 Event Information |
|
Special Seminar: Dr. Hernando Maldonado Colmán, Princeton University FIGHTING FIRE WITH FIRE SCIENCE AND MODELING: HARNESSING MULTI-PHYSICS MODELS AND DATA FOR A MULTI-SCALE PROBLEM ABSTRACT: Fires are devastating events that can have widespread impacts, affecting not only natural and urban areas but also endeavors such as space exploration. Overall, fires have an impact on people’s health and lives, the ecosystem, the climate, and the economy. Research is imperative to understand the conditions and the underlying physical mechanisms that trigger and propagate fires in order to prevent or neutralize them. Undertaking these challenges requires computational fluid dynamics (CFD) simulations integrating multi-physics phenomena, such as turbulent combustion, soot formation, radiation, wall heat transfer, etc. Sophisticated models are needed to enable both accurate and fast simulations in multi-scale scenarios. In the first part of this talk, I will discuss my research on soot modeling in turbulent reacting flows. In this context, soot formation has been considered a major challenge due to its complex nature and plays a major role in fire propagation. I will present an overview of tracking the evolution of soot and soot size distribution, utilizing both physics- and data-based. Then, I will present a vignette of combustion modeling, showcasing how effective modeling approaches can drive the development of new technology, with a focus on ammonia combustion. In the second part of this talk, I will outline three future research thrusts focusing on fire science: the multi-physics nature of fires, the multi-scale modeling aspects, and pollutant emissions, leveraging both physics-based models and data-science tools. This research will address the grand challenge of predicting urban and wildland fires, minimizing the trade-off between computational efficiency and accuracy. BIOGRAPHY: Hernando Maldonado Colmán is a postdoctoral scholar at the Department of Mechanical and Aerospace Engineering at Princeton University. He received his Ph.D. in Combustion and master’s degree in Thermal Sciences from École Centrale Supélec at Paris-Saclay University, France. His research focuses on computational modeling of multi-physics turbulent flows, including the development of physics- and data-based models for soot formation, radiation, turbulence, chemistry-soot interactions, and new concepts for decarbonized combustion. His most recent work on soot modeling received special recognition at the International Sooting Flame workshop in 2022. He has been selected as a Trailblazer in Engineering Fellow at Purdue University in 2023. This Event is For: Graduate • Undergraduate • Faculty • Staff
|
