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optimization strategy for SAM in nuclear power plants based on NSGA-II

KERNTECHNIK 2023年第6期88卷 710-724页

作者： Zhou, Sikai Xie, Mingliang Zheng, Jianxiang Miao, Huifang Xiamen Univ Coll Energy 4221-104 Xiangan South Rd Xiamen 361002 Peoples R China Fujian Res Ctr Nucl Engn Xiamen 361102 Fujian Peoples R China Naval Univ Engn Coll Nucl Sci & Technol Wuhan 430033 Hubei Peoples R China China Nucl Power Operat Technol Corp Wuhan 430223 Hubei Peoples R China

The Severe Accident Management Guide (SAMG) is an important component of nuclear safety regulations. Many studies are being conducted to optimize severe accident management (SAM) strategies. To ensure the safety of nuclear power plants, decision makers need to monitor multiple parameters with security threats. Therefore, it is particularly important to search optimal SAM strategies under different numbers of mitigation targets. The Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is an evolutionary algorithm that does not require derivative differentiation and is capable of population search. In this study, a nuclear power plant accident optimization strategy is developed using the Modular Accident Analysis Program (MAAP) in conjunction with NSGA-II. The strategy enables decision makers to consider multiple mitigation objectives in a complex decision environment. Focusing on the CPR1000, this study applies the optimization strategy to automatically search for optimal mitigation strategies for small break loss of coolant accident (SBLOCA) and station blackout hot leg creep rupture accidents (SBOHLCR). Comparing the optimization results with the basic accident sequence, it is found that the reactor pressure vessel (RPV) failure time is delayed from 72,702 s to 128,730 s under SBLOCA and from 23,828 s to 28,363 s under SBOHLCR. This study has also verified that the optimal SAM strategy obtained by the strategy through dual objective optimization has better mitigation effects than a strategy that only considers one objective. This optimization strategy has the potential to be applied to other types of severe accident management studies in the future.

关键词： modular accident analysis program multi-objective optimization non-dominated sorting genetic algorithm-II nuclear power optimization strategy

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optimization strategy of wind energy harvesting via triboelectric-electromagnetic flexible cooperation

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APPLIED ENERGY 2022年 307卷 118311-118311页

作者： Li, Xiang Gao, Qi Cao, Yuying Yang, Yanfei Liu, Shiming Wang, Zhong Lin Cheng, Tinghai Chinese Acad Sci Beijing Inst Nanoenergy & Nanosyst Beijing 101400 Peoples R China Shenyang Jianzhu Univ Sch Mech Engn Shenyang 110168 Liaoning Peoples R China CUSTech Inst Technol Wenzhou 325024 Zhejiang Peoples R China Georgia Inst Technol Sch Mat Sci & Engn Atlanta GA 30332 USA

As a favorable renewable energy source, wind energy has the advantages of large reserves and wide distribution. To harvest wind energy effectively, an optimization strategy of wind energy harvesting is proposed in this paper, which flexibly combines the complementary advantages of the triboelectric nanogenerator (TENG) and electromagnetic generator (EMG) in different energy harvesting environments. Specifically, in weak wind environments, the TENG operates independently to harvest energy. While, once the wind speed increases to the critical wind speed, the EMG starts and operates coordinately with the TENG, which will effectively increase the energy harvesting capacity of the wind energy harvester. Based on this optimization strategy, the flexible cooperation triboelectric-electromagnetic harvester (FC-TEH) is designed. The FC-TEH could flexibly adjust energy harvesting capability according to variants of wind speed and adapt to the instability of natural wind. Experiments demonstrate that at the critical wind speed of 6 m/s, the FC-TEH reaches the critical speed (108 rpm). At natural wind speeds of about 8 m/s, the FC-TEH can successfully power a Bluetooth thermometer with a rated power of 20 mW. The optimization strategy will provide important guidance and reference for wind energy harvesting.

关键词： Triboelectric nanogenerator Electromagnetic generator Wind energy harvesting optimization strategy Flexible cooperation

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Construction and optimization strategy for collaborative governance of construction waste resource utilization

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KSCE JOURNAL OF CIVIL ENGINEERING 2025年第3期29卷

作者： Tang, Lingyi Wu, Tong Li, Qiming Nanjing Audit Univ Sch Engn Audit Dept Engn Audit Nanjing Jiangsu Peoples R China Nanjing Tech Univ Sch Civil Engn Dept Smart Construct & Management 30 Puzhu South Rd Nanjing Jiangsu Peoples R China Southeast Univ Sch Civil Engn Dept Construct Management & Real Estate Jiulonghu Campus Nanjing Jiangsu Peoples R China

The resource utilization of construction and demolition waste (C&DW) is critical for mitigating environmental impacts and promoting sustainable development. This research evaluates the current state of resource utilization governance in 35 pilot cities across China, identifying significant challenges. A collaborative governance framework and measurement scale are developed utilizing actor-network theory (ANT). The study employs structural equation modeling (SEM) combined with system dynamics (SD) to construct a model that simulates the interactions within collaborative governance mechanisms and their impact on governance performance. This model supports the development of scenario optimization strategies. A case study focusing on new district development in China illustrates the practical applications of the findings. The research reveals that the strategic focus and implementation of collaborative governance should evolve in response to the different stages of C&DW market development. From 2023 to 2025, the study recommends enhancing governance performance through multiagent collaborative supervision, fiscal and taxation incentives and constraints, and whole process information management. Between 2025 and 2030, the emphasis should shift towards improving whole-process information management, refining government guidance on resource utilization, and establishing a comprehensive technical standards system. From 2030 to 2035, it is advised that industry associations strengthen their role in guiding resource utilization methods and coordinating human resources, alongside a reasonable increase in the costs associated with resource disposal to further boost governance performance. These findings aim to provide valuable insights and recommendations for governments, industry associations, market actors, and other stakeholders involved in the collaborative governance of C&DW resource utilization.

关键词： Resource utilization Construction and demolition waste (C&DW) Collaborative governance mechanism optimization strategy Actor-network theory (ANT) Structural equation model and system dynamics (SEM plus SD)

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A cascaded FAS-UNet plus framework with iterative optimization strategy for segmentation of organs at risk

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MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING 2025年第2期63卷 429-446页

作者： Zhu, Hui Shu, Shi Zhang, Jianping Xiangtan Univ Sch Math & Computat Sci Xiangtan 411105 Peoples R China Hunan Key Lab Computat & Simulat Sci & Engn Xiangtan 411105 Hunan Peoples R China Hunan Inst Engn Sch Computat Sci & Elect Xiangtan 411104 Peoples R China Natl Ctr Appl Math Hunan Xiangtan 411105 Hunan Peoples R China Key Lab Intelligent Comp & Informat Proc Minist Ed Xiangtan 411105 Hunan Peoples R China

egmentation of organs at risks (OARs) in the thorax plays a critical role in radiation therapy for lung and esophageal cancer. Although automatic segmentation of OARs has been extensively studied, it remains challenging due to the varying sizes and shapes of organs, as well as the low contrast between the target and background. This paper proposes a cascaded FAS-UNet+ framework, which integrates convolutional neural networks and nonlinear multi-grid theory to solve a modified Mumford-shah model for segmenting OARs. This framework is equipped with an enhanced iteration block, a coarse-to-fine multiscale architecture, an iterative optimization strategy, and a model ensemble technique. The enhanced iteration block aims to extract multiscale features, while the cascade module is used to refine coarse segmentation predictions. The iterative optimization strategy improves the network parameters to avoid unfavorable local minima. An efficient data augmentation method is also developed to train the network, which significantly improves its performance. During the prediction stage, a weighted ensemble technique combines predictions from multiple models to refine the final segmentation. The proposed cascaded FAS-UNet+ framework was evaluated on the SegTHOR dataset, and the results demonstrate significant improvements in Dice score and Hausdorff Distance (HD). The Dice scores were 95.22%, 95.68%, and HD values were 0.1024, and 0.1194 for the segmentations of the aorta and heart in the official unlabeled dataset, respectively. Our code and trained models are available at https://***/zhuhui100/C-FASUNet-plus.

关键词： Segmentation of organs at risk Multiscale feature extraction optimization strategy Data augmentation

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optimization strategy for planing hull design

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INTERNATIONAL JOURNAL OF NAVAL ARCHITECTURE AND OCEAN ENGINEERING 2022年 14卷

作者： Tran, Thai Gia Van Huynh, Quang Kim, Hyun Cheol Nha Trang Univ Dept Naval Architecture & Marine Engn Nha Trang Vietnam Bach Khoa Sai Gon Coll Fac Engn HCMC Vietnam Ulsan Coll Fac Mech Engn Ulsan South Korea

The planing hull optimization has always been a difficult problem due to the trim changes caused by lift force and complex hydrodynamic interactions at high speeds. In this paper, a strategy is presented to optimize a planing hull design, starting from using dimensional analysis to establish a resistance objective function depending on three dimensionless hull form parameters, then using CFD or Savitsky method to predict resistance for each hull variant formed by changing each pair of hull form parameters in the resistance objective function, and finally, determining an optimal hull form variant with minimum resistance based on the combination of the Kriging surrogate model and Neldel-Mead optimization algorithm. In addition, our modified Savitsky computational procedure and suitable inputs for the CFD solver are also applied to improve the accuracy of planing hull resistance predictions. For practicality, the proposed strategy was applied to evaluate the design of a high-speed vessel, named K88, which was model tested but did not achieve the expected performance. As a result, this vessel can be optimally redesigned with the ability to reduce total resistance by about 11.3% when simultaneously correcting deadrise angle and breadth, and by about 19.4% when simultaneously correcting deadrise angle and chine height at the bow.(c) 2022 Society of Naval Architects of Korea. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： Computational Fluid Dynamics (CFD) optimization strategy High speed vessel Savitsky method K88

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An integrated optimization strategy by Joule heating technique enabling rapid fabrication of robust Li1.3Al0.3Ti1.7(PO4)3 solid-state electrolyte for all-solid-state lithium metal batteries

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JOURNAL OF COLLOID AND INTERFACE SCIENCE 2025年 686卷 660-671页

作者： Cui, Xiangming Chen, Xin Lin, Changzheng Wang, Jingzhao Guo, Zirui Zhou, Mi Yao, Zhouzhou Zhang, Jiaxin Sun, Shiyi Wang, Jianan Yan, Wei Xi An Jiao Tong Univ Sch Energy & Power Engn Dept Environm Sci & Engn Xian 710049 Peoples R China

The advancement of high-energy-density and intrinsically safe all-solid-state lithium metal batteries (ASSLMBs) is crucial for the comprehensive electrification of energy consumption. Nevertheless, intrinsic defects in solidstate electrolytes (SSEs) and suboptimal interfacial contacts often lead to uncontrolled dendritic growth during practical battery operation. To address these challenges, this study proposes an integrated optimization strategy for bulk-phase defects and interfacial contacts of Li1.3Al0.3Ti1.7(PO4)3 (LATP) SSEs based on ultra-fast Joule heating sintering (UHS) technique. Introducing specific sintering auxiliaries and a dual-process sintering approach can achieve the rapid densification of LATP SSEs. Additionally, the thermal pulse welding (TPW) technique for the integrated anode/SSE/cathode further provides superior SSE/electrode interface contact, facilitating the in-situ formation of a continuous ion-conducting network for improved electrochemical kinetics. The optimized Li||LATP||NCM811 ASSLMBs demonstrate exceptional specific capacity (185.9 mAh/g at 0.2 C) and robust cycling stability (90.9 % capacity retention after 100 cycles). This integrated optimization strategy can offer a critical technical reference for the rapid fabrication of high-performance ASSLMBs.

关键词： Solid-state batteries Solid-state electrolyte Joule heating optimization strategy

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NSGA-II algorithm based control parameters optimization strategy for megawatt novel nuclear power systems

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ENERGY 2025年 316卷

作者： Jiang, Qingfeng Wang, Pengfei Xi An Jiao Tong Univ Shaanxi Engn Res Ctr Adv Nucl Energy Shaanxi Key Lab Adv Nucl Energy & Technol Xian 710049 Peoples R China

The megawatt novel nuclear power system (MNNPS) of heat-pipe reactor coupled with supercritical carbon dioxide (sCO2) Brayton cycle is the critical research topic, and its control system plays an important role for its safety. However, there are very few studies on the optimization of MNNPS control parameters. Obtaining the best control parameters under specified control system structures is an important way to improve the safety of MNNPS. In this paper, a NSGA-II algorithm based control parameters optimization strategy for MNNPS is proposed. Firstly, the sensitivity analysis of control parameters was carried out to analyze the coupling effect between the system-controlled parameters. Subsequently, bi-objective and tri-objective control parameter optimization strategies were proposed for MNNPS, under which NSGA-II algorithm was used to optimize the control system parameters of MNNPS sequentially. Finally, to verify the effectiveness of the proposed optimization strategies, dynamic simulations of the MNNPS under typical transient conditions such as step and ramp load change transients were simulated. The simulation results demonstrate the effectiveness of the two optimization strategies, and the superiority of the tri-objective optimization strategy over the bi-objective optimization strategy. This paper can provide theoretical support for the optimization of MNNPS control system parameters.

关键词： optimization strategy Sensitivity analysis NSGA-II sCO2 Brayton cycle

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Recent Progress in Hybrid Intelligent Modeling Technology and optimization strategy for Industrial Energy Consumption Processes

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ENERGIES 2025年第8期18卷 1939-1939页

作者： Du, Sheng Jin, Li Huang, Zixin Wan, Xiongbo China Univ Geosci Sch Automat Wuhan 430074 Peoples R China Hubei Key Lab Adv Control & Intelligent Automat Co Wuhan 430074 Peoples R China Minist Educ Engn Res Ctr Intelligent Technol Geoexplorat Wuhan 430074 Peoples R China Wuhan Inst Technol Sch Elect & Informat Engn Wuhan 430205 Peoples R China

This editorial discusses recent progress in hybrid intelligent modeling technology and optimization strategy for industrial energy consumption processes. With the increasing emphasis on sustainable practices, efficient management of industrial energy consumption has become a critical concern. This editorial aims to explore innovative approaches that use artificial intelligence to model and optimize energy use in industrial processes. The integration of advanced technologies such as machine learning, artificial intelligence, and data analytics play a pivotal role in achieving energy efficiency, reducing environmental impacts and ensuring the sustainability of industrial operations. These studies collectively contribute to the body of knowledge on hybrid intelligent modeling technology and optimization strategy, offering practical solutions and theoretical frameworks to address energy conservation and consumption reduction.

关键词： hybrid intelligent modeling industrial processes optimization strategy artificial intelligence energy conservation and consumption reduction

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optimization strategy of power grid assets layout structure based on digital signcryption technology 4

Optimization strategy of power grid assets layout structure ...

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4th International Symposium on Computer Technology and Information Science, ISCTIS 2024

作者： Zhang, Zhen Xue, Ling Q., Song T., Zhang State Grid Gansu Electric Power Company Gansu Province Lanzhou City730070 China State Grid Lanzhou Electric Power Supply Company Gansu Province Lanzhou City730070 China State Grid Gansu Power Company Electric Power Research Instituts Gansu Province 730070 China

ISBN: (纸本)9798350354560

At present, the balanced dispatching structure of power grid assets layout is generally single-level, and the scope of layout structure is small, which leads to the target value of optimization strategy is not ideal compared with the target value of actual layout structure optimization strategy, and the result of uniform distribution index is large. Therefore, the optimization strategy of power grid assets layout structure based on digital signcryption technology is proposed. Analyzing the distribution fitness value of influence factors, designing an objective function for optimizing the layout structure of power grid assets, setting constraints, and using the objective function of minimizing the visibility function to design the scale characteristics, calculating the information extraction result of the layout structure optimization of power grid assets;The influencing factors of power grid asset layout structure including technical factors, economic factors and environmental factors are analyzed to realize the optimization strategy of power grid asset layout structure. The experimental results show that the three target values of the highest value of technical factors, the minimum value of economic factors and the maximum value of environmental factors solved by this method are all better than the target values of the actual strategy, and the result of uniform distribution index is small, which has the best uniform distribution effect. © 2024 IEEE.

关键词： Digital signcryption technology Layout structure optimization strategy Power grid assets The influence factor allocates the adaptive value

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Experimental study on hydrogen-blended natural gas explosion in utility tunnels: Explosion control and optimization strategy

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JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES 2025年 97卷

作者： Cao, Jiaojiao Xu, Tong Wu, Jiansong China Univ Min & Technol Sch Emergency Management & Safety Engn Beijing 100083 Peoples R China

At present, there are almost no explosion control measures and optimization strategies suitable for the gas compartment of utility tunnels. The optimized layout of gas explosion energy mitigation measures with efficient, economical and safe can prevent explosion accidents from destroying utility tunnels. The control efficiency of explosion severity of hydrogen-blended natural gas (HBNG) under combined explosion control measures was explored. The control measures (CM) include vent, spray, energy-absorbing materials, and cavity, and their control effects are compared. The results show that the control effect on explosive energy of CM is ranked as central vent > energy-absorbing materials > end vent > cavity. The spray is highly effective in extinguishing flames but has relatively poor suppression effect on overpressure. Under the combined action of reverse stretching at the central vent and the spray water curtain wall, a V-shaped flame is presented, indicating a slowing of flame speed. The combination of the central vent and the energy-absorbing material enhances the dissipation and transfer of the explosion energy, and cavity and central vent hinder the flame propagation under the action of the suction. Under the closed utility tunnel, the fire extinguishing effect of energy-absorbing material and spray is the best, and the effect of energy-absorbing material and cavity is the worst. The optimal strategy for controlling explosion propagation in the utility tunnel is the combination of vent, cavity and energy-absorbing material. This study provides theoretical support for ensuring energy supply security in urban utility tunnels.

关键词： Hydrogen-blended natural gas (HBNG) Explosion control measures Explosion control mechanism Utility tunnels optimization strategy

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