{"title":"Vibration-absorbing design and comparing research on spent fuel transport cask","authors":"Ziwei Su , Chen Wang , Rui Chen","doi":"10.1016/j.jandt.2025.07.004","DOIUrl":"10.1016/j.jandt.2025.07.004","url":null,"abstract":"<div><div>The safe transportation of spent fuel is an important part of the sustainable development of nuclear power industry, the research and independent design of spent fuel transport cask is particularly urgent in China. In this paper, a new design of spent fuel transport cask with Vibration-absorbing device is proposed, and then the mechanical analysis of the cask under drop impact test is presented by using ANSYS software. The results show that the new cask loading and unloading is convenient, drop impact resistance under accident is better than typical cask, and satisfy the requirement of strength design.</div></div>","PeriodicalId":100689,"journal":{"name":"International Journal of Advanced Nuclear Reactor Design and Technology","volume":"7 3","pages":"Pages 279-283"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144633054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jie Mao, Qiliang Mei, Shengqin Gao, Dawei Sun, Yaru Fu, Jiaxin Liu
{"title":"Research on radiological consequences analysis of reactor control rod ejection accident based on peak radial average fuel enthalpy rise","authors":"Jie Mao, Qiliang Mei, Shengqin Gao, Dawei Sun, Yaru Fu, Jiaxin Liu","doi":"10.1016/j.jandt.2025.07.003","DOIUrl":"10.1016/j.jandt.2025.07.003","url":null,"abstract":"<div><div>The fission products residing in the fuel rod void volume (plenum and pellet-to-cladding gap) are available for release upon cladding breach, and the fission products release fraction is a key parameter for analyzing the radiological consequences of Reactor Control Rod Ejection Accident (REA). Instead of a set of constant release fractions specified in RG 1.183 (2000), RG 1.183 (2023) has been revised the fuel rod gap release fraction to Steady-State Fission Products Release Fraction (S<sub>FGR</sub>) that are originally residing in the fuel rod gap and Transient Fission Gas Release Fraction (T<sub>FGR</sub>) that are related to burnup and Radial Average Fuel Enthalpy Rise (△H).This paper specifically analyzes the relationship between the fission products release fraction and △H under different burnup, and a set of relatively conservative calculation dose results are obtained based on the empirical data of a specific power plant. In addition, a sensitivity analysis of the effect of △H on the dose consequences is carried out, and the analysis results show that the dose consequences increases linearly with △H when exceeding the critical conditions capable of causing T<sub>FGR</sub>.</div></div>","PeriodicalId":100689,"journal":{"name":"International Journal of Advanced Nuclear Reactor Design and Technology","volume":"7 3","pages":"Pages 257-263"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144595320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Vibration response simulation of centrifuge excited by liquid medium based on SPH-FEM","authors":"Kan Chen , Lu Chaoran , Guo Mingchao","doi":"10.1016/j.jandt.2025.06.006","DOIUrl":"10.1016/j.jandt.2025.06.006","url":null,"abstract":"<div><div>A coupled Smoothed Particle Hydrodynamics-Finite Element Method (SPH-FEM) framework is implemented to study flow-induced vibration problems of a decanter centrifuge drum under operational conditions. Excessive vibration has been measured on the centrifuge during operation at the rated speed, with the liquid medium contained within the rotating drum. The hydrodynamic excitation forces induced by the liquid medium are quantitatively characterized, along with the corresponding vibratory displacement amplitudes of the drum. The influence of vertical baffle numbers and horizontal baffle height on the vibration is studied. Finally, the optimized baffles configuration in the rotating drum is applied and achieves a good vibration suppression in industrial practice.</div></div>","PeriodicalId":100689,"journal":{"name":"International Journal of Advanced Nuclear Reactor Design and Technology","volume":"7 3","pages":"Pages 203-208"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144470285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Study on X-ray fluorescence measurement method for Fe content in secondary circuit sampling filter membranes of nuclear power plants","authors":"Yu Zhang, Jin-Zhe Zhang, Hong-Yu Chen","doi":"10.1016/j.jandt.2025.08.001","DOIUrl":"10.1016/j.jandt.2025.08.001","url":null,"abstract":"<div><div>The measurement of iron (Fe) content in second-loop sampling filter membranes is critical for evaluating corrosion product deposition in pressurized water reactor (PWR) nuclear power plants. Traditional atomic absorption spectrometry (AAS) methods face challenges such as long prolonged analysis cycles, high operational complexity, and safety risks associated with acid digestion. This study proposes a rapid and non-destructive X-ray fluorescence (XRF) method as an alternative. Standard filter membranes were prepared using Fe<sub>2</sub>O<sub>3</sub> and Fe<sub>3</sub>O<sub>4</sub> oxides via vacuum filtration, and a calibration curve was established for XRF quantification. Results demonstrated a strong linear correlation (R<sup>2</sup> > 0.99) between XRF and AAS measurements, with XRF achieving a lower detection limit (0.51 μg/cm<sup>2</sup> vs. 4.91 μg/cm<sup>2</sup>). Statistical analysis confirmed that XRF meets quantitative accuracy criteria (R<sup>2</sup> = 0.98–0.99) for Fe content analysis in plant filter membranes. The method's feasibility is further validated by addressing matrix effects from oxide morphology and moisture interference. This work provides a reliable approach for real-time monitoring of corrosion products in nuclear systems, reducing reliance on hazardous acid digestion processes.</div></div>","PeriodicalId":100689,"journal":{"name":"International Journal of Advanced Nuclear Reactor Design and Technology","volume":"7 3","pages":"Pages 341-350"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144888795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tao Liu , Yan Zhang , Chenchen Zhao , Honglei Huo , Quanbin Zhao , Weixiong Chen
{"title":"Dynamic analysis of cold end accident conditions for a space gas-cooled reactor coupled with He–Xe brayton cycle system","authors":"Tao Liu , Yan Zhang , Chenchen Zhao , Honglei Huo , Quanbin Zhao , Weixiong Chen","doi":"10.1016/j.jandt.2025.07.007","DOIUrl":"10.1016/j.jandt.2025.07.007","url":null,"abstract":"<div><div>Space nuclear power systems are promising for deep space missions. As the critical component of the space nuclear power system, radiators' performance significantly impacts both the cycle efficiency and operational safety. However, Radiators occupy a substantial portion of the spacecraft's volume and are highly susceptible to the harsh space environment, which may pose challenges to the system's safety. A dynamic model of the space gas-cooled reactor coupled with He–Xe brayton cycle system was established. Different accident scenarios, such as partial loss of NaK coolant flow and partial heat pipe failure, were simulated. Results indicate that the heat pipe radiator exhibits inherent safety. Under minor accidents, the radiator surface temperature rises to enhance radiative heat dissipation into space, compensating for the accident's impact. Heat accumulation within the radiator caused the operating temperature of heat pipes to rise. Under a NaK coolant flow reduction of 30 %, the maximum heat pipe operating temperature rose by 12.1 % to 473 K. Similarly, a partial failure of 15 % heat pipes led to a 5.4 % increase in maximum operating temperature, reaching 445 K. Notably, both scenarios revealed narrow safety margins for the water heat pipes, as their maximum temperatures only remained 27 K and 55 K below the design limit of 500 K, respectively. Concurrently, these cold-end accident detrimentally affected the system's cycle efficiency. The 30 % NaK flow reduction accident caused a relative decline of 5.79 % in cycle efficiency, while the 15 % heat pipe failure resulted in an efficiency relative drop of 4.66 %. These findings provide reference to the safe operation and control strategies of space nuclear power systems.</div></div>","PeriodicalId":100689,"journal":{"name":"International Journal of Advanced Nuclear Reactor Design and Technology","volume":"7 3","pages":"Pages 294-307"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144738824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multi-objective optimization of 200 kW air centripetal turbine based on artificial neural networks","authors":"Zideng Wang, Yan Zhang, Yuyang Leng, Jiabao Lai, Zhenzhen Wang, Weixiong Chen","doi":"10.1016/j.jandt.2025.04.013","DOIUrl":"10.1016/j.jandt.2025.04.013","url":null,"abstract":"<div><div>The air-Brayton cycle has the characteristics of safety and high efficiency, which can be used as an energy conversion system for mobile small reactors. The air turbine is one of the key components in the cycle system, and improving its performance is of great significance. In this paper, an artificial neural network model combined with a genetic algorithm was used to optimize the rotor of an air centrifugal turbine with axial thrust and efficiency as the objective. The results show that the artificial neural network model can fit the CFD numerical simulation results well, with a coefficient of determination larger than 0.97. Then, after optimizing the artificial neural network model with a genetic algorithm, the total -total efficiency of the air centrifugal turbine was improved by 1.479 %, while the axial thrust was reduced by 1.07 %.</div></div>","PeriodicalId":100689,"journal":{"name":"International Journal of Advanced Nuclear Reactor Design and Technology","volume":"7 2","pages":"Pages 70-80"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144123241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Numerical study on the factors affecting natural ventilation cooling and structural optimization of glass curing body temporary storage","authors":"Yuan Gao , Sihan Liu , Tianci Han , Kai Ma","doi":"10.1016/j.jandt.2025.05.005","DOIUrl":"10.1016/j.jandt.2025.05.005","url":null,"abstract":"<div><div>Glass curing technology is a mature and effective technical means to deal with high level liquid waste produced by spent fuel reprocessing. The dry storage technology of glass curing body is a developing trend. In the natural ventilation cooling of glass curing body temporary storage, the structural design is crucial, which directly affects the safety and stability of the temporary storage. This paper investigates the effects of various structural parameters and the application of insulating materials on the natural ventilation cooling effectiveness of the temporary storage based on Computational Fluid Dynamics (CFD). The goal is to enhance natural ventilation and reduce the thermal impact of the glass curing body on the concrete structure of the temporary storage. The results show that the height of exhaust shaft, the number of exhaust shaft, the shape of exhaust shaft, annular gap between shaft and glass products, inclination angle of baffle inside intake shaft, the dimensions of intake shaft and ventilation mode are the key factors affecting the ventilation cooling of temporary storage. The cross-sectional area of the air inlet and outlet, and the transverse pitch of glass products have little impact on the ventilation and heat exchange in the temporary storage. The optimal structural arrangement is obtained. The natural ventilation cooling effect is optimal when insulating materials are installed on the top and all four side walls of the temporary storage. The research provides a theoretical basis for the structural design and optimization of glass curing body temporary storage.</div></div>","PeriodicalId":100689,"journal":{"name":"International Journal of Advanced Nuclear Reactor Design and Technology","volume":"7 2","pages":"Pages 128-138"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144189875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Study on prediction model of nitrogen oxide concentration in reprocessing plant based on random forest","authors":"Xuankun Wei, Yan Xu, Xiaomeng Li, Gengxin Fan, Xuening Cheng, Tiantian Yu, Baihua Jiang","doi":"10.1016/j.jandt.2025.04.011","DOIUrl":"10.1016/j.jandt.2025.04.011","url":null,"abstract":"<div><div>During the spent fuel reprocessing process, nitrogen oxides (NOx) gases are generated. The treatment and emission control of NOx rely on measurements from instrumentation. In situations where operating conditions fluctuate, the response capability of the treatment system exhibits a lag, resulting in a rapid short-term increase in NOx concentration during final emissions. To predict the trend of NOx concentration changes in the reprocessing process and enhance the response capability of the NOx treatment system, a NOx concentration prediction model was developed using the Random Forest algorithm, based on data collected from actual operations. Feature engineering was employed to select variables, further improving the model's <em>R</em><sup>2</sup> to 0.92. The results indicate that the Random Forest model demonstrates excellent predictive performance for NOx concentration data and outperforms traditional machine learning models.</div></div>","PeriodicalId":100689,"journal":{"name":"International Journal of Advanced Nuclear Reactor Design and Technology","volume":"7 2","pages":"Pages 63-69"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144123240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Performance of sodium cooled traveling wave reactor core with axial fuel shuffling strategy","authors":"Meiyin Zheng , Ping Chen , Dalin Zhang , Wenxi Tian , Guanghui Su","doi":"10.1016/j.jandt.2025.05.007","DOIUrl":"10.1016/j.jandt.2025.05.007","url":null,"abstract":"<div><div>A prototype sodium cooled traveling wave reactor core with axial fuel shuffling, consist of an ignition and breeding region, was designed in this paper. Neutronic and depletion calculation was performed by MCORE with data library of ENDF/B-VII. A self-developed code SAST was used to perform steady state thermal-hydraulic behavior analysis. The results show that the fluctuation of the reactivity and power peak factor is too big, thus the ignition process should be optimized. The initial nuclide density distribution was adjusted and the axial fuel shuffling option was used to optimize the core ignition process. Results show that the maximum reactivity and radial power peak factor fluctuation are reduced to 1.04 % and 11.76 %; the power density distribution and neutron flux distribution move in the opposite direction of the fuel shuffling; power density, neutron flux and nuclide density are shaped like crescents in the core radial direction during equilibrium cycle; the discharged burn-up of the core is non-uniform, the maximum and minimum discharged burn-up of the outer and inner core are 17.7 % and 70.3 %, respectively. The core flow distribution analysis was based on the end of equilibrium cycle (EOEC) power distribution. Results show that maximum and minimum relative power flow ratio during the whole core life are 1.11 and 0.88; maximum fuel and cladding temperature are 676.9 °Cand 560.0 °C during the whole core life, which have a large safety margin to the design values.</div></div>","PeriodicalId":100689,"journal":{"name":"International Journal of Advanced Nuclear Reactor Design and Technology","volume":"7 2","pages":"Pages 177-186"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on fault diagnosis method for nuclear power plants rotating machinery based on MoCo Siamese neural network","authors":"Xia Yubo , Zhao Yanan , Zhao Pengcheng , Zhao Zhengcheng , Yu Tao","doi":"10.1016/j.jandt.2025.04.010","DOIUrl":"10.1016/j.jandt.2025.04.010","url":null,"abstract":"<div><div>Rotating machinery is a kind of significant equipment that widely used in nuclear power plants (NPPs). The harsh operating environment and long-term continuous operation of the rotating machinery can cause various faults due to wear, vibration et al., that threatens the safety of the NPPs. Intelligent fault diagnosis techniques can timely discover the abnormality of the rotating machinery, that received extensively attention in recent years. A fault diagnosis method for NPPs rotating machinery based on MoCo siamese neural network is proposed to address the issues of high noise, small sample, and low accuracy in fault diagnosis under actual operating conditions. The wavelet transform is used to denoise the sensor signals of rotating machinery and extract time-frequency features. The training samples are encoded by the siamese neural network method. The momentum contrast (MoCo) method is used to update the encoder of the siamese neural network. The cosine similarity is used to measure the similarity of sample coding features. The dataset of rotating machinery from Machinery Failure Prevention Technology (MFPT) is adopted to validate the effectiveness and accuracy of the MoCo siamese neural network method. The results shows that the proposed fault diagnosis method has strong noise resistance capability and can accurately diagnose rotating machinery in small sample conditions, demonstrating the potential application value in the fault diagnosis of NPPs rotating machinery.</div></div>","PeriodicalId":100689,"journal":{"name":"International Journal of Advanced Nuclear Reactor Design and Technology","volume":"7 2","pages":"Pages 187-194"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144253998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}