A5082961349- Erosion and Abrasive Machining
- Corrosion Behavior and Inhibition
- High-Temperature Coating Behaviors
- Concrete Corrosion and Durability
- Hydrogen embrittlement and corrosion behaviors in metals
- Material Properties and Failure Mechanisms
- Advanced Surface Polishing Techniques
- Water Treatment and Disinfection
- Marine Biology and Environmental Chemistry
- Hydraulic Fracturing and Reservoir Analysis
- Offshore Engineering and Technologies
- Plasma Diagnostics and Applications
- Building materials and conservation
- Petroleum Processing and Analysis
- Vibration and Dynamic Analysis
- Fluid Dynamics and Vibration Analysis
- Particle Dynamics in Fluid Flows
- Wind and Air Flow Studies
- Magnetic confinement fusion research
- Dental materials and restorations
- Coal Combustion and Slurry Processing
- Tunneling and Rock Mechanics
Pontificia Universidad Católica de Chile
2017-2023
Hospital Luis Calvo Mackenna
2023
Inria Chile
2022
The effects of tidal cycles associated with the water level on biocorrosion stainless steel AISI 316L were studied. Steel coupons exposed to different conditions immersion in mesocosms fed by fresh seawater either continuously or accordance periodicity natural tides. After 5 and 15 weeks, all found have undergone ennoblement formation a biofilm. Analysis composition bacterial community using denaturing gradient gel electrophoresis (DGGE) revealed differences biological succession. exposure...
Microbially influenced corrosion (MIC) is an aggressive type of that occurs in aquatic environments and sparked by the development a complex biological matrix over metal surface. In marine environments, MIC exacerbated frequent variability environmental conditions typically high diversity microbial communities; hence, local situ studies are crucial to improve our understanding biofilm composition, interactions among its members, characteristics, corrosivity. Typically, material performance...
The application of Artificial Neuronal Networks (ANN) offers better statistical accuracy in erosion-corrosion (E-C) predictions compared to the conventional linear regression based on Multifactorial Analysis (MFA). However, limitations ANN require large training datasets and a high number inputs pose practical challenge field E-C due scarcity data. To address this challenge, novel method is proposed, structured small dataset trained with aid synthetic data produce an neural network (E-C NN),...