Cursos

• Mineria de Datos MIIA - 4200
• Sistema de Apoyo a la Decisión (SAD) - IIND 2109
• Proyecto Intermedio Consultoria Empresarial (PICE) - IIND 3006

Investigación

Los principales intereses de investigación y áreas de trabajo de Rafael Amaya se centran en:

• Análisis de confiabilidad de activos
• Análisis de riesgo químico
• Análisis de variabilidad espacial
• Herramientas de analítica de datos
• Modelación probabilística
• Percepción del riesgo
• Seguridad de procesos

• Dentro de las publicaciones de Rafael se encuentra un libro, un capítulo de libro (otro en proceso de producción) y publicaciones en revistas indexadas en su mayoría Q1 y Q2. Las publicaciones de los últimos cuatro años (2020-2024) se muestran a continuación. Para mayor información, puede remitirse a:
  https://www.researchgate.net/profile/Rafael-Amaya
  
  
• R. Amaya-Gómez, E. Bastidas-Arteaga, M. Sánchez-Silva, F. Schoefs, F. Muñoz (2024) Corrosion and reliability assessment of inspected pipelines. Springer Nature, Springer Cham, ISBN 978-3-031-43532-4,
  https://doi.org/10.1007/978-3-031-43532-4
  
  
• R. Amaya-Gómez, M. Sánchez-Silva, E. Bastidas-Arteaga (2022) Reliability Assessment of Corroded Pipelines Subjected to Seismic Activity. In: Stewart M.G., Rosowsky D.V. (eds) Engineering for Extremes. Springer Tracts in Civil Engineering. Springer, Cham.
  https://doi.org/10.1007/978-3-030-85018-0_18
  
  
• R. Amaya-Gómez, M. Sánchez-Silva, E. Bastidas-Arteaga. Assessment of seismic-induced failures for corroded onshore pipelines. In: Cruz, Ana Maria and Aoki, Shin-Ichi (eds) Natech risk management in practice: Multi-stakeholder perspectives (Under production process).
  
  
• R. Amaya-Gómez, M. Sánchez-Silva, F. Muñoz, F. Schoefs, E. Bastidas-Arteaga (2024) Spatial characterization and simulation of new defects in corroded pipeline based on In-Line Inspections, Reliability Engineering & System Safety, Vol. 241, 109697,
  https://doi.org/10.1016/j.ress.2023.109697
  
  
• D. Burgos, S. Valencia, R. Amaya-Gómez, N. Ratkovich (2023). Critique – Comparison between P-HENS and Aspen Energy Analyzer for heat exchanger network synthesis, Education for Chemical Engineers Vol. 43,
  https://doi.org/10.1016/j.ece.2023.02.004
  
  
• A. Hernández, E.S. Torres, R. Amaya-Gómez, D. Pradilla (2023). Oil onshore Pipeline Quantitative Risk Assessment under Fire and Explosion Scenarios, Processes Vol. 11, No. 2,
  https://doi.org/10.3390/pr11020557
  
  
• R. Amaya-Gómez, V. Dumar, M. Sánchez-Silva, M.A. Torres-Cuello, A. Ávila, F. Muñoz (2023). An analysis of engineering students’ risk perception to support process safety learning process. Education for Chemical Engineers. Vol. 42, pp. 7-19,
  https://doi.org/10.1016/j.ece.2022.10.003
  
  
• N. Ratkovich, R. Amaya-Gómez (2022) Membrane BioReactor (MBR) Activated Sludge Surrogate Alternatives Carboxymethyl Cellulose and Xanthan Gum: A Statistical Analysis and Review, Membranes 2022, 12, 909.
  https://doi.org/10.3390/membranes12100909
  
  
• A. Cepeda-Vega, R. Amaya-Gómez, M.Asuaje, C. Torres, C. Valencia, N. Ratkovich (2022) « Pipeline two-phase flow pressure drop Algorithm for Multilple Inclinations» Processes, vol 10. No 5, 1009,
  https://doi.org/10.3390/pr10051009
  
  
• R. Amaya-Gómez, F. Schoefs, M. Sánchez-Silva, F. Muñoz, E. Bastidas-Arteaga (2022) « Matching of corroded defects in onshore pipelines based on In-Line Inspections and Voronoi partitions» Reliability Engineering & System Safety,
  https://doi.org/10.1016/j.ress.2022.108520
  
  
• R. Amaya-Gómez, E. Bastidas-Arteaga, F. Muñoz, M. Sánchez-Silva (2021) « Statistical Soil Characterization of an Underground Corroded Pipeline Using In-Line Inspections » Metals, vol 11. No 292,
  https://doi.org/10.3390/met11020292
  
  
• R. Amaya-Gómez (2021) « Multiscale framework for corrosion and reliability assessment of inspected pipelines». Academic Journal of Civil Engineering, vol. 39 No. 1 . Special Issue RUGC 2021 – Prix René Houpert, p. 301-308.
  https://doi.org/10.26168/ajce.39.1.51
  
  
• R. Amaya-Gómez, E. Bastidas-Arteaga, F. Schoefs, F. Muñoz, M. Sánchez-Silva « A condition-based dynamic segmentation of large systems using a Changepoints algorithm: A corroding pipeline case,» Structural Safety, vol. 84, p. 101912,
  https://doi.org/10.1016/j.strusafe.2019.101912