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学术报告第201761期

发布时间:2017-11-13 编辑:朱平 来源:

报告题目: Risk Science and Engineering = Systems Science and Engineeringfrom a risk perspective: where we are and where we need to go

报 告 人:Enrico Zio Professor(Politecnico Di Milano

报告时间:11179:30

报告地点:南一楼中311

 

Abstract:

    Risk Science and Engineering is Systems Science and Engineeringfrom a risk perspective. It involves the systematic collection and sound organization of knowledge about the systems hazards and vulnerabilities. It provides necessary information for decision making about the safe design and operation of critical systems.

    As the digital, physical and human worlds continue to integrate, we experience a deep transformation in industry, which far-reaches into our lives. The 4th industrial revolution, the internet of things and big data, the industrial internet, are changing the way we design, manufacture, provide products and services. This is creating a complex network of things and people that are seamlessly connected and communicating. It is providing opportunities to make productions systems more efficient and faster, and more flexible and resilient the complex supply chains and distribution networks that tie the global economy.

    In this fast-pace changing environment, the attributes related to the reliability of components and systems continue to play a fundamental role for industry and those related to safety and security continue to be increasingly of concern, as a right to freedom. The innovations that are being developed have high potential of increased wellbeing and benefits, but also generate new and unknown failure mechanisms, hazards and risks, partly due also to new and unknown functional and structural dependencies. On the other hand, the advancements in knowledge, methods and techniques, the increase in information sharing, data availability and computational capabilities, and the advancements in knowledge that these can bring, offer new opportunities of development for the analysis and assessment of risks. An evolution of risk science and engineering is in the making, or perhaps even a revolution that takes the form of new approaches to and methods for risk assessment.

    In the lecture, the above context is considered with respect to the needs for the advancement of risk assessment. In particular, some directions and challenges for risk assessment are discussed, in relation to simulation for accident scenario identification and exploration, resilience analysis, dynamic and condition monitoring-based risk assessment.