New Earthquake Intensity Measure Slashes Super-Tall Building Analysis Costs
Researchers have developed a spectral-acceleration intensity measure that predicts peak floor acceleration and velocity demands in super-tall buildings, cutting the ...
Researchers have developed a spectral-acceleration intensity measure that predicts peak floor acceleration and velocity demands in super-tall buildings, cutting the ...
A validated ultrasonic phase reversal technique measures concrete crack depth accurately even when cracks are filled with water, sand, or ...
An open-source framework called SHM-EM uses versioned data contracts, synchronized multi-model forecasts, and independently rechecked execution gates to turn heterogeneous ...
Experiments at TU Braunschweig show that distributed fiber optic sensors can detect and localize the critical shear cracks that precede ...
Researchers have developed a time-frequency gated transformer that reconstructs the full dynamic response of structures from sparse vibration sensor data, ...
Researchers in Vietnam used machine learning to optimize an epoxy nanocomposite coating that is simultaneously fire-safe, mechanically strong, electrically conductive, ...
A new explainable deep learning framework segments marine biofouling at the pixel level, improving underwater inspection accuracy and structural health ...
Researchers at EPFL have developed MAGNETS, an inherently interpretable neural network that predicts continuous targets from time series by learning ...
A new review outlines how structural health monitoring sensors, tested from Alaskan pipelines to space rockets, could detect damage and ...
Fluidic elastomer actuators (FEAs) are revolutionizing the field of robotics and various engineering applications, showcasing flexibility and lightweight properties that ...
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© 2025 Scienmag - Science Magazine