Descrizione del progetto
Un quadro di riferimento per valutare e ridurre al minimo il rischio di incendio nelle piattaforme offshore
Il progetto STOPFIRE, finanziato dall’UE, si propone di individuare i tipici scenari di incendio su piattaforme petrolifere e di gas offshore analizzando gli incidenti causati dagli incendi e creando simulazioni numeriche sulla loro evoluzione temporale e spaziale. Verrà costruito un modello di avviso di rischio per l’evacuazione dalla piattaforma offshore basato sulla rete neurale wavelet. Inoltre, verrà studiato il comportamento umano, nel tentativo di chiarire l’impatto degli incendi sulle persone e su altre risorse. Il lavoro del progetto sarà svolto con l’ausilio di un’ampia gamma di discipline, tra cui dinamica dei fluidi computazionale, simulazioni di evacuazione multi-agente, inferenza probabilistica e tecnologia della realtà virtuale.
Obiettivo
In this project, fire accidents on offshore oil and gas platform will be analysed to identify the typical fire scenarios, followed by numerical simulation on the temporal and spatial evolution of the fires. Secondly, the coupling mechanism between human behavior and fire development will be investigated to quantitatively characterize the impact of fire on people and other assets. Thereafter, based on fire numerical simulation and multi-agent theory, an evacuation simulation model of offshore platform fires will be proposed. Thirdly, the dynamic risk of offshore platform fire evacuation will be evaluated by considering both failure consequences and their probabilities. A risk warning model of offshore platform fire evacuation will be built based on the Wavelet Genetic Neural Network. Finally, a dynamic decision-making support system for fire emergency evacuation will be designed by integrating Computation Fluid Dynamic (CFD), multi-agent theory and the Virtual Reality (VR) technology.
This project covers a wide range of disciplines including CFD, multi-agent-based evacuation simulations, probabilistic inference (Bayesian inference and system dynamic model) and the VR technology. This Individual Fellowship will significantly accelerate the development of interdisciplinary knowledge, innovative research skills and new career of the nominated Fellow.
Campo scientifico
- natural sciencesmathematicsapplied mathematicsstatistics and probabilitybayesian statistics
- natural sciencesphysical sciencesclassical mechanicsfluid mechanicsfluid dynamics
- natural sciencescomputer and information sciencessoftwaresoftware applicationsvirtual reality
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
Parole chiave
Programma(i)
Argomento(i)
Meccanismo di finanziamento
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinatore
L3 5UX Liverpool
Regno Unito