AI Strips Earthquake Risk Prediction Down to a Handful of Vital Clues
Researchers at Erciyes University show that interpretable machine learning with a reduced set of critical building parameters can predict the ...
Researchers at Erciyes University show that interpretable machine learning with a reduced set of critical building parameters can predict the ...
Researchers have developed a physics-guided neural network that embeds energy conservation and error correction into deep learning to predict seismic ...
Researchers have developed a hybrid precast concrete connection with a bolted, replaceable I-shaped steel fuse that absorbs earthquake damage and ...
A new quasi-adaptive pushover framework called IOPER uses hysteretic energy dissipation to redistribute seismic forces between analysis iterations, matching dynamic ...
Researchers at Harbin Institute of Technology have shown that sensors inside ordinary buildings, combined with building-specific hybrid deep learning models, ...
New experiments in Bangladesh show that burnt clay brick infills give reinforced concrete frames the highest lateral strength but brittle ...
Researchers in China have built and tested a semi-active friction damper that dissipates seismic energy only during unloading, extending structural ...
Researchers at Anna University have developed two novel ductile slab-to-beam connection details that kept hollow core floor slabs supported at ...
Researchers in Türkiye have developed and shaking-table-tested a hybrid base isolation system in which piezoelectric PVDF layers harvest seismic energy, ...
A new probabilistic life-cycle study shows that triple friction pendulum isolation systems consistently outperform single pendulum bearings in keeping base-isolated ...
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© 2025 Scienmag - Science Magazine