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A cohesion loss model for determining residual strength of deep bedded sandstone 被引量:1
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作者 SONG Zhi-xiang ZHANG Jun-wen +12 位作者 ZHANG Yu-jie WU Shao-kang BAI Xu-yang ZHANG Li-chao ZHANG Sui-lin ZHANG Xu-wen FAN Guang-chen LI Wen-jun ZENG Ban-quan WANG Shi-ji SUN Xiao-yan SANG Pei-miao LI Ning 《Journal of Central South University》 2025年第7期2593-2618,共26页
Rock residual strength,as an important input parameter,plays an indispensable role in proposing the reasonable and scientific scheme about stope design,underground tunnel excavation and stability evaluation of deep ch... Rock residual strength,as an important input parameter,plays an indispensable role in proposing the reasonable and scientific scheme about stope design,underground tunnel excavation and stability evaluation of deep chambers.Therefore,previous residual strength models of rocks established were reviewed.And corresponding related problems were stated.Subsequently,starting from the effects of bedding and whole life-cycle evolution process,series of triaxial mechanical tests of deep bedded sandstone with five bedding angles were conducted under different confining pressures.Then,six residual strength models considering the effects of bedding and whole life-cycle evolution process were established and evaluated.Finally,a cohesion loss model for determining residual strength of deep bedded sandstone was verified.The results showed that the effects of bedding and whole life-cycle evolution process had both significant influences on the evolution characteristic of residual strength of deep bedded sandstone.Additionally,residual strength parameters:residual cohesion and residual internal friction angle of deep bedded sandstone were not constant,which both significantly changed with increasing bedding angle.Besides,the cohesion loss model was the most suitable for determining and estimating the residual strength of bedded rocks,which could provide more accurate theoretical guidance for the stability control of deep chambers. 展开更多
关键词 residual strength deep bedded sandstone whole life-cycle evolution process cohesion loss model rock mechanics
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Numerical simulation of residual stress field in green power metallurgy compacts by modified Drucker-Prager Cap model 被引量:7
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作者 周蕊 张连洪 +1 位作者 何柏岩 刘玉红 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2013年第8期2374-2382,共9页
Compaction process simulation and residual stress prediction of green PM compact were carried out with elasto-plastic 3D FEA based on the modified Drueker-Prager Cap model in Abaqus. The model parameters of the invest... Compaction process simulation and residual stress prediction of green PM compact were carried out with elasto-plastic 3D FEA based on the modified Drueker-Prager Cap model in Abaqus. The model parameters of the investigated powder Distaloy AE were determined as functions of relative density through typical mechanical property tests of powder. The model was implemented as a user subroutine USDFLD. Single sided compaction of a d20 ram^5 mm disk green compact of Distaloy AE was simulated, and the residual stress of the disk after ejection was predicted with FEA. The FEA results of the compaction process and the residual stress of the disk show good agreement with compaction experiments and X-ray diffraction measurements, which validates the model and its parameters. The results indicate that the compressive residual stresses exist mainly in a thin layer on the side surface, but the residual stresses are very small on the top and bottom surfaces. 展开更多
关键词 residual stress green compacts numerical simulation modified Drucker-Prager Cap model
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Fluid Flow in Fractured Rocks:From Multiphysics Paradigms to AI-Driven Predictive Modeling
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作者 Zhuo Pan Lin Zhu +1 位作者 Yi Xue Hao Xu 《Fluid Dynamics & Materials Processing》 2026年第2期42-105,共64页
Fluid flow through fractured rock masses is a key process controlling the safety and performance of deep geoengineering systems,shaped by the complex interactions of thermal,hydraulic,mechanical and chemical(THMC)fiel... Fluid flow through fractured rock masses is a key process controlling the safety and performance of deep geoengineering systems,shaped by the complex interactions of thermal,hydraulic,mechanical and chemical(THMC)fields.This paper presents a systematic review of this subject with special emphasis on the multi-physics governing it.First,we elucidate the interdependent mechanisms and governing equations,highlighting the nonlinear,path-dependent,and evolving nature of the relationship between stress and permeability.Next,mainstream modeling approaches,including equivalent continuum,discrete fracture network(DFN),and dual-porosity/dual-permeability methods,are critically evaluated,and a strategy for model selection based on project scale and geological context is proposed accordingly.Moreover,experimental insights from single-fracture and triaxial flow studies are synthesized,revealing how effective stress,shear displacement,and fracture roughness control permeability evolution.In particular,the practical significance of THMC coupling is demonstrated through case studies on nuclear waste disposal,Enhanced Geothermal Systems,and tunneling projects.The reviewfurther explores AI-and machine learning-driven innovations,particularly physics-informed neural networks and hybrid modeling,which address limitations in computational efficiency,data scarcity,and physical consistency.Finally,persistent challenges,including multi-scale coupling,parameter uncertainty,and complex fracture network representation are identified and critically discussed while paying attention to future developments. 展开更多
关键词 Fractured rock mass seepage flow multi-field coupling(THMC) DFN equivalent continuum model(ECM) AI ML PINN EGS geological disposal of nuclear waste
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An interactive framework integrating segment anything model and structure-from-motion for three-dimensional discontinuity identification in rock masses
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作者 Jiawei Wang Jun Zheng +4 位作者 Jie Hu Xiaojin Gong Qing Lü Ju Han Jialiang Sun 《International Journal of Mining Science and Technology》 2025年第10期1695-1711,共17页
The identification of rock mass discontinuities is critical for rock mass characterization.While high-resolution digital outcrop models(DOMs)are widely used,current digital methods struggle to generalize across divers... The identification of rock mass discontinuities is critical for rock mass characterization.While high-resolution digital outcrop models(DOMs)are widely used,current digital methods struggle to generalize across diverse geological settings.Large-scale models(LSMs),with vast parameter spaces and extensive training datasets,excel in solving complex visual problems.This study explores the potential of using one such LSM,Segment anything model(SAM),to identify facet-type discontinuities across several outcrops via interactive prompting.The findings demonstrate that SAM effectively segments two-dimensional(2D)discontinuities,with its generalization capability validated on a dataset of 2426 identified discontinuities across 170 outcrops.The model achieves 0.78 mean IoU and 0.86 average precision using 11-point prompts.To extend to three dimensions(3D),a framework integrating SAM with Structure-from-Motion(SfM)was proposed.By utilizing the inherent but often overlooked relationship between image pixels and point clouds in SfM,the identification process was simplified and generalized across photogrammetric devices.Benchmark studies showed that the framework achieved 0.91 average precision,identifying 87 discontinuities in Dataset-3D.The results confirm its high precision and efficiency,making it a valuable tool for data annotation.The proposed method offers a practical solution for geological investigations. 展开更多
关键词 Rock mass DISCONTINUITY Digital outcrop model(DOM) Point clouds Large-scale model(LSM) Foundation model(FM)
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Dynamic modeling of minimum mass of pore-gas for triggering landslide in stable gentle soil slope
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作者 Xingyu Kang Zhongqi Quentin Yue 《Journal of Rock Mechanics and Geotechnical Engineering》 2025年第2期652-670,共19页
This paper presents a dynamic modeling method to test and examine the minimum mass of pressurized pore-gas for triggering landslides in stable gentle soil slopes.A stable gentle soil slope model is constructed with a ... This paper presents a dynamic modeling method to test and examine the minimum mass of pressurized pore-gas for triggering landslides in stable gentle soil slopes.A stable gentle soil slope model is constructed with a dry cement powder core,a saturated clay middle layer,and a dry sand upper layer.The test injects H_(2)O_(2)solution into the cement core to produce new pore-gas.The model test includes three identical H_(2)O_(2)injections.The small mass of generated oxygen gas(0.07%of slope soil mass and landslide body)from the first injection can build sufficient pore-gas pressure to cause soil upheaval and slide.Meanwhile,despite the first injection causing leak paths in the clay layer,the generated small mass of gas from the second and third injections can further trigger the landslide.A dynamic theoretical analysis of the slope failure is carried out and the required minimum pore-gas pressure for the landslide is calculated.The mass and pressure of generated gas in the model test are also estimated based on the calibration test for oxygen generation from H_(2)O_(2)solution in cement powder.The results indicate that the minimum mass of the generated gas for triggering the landslide is 2 ppm to 0.07%of the landslide body.Furthermore,the small mass of gas can provide sufficient pressure to cause soil upheaval and soil sliding in dynamic analysis. 展开更多
关键词 LANDSLIDE Gentle soil slope Physical model test Minimum pore-gas mass Soil upheaval Dynamic modeling
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Hybrid model of multimodal based on data enhancement and lumped reaction kinetics: Applying to industrial ebullated-bed residue hydrogenation unit
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作者 Jian Long Mengru Zhang +2 位作者 Anlan Li Cheng Huang Dong Xue 《Chinese Journal of Chemical Engineering》 2025年第2期284-302,共19页
Industrial ebullated-bed is an important device for promoting the cleaning and upgrading of oil products. The lumped kinetic model is a powerful tool for predicting the product yield of the ebullated-bed residue hydro... Industrial ebullated-bed is an important device for promoting the cleaning and upgrading of oil products. The lumped kinetic model is a powerful tool for predicting the product yield of the ebullated-bed residue hydrogenation (EBRH) unit, However, during the long-term operation of the device, there are phenomena such as low frequency of material property analysis leading to limited operating data and diverse operating modes at the same time scale, which poses a huge challenge to building an accurate product yield prediction model. To address these challenges, a data augmentation-based eleven lumped reaction kinetics mechanism model was constructed. This model combines generative adversarial networks, outlier elimination, and L2 norm data filtering to expand the dataset and utilizes kernel principal component analysis-fuzzy C-means for operating condition partitioning. Based on the hydrogenation reaction mechanism, a single and sub operating condition eleven lumped reaction kinetics model of an ebullated-bed residue hydrogenation unit, comprising 55 reaction paths and 110 parameters, was constructed before and after data augmentation. Compared to the single model before data enhancement, the average absolute error of the sub-models under data enhancement division was reduced by 23%. Thus, these findings can help guide the operation and optimization of the production process. 展开更多
关键词 Mixed modeling Generative adversarial network Lumped kinetic model Multi-modal learning Ebullated-bed residue hydrogenation
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Date palm kernel-based GAC and its dynamic modeling of residual chlorine breakthrough curve in multimedia filter 被引量:1
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作者 Rusul Naseer Mohammed 吕锡武 Saad Abualhail 《Journal of Southeast University(English Edition)》 EI CAS 2012年第2期169-174,共6页
First, the date palm kernel is used to produce granular activated carbon (GAC) by a physiochemical activation process. The process involves six steps: washing, drying, crushing, sieving, carbonization, and activati... First, the date palm kernel is used to produce granular activated carbon (GAC) by a physiochemical activation process. The process involves six steps: washing, drying, crushing, sieving, carbonization, and activation. Secondly, the ability of the produced GAC to remove pollutants is examined through batch experiments of residual chlorine adsorption whereas the equilibrium isotherm experimental data are tested for the Langmuir and Freundlich isotherms equations. Thirdly, the experimental and theoretical study of dynamic adsorption process and the effect of major operating parameters on dynamic adsorption are investigated. The results show that the Langmuir isotherm gives the best fitting to experimental data, which indicates that the residual chlorine adsorption can be characterized by mono layer adsorption behavior. The produced GAC has a great potential as an adsorbent for residual chlorine in water systems and it can compete favorably with the conventional adsorbents. The Thomas extended model with combined mass transfer resistances is used for verifying the experimental results and the results show that the proposed model coincides well with the experimental data of the dynamic adsorption process. 展开更多
关键词 residual chlorine adsorption granuler activated carbon (GAC) model isotherm multimedia filter date palm kernel
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Catalyst deactivation model involving autocatalytic effect for the residue hydrotreating process
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作者 Zhong-Huo Deng Rong Shi +5 位作者 Liang Ren Xin-Peng Nie Qiang Fang Zhen Wang Wei Han Li-Shun Dai 《Petroleum Science》 2025年第8期3447-3460,共14页
Autocatalysis from the by-product metal sulfides plays a critical role in the residual oil hydrotreating(RHT)process.However,it has not been considered to build the catalyst deactivation models,which probably is one i... Autocatalysis from the by-product metal sulfides plays a critical role in the residual oil hydrotreating(RHT)process.However,it has not been considered to build the catalyst deactivation models,which probably is one important reason that the widely used S-type deactivation models are inaccurate in predicting some RHT processes'deactivation profiles.A three-stage catalyst deactivation model was first developed to fill this gap based on the mechanism inferred from the experimental and literature data.This model accounts for active site formation from by-product metal sulfides,deactivation due to active site coverage by coke formation and metal deposition,active site poisoning by highly-adsorbed species,active phase sintering,and diffusion resistance from the pore blockage at the same time,resulting in a function of dimensionless metals-on-catalyst.Then,the effectiveness of the proposed model was evaluated using the industrial data of an RHT unit and the experimental data from the literature,either in combination with reaction kinetics or independently.Results showed that RHT processes with clear autocatalytic effects may display different types of deactivation profiles from the traditional"S"shape.However,the proposed model was able to accurately track the entire deactivation curve of the RHT process and well predict the product properties.This approach yields valuable insights into the intricate autocatalytic effect that remarkably contributes to the performance modification of RHT catalysts.It is highly recommended that further research should be conducted on this topic,as it shows great potential to significantly advance catalyst and process development. 展开更多
关键词 residual oil hydrotreating Catalyst deactivation Autocatalytic effect Deactivation model
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Achievements and Developments in Mass Models of Vocal Fold Vibrations
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作者 JI Mingjun LIU Boquan +2 位作者 LOU Zhewei LAN Jinwei FANG Jin 《Journal of Shanghai Jiaotong university(Science)》 2025年第3期600-611,共12页
The proposed mass model of vocal fold vibration holds a significant importance in the auxiliary diagnosis and treatment of human vocal fold disorders.Mathematical models are proposed in aerodynamics and acoustics to s... The proposed mass model of vocal fold vibration holds a significant importance in the auxiliary diagnosis and treatment of human vocal fold disorders.Mathematical models are proposed in aerodynamics and acoustics to simulate vocal fold vibration during phonation.This has always been a hot topic in pathological linguistics research.Over the past few decades,researchers have designed various types of mass models of vocal fold vibration based on experiments.These models differ in principles,computational complexity,and degrees of freedom.Therefore,we classify and describe the mass models according to modeling methods.We summarize the research status and characteristics of different models,and based on this,we look forward to future research directions for vocal fold mass models. 展开更多
关键词 vocal fold vibrations mass model vocal fold disorders aeroacoustics
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Simulation on Residual Stress of Shot Peening Based on a Symmetrical Cell Model 被引量:12
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作者 Cheng WANG Jiacheng HU +2 位作者 Zhenbiao GU Yangjian XU Xiaogui WANG 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2017年第2期344-351,共8页
The symmetrical cell model is widely used to study the residual stress induced by shot peening. However, the correlation between the predicted residual stresses and the shot peening coverage, which is a big challenge ... The symmetrical cell model is widely used to study the residual stress induced by shot peening. However, the correlation between the predicted residual stresses and the shot peening coverage, which is a big challenge for the researchers of the symmetrical cell model, is still not established. Based on the dynamic stresses and the residual stresses outputted from the symmetrical cell model, the residual stresses corresponding to full coverage are evalu- ated by normal distribution analysis. The predicted nodal dynamic stresses with respect to four corner points indicate that the equi-biaxial stress state exists only for the first shot impact. Along with the increase of shot number, the interactions of multiple shot impacts make the fluctuation of the nodal dynamic stresses about an almost identical value more and more obvious. The mean values and standard deviations of the residual stresses gradually tend to be stable with the increase of the number of shot peening series. The mean values at each corner point are almost the same after the third peening series, which means that an equi-biaxial stress state corresponding to the full coverage of shot peening is achieved. Therefore, the mean values of the nodal residual stresses with respect to a specific transverse cross-section below the peened surface can be used to correlate the measured data by X-ray. The predicted residual stress profile agrees with the experimental results very well under 200% peening coverage. An effective correlation method is proposed for the nodal residual stresses predicted by the symmetrical cell model and the shot peening coverage. 展开更多
关键词 residual stress Symmetrical cell model Equi·biaxial stress state Shot peening coverage Dynamic stress
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An equivalent thermal conductivity model of tunnel surrounding rock mass with fractures based on the series-parallel theory
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作者 Chenglin Li Yiping Liu +1 位作者 Guozhu Zhang Zhongtao Wang 《Journal of Rock Mechanics and Geotechnical Engineering》 2025年第9期5695-5708,共14页
To evaluate the thermal behavior of tunnels,an equivalent thermal conductivity(ETC)model for the fractured rock masses surrounding tunnels was proposed,based on the series-parallel theory,which incorporates the heat t... To evaluate the thermal behavior of tunnels,an equivalent thermal conductivity(ETC)model for the fractured rock masses surrounding tunnels was proposed,based on the series-parallel theory,which incorporates the heat transfer characteristics of the surrounding rock.A thermal probe test(TPT)was subsequently conducted at the Dajian Mountain Tunnel(China),and the heat transfer model of the thermal probe was developed and calibrated based on the TPT results.The ETCs of different test areas in the borehole were calculated based on the fracture parameters(dip direction,dip angle,opening,trace length),obtained via a digital borehole photography test.Finally,the new ETC model,the volumeaveraged model,and the non-fracture model were compared for accuracy in heat transfer calculation.The results demonstrate that(1)the error of heat transfer calculation error was reduced by 17.2%e69.2%using the new ETC model.(2)For the ETCs of different thermal response test areas,the minimum and maximum values were 2.15 W/(m K)and 3.7 W/(m K),respectively,with the fracture effect causing up to a 41.2%reduction in thermal conductivity.(3)For the ETC of the borehole,the ETC value was 2.53 W/(m K),with the fracture effect leading to a 31.6%reduction in thermal conductivity.The effect of fractures on the thermal conductivity of rock mass could not be ignored.This ETC model addresses the challenge of determining the ETC for the heterogeneous surrounding rock of tunnels and provides a more accurate representation of the in situ thermal behavior of tunnels. 展开更多
关键词 TUNNEL Fractured rock mass In situ test Thermal conductivity model
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Thermal damage constitutive model for rock considering damage threshold and residual strength 被引量:33
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作者 XU Xiao-li KARAKUS Murat +1 位作者 GAO Feng ZHANG Zhi-zhen 《Journal of Central South University》 SCIE EI CAS CSCD 2018年第10期2523-2536,共14页
With the gradual depletion of mineral resources in the shallow part of the earth,resource exploitation continues to move deeper into the earth,it becomes a hot topic to simulate the whole process of rock strain soften... With the gradual depletion of mineral resources in the shallow part of the earth,resource exploitation continues to move deeper into the earth,it becomes a hot topic to simulate the whole process of rock strain softening,deformation and failure in deep environment,especially under high temperature and high pressure.On the basis of Lemaitre’s strain-equivalent principle,combined with statistics and damage theory,a statistical constitutive model of rock thermal damage under triaxial compression condition is established.At the same time,taking into account the existing damage model is difficult to reflect residual strength after rock failure,the residual strength is considered in this paper by introducing correction factor of damage variable,the model rationality is also verified by experiments.Analysis of results indicates that the damage evolution curve reflects the whole process of rock micro-cracks enclosure,initiation,expansion,penetration,and the formation of macro-cracks under coupled effect of temperature and confining pressure.Rock thermal damage shows logistic growth function with the increase of temperature.Under the same strain condition,rock total damage decreases with the rise of confining pressure.By studying the electron microscope images(SEM)of rock fracture,it is inferred that 35.40 MPa is the critical confining pressure of brittle to plastic transition for this granite.The model parameter F reflects the average strength of rock,and M reflects the morphological characteristics of rock stress–strain curves.The physical meanings of model parameters are clear and the model is suitable for complex stress states,which provides valuable references for the study of rock deformation and stability in deep engineering. 展开更多
关键词 rock damage model temperature effect confining pressure damage threshold residual strength
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Study of the nuclear mass model by sequential least squares programming
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作者 Hang Yang Cun-Yu Chen +2 位作者 Xiao-Yu Xu Han-Kui Wang You-Bao Wang 《Nuclear Science and Techniques》 2025年第7期204-212,共9页
Nuclear mass is an important property in both nuclear and astrophysics.In this study,we explore an improved mass model that incorporates a higher-order term of symmetry energy using algorithms.The sequential least squ... Nuclear mass is an important property in both nuclear and astrophysics.In this study,we explore an improved mass model that incorporates a higher-order term of symmetry energy using algorithms.The sequential least squares programming(SLSQP)algorithm augments the precision of this multinomial mass model by reducing the error from 1.863 MeV to 1.631 MeV.These algorithms were further examined using 200 sample mass formulae derived from theδE term of the E_(isospin) mass model.The SLSQP method exhibited superior performance compared to the other algorithms in terms of errors and convergence speed.This algorithm is advantageous for handling large-scale multiparameter optimization tasks in nuclear physics. 展开更多
关键词 Nuclear mass model Binding energy Magic nuclei Sequential least squares algorithm
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Evaluating the affecting factors of glacier mass balance in Tanggula Mountains using explainable machine learning and the open global glacier model
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作者 XU Qiangqiang KANG Shichang +1 位作者 HE Xiaobo XU Min 《Journal of Mountain Science》 2025年第2期466-488,共23页
Glacier mass balance is a key indicator of glacier health and climate change sensitivity.Influencing factors include both climatic and nonclimatic elements,forming a complex set of drivers.There is a lack of quantitat... Glacier mass balance is a key indicator of glacier health and climate change sensitivity.Influencing factors include both climatic and nonclimatic elements,forming a complex set of drivers.There is a lack of quantitative analysis of these composite factors,particularly in climate-typical regions like the Tanggula Mountains on the central Tibetan Plateau.We collected data on various factors affecting glacier mass balance from 2000 to 2020,including climate variables,topographic variables,geometric parameters,and glacier dynamics.We utilized linear regression models,ensemble learning models,and Open Global Glacier Model(OGGM)to analyze glacier mass balance changes in the Tanggula Mountains.Results indicate that linear models explain 58%of the variance in glacier mass balance,with seasonal temperature and precipitation having significant impacts.Our findings show that ensemble learning models made the explanations 5.2%more accurate by including the impact of topographic and geometric factors such as the average glacier height,the slope of the glacier tongue,the speed of the ice flow,and the area of the glacier.Interpretable machine learning identified the spatial distribution of positive and negative impacts of these characteristics and the interaction between glacier topography and ice dynamics.Finally,we predicted the responses of glaciers of different sizes to future climate change based on the results of interpretable machine learning.It was found that relatively large glaciers(>1 km~2)are likely to persist until the end of this century under low emission scenarios,whereas small glaciers(<1 km~2)are expected to nearly disappear by 2080 under any emission scenario.Our research provides technical support for improving glacier change modeling and protection on the Tibetan Plateau. 展开更多
关键词 Glacier mass balance Tanggula Mountains Explainable Machine Learning Open Global Glacier model Climate change
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A model study on seasonal spatial-temporal variability of the Lagrangian Residual Circulations in the Bohai Sea 被引量:8
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作者 LI Guosheng WANG Hailong LI Bailiang 《Journal of Geographical Sciences》 SCIE CSCD 2005年第3期273-285,共13页
The spatial distribution and seasonal variation of the tide-induced Lagrangian Residual Circulations (LRC hereafter), wind-driven LRC, and the coupling dynamic characteristics were simulated using ECOM, given the He... The spatial distribution and seasonal variation of the tide-induced Lagrangian Residual Circulations (LRC hereafter), wind-driven LRC, and the coupling dynamic characteristics were simulated using ECOM, given the Hellerman and Rosenstein global monthly-mean wind stresses. The results showed that the tide-induced LRC of the harmonic constituent M2 bears an identical pattern in four seasons in the Bohai Sea: the surface one is weak with random directions; however, there exist a southeast current from the Bohai Strait to the Laizhou bay, and a weakly anticlockwise gyre in the south of the Bohai Strait for the bottom layer LRC. The magnitude of bottom layer tide-induced LRC is larger than the surface one, and moreover, it contributes significantly to the whole LRC in the Bohai Sea. Unlike the identical structure of the tide-induced LRC, the wind driven LRC varies seasonally under the prevailing monsoon. It forms a distinct gyre under the summer and winter monsoons in July and January respectively, but it seems weak and non-directional in April and September. 展开更多
关键词 Bohai Sea Lagrangian residual Circulation numerical model seasonal variations
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Research on the Impact of Health Education Nursing Based on the Transtheoretical Model of Behavior Change on Self-Efficacy in Osteoporosis Patients with Low Bone Mass
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作者 Fenglai Hu 《Journal of Clinical and Nursing Research》 2025年第11期395-401,共7页
Objective:To investigate the impact of health education nursing based on the Transtheoretical Model of Behavior Change on self-efficacy in osteoporosis patients with low bone mass.Methods:A total of 91 osteoporosis pa... Objective:To investigate the impact of health education nursing based on the Transtheoretical Model of Behavior Change on self-efficacy in osteoporosis patients with low bone mass.Methods:A total of 91 osteoporosis patients with low bone mass admitted to our hospital from June 2000 to the end of June 2023 were selected and randomly divided into an observation group and a control group using the envelope method,with 46 and 45 cases in each group,respectively.The control group received routine nursing care,while the observation group received health education nursing based on the Transtheoretical Model of Behavior Change.Bone mineral density(lumbar spine L1-L4,femoral neck),disease awareness(Osteoporosis Knowledge Test Questionnaire,OKT-Q),and self-efficacy(Adult Health Self-Management Skills Rating Scale,AHSMSRS)were compared between the two groups.Results:After the intervention,bone mineral density levels,disease awareness levels,and self-efficacy levels significantly increased in both groups,with the observation group showing greater improvements in all indicators compared to the control group(p<0.05).Conclusion:Interventions based on the Transtheoretical Model of Behavior Change effectively enhance patient self-efficacy and bone health by precisely matching behavioral stages,strengthening social support,and regulating neurobehavioral factors. 展开更多
关键词 Transtheoretical model of behavior change OSTEOPOROSIS Low bone mass population SELF-EFFICACY Health education nursing Bone mineral density
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Residual stress modeling of thin wall by laser cladding forming 被引量:5
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作者 Fang Jinxiang Dong Shiyun +4 位作者 Wang Yujiang Yan Shixing Zhang Zhihui Xu Binshi He Peng 《China Welding》 EI CAS 2017年第3期34-38,共5页
The residual stress generated in the laser cladding could lead to undesirable distortions or even crack formation. In order to better understand the evolution/yielding process of stress field,a 3 D finite-element ther... The residual stress generated in the laser cladding could lead to undesirable distortions or even crack formation. In order to better understand the evolution/yielding process of stress field,a 3 D finite-element thermo-mechanical model was established for the laser cladding formation of thin wall with the 17-4 PH powder on the FV520( B) steel. The temperature field was firstly analyzed,based on which the stress field and strain field of the laser cladding forming process were analyzed.In order to validate the prediction,the final residual stress field in the obtained thin wall was tested by X-ray diffraction in comparison with the predicted results. 展开更多
关键词 residual stress strain field THIN WALL laser CLADDING FINITE element modeling
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Mouse model of anti-RANKL discontinuation reveals reduced bone mass and quality through disruption of bone remodeling
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作者 Koji Ishikawa Soji Tani +8 位作者 Nobuhiro Sakai Yoshifumi Kudo Hideyo Horiuchi Hiromi Kimura-Suda Masamichi Takami Mayumi Tsuji Katsunori Inagaki Yuji Kiuchi Takako Negishi-Koga 《Bone Research》 2025年第4期1001-1014,共14页
The discontinuation of denosumab[antibody targeting receptor activator of nuclear factor kappa B ligand(RANKL)]therapy may increase the risk of multiple vertebral fractures;however,the underlying pathophysiology is la... The discontinuation of denosumab[antibody targeting receptor activator of nuclear factor kappa B ligand(RANKL)]therapy may increase the risk of multiple vertebral fractures;however,the underlying pathophysiology is largely unknown.In patients who underwent discontinuation after multiple injections of denosumab,the levels of tartrate-resistant acid phosphatase 5b increased compared to pretreatment levels,indicating a phenomenon known as“overshoot.”The rate of decrease in bone mineral density during the withdrawal period was higher than the rate of decrease associated with aging,suggesting that the physiological bone metabolism had broken down.Overshoot and significant bone loss were also observed in mice receiving continuous administration of anti-RANKL antibody after treatment was interrupted,resembling the original pathology.In mice long out of overshoot,bone resorption recovered,but osteoblast numbers and bone formation remained markedly reduced.The bone marrow exhibited a significant reduction in stem cell(SC)antigen 1-and platelet-derived growth factor receptor alpha-expressing osteoblast progenitors(PαS cells)and alkaline phosphatase-positive early osteoblasts.Just before the overshoot phase,the osteoclast precursor cell population expands and RANKL-bearing extracellular vesicles(EVs)became abundant in the serum,leading to robust osteoclastogenesis after cessation of anti-RANKL treatment.Thus,accelerated bone resorption due to the accumulation of RANKLbearing EVs and long-term suppression of bone formation uncoupled from bone resorption leads to the severe bone loss characteristic of denosumab discontinuation. 展开更多
关键词 vertebral fractureshoweverthe decrease bone mineral density bone mass tartrate resistant acid phosphatase b mouse model anti RANKL discontinuation bone remodeling bone quality
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MODEL SELECTION METHOD BASED ON MAXIMAL INFORMATION COEFFICIENT OF RESIDUALS 被引量:4
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作者 谭秋衡 蒋杭进 丁义明 《Acta Mathematica Scientia》 SCIE CSCD 2014年第2期579-592,共14页
The traditional model selection criterions try to make a balance between fitted error and model complexity. Assumptions on the distribution of the response or the noise, which may be misspecified, should be made befor... The traditional model selection criterions try to make a balance between fitted error and model complexity. Assumptions on the distribution of the response or the noise, which may be misspecified, should be made before using the traditional ones. In this ar- ticle, we give a new model selection criterion, based on the assumption that noise term in the model is independent with explanatory variables, of minimizing the association strength between regression residuals and the response, with fewer assumptions. Maximal Information Coe^cient (MIC), a recently proposed dependence measure, captures a wide range of associ- ations, and gives almost the same score to different type of relationships with equal noise, so MIC is used to measure the association strength. Furthermore, partial maximal information coefficient (PMIC) is introduced to capture the association between two variables removing a third controlling random variable. In addition, the definition of general partial relationship is given. 展开更多
关键词 model Selection residual maximal information coefficient partial maximalinformation coefficient
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Identical full-scale biogas-lift reactors(BLRs) with anaerobic granular sludge and residual activated sludge for brewery wastewater treatment and kinetic modeling 被引量:3
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作者 Fu Xu Zhenxing Huang +3 位作者 Hengfeng Miao Hongyan Ren Mingxing Zhao Wenquan Ruan 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2013年第10期2031-2040,共10页
Two identical full-scale biogas-lift reactors treating brewery wastewater were inoculated with different types of sludge to compare their operational conditions, sludge characteristics, and kinetic models at a mesophi... Two identical full-scale biogas-lift reactors treating brewery wastewater were inoculated with different types of sludge to compare their operational conditions, sludge characteristics, and kinetic models at a mesophilic temperature. One reactor (R1) started up with anaerobic granular sludge in 12 weeks and obtained a continuously average organic loading rate (OLR) of 7.4 kg chemical oxygen demand (COD)/(m3.day), COD removal efficiency of 80%, and effluent COD of 450 mg/L. The other reactor (R2) started up with residual activated sludge in 30 weeks and granulation accomplished when the reactor reached an average OLR of 8.3 kg COD/(m^3·day), COD removal efficiency of 90%, and effluent COD of 240 mg/L. Differences in sludge characteristics,biogas compositions, and biogas- lift processes may be accounted for the superior efficiency of the treatment performance of R2 over R1. Grau second-order and modified StoverKincannon models based on influent and effluent concentrations as well as hydraulic retention time were successfully used to develop kinetic parameters of the experimental data with high correlation coefficients (R2 〉 0.95), which further showed that R2 had higher treatment performance than R1. These results demonstrated that residual activated sludge could be used effectively instead of anaerobic granular sludge despite the need for a longer time. 展开更多
关键词 anaerobic granular sludge residual activated sludge biogas-lift reactor brewery wastewater kinetic modeling
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