Intelligent Technologies and Processes for Advanced Nuclear Power and Energy Engineering (Volume II)

Dear Colleagues,

Nuclear power equipment is a national name card which plays an important role in the nuclear power supply of the new generation of onshore nuclear power plants, submarine aircraft carriers, marine development, deep space exploration and other major national projects. From the designation to decommissioning of nuclear power equipment, lifecycle digital and intelligent technologies implement a visual and flexible analysis mode and integrate information on the whole process to supply systematic engineering service in design, manufacturing, operation and management. Because of the numerous subsystems, complex working conditions and lengthy service period of advanced nuclear power equipment, how to realize its lifecycle digital and intelligent technologies is a daunting task. This has recently motivated researchers to explore new lifecycle digital and intelligent technologies of advanced nuclear power equipment.

With the success of the previous Special Issue, “Intelligent Technologies and Processes for Advanced Nuclear Power and Energy Engineering (Volume I)”, Volume II of this Special Issue will continue to present the latest advances and developments dedicated to the lifecycle digital and intelligent technologies for advanced nuclear power equipment, such as digital collaborative design, multidisciplinary design optimization and autonomous decision making, intelligent and sustainable nuclear manufacturing, predictive maintenance and autonomous diagnostics.

Topics of interest for this Special Issue include, but are not limited to, the following:

• Digital collaborative design and manufacturing in the nuclear power industry;
• Multidisciplinary design optimization and autonomous decision making for nuclear power equipment;
• Modular technologies for nuclear engineering;
• The whole lifecycle model system of nuclear power equipment;
• Intelligent nuclear manufacturing with digital twin;
• Four-dimensional digital construction schedule management in the nuclear power industry;
• Visual simulation technologies in start-up commissioning of nuclear systems;
• Sustainable nuclear manufacturing using data-driven approaches;
• Predictive maintenance for long-term operation of nuclear power equipment;
• Autonomous diagnostics and prognostics for nuclear power equipment;
• Information integration and cognitive system in nuclear power scenarios;
• Quality control and traceability of state co-evolution for nuclear power equipment;
• Domain knowledge coupling association and deep mining based on data space in the nuclear power industry.

Dr. Amir M. Fathollahi-Fard
Prof. Dr. Vigen H. Arakelian
Dr. Zhiwu Li
Dr. Zixian Zhang
Dr. Guangdong Tian
Guest Editors

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