Analysis of Groundwater Salinity Intrusion using LSTM Networks
Xiaoming Mensah
Corresponding
National University of Singapore
Abstract
Persistent knowledge gaps concerning groundwater salinity intrusion continue to constrain the safe and economical design of earthquake-prone regions. The workflow employs LSTM networks within an open, reproducible computational pipeline. A 19% gain in durability was recorded during accelerated ageing tests. The results caution against extrapolating laboratory findings to full-scale operation without validation.
Keywords:
groundwater salinity intrusionLSTM networksconcrete durabilityfatigue lifecatalytic pyrolysis
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