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Building Drag Parameterization Including Anisotropy and Its Coupling with the Weather Research and Forecasting Model 认领 引用
1
作者 Yuhang TIAN Zhenghui XIE +7 位作者 Jinbo XIE Binghao JIA Shuai SUN Peihua QIN Ruichao LI Longhuan WANG Heng YAN Yanbin YOU 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2026年第7期1461-1477,共17页
Buildings increase the urban surface roughness and reduce near-surface wind speeds due to the drag effect,which depends on the flow direction.In this study,a building drag parameterization scheme including the buildin... Buildings increase the urban surface roughness and reduce near-surface wind speeds due to the drag effect,which depends on the flow direction.In this study,a building drag parameterization scheme including the building anisotropy for all flow directions was developed through approximating buildings with elliptical columns to represent anisotropic frontal area index.The new scheme was coupled with the Weather Research and Forecasting(WRF)model to improve urban simulations in those including near-surface wind speeds.The conducted offline sensitivity tests with the developed scheme,using horizontal wind along different directions,show continuous transitions of drag coefficient and other variables depending on flow direction.The maximum difference of drag coefficient between the new and the original scheme reached 10%–20%of that from the original one.These monthly simulations of the WRF model with the new building drag scheme for Chengdu were conducted to validate the updated model against station observation and reanalysis data.Compared to the original scheme,the updated scheme reduces overestimation of 10-m wind speed by 0.1–0.2 m s−1(5%–15%of the original bias),overestimation of 2-m temperature by 0.1℃–0.4℃(20%–60%),and underestimation of 2-m relative humidity by 1%–3%(20%–60%).This is achieved by increasing the drag coefficient through an enhanced frontal area index and reducing wind speed.The diminished wind speed reduces sensible heat flux,enhances latent heat flux,and suppresses vertical motions,resulting in humidity accumulation and cooling in the lower atmosphere.These suggest that reasonable representation of the building anisotropy is important in researching urban climate. 展开更多
关键词 building drag parameterization frontal area index building anisotropy urban canopy model Weather Research and Forecasting model
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Aerodynamic shape optimization of hypersonic aircraft using data-driven generative nonlinear parameterization 认领 引用
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作者 Yan CHEN Jichao LI Jinsheng CAI 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第3期64-76,共13页
Aerodynamic shape optimization of hypersonic vehicles is critically important yet profoundly challenging.The difficulties arise from the need to manage multiple competing objectives,complex three-dimensional geometrie... Aerodynamic shape optimization of hypersonic vehicles is critically important yet profoundly challenging.The difficulties arise from the need to manage multiple competing objectives,complex three-dimensional geometries,and the extreme computational cost of high-fidelity aerodynamic simulations across subsonic,transonic,and hypersonic regimes.Despite recent advances,an effective global optimization strategy for hypersonic aircraft design remains limited,largely hindered by the curse of dimensionality.To remove this barrier,we propose a data-driven generative nonlinear shape parameterization framework for efficient aerodynamic design of hypersonic aircraft.This framework begins by constructing diverse hypersonic aircraft shapes that cover the feasible sub-domains of a high-dimensional design space.A linear dimension reduction method is used to transform the high-dimensional point-cloud database to a low-dimensional modal space.Subsequently,a nonlinear generative model is trained to learn the statistical distribution feature of the linear mode coefficients.The resulting generative latent space provides an efficient,lowdimensional,and expressive parameterization of aerodynamic shapes.The proposed method is validated in both single-point and multi-point optimization of hypersonic aircraft,demonstrating superior efficiency and effectiveness compared with conventional parameterization approaches.This study presents an efficient roadmap for aerodynamic shape parameterization and global optimization of next-generation aircraft. 展开更多
关键词 Aerodynamic shape optimization Deep-learning Dimension reduction Generative parameterization Hypersonic aircraft design
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Typhoon Kompasu(2118)simulation with planetary boundary layer and cloud physics parameterization improvements 认领 引用
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作者 Xiaowei Tan Zhiqiu Gao Yubin Li 《Atmospheric and Oceanic Science Letters》 CAS CSCD 2026年第1期41-46,共6页
This study introduces a new ocean surface friction velocity scheme and a modified Thompson cloud microphysics parameterization scheme into the CMA-TYM model.The impact of these two parameterization schemes on the pred... This study introduces a new ocean surface friction velocity scheme and a modified Thompson cloud microphysics parameterization scheme into the CMA-TYM model.The impact of these two parameterization schemes on the prediction of the movement track and intensity of Typhoon Kompasu in 2021 is examined.Additionally,the possible reasons for their effects on tropical cyclone(TC)intensity prediction are analyzed.Statistical results show that both parameterization schemes improve the predictions of Typhoon Kompasu’s track and intensity.The influence on track prediction becomes evident after 60 h of model integration,while the significant positive impact on intensity prediction is observed after 66 h.Further analysis reveals that these two schemes affect the timing and magnitude of extreme TC intensity values by influencing the evolution of the TC’s warm-core structure. 展开更多
关键词 Tropical cyclone Numerical simulation Planetary boundary layer parameterization scheme Cloud physics scheme
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Comparison of bottom friction parameterization schemes and the application in tidal simulation and tidal energy dissipation assessment 认领 引用
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作者 Jiarui LIAN Hailong GUO +1 位作者 Yizhou LAI Feimeng HUANG 《Journal of Oceanology and Limnology》 SCIE CAS CSCD 2026年第2期590-602,共13页
Bottom frictional dissipation is one of the key mechanisms regulating the tidal movement in the areas surrounding Taiwan Island,China.However,our existing understanding in this field remains incomplete,because the bot... Bottom frictional dissipation is one of the key mechanisms regulating the tidal movement in the areas surrounding Taiwan Island,China.However,our existing understanding in this field remains incomplete,because the bottom friction coefficient(BFC)of this area is still unclear.Based on the Semi-implicit Cross-scale Hydroscience Integrated System Model(SCHISM)ocean numerical model,three bottom friction parameterization schemes(BFPSs)were compared,namely the Adjoint Data Assimilation(ADA),Manning Depth-dependent Formula(MDF),and Constant.This research finds that the ADA scheme performed best in tidal simulation.The error of elevation is less than 8.48 cm.Based on the simulation results of the ADA scheme,the tidal dynamic characteristics and bottom frictional dissipation surrounding Taiwan Island were systematically analyzed.Results show that the amplitude peaks of the semidiurnal tides are located in the vicinity of 25°N,119°E.A densely-packed zone of isophase lines and a zero-ellipticity demarcation line were observed at 23.5°N.Regarding the diurnal tides,the amplitudes exhibit an increasing trend from the southeast towards the northwest,and the isophase lines are orthogonal to the coastline.The frictional dissipation rate is generally high within the strait(mean of 3.1×103W/m2).However,it is relatively low in the Penghu Channel(mean of 1.34×105W/m2).Therefore,the tidal energy flux in the strait is concentrated at the northern and southern extremities(mean of 1.5×106W/m)as well as in the Penghu Channel.Similar correlations between tidal energy flux and bottom frictional dissipation rate are manifested in the eastern,southern,and northern parts of Taiwan Island. 展开更多
关键词 tidal simulation tidal energy flux bottom friction parameterization schemes(BFPSs) bottom friction dissipation areas surrounding Taiwan Island
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Advanced Meta-Heuristic Optimization for Accurate Photovoltaic Model Parameterization:A High-Accuracy Estimation Using Spider Wasp Optimization 认领 引用
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作者 Sarah M.Alhammad Diaa Salama AbdElminaam +1 位作者 Asmaa Rizk Ibrahim Ahmed Taha 《Computers, Materials & Continua》 SCIE EI 2026年第3期2269-2303,共35页
Accurate parameter extraction of photovoltaic(PV)models plays a critical role in enabling precise performance prediction,optimal system sizing,and effective operational control under diverse environmental conditions.W... Accurate parameter extraction of photovoltaic(PV)models plays a critical role in enabling precise performance prediction,optimal system sizing,and effective operational control under diverse environmental conditions.While a wide range of metaheuristic optimisation techniques have been applied to this problem,many existing methods are hindered by slow convergence rates,susceptibility to premature stagnation,and reduced accuracy when applied to complex multi-diode PV configurations.These limitations can lead to suboptimal modelling,reducing the efficiency of PV system design and operation.In this work,we propose an enhanced hybrid optimisation approach,the modified Spider Wasp Optimization(mSWO)with Opposition-Based Learning algorithm,which integrates the exploration and exploitation capabilities of the Spider Wasp Optimization(SWO)metaheuristic with the diversityenhancing mechanism of Opposition-Based Learning(OBL).The hybridisation is designed to dynamically expand the search space coverage,avoid premature convergence,and improve both convergence speed and precision in highdimensional optimisation tasks.The mSWO algorithm is applied to three well-established PV configurations:the single diode model(SDM),the double diode model(DDM),and the triple diode model(TDM).Real experimental current-voltage(I-V)datasets from a commercial PV module under standard test conditions(STC)are used for evaluation.Comparative analysis is conducted against eighteen advanced metaheuristic algorithms,including BSDE,RLGBO,GWOCS,MFO,EO,TSA,and SCA.Performance metrics include minimum,mean,and maximum root mean square error(RMSE),standard deviation(SD),and convergence behaviour over 30 independent runs.The results reveal that mSWO consistently delivers superior accuracy and robustness across all PV models,achieving the lowest RMSE values of 0.000986022(SDM),0.000982884(DDM),and 0.000982529(TDM),with minimal SD values,indicating remarkable repeatability.Convergence analyses further show that mSWO reaches optimal solutions more rapidly and with fewer oscillations than all competing methods,with the performance gap widening as model complexity increases.These findings demonstrate that mSWO provides a scalable,computationally efficient,and highly reliable framework for PV parameter extraction.Its adaptability to models of growing complexity suggests strong potential for broader applications in renewable energy systems,including performance monitoring,fault detection,and intelligent control,thereby contributing to the optimisation of next-generation solar energy solutions. 展开更多
关键词 modified Spider Wasp Optimizer(mSWO) photovoltaic(PV)modeling meta-heuristic optimization solar energy parameter estimation renewable energy technologies
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A physically based all-sky ocean surface albedo parameterization:improvement and validation driven by solar zenith angle and atmospheric transmittance 认领 引用
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作者 Zijian Zhang Hanwen Ling Zhiyong Jiao 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2026年第5期208-217,共10页
Ocean surface albedo(OSA)is a fundamental parameter governing air-sea heat exchange and the Earth's radiative balance.However,the high variability of OSA under diverse environmental conditions poses a significant ... Ocean surface albedo(OSA)is a fundamental parameter governing air-sea heat exchange and the Earth's radiative balance.However,the high variability of OSA under diverse environmental conditions poses a significant challenge to its accurate representation in numerical models.This study aims to rigorously evaluate and validate a recently developed all-sky,broadband parameterization scheme for ocean surface albedo—driven by solar zenith angle and atmospheric transmittance and constructed using the four empirical coefficients A,B,C,and p—with a primary focus on its accuracy,generalizability,and environmental sensitivity.The model employs two physical predictors—solar zenith angle and atmospheric transmittance—to achieve a seamless transition between clear-sky and overcast conditions within a unified physical framework.Validation against high-frequency in situ observations from a fixed platform in the northern South China Sea,as well as historical datasets from the North Atlantic and central Pacific,confirms the scheme's high performance and broad applicability,with correlation coefficients consistently above 0.75 and low root-mean-square errors across these diverse oceanic regions.Crucially,comparative analysis reveals that the proposed scheme exhibits superior generalizability compared to both classical single-variable models and recent data-driven empirical schemes,particularly under complex open-ocean conditions.Furthermore,a diagnostic analysis of the model residuals is conducted to quantify the systematic influences of key environmental factors,including sea state and atmospheric water vapor,on the albedo.This analysis reveals that significant wave height provides a more robust description of sea surface roughness than wind speed,and that near-surface water vapor pressure is negatively correlated with the albedo residuals.Based on this finding,a first-order sea-state correction term is explicitly proposed,offering a physically consistent pathway to further reduce systematic biases under rough sea conditions. 展开更多
关键词 ocean surface albedo broadband parameterization solar zenith angle atmospheric transmittance radiative transfer climate modeling
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Is convection-permitting model really better than cumulus parameterization for simulating summer precipitation in the Hengduan Mountains?——A case study of summer 2009 认领 引用
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作者 LIU Xudong CHEN Ying +3 位作者 CEN Sixian LU Yaqiong BING Jiawei MING Guijia 《Journal of Mountain Science》 SCIE CSCD 2025年第12期4392-4407,共16页
The Hengduan Mountains are susceptible to hydrological disasters,with precipitation representing a significant risk factor.For effective disaster mitigation strategies,accurate rainfall simulation is essential,typical... The Hengduan Mountains are susceptible to hydrological disasters,with precipitation representing a significant risk factor.For effective disaster mitigation strategies,accurate rainfall simulation is essential,typically achieved through the use of numerical models.Some research has indicated that using a convection-permitting model(CPM)at high resolution(<4 km)could provide more precise rainfall estimates than traditional cumulus parameterization schemes(CPs)at lower resolutions,but CPM demands substantial computational resources.Therefore,to assess whether CPM maintains superior simulation accuracy,this study employed the Weather Research and Forecasting(WRF)model to simulate summer precipitation over the Hengduan Mountains in 2009,comparing CPM(4 km)and CPs(10 km)resolutions.The simulations were evaluated against satellite observations to quantify their performance differences.The results showed that all simulations overestimated amounts and frequency.The CPM outperformed most CPs,except the Tiedtke scheme,which exhibited Root Mean Square Errors(RMSEs)of 2.51 mm·day-1 for amount and 5.63%for frequency.The CPM had slightly higher RMSEs of 2.80 mm·day-1 and 6.98%,respectively.Both CPM and Tiedtke captured the spatial distribution of precipitation,but overestimations occurred in central and southern regions and underestimations in river valleys.While Tiedtke demonstrated superiority in various aspects,CPM provided more detail.Additionally,the study noted significant differences in diurnal variation at intermediate altitudes and found correlations between rainfall amounts and convective available potential energy(CAPE),frequency,and outgoing longwave radiation(OLR),respectively.Consequently,the Tiedtke scheme is suggested as a more resource-efficient alternative to CPM for simulating precipitation in the Hengduan Mountains. 展开更多
关键词 Convection-permitting model Cumulus parameterization Numerical simulation WRF
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MS-GAN:3D deep generative model for multispecies propeller parameterization and generation 认领 引用
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作者 Chenyu WANG Bo CHEN +2 位作者 Haiyang FU Yitong FAN Weipeng LI 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2025年第6期382-395,共14页
In this study,we introduce a deep generative model,named Multi-Species Generative Adversarial Network(MS-GAN),which is developed to extract the low-dimensional manifold of three-dimensional multi-species surfaces.In t... In this study,we introduce a deep generative model,named Multi-Species Generative Adversarial Network(MS-GAN),which is developed to extract the low-dimensional manifold of three-dimensional multi-species surfaces.In the development of MS-GAN,we extend the freeform deformation by incorporating principal component analysis to increase the non-linear deformation ability while maintaining geometric smoothness.The implicit information of multiple baselines is embedded in the feature extraction layers,to enhance the diversity and parameterization of multi-species dataset.Furthermore,Wasserstein GAN with a gradient penalty is used to ensure the stability and convergence of the training networks.Two experiments,ruled surfaces and propeller blade surfaces,are performed to demonstrate the advantages and superiorities of MS-GAN. 展开更多
关键词 Propellers Dimensionality reduction Parameterize Artificial intelligence Generative design
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Cloud Droplet Spectrum Evolution Driven by Aerosol Activation and Vapor Condensation:A Comparative Study of Different Bulk Parameterization Schemes 认领 引用
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作者 Jun ZHANG Jiming SUN +2 位作者 Yu KONG Wei DENG Wenhao HU 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2025年第7期1316-1332,共17页
Accurate descriptions of cloud droplet spectra from aerosol activation to vapor condensation using microphysical parameterization schemes are crucial for numerical simulations of precipitation and climate change in we... Accurate descriptions of cloud droplet spectra from aerosol activation to vapor condensation using microphysical parameterization schemes are crucial for numerical simulations of precipitation and climate change in weather forecasting and climate prediction models.Hence,the latest activation and triple-moment condensation schemes were combined to simulate and analyze the evolution characteristics of a cloud droplet spectrum from activation to condensation and compared with a high-resolution Lagrangian bin model and the current double-moment condensation schemes,in which the spectral shape parameter is fixed or diagnosed by an empirical formula.The results demonstrate that the latest schemes effectively capture the evolution characteristics of the cloud droplet spectrum during activation and condensation,which is in line with the performance of the bin model.The simulation of the latest activation and condensation schemes in a parcel model shows that the cloud droplet spectrum gradually widens and exhibits a multimodal distribution during the activation process,accompanied by a decrease in the spectral shape and slope parameters over time.Conversely,during the condensation process,the cloud droplet spectrum gradually narrows,resulting in increases in the spectral shape and slope parameters.However,these double-moment schemes fail to accurately replicate the evolution of the cloud droplet spectrum and its multimodal distribution characteristics.Furthermore,the latest schemes were coupled into a 1.5D cumulus model,and an observation case was simulated.The simulations confirm that the cloud droplet spectrum appears wider at the supersaturated cloud base and cloud top due to activation,while it becomes narrower at the middle altitudes of the cloud due to condensation growth. 展开更多
关键词 cloud microphysical parameterization cloud droplet spectrum aerosol activation cloud droplet condensation
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Large system study of chalcopyrite and pyrite flotation surfaces based on SCC-DFTB parameterization method 认领 引用
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作者 Jianhua Chen Yibing Zhang 《International Journal of Mining Science and Technology》 SCIE EI CAS CSCD 2025年第7期1037-1055,共19页
In recent years,the study of chalcopyrite and pyrite flotation surfaces using computational chemistry methods has made significant progress.However,current computational methods are limited by the small size of their ... In recent years,the study of chalcopyrite and pyrite flotation surfaces using computational chemistry methods has made significant progress.However,current computational methods are limited by the small size of their systems and insufficient consideration of hydration and temperature effects,making it difficult to fully replicate the real flotation environment of chalcopyrite and pyrite.In this study,we employed the self-consistent charge density functional tight-binding(SCC-DFTB)parameterization method to develop a parameter set,CuFeOrg,which includes the interactions between Cu-Fe-C-H-O-N-S-P-Zn elements,to investigate the surface interactions in large-scale flotation systems of chalcopyrite and pyrite.The results of bulk modulus,atomic displacement,band structure,surface relaxation,surface Mulliken charge distribution,and adsorption tests of typical flotation reagents on mineral surfaces demonstrate that CuFeOrg achieves DFT-level accuracy while significantly outperforming DFT in computational efficiency.By constructing large-scale hydration systems of mineral surfaces,as well as large-scale systems incorporating the combined interactions of mineral surfaces,flotation reagents,and hydration,we more realistically reproduce the actual flotation environment.Furthermore,the dynamic analysis results are consistent with mineral surface contact angle experiments.Additionally,CuFeOrg lays the foundation for future studies of more complex and diverse chalcopyrite and pyrite flotation surface systems. 展开更多
关键词 SCC-DFTB Parameterization Chalcopyrite Pyrite Flotation surface Large-scale system
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Towards a physics-constrained and interpretable datadriven parameterization scheme for mesoscale eddies in ocean modeling 认领 引用
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作者 Guosong Wang Shuai Song +5 位作者 Min Hou Xinrong Wu Xidong Wang Yaming Zhao Song Pan Zhigang Gao 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2025年第7期15-32,共18页
Mesoscale eddies play a pivotal role in deciphering the intricacies of ocean dynamics and the transport of heat,salt,and nutrients.Accurate representation of these eddies in ocean models is essential for improving mod... Mesoscale eddies play a pivotal role in deciphering the intricacies of ocean dynamics and the transport of heat,salt,and nutrients.Accurate representation of these eddies in ocean models is essential for improving model predictions.In this study,we propose a convolutional neural network(CNN)that combines data-driven techniques with physical principles to develop a robust and interpretable parameterization scheme for mesoscale eddies in ocean modeling.We use a highresolution reanalysis dataset to extract subgrid eddy momentum and then applying machine learning algorithms to identify patterns and correlations.To ensure physical consistency,we have introduced conservation of momentum constraints in our CNN parameterization scheme through soft and hard constraints.The interpretability analysis illustrate that the pre-trained CNN parameterization shows promising results in accurately solving the resolved mean velocity and effectively capturing the representation of unresolved subgrid turbulence processes.Furthermore,to validate the CNN parameterization scheme offline,we conduct simulations using the Massachusetts Institute of Technology general circulation model(MITgcm)ocean model.A series of experiments is conducted to compare the performance of the model with the CNN parameterization scheme and high-resolution simulations.The offline validation demonstrates the effectiveness of the CNN parameterization scheme in improving the representation of mesoscale eddies in the MITgcm ocean model.Incorporating the CNN parameterization scheme leads to better agreement with high-resolution simulations and a more accurate representation of the kinetic energy spectra. 展开更多
关键词 subgrid parameterization ocean mesoscale eddies physics-informed deep learning kinetic energy backscatter numerical simulation
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Improved Simulation of Tropical Cyclone Soudelor(2015)Using a Modified Three-Dimensional Turbulence Parameterization 认领 引用
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作者 Gengjiao YE Xu ZHANG +3 位作者 Shanghong WANG Hui YU Xuesong ZHU Mengjuan LIU 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2025年第7期1407-1422,共16页
A modified three-dimensional turbulence parameterization scheme,implemented by replacing the conventional eddydiffusivity formulation with the H-gradient model,has shown good performance in representing the subgrid-sc... A modified three-dimensional turbulence parameterization scheme,implemented by replacing the conventional eddydiffusivity formulation with the H-gradient model,has shown good performance in representing the subgrid-scale(SGS)turbulent fluxes associated with convective clouds in idealized tropical cyclone(TC)simulations.To evaluate the capability of the modified scheme in simulating real TCs,two sets of simulations of TC Soudelor(2015),one with the modified scheme and the other with the original scheme,are conducted.Comparisons with observations and coarse-grained results from large eddy simulation benchmarks demonstrate that the modified scheme improves the forecasting of the intensity and structure,as well as the SGS turbulent fluxes of Soudelor.Using the modified turbulence scheme,a TC with stronger intensity,smaller size,a shallower but stronger inflow layer,and a more intense but less inclined convective updraft is simulated.The rapid intensification process and secondary eyewall features can also be captured better by the modified scheme.By analyzing the mechanism by which turbulent transport impacts the intensity and structure of TCs,it is shown that accurately representing the turbulent transport associated with convective clouds above the planetary boundary layer helps to initiate the TC spin-up process. 展开更多
关键词 tropical cyclone turbulence parameterization numerical simulation tropical cyclone intensity tropical cyclone structure tropical cyclone spin-up process
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Fatigue reliability modeling using an energy-based parameter by loading cycle-failure life interference:Validation and application 认领 引用
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作者 Hanghang Gu Runzi Wang +5 位作者 Kun Zhang Ji Wang Li Sun Kaishang Li Xiancheng Zhang Shantung Tu 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2026年第3期68-79,共12页
Several probabilistic fatigue evaluation models have been proposed,but the effectiveness and accuracy of current models have not yet been examined.In this work,probabilistic fatigue life is linked to an energy-based d... Several probabilistic fatigue evaluation models have been proposed,but the effectiveness and accuracy of current models have not yet been examined.In this work,probabilistic fatigue life is linked to an energy-based damage parameter,where the statistic of logarithmic fatigue life is represented by this parameter.Taking into account the variability in loading amplitudes and material properties,a novel fatigue reliability assessment method for structural system is proposed,based on the probabilistic fatigue model and loading cycle-failure life interference principle.A series of strain-controlled fatigue tests of Inconel 718 alloy are conducted for model development and fatigue data with different strain ratios are collected from open literature to verify the model applicability.The results show that the proposed model aligns most closely with experimental data when compared to traditional probability-strain-life models,Xie's modified model,Castillo's model,and Correia's model.Furthermore,a turbine fir-tree attachment is taken as an instance to illustrate the implementation procedure for fatigue reliability analysis.It is evident that the proposed method mitigates the overly con-servative estimates typically provided by independent treatments in structural system reliability assessments.This research proposes a method for accurate evaluations of material-level fatigue life and system-level relia-bility supports reliability-centered design and life management of crucial structures. 展开更多
关键词 Fatigue reliability Energy-based parameter System-level Turbine fir-tree attachment
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Parameter identification method of multi-particle model for lithium-ion batteries 认领 引用
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作者 Junfu Li Xiaolong Li +2 位作者 Xueli Hu Quanqing Yu Zhaowei Zhang 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2026年第1期440-452,共13页
Electrochemical models,characterized by high fidelity and physical interpretability,have been applied in var-ious fields such as fast charging,battery state estimation,and battery material design.Currently,widely util... Electrochemical models,characterized by high fidelity and physical interpretability,have been applied in var-ious fields such as fast charging,battery state estimation,and battery material design.Currently,widely utilized single particle-based model exhibits high computational efficiency but suffers from low simulation accuracy under high-rate charge/discharge conditions.In this work,an electrochemical model for lithium-ion batteries based on multi-particle hypothesis is developed.Two particles are employed to represent the electrode char-acteristics of the positive and negative electrodes,respectively.Through theoretical derivation,mathematical equations are established to describe various processes within the battery,including solid-phase diffusion,li-quidphase diffusion,reaction polarization,and ohmic polarization.In addition,a method for obtaining model parameters is proposed.Finally,the model is experimentally validated by using lithium iron phosphate and nickel-cobalt-manganese lithium-ion batteries under constant current conditions.The identified battery elec-trochemical model parameters are within reasonable accuracy as evidenced by the experimental validation results. 展开更多
关键词 Lithium-ion battery Electrochemical model Multi-particle assumption Parameter identification
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Optimization of multi-process parameters in secondary cooling solidification process of S30432 continuous casting billet 认领 引用
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作者 Zhi-qiang Li Ying-xuan Shan +2 位作者 Li Wu Hua Hou Yu-hong Zhao 《China Foundry》 SCIE EI CAS CSCD 2026年第3期407-420,共14页
The synergistic mechanism of multiple process parameters on the solidification structure of niobium containing austenitic stainless steel during continuous casting is complex,which seriously affects the quality of con... The synergistic mechanism of multiple process parameters on the solidification structure of niobium containing austenitic stainless steel during continuous casting is complex,which seriously affects the quality of continuous casting billets and seamless pipes.In order to optimize the quality of continuous casting billet,a finite element model of solidification and heat transfer in continuous casting process was established for the secondary cooling process of continuous casting billet.The control variable method was used to explore the influence of casting speed and superheat on the solidification process.At the same time,an orthogonal scheme was designed to study the coupling effect of multiple process parameters on the heat transfer and solidification state of continuous casting billets,and optimized process parameters were selected.The optimization results of process parameters were verified through production experiments,and it is found that the enrichment of coarse niobium compounds directly causes the initiation and propagation of inner wall cracks during the large deformation hot piercing of S30432 seamless tubes.Process parameter optimization,especially the synergistic effect of the decrease of superheat and increase of specific water flow promotes the grain refinement and expension of equiaxed crystal zone,thereby mitigating the segregation of Nb elements and improving the distribution of niobium compounds. 展开更多
关键词 continuous casting solidification process process parameter optimization niobium compounds crack
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Current risk factors for male infertility and semen parameters:an umbrella review of systematic reviews and meta-analyses 认领 引用
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作者 Qi-Hao Wang Jian-Jun Ye +8 位作者 Ze-Yu Chen Chi-Chen Zhang Xin-Yang Liao Lei Zheng Kai Chen Xiang Tu Liang-Ren Liu Qiang Wei Yi-Ge Bao 《Asian Journal of Andrology》 SCIE CAS CSCD 2026年第3期284-296,共13页
Male infertility poses a substantial healthcare challenge and severely impacts the lives of patients.We aimed to investigate the risk factors for infertility and abnormal semen parameters.We conducted a comprehensive ... Male infertility poses a substantial healthcare challenge and severely impacts the lives of patients.We aimed to investigate the risk factors for infertility and abnormal semen parameters.We conducted a comprehensive search of the articles published in Web of Science,MEDLINE,and Embase databases from January 2000 to February 2025.Infertility,semen volume,sperm concentration,sperm count,sperm morphology,sperm motility,and sperm progressive motility were used as endpoints to evaluate the relevance of risk factors.A total of 43 studies were included,covering 67 risk factors associated with infertility and abnormal sperm parameters.A total of 249 effect sizes were scored individually using the Grading of Recommendations,Assessment,Development,and Evaluation(GRADE)tool,of which 136(54.6%)were classified as“very low”,59(23.7%)as“low”,and 54(21.7%)as“moderate”.Suffering from type 1 diabetes,metabolic syndrome,hyperthyroidism,systemic lupus erythematosus,chronic prostatitis,and leukocytospermia may increase the risk of abnormal semen parameters.Poor lifestyle habits(obesity,sleep disorders,and smoking),exposure to pollutants and various compounds(carbon disulfide,organophosphates,and lead),the use of medications(sulfasalazine,mesalazine,and selective serotonin reuptake inhibitors),and even some viral infections(severe acute respiratory syndrome coronavirus 2,human papillomavirus,and hepatitis viruses)were associated with decreased semen quality.Regular physical exercise,nut consumption,and adherence to a healthy dietary pattern may reverse this process.An increasing number of factors are associated with infertility;however,some of the aforementioned studies lack verification of causal relationships.Future studies need to be well designed to further confirm these relationships. 展开更多
关键词 male infertility risk factors semen parameter umbrella review
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Mixed-state Berry curvature in quantum multiparameter estimations 认领 引用
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作者 Xiaoguang Wang Xiao-Ming Lu +2 位作者 Yunbo Zhang Libin Fu Shu Chen 《Communications in Theoretical Physics》 SCIE CAS CSCD 2026年第5期80-84,共5页
For pure states,the quantum Berry curvature has been well studied.However,the quantum curvature for mixed states has received less attention.From the concept of symmetric logarithmic derivative,we introduce a mixed-st... For pure states,the quantum Berry curvature has been well studied.However,the quantum curvature for mixed states has received less attention.From the concept of symmetric logarithmic derivative,we introduce a mixed-state quantum curvature and find that it plays a key role in the field of multi-parameter precision estimations.Through spectral decomposition,we derive the mixed-state Berry curvature for both the full-rank and non-full-rank density matrices.As an example,we obtain the exact expression of the Berry curvature for an arbitrary qubit state. 展开更多
关键词 Berry curvature Uhlmann curvature mixed states quantum parameter estimation
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Modeling of bolted beam utilizing modified joint element and identification of contact parameters at the joint 认领 引用
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作者 Xiang Li Zhousuo Zhang +1 位作者 Zhuofan Zhou Dian Chen 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2026年第2期374-382,共9页
Research on the modeling of bolted connection structures primarily centers on the characterization of the connection interface.Accurate equivalent modeling of the connection interface is crucial for the effective mode... Research on the modeling of bolted connection structures primarily centers on the characterization of the connection interface.Accurate equivalent modeling of the connection interface is crucial for the effective modeling of bolted connection structures.This article considers the misalignment between the bolt plane and the beam plane,and establishes a modified joint element representing the bolted connection by using the seriesstiffness method.The contact stiffness in this modified joint element are identified using a genetic algorithm with an “emperor selection” strategy.The bolted connection beam model is achieved by refining the Euler-Bernoulli beam model through the incorporation of a modified joint element.The maximum error between the model calculation results and experimental results for each order of natural frequency is 2.39%.This demonstrates the feasibility of accurately characterizing the bolted connection beam through the utilization of the modified joint element for equivalent modeling.This research proposes a modeling method for bolted connection beams that accounts for the misalignment between the bolt plane and the beam plane,significantly enhancing modeling accuracy. 展开更多
关键词 Bolted joints Modified joint element Genetic algorithm Parameter identification
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Dimensional control of turbine blades via RSM-based process parameter optimization in investment casting 认领 引用
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作者 Sheng-jie Ren Rui-yuan Zhang +4 位作者 Sheng Meng Hang-yu Li Wen-jing Wang Zhong-min Xiao Kun Bu 《China Foundry》 SCIE EI CAS CSCD 2026年第3期451-461,共11页
To address the dimensional accuracy challenges in investment casting of DD6 nickel-based superalloy hollow turbine blades,a multi-parameter collaborative optimization and deformation response prediction method based o... To address the dimensional accuracy challenges in investment casting of DD6 nickel-based superalloy hollow turbine blades,a multi-parameter collaborative optimization and deformation response prediction method based on response surface methodology was proposed.Using a Box-Behnken design,with pouring temperature,shell temperature,and withdrawal rate as key variables,deformation response data were obtained through numerical simulation,and a second-order model incorporating linear,interaction,and quadratic terms was established to characterize the nonlinear coupling effects of process parameters on dimensional deformation.The results indicate that withdrawal rate is the dominant factor influencing deformation,while shell temperature exhibits a pronounced“U”-shaped nonlinear trend.Significant interactions between process parameters are also observed.The constructed model demonstrates high predictive accuracy,with R2 of 0.978 and an RMSE of 0.0026 mm,and exhibits strong generalization capability,enabling the identification of optimal parameter combinations even beyond the simulated dataset.Compared with conventional orthogonal design methods,the maximum deformation of the optimized process was reduced from 0.2021 mm to 0.1905 mm,achieving an improvement of approximately 5.74%.This work provides a theoretical foundation and practical strategy for dimensional accuracy control and multi-parameter process optimization in the manufacturing of complex thin-walled castings. 展开更多
关键词 response surface method turbine blade process parameter optimization investment casting
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Optimization of smooth blasting parameters and damage mitigation in jointed rock mass roadways 认领 引用
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作者 ZUO Ting LI Xianglong +4 位作者 WANG Jianguo TIAN Xufan HUO Fei CUI Guangjiu ZHANG Xiyuan 《Journal of Mountain Science》 SCIE CSCD 2026年第4期1772-1788,共17页
During mine roadway excavation in jointed and fractured rock masses,drilling and blasting remains a widely adopted method.However,the complex interaction between blasting-induced stress waves and pre-existing structur... During mine roadway excavation in jointed and fractured rock masses,drilling and blasting remains a widely adopted method.However,the complex interaction between blasting-induced stress waves and pre-existing structural planes often leads to overbreak,loosening of the surrounding rock,and an expanded excavation damage zone,posing significant challenges to roadway stability and construction safety.Most existing studies are limited to single-factor analyses or assume homogeneous rock mass behavior,leaving a critical gap in understanding the coupled effects of joint geometric parameters and blasting parameters on damage evolution.This study addresses this gap by developing a numerical model using LSDYNA to investigate blast damage control in jointed rock masses during roadway excavation.A systematic parametric analysis was conducted to evaluate the influence of joint dip angle(α),joint thickness(h),joint position,and blast-hole spacing(d)on blasting performance.The results show that atα=45°,particle vibration velocity at the monitoring points reaches its maximum,and fragmentation is most pronounced along the blast-hole connection line.Reducing the blast-hole spacing to 60 cm increases the peak effective stress at the joint plane to 72.8 MPa,yielding optimal fragmentation while mitigating excessive rock damage commonly associated with larger spacings.As joint thickness increases from 4 cm to 8 cm,the peak effective stress at the joint plane drops from 94.7 MPa to 70.8 MPa.This decrease of approximately 33.7%indicates that thicker joints substantially enhance stress-wave attenuation and energy dissipation.Moreover,increasing the distance between the joint and the blast hole from 5 cm to 15 cm significantly reduces damage in the rock mass between the source and the joint plane.Field validation demonstrates that the optimized smooth blasting scheme,compared to conventional blasting,improves the half-hole rate from 33.3%to 93.3%,increases the average advance per cycle from 2.43 m to 2.92 m,and reduces the depth of blast-induced damage from approximately 2.4 m to 1.5 m.These findings confirm that the proposed blasting parameters markedly enhance excavation quality and effectively limit blast-induced damage in jointed rock masses. 展开更多
关键词 Jointed rock mass Numerical simulation Smooth blasting Parameter optimization Rock mass damage
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