Publications by authors named "Yu-Jia Chiu"
Article Synopsis
- Liquefaction poses a serious threat in earthquake-prone areas like Taiwan, making accurate prediction models crucial for assessing soil vulnerability during seismic events.
- This study uses the random forest (RF) method, analyzing a dataset of 540 soil and seismic parameters to evaluate liquefaction potential in central Taiwan.
- The RF model demonstrates high accuracy (98.89%) and reveals that the SPT-N value and peak ground acceleration are the most influential factors for predicting liquefaction, outperforming traditional methods even with fewer input variables.
