Results 191 to 200 of about 97,855 (331)

Estimating Arias Intensity From Response Spectrum

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Arias intensity serves as a crucial metric to measure ground motion energy and is extensively utilized in earthquake engineering to analyze structural damage, slope instability, and the potential for soil liquefaction. Nevertheless, in many practical design scenarios, only the response spectrum is available, without corresponding information ...
Longfei You, Haizhong Zhang, Yan‐Gang Zhao   +2 more
wiley   +1 more source

MFU-Net: a multi-scale fusion U-Net for seismic phase picking. [PDF]

Sci Rep
Wu L, Yan J, Zhang Y, Hong M, Zhang H, Liao S.   +5 more
europepmc   +1 more source

ON THE WAY TO THE REAL IMPLEMENTATION OF EARTHQUAKE PREDICTION

, 2016
А.К. Певнев
openalex   +2 more sources

Shaking Table Tests and Numerical Analysis of Rocking Vault‐Shaped Segmental Piers Equipped With an Annular Double Sliding System

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT To enhance the structural robustness of bridges, a rocking arch‐shaped segmental pier with a double sliding system was previously proposed as a low‐cost solution to protect bridges in developing countries. The rocking behavior is triggered by halting the sliding motion, which increases the horizontal load‐bearing capacity and limits ...
Shengming Feng, Mitsuyoshi Akiyama, Shintaro Kobayashi, Ryosuke Kato, Elisa Vitolo, Hirokazu Takahashi, Shun Arima   +6 more
wiley   +1 more source

GROUND MOTION PREDICTION EQUATIONS FOR ABSOLUTE VELOCITY RESPONSE SPECTRA (1-10 S) IN JAPAN FOR EARTHQUAKE EARLY WARNING

, 2015
Yadab P. Dhakal, Wataru Suzuki, Takashi Kunugi, Shin Aoi   +3 more
openalex   +2 more sources

Full‐scale Shaking Table Tests on a 10‐story Steel Moment‐resisting Frame Building with Buckling‐restrained Braces

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT In February 2023, a comprehensive series of shaking table tests were conducted at the E‐Defense facility, the world's largest three‐dimensional earthquake simulator, on a full‐scale 10‐story steel moment‐resisting frame supplemented with BRBs.
Jun Fujiwara, Jialiang Jin, Jionghui Li, Tianhao Yan, Ryota Nishi, Akiko Kishida, Koichi Kajiwara, Takuya Nagae, Taichiro Okazaki, Tatsuya Asai   +9 more
wiley   +1 more source

Improving earthquake prediction accuracy in Los Angeles with machine learning.

Sci Rep
Yavas CE, Chen L, Kadlec C, Ji Y.
europepmc   +1 more source

Seismic Intensity Prediction with a Low-Computational-Cost Transformer-Based Tracking Method. [PDF]

Sensors (Basel)
Wang H, Bai Z, Bai R, Zhao L, Lin M, Han Y.   +5 more
europepmc   +1 more source

The role of artificial intelligence and IoT in prediction of earthquakes: Review

Joshua Pwavodi, Abdullahi Umar Ibrahim, Pwadubashiyi Coston Pwavodi, Fadi Al‐Turjman, Ali Mohand‐Said   +4 more
openalex   +1 more source

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

Energy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan, Haijiao Fu, Detian Yan, Gang Wang, Shuguang Yang, Mengmeng Liu, Qingling Jiang, Xiaoming Wang, Wei Wang   +8 more
wiley   +1 more source