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Parameterizing the Sea Surface Drag Coefficient over Aiyetoro in Ilaje Local Government Area,Ondo State,Southwestern Nigeria 认领 引用
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作者 Adekunle Ayodotun Osinowo Lateef Adesola Afolabi +2 位作者 Pasquale Contestabile Segun Ohunayo Ekudehinwa Gideon Efeoghene Ovwuwonye 《Sustainable Marine Structures》 2025年第3期43-62,共20页
Ocean surface waves and upper sea circulation are primarily propelled by wind force and are usually expressed in terms of sea surface drag coefficient(cd)that increases with sea surface roughness and wind speed.Thi... Ocean surface waves and upper sea circulation are primarily propelled by wind force and are usually expressed in terms of sea surface drag coefficient(cd)that increases with sea surface roughness and wind speed.This work discussed the cdparameterization at Aiyetoro,Ilaje Local Government Area,Ondo State,Southwestern Nigeria,to quantify the exchange of momentum in this region,The dependence of cd on some one hourly averaged variables sourced from ERA5 Reanalysis over a 71 year period(1950-2020)was clearly analysed.Results of the monthly mean and variability of cd and u10 over the study area showed that November had the lowest monthly mean cd and u10,with values of 0.000825 and 3.38 m/s,respectively,and August had the highest values of 0.001031 and 5.66 m/s,respectively.Furthermore,the cd variability is lowest(63.24%)in November and highest(106.35%)in August.The variability for u10 is lowest in March(198.18%)and greatest in October(304.37%).For the study location,five parameterizations,were statistically evaluated for the predictive power of cd on an annual,seasonal and monthly basis.Furthermore,the cd showed improved performance when using monthly values than when using annual and seasonal values.The equations yielded better performance in the wet season than in the dry season. 展开更多
关键词 Era5 Reanalysis Data Sea Surface Drag Parameterization Wind-Sea Interaction Wave Dynamics Momentum
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Parameterizing sea surface temperature cooling induced by tropical cyclones using a multivariate linear regression model 认领 引用 被引量：2
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作者 WEI Jun LIU Xin JIANG Guoqing 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2018年第1期1-10,共10页
Combining a linear regression and a temperature budget formula, a multivariate regression model is proposed to parameterize and estimate sea surface temperature（SST） cooling induced by tropical cyclones（TCs）. Thre... Combining a linear regression and a temperature budget formula, a multivariate regression model is proposed to parameterize and estimate sea surface temperature（SST） cooling induced by tropical cyclones（TCs）. Three major dynamic and thermodynamic processes governing the TC-induced SST cooling（SSTC）, vertical mixing, upwelling and heat flux, are parameterized empirically using a combination of multiple atmospheric and oceanic variables：sea surface height（SSH）, wind speed, wind curl, TC translation speed and surface net heat flux. The regression model fits reasonably well with 10-year statistical observationseanalysis data obtained from 100 selected TCs in the northwestern Pacific during 2001–2010, with an averaged fitting error of 0.07 and a mean absolute error of 0.72°C between diagnostic and observed SST cooling. The results reveal that the vertical mixing is overall the pre dominant process producing ocean SST cooling, accounting for 55% of the total cooling. The upwelling accounts for 18% of the total cooling and its maximum occurs near the TC center, associated with TC-induced Ekman pumping. The surface heat flux accounts for 26% of the total cooling, and its contribution increases towards the tropics and the continental shelf. The ocean thermal structures, represented by the SSH in the regression model,plays an important role in modulating the SST cooling pattern. The concept of the regression model can be applicable in TC weather prediction models to improve SST parameterization schemes. 展开更多
关键词 tropical cyclones SST cooling regression model parameterization
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Feature Solution in the Process of Parameterizing Port Model 认领 引用
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作者 彭禹 郝志勇 +2 位作者 孙秀永 刘东航 付鲁华 《Transactions of Tianjin University》 EI CAS 2004年第2期118-125,共8页
Aimed at attaining to an integrated and effective pattern to guide the port design process, this paper puts forward a new conception of feature solution, which is based on the parameterized feature modeling. With this... Aimed at attaining to an integrated and effective pattern to guide the port design process, this paper puts forward a new conception of feature solution, which is based on the parameterized feature modeling. With this solution, the overall port pre-design process can be conducted in a virtual pattern. Moreover, to evaluate the advantages of the new design pattern, an application of port system has been involved in this paper; and in the process of application a computational fluid dynamic analysis is concerned. An ideal effect of cleanness, high efficiency and high precision has been achieved. 展开更多
关键词 feature solution port modeling parameterization port computational fluid dynamics internal-combustion engine intake-exhaust system
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Progress and perspective in parameterizing soil respiration responses to temperature and moisture 认领 引用 被引量：1
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作者 Chenghai WANG Xiang FENG 《Science China Earth Sciences》 SCIE EI CAS CSCD 2025年第6期1767-1784,共18页
Soil respiration(RS)represents the largest carbon flux from terrestrial ecosystems to the atmosphere,substantially influencing the global carbon budget and climate change.RSexhibits vital yet complex nonlinear d... Soil respiration(RS)represents the largest carbon flux from terrestrial ecosystems to the atmosphere,substantially influencing the global carbon budget and climate change.RSexhibits vital yet complex nonlinear dependencies on soil temperature and moisture,while its response to these factors demonstrates pronounced spatiotemporal heterogeneity.Most land carbon cycle models use fixed temperature and moisture sensitivities to project RSchanges,which may induce substantial uncertainty in RSestimations and projections.This paper reviews recent progress in understanding spatiotemporal variations of RSsensitivities,their responses to global warming,and advances in parameterizing these sensitivities.The exponential temperature response and parabolic moisture response of RSare summarized,alongside their spatiotemporal sensitivities.Although some models have made progress in parameterizing spatiotemporally heterogeneous temperature and moisture sensitivities of RS,critical challenges persist,including insufficient mechanistic explanations,suboptimal validation performance,and poor cross-model consistency.Additionally,limitations in parameterizing the interactive effects of soil temperature and moisture on RSmay lead to notable biases in RSestimations.This paper advocates expanding in situ measurements of RSacross climatic zones and land cover types,and further deepening the analysis of these data with advanced techniques(e.g.,artificial intelligence)to establish more comprehensive relationships between RSand soil temperature and moisture.Such improvements would optimize land carbon cycle model parameterization,reduce estimation biases,enhance simulation precision,and ultimately provide robust scientific foundations for global carbon budgeting and climate policy formulation to support carbon neutrality goals. 展开更多
关键词 Soil respiration Soil carbon decomposition Temperature sensitivity(Q10) Moisture sensitivity Parameterization
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The Radiation Energy Distribution over the Tibetan Plateau:A Review and Perspective 认领 引用 被引量：2
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作者 Yaoming MA Nan YAO +1 位作者 Binbin WANG Weiqiang MA 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2026年第2期265-280,共16页
The Tibetan Plateau(TP),characterized by its elevated topography,plays a crucial role in regional environmental and climate dynamics,where the understanding of radiation energy budgets is essential.However,accurately ... The Tibetan Plateau(TP),characterized by its elevated topography,plays a crucial role in regional environmental and climate dynamics,where the understanding of radiation energy budgets is essential.However,accurately estimating the spatiotemporal variations of radiation budget components and surface albedo across the diverse landscapes of the TP remains a significant challenge for the scientific community.To address this issue,numerous atmospheric experiments and research initiatives have been conducted since the 1960s,focusing on quantitatively assessing the spatial distribution and temporal variations of radiation fluxes through both observational data and remote sensing techniques.This paper systematically reviews the key advancements in radiation energy studies over the past 35 years,with a particular focus on measurements derived from tens of radiation flux stations and satellite observations across the TP.Additionally,the development of parameterization schemes in topographical effects on radiation fluxes is also summarized.Finally,the paper discusses potential future research directions in this field. 展开更多
关键词 Tibetan Plateau radiation energy in situ observations satellite remote sensing topographical effects parameterization
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Inversion of IP-affected TEM data with full parametrization of dispersive resistivity 认领 引用 被引量：1
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作者 Li Hai Li Ke-ying +1 位作者 Li Zi-teng Guo Wei-li 《Applied Geophysics》 SCIE CSCD 2026年第1期28-44,426,427,共17页
In transient electromagnetic(TEM)surveys,the presence of chargeable materials in the exploration area can induce polarization effects,which influence the electromagnetic field and distort the TEM data.Traditional inve... In transient electromagnetic(TEM)surveys,the presence of chargeable materials in the exploration area can induce polarization effects,which influence the electromagnetic field and distort the TEM data.Traditional inversion methods that only account for resistivity may not provide accurate results under such conditions.This paper addresses this issue by employing a dispersive resistivity model to simulate TEM data that incorporates both electromagnetic induction and induced polarization eects.We use a Bayesian inversion framework to extract resistivity and induced polarization parameters(such as chargeability,time constant,and frequency dependency from the Cole-Cole model)from the TEM data.The Bayesian inversion method oers condence intervals for the inversion results,providing a quantitative assessment of the inherently non-unique multi-parameter inversion outcomes.Numerical simulations and inversion examples show that it is possible to accurately and reliably extract both resistivity and induced polarization parameters from TEM data,particularly for low-resistivity and high-polarization models.However,accurately recovering all target parameters remains challenging for resistive,chargeable bodies.Our approach was successfully applied to TEM data from Keyou Qianqi in Inner Mongolia,where we extracted the resistivity and induced polarization parameters of a conductive,high-polarization silver-lead-zinc ore body. 展开更多
关键词 Transient electromagnetic method Induced polarization Bayesian inversion Full parameter
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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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CIFLE:A physics-based machine learning framework with probabilistic inference for low-cycle fatigue life prediction 认领 引用
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作者 Jinyeong Yu Seho Cheon +3 位作者 Seong Ho Lee Ye Jin Kim Sung Hyuk Park Taekyung Lee 《Journal of Magnesium and Alloys》 SCIE EI CAS CSCD 2026年第4期456-472,共17页
Magnesium(Mg)alloys are prime candidates for lightweight structures owing to their low density and high specific strength,but the pronounced basal texture that develops during wrought processing produces marked tensio... Magnesium(Mg)alloys are prime candidates for lightweight structures owing to their low density and high specific strength,but the pronounced basal texture that develops during wrought processing produces marked tension-compression asymmetry.Under low-cycle fatigue(LCF)regime,this asymmetry is driven chiefly by repeated twinning-detwinning,making reliable life assessment exceptionally difficult.Therefore,cycle-informed fatigue-life estimation(CIFLE)is presented as a unified,physics-aware machine learning framework for predicting LCF lives of wrought Mg alloys that display pronounced asymmetry.CIFLE links three data-driven modules:a neural network that synthesizes representative hysteresis loops from basic loading inputs,an automated routine that interprets each loop into a concise set of mechanical and microstructural damage parameters,and a Bayesian network that maps those parameters to the life fraction while quantifying predictive uncertainty.The framework is trained and validated with cyclic deformation data from extruded AZ91 and SEN9 alloys,covering multiple strain amplitudes and extrusion conditions.Compared with conventional ε-N and energy-based models,CIFLE achieves higher accuracy and well-calibrated uncertainty,delivering reliable life estimates at untested strain amplitudes by bracketing and refining energy bounds from neighboring tests.It also augments sparse datasets through loop synthesis and preserves accuracy even when most tests are withheld.In a case at an untested strain amplitude,the framework narrows the initial empirical life window and yields estimates that closely follow measured lives,whereas traditional models require additional experiments or extensive parameter tuning.By combining physics-based energy concepts with data-driven cycle synthesis,the framework provides an accurate,interpretable and data-efficient route for fatigue design of wrought Mg alloys. 展开更多
关键词 Low-cycle fatigue Damage parameter Machine learning Magnesium
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AI-augmented electrochemical model for lithium-ion battery:Recent advances and perspectives 认领 引用
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作者 Juncheng Fu Zhengxiang Song +4 位作者 Jinhao Meng Jia Guo Kun Yang Wenchao Liu Le Huan 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2026年第2期1056-1080,I0021,共25页
With the rapid development of electric vehicles and grid-scale renewable integration,the demand for lithium-ion batteries(LIBs)has significantly increased with high expectations on enhanced energy density,cycle stabil... With the rapid development of electric vehicles and grid-scale renewable integration,the demand for lithium-ion batteries(LIBs)has significantly increased with high expectations on enhanced energy density,cycle stability,and failure resilience.Electrochemical models(EMs),serving as pivotal mechanismdriven analytical frameworks in battery research and applications,demonstrate unprecedented quantitative fidelity in characterizing intricate multi-physics dynamics for the next-generation battery management systems(BMS).The breakthrough innovations in artificial intelligence(AI)driven methods have revolutionized the dynamic modeling of LIBs.However,the deployment of AI-augmented EMs in BMS faces significant identifiability challenges due to strong parameter coupling.In addition,research on model simplification,parameter determination,and dynamic parameter identification remains largely fragmented.There is a lack of a comprehensive review to pave the way for the cross-domain innovations in BMS.To fill this gap,this paper presents a systematic review of the EMs for LIBs and examines the advancements in parameter determination techniques from both experimental measurement and numerical simulation perspectives.Besides,a comprehensive assessment of the progress in parameter identification from the standpoint of dynamic recognition is presented,encompassing both modelbased approaches and intelligent methods.Additionally,from the BMS standpoint,the strengths and limitations of existing approaches are evaluated.Finally,a coordinated framework for multi-stage identification needs to be established in the future.The potential of digital twins(DT),deep reinforcement learning(DRL),and large language models(LLMs)in enhancing EMs also warrants further exploration.The purpose of this work is to provide insights and guidance for the future development of EMs in LIB applications. 展开更多
关键词 Lithium-ion battery Parameterization Dynamic electrochemical model Intelligent approach
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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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Coupled TM-damage modeling and global sensitivity analysis of thermal spalling in heterogeneous rocks 认领 引用
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作者 Liyuan Liu Mingshan Shi +4 位作者 Derek Elsworth Tao Wang Hongguang Ji Le Zhang Yaohui Li 《International Journal of Mining Science and Technology》 SCIE EI CAS CSCD 2026年第3期535-552,共18页
Thermal spalling in heterogeneous rocks under rapid heating poses critical risks to deep mining and geothermal operations.In this study,we develop a coupled thermal-mechanical-damage(TM D)model that explicitly incorpo... Thermal spalling in heterogeneous rocks under rapid heating poses critical risks to deep mining and geothermal operations.In this study,we develop a coupled thermal-mechanical-damage(TM D)model that explicitly incorporates Weibull distributed heterogeneity to a single fracture in rock,and validate it against ceramic quenching and granite acoustic emission experiments.Distance based generalized sensitivity analysis(DGSA)is applied to quantify the influence and interactions of key parameters,revealing the dominant controls on spalling onset,severity,and damage morphology.The results demonstrate that thermal stress dominates crack initiation and propagation,that lateral constraints can significantly delay and suppress spalling,and that material heterogeneity markedly influences peak stress and damage modes within a certain range of thermal expansion coefficient and has multiple effects on thermal spalling.This study provides a theoretical basis for quantitative assessment and parameter optimization of thermal spalling processes in rock masses. 展开更多
关键词 Rock heterogeneity Thermal spalling Microstructure evolution Sensitivity analysis Parameter interaction effect
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Effects of dietary allicin supplementation on nutrient digestion and gastrointestinal health of Guizhou black goats 认领 引用
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作者 Chao Yuan Xiaomin Wu +10 位作者 Yang Yang Yong Han Chaozhi Su Pramote Paengkoum Xin Wang Jiafu Zhao Shengyong Lu Haolin Chen Defeng Wang Wen Xiao Yong Long 《Animal Nutrition》 SCIE CAS CSCD 2026年第2期397-413,共17页
This study aimed to reveal the effects of allicin on nutrient digestion,gastrointestinal enzyme activity,rumen fermentation parameters,gastrointestinal morphology,intestinal barrier function,and gastrointestinal micro... This study aimed to reveal the effects of allicin on nutrient digestion,gastrointestinal enzyme activity,rumen fermentation parameters,gastrointestinal morphology,intestinal barrier function,and gastrointestinal microbial ecology of Guizhou black goats.Thirty-two male Guizhou black goats,each aged five months,with an initial body weight of 18.28±0.41 kg,were divided into one of four groups in a completely randomized design:control(CON,without allicin),low allicin(L;0.5 g/d per head),medium allicin(M;0.75 g/d per head),and high allicin(H;1 g/d per head),respectively.Each group consisted of eight replicates with one growing goat per replicate.The experiment lasted for 75 d,including a15-d acclimation period and a 60-d experimental period.The results showed that the apparent digestibility of crude protein(CP),dry matter(DM),and neutral detergent fiber(NDF)was highest in the M group,being significantly higher than those in the CON group(P<0.05).Moreover,ruminal cellulase and cellobiase activities,j ejunal trypsin activity,cecal cellulase activity,ruminal total volatile fatty acids(TVFA),acetate,propionate,and butyrate concentrations were all highest in the M group(P<0.05).In contrast,ruminal ammoniacal nitrogen(NH3-N)concentration was the opposite(P=0.015).As allicin inclusion increased,the jejunal trypsin activity and ruminal butyrate concentration exhibited linear responses(P<0.05),while the apparent digestibility of DM and NDF,rumen TVFA,acetate,and propionate concentrations,as well as cellulase and cellobiase activities were affected quadratically(P<0.05).In the jejunal mucosa,the protein expression levels and the relative mRNA expression levels of claudin 1,claudin 4,and ZO-1 were higher in the M group than in the CON group(P<0.05).As allicin supplementation increased,claudin 1,claudin 4,and ZO-1 protein expressions exhibited both linear and quadratic responses(P<0.001),whereas the relative mRNA expression levels were modulated solely by the quadratic term(P<0.05).Moreover,the L and M groups had significantly greater papillae height and muscle layer thickness than the CON group(P<0.05),and papillae width increased in a quadratic manner(P=0.029).However,the M group showed increased villus density compared with the CON group(P=0.026),with significant quadratic effects on papillae density and villus height(P<0.05).Importantly,allicin also improved the gastrointestinal microecological balance by reconstructing the gastrointestinal microbial composition.In conclusion,allicin improves gastrointestinal health by regulating gastrointestinal microbial composition,promoting nutrient absorption and tissue development,enhancing rumen fermentation and gastrointestinal enzyme activities,and strengthening the intestinal barrier.The optimal supplementation level of allicin is 0.75 g/d per head. 展开更多
关键词 Apparent digestibility Histomorphology Guizhou black goat Gut microbes Intestinal barrier Rumen fermentation parameter
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Characteristics of microwave-induced borehole fracturing in hard rock with different heating rates and temperatures under true triaxial stress 认领 引用
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作者 Jiuyu Zhang Feng Lin +4 位作者 Xia-ting Feng Yuntan Ao Shiping Li Tianyang Tong Xiangxin Su 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第3期1768-1780,共13页
Abstract:Microwave-based destressing is regarded as a promising approach for proactively preventing and controlling rockbursts in deep hard rock.As the fracturing degree of microwave-induced boreholes is affected by b... Abstract:Microwave-based destressing is regarded as a promising approach for proactively preventing and controlling rockbursts in deep hard rock.As the fracturing degree of microwave-induced boreholes is affected by borehole diameter,water content,mineral content,etc.,it is difficult to establish relationships between them.The research aims to unify various factors with heating rate and temperature,and establish a microwave parameter design method based thereon.Tests on microwave-induced borehole fracturing in hard rock with different or similar heating rates and temperatures under true triaxial stress were conducted.The test results show that both heating rate and temperature promote radial fracture of the rock,but have little effect on the development of axial fractures.Compared with heating rate,temperature is a more critical factor influencing microwave-induced fracturing.The effects of the heating rate on rock fracturing become noticeable only at higher temperatures.When the heating rate and temperature are similar but the diameter of the boreholes is different,the crack distribution,total length,wave velocity attenuation,and fracture process are similar.It is feasible to reverse-design microwave parameters under different borehole diameters based on the heating rate and temperature.Thermal fracturing of basalt shows a distinct threshold effect between 150℃ and 195℃(with an average of about 175℃),and the heating rate and borehole diameter exert minor influences thereon.The results provide guidance for the design of microwave parameters in practice. 展开更多
关键词 Rockburst Destressing True triaxial stress Microwave-induced fracturing Microwave parameter design
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Estimation of truck mass and center of gravity using data-driven mechanics:a comparative study of TSO-SVM,CS-BP,SSA-ELM,and WOA-XGBoost in automotive dynamics 认领 引用
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作者 Wei Liu Yuanyou Fu +2 位作者 Yongjun Pan Weicheng Huang Aki Mikkola 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第2期160-177,共18页
Accurate estimation of a truck’s mass and center of gravity(CG)is critical for optimizing safety and performance butremains challenging due to dynamic uncertainties in weight distribution and road interactions.This s... Accurate estimation of a truck’s mass and center of gravity(CG)is critical for optimizing safety and performance butremains challenging due to dynamic uncertainties in weight distribution and road interactions.This study introduces a datadriven mechanics framework integrating four hybrid machine learning(ML)models-tuna search-optimized support vector machine,cuckoo search-optimized BP neural networks,sparrow search algorithm-optimized extreme learning machine,and whalesearch-optimized XGBoost-to enable estimation.A 17-degree-of-freedom multibody dynamics model,incorporating suspension kinematics via a semirecursive formulation,generates simulation datasets linking real-time tuck states(pitch,roll)to massand CG.Search algorithms leverage physics-derived truck state data to initialize ML hyperparameters,enhancing training efficiency.Validation against multibody benchmarks confirms accuracy,while robustness is demonstrated across driving scenariosand noise.By unifying data-driven ML with physics-based mechanics,this approach advances parameter estimation,bridgingtruck dynamics with computational intelligence for automotive design. 展开更多
关键词 Parameter estimation Data-driven mechanics Multibody dynamics Center of gravity Hybrid machine learning Real-time estimation
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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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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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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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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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Fully coupled thermo-hydro-mechanical dual-medium model and development of seepage mechanisms in fractured rock masses 认领 引用
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作者 ZHANG Chuang REN Song +1 位作者 LONG Neng-zeng CHEN Zheng 《Journal of Central South University》 SCIE EI CAS CSCD 2026年第6期2721-2742,共22页
The seepage mechanism of fractured rock masses provides a basis for deep geothermal development,tunnel engineering,and nuclear waste disposal.This study developed a coupled thermal,hydraulic,and mechanical(THM)dual-me... The seepage mechanism of fractured rock masses provides a basis for deep geothermal development,tunnel engineering,and nuclear waste disposal.This study developed a coupled thermal,hydraulic,and mechanical(THM)dual-medium model based on thermodynamic theory.The model derives constitutive relationships for saturated porous and fractured media,characterizing interactions through mass and heat exchange.Model accuracy was validated against analytical solutions for one-dimensional thermoelastic consolidation.Simulations reveal seepage evolution patterns:fracture flow velocity initially depends on aperture distribution,while pore flow follows pressure gradient;at steady-state,fracture flow is controlled by overall pressure gradient,and pore flow is controlled by fluid exchange.This transformation occurs as the fracture apertures adjust from thermo-mechanical coupling,where high-temperature injection causes thermal expansion and closure stress.The analysis shows that the mass flux creates preferential flow patterns,lateral stress causes pathway shifts,and temperature gradients lead to fracture-dominated patterns.A sensitivity analysis indicates that the fracture conductivity depends on the mechanical parameters,whereas temperature propagation relates to the convection intensity.This study explains the seepage transformation under multifield coupling for rock mass control and stability assessment. 展开更多
关键词 fractured rock mass dual-medium thermo-hydro-mechanical coupling numerical simulation seepage mechanism parameter sensitivity
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