A5063694540- Infrastructure Maintenance and Monitoring
- Tunneling and Rock Mechanics
- Mineral Processing and Grinding
- Drilling and Well Engineering
- Innovative concrete reinforcement materials
- Rock Mechanics and Modeling
Thammasat University
2025
Corrosion can affect water taste, color, and odor, making it crucial to monitor control corrosion in the distribution network maintain quality standards. This study used machine learning approaches such as MARS, GMDH, MPMR model rate networks. An experimental setup was established running for data collection, where several test coupons were inserted into pipeline. A coupon weight loss method employed calculate rate. The selected site continuously monitored 315 days observe (WDN)....
For predicting the size of rock fragments during drilling and blasting operations, this article uses GPR, RVM, MPMR. The current analysis makes use a blast data set generated in prior investigation. In study, portion was utilized to train model determine mean particle arising from fragmentation for each similarity groups generated. modeled as function seven different variables. dataset contains information about bench height drilled burden ratio (H / B), spacing (S hole diameter (B D),...