2023年10月27日，中国科学院大学Amirhossein Karamoozian博士访问人工智能研究院，并作题为“An Intelligent hybrid decision support model for Hydrocarbon Pipeline Projects”的学术报告。Dr. Amirhossein Karamoozian介绍了一种利用智能混合决策支持模型为管道项目选择最合适的材料的智能方法。
报告摘要(Abstract): Analysis of the properties of diverse pipe materials is a must for delivering the requirements of hydrocarbon pipeline projects. Three of the most commonly used hydrocarbon pipe materials are carbon steel, glass fiber-reinforced plastic (GRP), and glass fiber-reinforced epoxy (GRE). An Intelligent hybrid decision support model is utilized to select the most suitable pipe material for hydrocarbon pipeline projects. In this research, the decision-making trial and evaluation laboratory (DEMATEL) analysis is integrated with the analytic network process (ANP) and with Life Cycle Assessment. The proposed Intelligent decision-making model defines complex causal relationships among different criteria. It can also combine technical, economic, and environmental criteria for pipe material selection in hydrocarbon pipeline projects. Results show that the environmental impacts of carbon steel pipes are higher than other materials in almost every impact category, whereas GRE pipe is the most environmentally friendly of the three alternatives. The sub criterion of global warming potential is significant in the life cycles of all three pipe materials. This innovative model considers a range of relevant technical, economic, and environmental criteria and selects carbon steel pipe as having the highest value among the three alternatives.
