3 Result(s)
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Chapter and Conference Paper
Machine Learning Enhanced Nonlinear Model Parameter Selection from HDR-S Cyclic Loading Test
The accuracy of new types of seismic rubber bearing’s properties selection mainly depends on the engineer’s experience and might be subjected to bias, reliability, and some uncertainties. This was a trial-and-...
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Chapter and Conference Paper
Nonlinear Model Classification of HDR-S Bearing Under Low Temperature Using Artificial Neural Network
The seismic isolation design for bridges mainly focused on increasing the dam** properties of the seismic isolator under controlled period. To adopt to the demand of high dam** properties, there were newly...
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Chapter and Conference Paper
Integrated 3D Structural Element and Damage Identification: Dataset and Benchmarking
Traditional bridge inspection is a manually performed visual process that is time-consuming, costly, and requires significant support from equipment and resources. Recent advances in artificial intelligence (A...
