Results 161 to 170 of about 105,084 (302)

General Framework for Multi‐Degree‐of‐Freedom Stiffness Matrix Updating for Iterative Solution Algorithms in Hybrid Simulation

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Iterative solvers are advantageous for handling nonlinear structural analysis problems. The iterative solvers often require updating the stiffness matrix, which limits their application in static and pseudo‐dynamic hybrid simulations because: (1) updating the stiffness matrix of a system involving a physical specimen is challenging; (2 ...
Junyan Xiao, Oh‐Sung Kwon, Evan Bentz
wiley   +1 more source

Sensitivity of Risk‐Based Demand Curves to Analytical Fragility Function Fitting Using Multiple‐Stripe Analyses

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Risk‐based seismic assessments using demand curves that provide mean annual exceedance rates for various system demand levels are increasingly being adopted. Such assessments combine the seismic hazard curve with fragility functions for each demand level, serving as a basis to quantify the average annual losses from system damage. Constructing
Zeyad Khalil   +2 more
wiley   +1 more source

Structural barriers control the spatial extent of slow earthquake slip. [PDF]

open access: yesNat Commun
Akuhara T   +18 more
europepmc   +1 more source

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

open access: yesEarthquake 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   +6 more
wiley   +1 more source

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

open access: yesEnergy 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   +8 more
wiley   +1 more source

Coupled Fluid–Structure–Acoustic Analysis of Flow‐Induced Noise Control Using an Elastic Baffle in a Micro Channel

open access: yesEnergy Science &Engineering, EarlyView.
This research explores how fluid flow, structural movement, and sound interact in an elastic baffle system. Using a numerical approach based on the finite element method, the study analyzes how noise and vibrations change with different baffle configurations. The findings reveal that shortening the baffle by half reduces noise transmission by 9%, while
Tohid Adibi   +5 more
wiley   +1 more source

Study on the Influence of Slope Static Load on Shallow Lining Support Structure

open access: yesEnergy Science &Engineering, EarlyView.
On the basis of the background of the shallow‐buried main adit supported by stone lining, the mechanical model of the supporting structure is constructed, and the stability of the supporting structure is analyzed by using the methods of field investigation, theoretical analysis, and numerical simulation.
Hongwei Wang   +3 more
wiley   +1 more source

Development of Slow Earthquake Database

open access: yesDevelopment of Slow Earthquake Database
identifier:oai:t2r2.star.titech.ac.jp ...
openaire  

Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors

open access: yesEnergy Science &Engineering, EarlyView.
Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen   +4 more
wiley   +1 more source

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