accurate identification method is essential for seismic design. Deep learning offers a solution by framing pulse‐like motion identification as an image classification task.
Lu Han, Zhengru Tao
wiley   +1 more source

A Study Based on b-Value and Information Entropy in the 2008 Wenchuan 8.0 Earthquake. [PDF]

Entropy (Basel)
Liang S, Wang Z, Wang X.
europepmc   +1 more source

Survey Report on Seismic Risk Recognition and Intention for Safety Measures of Residents in Dhaka, Bangladesh

, 2011
Md. Faiz Shah, Osamu Murao
openalex   +2 more sources