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Effect of calibration data series length on performance and optimal parameters of hydrological model 认领 引用 被引量：3
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作者 Chuan-zhe LI Hao WANG +3 位作者 Jia LIU Deng-hua YAN Fu-liang YU Lu ZHANG 《Water Science and Engineering》 EI CAS 2010年第4期378-393,共16页
In order to assess the effects of calibration data series length on the performance and optimal parameter values of a hydrological model in ungauged or data-limited catchments （data are non-continuous and fragmental ... In order to assess the effects of calibration data series length on the performance and optimal parameter values of a hydrological model in ungauged or data-limited catchments （data are non-continuous and fragmental in some catchments）, we used non-continuous calibration periods for more independent streamflow data for SIMHYD （simple hydrology） model calibration. Nash-Sutcliffe efficiency and percentage water balance error were used as performance measures. The particle swarm optimization （PSO） method was used to calibrate the rainfall-runoff models. Different lengths of data series ranging from one year to ten years, randomly sampled, were used to study the impact of calibration data series length. Fifty-five relatively unimpaired catchments located all over Australia with daily precipitation, potential evapotranspiration, and streamflow data were tested to obtain more general conclusions. The results show that longer calibration data series do not necessarily result in better model performance. In general, eight years of data are sufficient to obtain steady estimates of model performance and parameters for the SIMHYD model. It is also shown that most humid catchments require fewer calibration data to obtain a good performance and stable parameter values. The model performs better in humid and semi-humid catchments than in arid catchments. Our results may have useful and interesting implications for the efficiency of using limited observation data for hydrological model calibration in different climates. 展开更多
关键词 calibration data series length model performance optimal parameter hydrological model data-limited catchment
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Optimal Parameter and Uncertainty Estimation of a Land Surface Model: Sensitivity to Parameter Ranges and Model Complexities 认领 引用 被引量：2
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作者 YoulongXIA Zong-LiangYANG +1 位作者 PaulL.STOFFA MrinalK.SEN 《Advances in Atmospheric Sciences》 SCIE CAS 2005年第1期142-157,共16页
Most previous land-surface model calibration studies have defined globalranges for their parameters to search for optimal parameter sets. Little work has been conducted tostudy the impacts of realistic versus global r... Most previous land-surface model calibration studies have defined globalranges for their parameters to search for optimal parameter sets. Little work has been conducted tostudy the impacts of realistic versus global ranges as well as model complexities on the calibrationand uncertainty estimates. The primary purpose of this paper is to investigate these impacts byemploying Bayesian Stochastic Inversion (BSI) to the Chameleon Surface Model (CHASM). The CHASM wasdesigned to explore the general aspects of land-surface energy balance representation within acommon modeling framework that can be run from a simple energy balance formulation to a complexmosaic type structure. The BSI is an uncertainty estimation technique based on Bayes theorem,importance sampling, and very fast simulated annealing. The model forcing data and surface flux datawere collected at seven sites representing a wide range of climate and vegetation conditions. Foreach site, four experiments were performed with simple and complex CHASM formulations as well asrealistic and global parameter ranges. Twenty eight experiments were conducted and 50 000 parametersets were used for each run. The results show that the use of global and realistic ranges givessimilar simulations for both modes for most sites, but the global ranges tend to produce someunreasonable optimal parameter values. Comparison of simple and complex modes shows that the simplemode has more parameters with unreasonable optimal values. Use of parameter ranges and modelcomplexities have significant impacts on frequency distribution of parameters, marginal posteriorprobability density functions, and estimates of uncertainty of simulated sensible and latent heatfluxes. Comparison between model complexity and parameter ranges shows that the former has moresignificant impacts on parameter and uncertainty estimations. 展开更多
关键词 optimal parameters uncertainty estimation CHASM model bayesian stochasticinversion parameter ranges model complexities
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Optimal parameterization of conic curves 认领 引用 被引量：3
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作者 JIANG Li HU Fanggang +1 位作者 WANG Yong LI Yurong 《Computer Aided Drafting,Design and Manufacturing》 2012年第4期46-49,共4页
Optimal parameterization of specified segment on the algebraic curves is a hot issue in CAGD and CG. Take the optimal approximation of arc-length parameterization as the criterion of optimal parameterization, and the ... Optimal parameterization of specified segment on the algebraic curves is a hot issue in CAGD and CG. Take the optimal approximation of arc-length parameterization as the criterion of optimal parameterization, and the optimal or close to optimal rational parameterization formula of any specified segment on the conic curves is obtained. The new method proposed in this paper has ad- vantage in quantity of calculation and has strong self-adaptability. Finally, a experimental comparison of the results obtained by this method and by the traditional parametric algorithm is conducted. 展开更多
关键词 optimal parameterization algebraic curve parametric curve arc-length parameterization
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Extended Application of the Conditional Nonlinear Optimal Parameter Perturbation Method in the Common Land Model 认领 引用 被引量：3
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作者 王波 霍振华 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2013年第4期1213-1223,共11页
An extension of the conditional nonlinear optimal parameter perturbation （CNOP-P） method is applied to the parameter optimization of the Common Land Model （CoLM） for the North China Plain with the differential evo... An extension of the conditional nonlinear optimal parameter perturbation （CNOP-P） method is applied to the parameter optimization of the Common Land Model （CoLM） for the North China Plain with the differential evolution （DE） method. Using National Meteorological Center （NMC） Reanalysis 6-hourly surface flux data and National Center for Environmental Prediction/Department of Energy （NCEP/DOE） Atmospheric Model Intercomparison Project II （AMIP-II） 6-hourly Reanalysis Gaussian Grid data, two experiments （I and II） were designed to investigate the impact of the percentages of sand and clay in the shallow soil in CoLM on its ability to simulate shallow soil moisture. A third experiment （III） was designed to study the shallow soil moisture and latent heat flux simultaneously. In all the three experiments, after the optimization stage, the percentages of sand and clay of the shallow soil were used to predict the shallow soil moisture in the following month. The results show that the optimal parameters can enable CoLM to better simulate shallow soil moisture, with the simulation results of CoLM after the double-parameter optimal ex- periment being better than the single-parameter optimal experiment in the optimization slot. Purthermore, the optimal parameters were able to significantly improve the prediction results of CoLM at the prediction stage. In addition, whether or not the atmospheric forcing and observational data are accurate can seriously affect the results of optimization, and the more accurate the data are, the more significant the results of optimization may be. 展开更多
关键词 CNOP-P parameter optimization CoLM shallow soil moisture
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An Improved Cyclostationary Feature Detection Based on the Selection of Optimal Parameter in Cognitive Radios 认领 引用
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作者 沈达 何迪 +1 位作者 李文化 林英沛 《Journal of Shanghai Jiaotong university(Science)》 EI 2012年第1期1-7,共7页
Spectrum sensing is an important part of cognitive radio systems to find spectrum hole for transmission which enables cognitive radio systems coexist with the authorized radio systems without harmful interference.In t... Spectrum sensing is an important part of cognitive radio systems to find spectrum hole for transmission which enables cognitive radio systems coexist with the authorized radio systems without harmful interference.In this paper,an improved cyclostationary feature detection method is proposed to reduce computational complexity without loss of good performance based on the optimal parameter selection strategy for choosing detection parameters of cyclic frequency and lag.Taking binary phase shift keying (BPSK) and quadrature phase shift keying (QPSK) signals as examples,the theoretical analyses are presented for choosing the optimal parameters.Simulation results are given to certify the correctness of the proposed parameter selection strategy and show the performance of the proposed method. 展开更多
关键词 cyclostationary feature detection cognitive radios optimal parameter
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A FUZZY CLOPE ALGORITHM AND ITS OPTIMAL PARAMETER CHOICE 认领 引用 被引量：1
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作者 Li Jie Gao Xinbo Jiao Licheng 《Journal of Electronics(China)》 2006年第3期384-388,共5页
Among the available clustering algorithms in data mining, the CLOPE algorithm attracts much more attention with its high speed and good performance. However, the proper choice of some parameters in the CLOPE algorithm... Among the available clustering algorithms in data mining, the CLOPE algorithm attracts much more attention with its high speed and good performance. However, the proper choice of some parameters in the CLOPE algorithm directly affects the validity of the clustering results, which is still an open issue. For this purpose, this paper proposes a fuzzy CLOPE algorithm, and presents a method for the optimal parameter choice by defining a modified partition fuzzy degree as a clustering validity function. The experimental results with real data set illustrate the effectiveness of the proposed fuzzy CLOPE algorithm and optimal parameter choice method based on the modified partition fuzzy degree. 展开更多
关键词 Data mining Cluster analysis Cluster validity Categorical attributes Optimal parameter choice
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Mathematical Analysis of Two Approaches for Optimal Parameter Estimates to Modeling Time Dependent Properties of Viscoelastic Materials 认领 引用
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作者 Irina Viktorova Sofya Alekseeva Muhammed Kose 《Applied Mathematics》 2022年第12期949-959,共11页
Mathematical models for phenomena in the physical sciences are typically parameter-dependent, and the estimation of parameters that optimally model the trends suggested by experimental observation depends on how model... Mathematical models for phenomena in the physical sciences are typically parameter-dependent, and the estimation of parameters that optimally model the trends suggested by experimental observation depends on how model-observation discrepancies are quantified. Commonly used parameter estimation techniques based on least-squares minimization of the model-observation discrepancies assume that the discrepancies are quantified with the L2-norm applied to a discrepancy function. While techniques based on such an assumption work well for many applications, other applications are better suited for least-squared minimization approaches that are based on other norm or inner-product induced topologies. Motivated by an application in the material sciences, the new alternative least-squares approach is defined and an insightful analytical comparison with a baseline least-squares approach is provided. 展开更多
关键词 Laplace Transform Viscoelastic Composite Norm Space Inner Product Space Least Squares Minimization Optimal Parameter Estimation
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A Gamma Analysis Approach to Determine Optimal Parameters for Monte Carlo Simulation of 6MV Varian Clinac iX Photon Beam 认领 引用
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作者 Roger Cai Xiang Soh Lloyd Kuan Rui Tan +4 位作者 Mark Sen Liang Goh Sitti Yani Freddy Haryanto Wen Siang Lew James Cheow Lei Lee 《Journal of Health Science》 2017年第1期36-43,共8页
Monte Carlo （MC） method is the gold standard dose calculation algorithm. Determination of the electron beam parameters for MC simulation is often estimated using trial and error methods. However, this can be tedious... Monte Carlo （MC） method is the gold standard dose calculation algorithm. Determination of the electron beam parameters for MC simulation is often estimated using trial and error methods. However, this can be tedious and time-consuming. This paper aims to validate MC simulated data using 1D gamma analysis for 6MV photon beam to obtain the optimal parameters. BEAMnrc codes were used to generate phase space files for conventional field sizes 10 × 10 cm^2, 6 × 6 cm^2, 4 × 4 cm^2 and small field sizes 2 ×2 cm^2, 1 ×1 cm^2, 0.5 ×0.5 cm^2. For conventional field sizes, simulations were benchmarked against Golden Beam Data （GBD）. Simulations for small fields were benchmarked against measurements obtained using EDGE Detector and PTW Diode SRS detector in a Sun Nuclear 3D scanner. Dose profiles in water were calculated using DOSXYZnrc codes. Initial reference parameters were approximated using average percentage dose differences of different mean electron energy and electron beam radial distribution （Full Width at Half Maximum, FWHM）. Subsequently, the optimal parameters were validated by 1D gamma analysis using varying gamma criteria from γ3%%/0.3mm to γ2.0%/2.0mm for depth dose and lateral dose profiles. Comparisons were performed along the central region at depth dose 1.6 cm . Optimal parameters were found to be unique for small field sizes. As field size decreases, smaller FWHM were required to match measured data. By using 95% passing rate, a generic set of optimal electron beam parameters in a MC model for all field sizes could be accurately determined. Our findings provide MC users a set of optimal parameters with sufficient accuracy for MC simulation work. 展开更多
关键词 Monte Carlo ID gamma analysis optimal parameters small fields.
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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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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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Laser-assisted full-size PDC bit:Drilling performance and parameter optimization 认领 引用
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作者 Bin Liu Bin Xu +3 位作者 Biao Li Bo Zhang Xinjie Huang Tongyuan Liu 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第2期971-985,共15页
Laser-assisted drilling combined with full-size polycrystalline diamond compact(PDC)bit is considered a feasible solution to enhance the drilling performance of engineering machinery.In this method,determining the opt... Laser-assisted drilling combined with full-size polycrystalline diamond compact(PDC)bit is considered a feasible solution to enhance the drilling performance of engineering machinery.In this method,determining the optimal collaborative control parameters that support rapid drilling is crucial for improving the combined performance.This study used average drilling speed,average torque,and total specificenergy for quantitative analysis to characterize the efficiencyand economy of combined rock breaking.Given the advantage of the response surface methodology in providing high-precision predictions with limited experimental data,regression models of the average drilling speed,average torque,and total specificenergy were established.The results showed that as the laser power and irradiation time increased,the average drilling speed firstincreased rapidly and then leveled off,while the average torque decreased sharply before decelerating.The total specificenergy initially decreased and then increased,with the combined drilling outperforming conventional mechanical drilling within specific parameter ranges.As the weight on bit increased,both the average torque and total specificenergy first decreased and then increased.With rising rotating speed,the average torque exhibited a trend of initial increase,then decrease,and finalincrease,whereas the total specificenergy increased slowly at firstand then sharply.Both parameters exhibited optimal values at which the average torque and total specific energy remained at minimal levels.For granite combined drilling,the optimal performance was achieved at a laser power of 3000 W,irradiation time of 31 s,the weight on bit of 2.4 kN,and the rotating speed of 97 r/min. 展开更多
关键词 Laser rock breaking Polycrystalline diamond compact(PDC) cutter Combined rock breaking Response surface methodology Parameter optimization
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Motion Strategy and Control Parameters Optimization for an Underwater Glider Based on 3D Dubins Paths 认领 引用
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作者 HOU Dong-bo CAO Wei +1 位作者 WANG Wen-jun WANG Cong 《China Ocean Engineering》 SCIE EI CSCD 2026年第3期604-618,共15页
This research examines the optimization of motion strategy and control parameters for an Autonomous Underwater Glider(AUG)navigating between two points.For scenarios with specified initial position,target position,and... This research examines the optimization of motion strategy and control parameters for an Autonomous Underwater Glider(AUG)navigating between two points.For scenarios with specified initial position,target position,and heading,this study proposes a three-dimensional multimodal path planning methodology based on the 3D-Dubins path,ensuring both task fulfillment and motion feasibility within AUG dynamics constraints.The path planning approach incorporates ocean current interference and utilizes task objectives and control parameters as inputs.It systematically calculates information including horizontal Dubins type,vertical plane motion modes,and turning point depths to generate the path planning solution.The motion control strategy implements initial control parameter values and utilizes depth measurements as evaluation criteria.Through control parameter adjustments,the strategy facilitates tracking of the designated path.This control approach requires minimal feedback information,with computations executable by shore-based facilities,thereby reducing computational and measurement demands on the AUG and enhancing operational reliability.For specified task objectives,multi-objective optimization of control parameters is conducted using the proposed path planning method and motion control strategy,yielding optimized control parameters and corresponding motion control strategies for various operational requirements. 展开更多
关键词 underwater glider Dubins paths motion strategy parameters optimization energy consumption
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Geostress Evolution and Construction Parameter Optimization in Shale Gas Infill Well Development 认领 引用
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作者 Yongjun Xiao Yuduo Sun +5 位作者 Jian Zheng Xiaojin Zhou Wang Liu Cheng Shen Qi Deng Hao Zhao 《Energy Engineering》 EI 2026年第3期152-168,共17页
The shale gas development in China faces challenges such as complex reservoir conditions and high development costs.Based on the pore pressure and geostress coupling theory,this paper studies the geostress evolution l... The shale gas development in China faces challenges such as complex reservoir conditions and high development costs.Based on the pore pressure and geostress coupling theory,this paper studies the geostress evolution laws and fracture network characteristics of shale gas infill wells.A mechanism model of CN platform logging data and geomechanical parameters is established to simulate the influence of parent well’s production on the geostress in the infill well area.It is suggested that with the increase of production time,normal fault stress state and horizontal stress deflection will occur.The smaller the parent well spacing and the longer the production time,the earlier the normal fault stress state appears and the larger the range.Based on the model,the fracture network morphology and construction parameters of infill wells are optimized.parentparentparentparent The results indicate that:1:A well spacing of 500 m achieves a Pareto optimum between“full reserve coverage”and“stress barrier”;2:A parent well recovery degree of 30%corresponds to the critical point of stress reversal,where the lateral deflection rate of the infill fracture is less than 8%and the SRV loss is minimized;3:6-cluster intensive completion with twice the liquid intensity increases the fracture complexity index by 1.7 times,enhances well group EUR by 15.4%,and reduces single-well cost by 22%.This research fills the theoretical gap in the collaborative optimization of“multi-parameter,multi-objective and multi-constraint”and provide parameter optimization basis for shale gas infill well development in China and help to improve the development efficiency and economic benefits. 展开更多
关键词 Shale gas horizontal well geostress evolution infill well development numerical simulation construction parameter optimization
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Optimization Study on Operating Parameters of Rotary Gas-Gas Heat Exchanger in Low-and Medium-Temperature Denitrification System for Cement Kiln Flue Gas 认领 引用
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作者 Kaiwen Cheng Yi Sun +2 位作者 Dong Wang Chen Zhu Fuping Qian 《Frontiers in Heat and Mass Transfer》 EI CAS 2026年第3期141-157,共17页
Rotary gas-gas heat exchangers(GGHs)are pivotal for waste heat recovery in low-and mediumtemperature denitrification systems of cement kilns.This study examines the performance of GGHs within such systems by coupling ... Rotary gas-gas heat exchangers(GGHs)are pivotal for waste heat recovery in low-and mediumtemperature denitrification systems of cement kilns.This study examines the performance of GGHs within such systems by coupling computational fluid dynamics(CFD)with the response surface method(RSM),introducing overall system performance(OSP)as the principal optimization criterion.The investigation systematically elucidates the effects of treated flue gas inlet temperature,inlet velocity,and rotor speed on GGH efficiency.Findings reveal that OSP increases with rotor speed but reaches a plateau beyond 1 rpm;it decreases with higher inlet velocity and increases with higher inlet temperature.Response surface analysis identifies treated flue gas inlet temperature as the most influential parameter,highlighting a synergistic effect between rotor speed and inlet temperature,alongside an antagonistic interaction between inlet temperature and inlet velocity.To ensure safe system operation,engineering constraints were incorporated into the optimization framework using a Box-Behnken design.The optimal operational parameters were determined as a treated flue gas inlet temperature of 250℃,inlet velocity of 8 m/s,and rotor speed of 1 rpm,yielding a maximum OSP of 107.74.The integrated CFD-RSM methodology and constraint-aware optimization strategy presented in this study offer a practical reference for enhancing the operational efficiency of industrial waste heat recovery systems,particularly in cement kiln SCR applications. 展开更多
关键词 Waste heat recovery of cement kiln rotary gas-gas heat exchanger response surface method operating parameter optimization
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Parameter optimization and mechanism of magnetic biochar-enhanced microbial electrolysis cell coupling with anaerobic digestion (MEC-AD) for treatment of landfill leachate 认领 引用
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作者 Wenqi Li Jiachen Zhu +4 位作者 Xin Yin Hanbo Chen He Liu Minhua Cui Chongjun Chen 《ENGINEERING Environment》 SCIE EI CAS CSCD 2026年第1期63-80,共18页
Landfill leachate has a highly complex composition containing hazardous substances and refractory organic compounds, which makes its treatment challenging. In this study, a microbial electrolysis cell coupled anaerobi... Landfill leachate has a highly complex composition containing hazardous substances and refractory organic compounds, which makes its treatment challenging. In this study, a microbial electrolysis cell coupled anaerobic digestion (MEC-AD) system was constructed and integrated with magnetic biochar (MBC). The critical parameters (i.e., applied voltage, anode-to-cathode area ratio, and cathode mesh size) were systematically optimized through orthogonal experiments to investigate their impacts on chemical oxygen demand (COD), organic transformation pathways, and microbial community succession in the system. The results demonstrated a maximum COD removal efficiency of 59.7%. The optimal combination of parameters included an applied voltage of 1.2 V, an anode-to-cathode area ratio of 1:0.5, and a cathode mesh size of 200 mesh. Furthermore, spectral analysis revealed significant degradation of aromatic compounds with conjugated double bonds and humic acid-like substances, which indicated that electrochemical stimulation effectively facilitated molecular chain cleavage and enhanced microbial metabolism. Long-chain amides (such as 13-Docosenamide, (Z)-) were hydrolyzed into fatty acids and further transformed into alkanes. On the other hand, aromatic pollutants like 2,4-Di-tert-butylphenol underwent progressive mineralization through hydroxylation and ring-opening reactions. Under applied voltage of 1 V, electroactive bacteria (i.e., Comamonas (22.3%) and Pseudomonas (8.1%)) in anode biofilms formed metabolic networks with fermentative bacteria (Soehngenia) and synergistically enhanced electron transfer and organic reduction with heterotrophic bacteria at the cathode. This research provides theoretical insights into optimized degradation mechanisms of MEC-AD systems and the practical feasibility of its application for landfill leachate treatment. 展开更多
关键词 Landfill leachate MEC-AD Microbial community Parameter optimization
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Vibration reduction of propulsion shaft system by optimized bearing parameters 认领 引用
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作者 LIU Jian-yu GENG Xiao-ming +2 位作者 LI Xin-bin LIU Jing XU Ya-jun 《Journal of Central South University》 SCIE EI CAS CSCD 2026年第6期2808-2828,共21页
The vibrations of the propulsion shaft systems have a critical impact on the performance and noise control of underwater vehicles.Bearings are essential for the system's dynamic performance as the support componen... The vibrations of the propulsion shaft systems have a critical impact on the performance and noise control of underwater vehicles.Bearings are essential for the system's dynamic performance as the support components.Existing studies have primarily focused on the impacts of the individual bearing parameters on system vibrations,while the effects of bearing designation,clearance,tolerance,and bearing arrangement on the multi-bearing propulsion shaft system dynamics remain unclear.There is a lack of optimized design for multi-bearing parameters in propulsion shaft systems.A comprehensive dynamic model of the multi-bearing propulsion shaft system is developed in this study,which includes key components such as support bearings and the propeller.The effects of different bearings at different positions and bearing parameters on key vibration indicators(such as acceleration and displacement)are revealed through dynamic simulations.Based on the simulation results,a vibration optimization model for a multi-bearing propulsion shaft system is proposed,which can select effective bearing parameters.The optimal bearing parameters of the propulsion shaft system can be obtained through the optimization model.The findings not only provide quantitative criteria for low-vibration design of underwater propulsion systems,but also provide a theoretical reference for modeling and vibration control of complex multi-support rotating machinery. 展开更多
关键词 vibration reduction propulsion shaft systems bearing parameter optimization dynamic modeling
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Study on the optimal test parameters for vibration compaction based on the control of physical-mechanical indicators 认领 引用
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作者 Zhongrui Chen Yanxi Xiong +3 位作者 Ronghui Yan Zhibo Cheng Taifeng Li Hongfu Tan 《Railway Sciences》 2025年第3期388-409,共22页
Purpose-The indoor vibration compaction test(IVCT)was a key step in controlling the compaction quality for high-speed railway graded aggregate(HRGA),which currently had a research gap on the assessment indicators and ... Purpose-The indoor vibration compaction test(IVCT)was a key step in controlling the compaction quality for high-speed railway graded aggregate(HRGA),which currently had a research gap on the assessment indicators and compaction parameters.Design/methodology/approach-To address these issues,a novel multi-indicator IVCT method was proposed,including physical indicator dry density(ρd)and mechanical indicators dynamic stiffness(Krb)and bearing capacity coefficient(K20).Then,a series of IVCTs on HRGA under different compaction parameters were conducted with an improved vibration compactor,which could monitor the physical-mechanical indicators in real-time.Finally,the optimal vibration compaction parameters,including the moisture content(ω),the diameter-to-maximum particle size ratio(Rd),the thickness-to-maximum particle size ratio(Rh),the vibration frequency(f),the vibration mass(Mc)and the eccentric distance(re),were determined based on the evolution characteristics for the physical-mechanical indicators during compaction.Findings-All results indicated that theρd gradually increased and then stabilized,and the Krb initially increased and then decreased.Moreover,the inflection time of the Krb was present as the optimal compaction time(Tlp)during compaction.Additionally,optimal compaction was achieved whenωwas the water-holding content after mud pumping,Rd was 3.4,Rh was 3.5,f was the resonance frequency,and the ratio between the excitation force and the Mc was 1.8.Originality/value-The findings of this paper were significant for the quality control of HRGA compaction. 展开更多
关键词 High-speed railway subgrade Graded aggregates Vibratory compaction test Optimal vibration compaction parameters Physical-mechanical indicator
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Engineering Practice on Selection and Optimization of Operating Parameters for Low-Pollution MBR Membrane Modules 认领 引用
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作者 LI Hao 《外文科技期刊数据库（文摘版）自然科学》 2026年第2期006-010,共5页
Membrane bioreactor technology represents an efficient wastewater treatment method widely employed for treating municipal domestic sewage and industrial wastewater. However, membrane fouling remains the primary bottle... Membrane bioreactor technology represents an efficient wastewater treatment method widely employed for treating municipal domestic sewage and industrial wastewater. However, membrane fouling remains the primary bottleneck hindering long-term stable and cost-effective operation of MBR systems. The development and application of low-fouling membranes offer a novel approach to mitigate fouling and reduce operational energy consumption. This study investigates the impact of membrane materials and structures on fouling behavior across various membrane configurations, elucidates the mechanisms by which factors such as pore size, surface hydrophilicity, and structural design influence fouling trends, and establishes an optimization strategy for membrane configuration based on key parameters including flux rate, aeration intensity, filtration cycles, and chemical cleaning frequency. Results demonstrate that under constraints including influent quality characteristics, treatment scale, and operational costs, selecting appropriate low-fouling membrane components requires adopting a tiered selection strategy emphasizing "material prioritization, configuration alignment, and parameter iteration." By integrating subcritical flow operation, intermittent aeration control, and online maintenance cleaning, this study optimizes process parameters to achieve synergistic improvements in both fouling resistance and operational energy efficiency. The findings provide comprehensive technical references and operational guidance for MBR system design and operational management. 展开更多
关键词 Membrane bioreactor Low-pollution membrane module Parameter optimization Critical flux Membrane fouling control
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Optimal Microwave Radiation Field Parameters for Mercury Ion Microwave Frequency Standards 认领 引用 被引量：3
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作者 Zhi-Hui Yang Hao Liu +5 位作者 Yue- Hong He Man Wang Yong-Quan Wan Yi-He Chen Lei She Jiao-Mei Li 《Chinese Physics Letters》 SCIE EI CAS CSCD 2016年第6期21-24,共4页
We propose a method to determine the optimal power of the microwave resonance transition that simultaneously improves the signal-to-noise ratio and reduces line width based on saturation broadening theory and experime... We propose a method to determine the optimal power of the microwave resonance transition that simultaneously improves the signal-to-noise ratio and reduces line width based on saturation broadening theory and experiment. Saturation broadening spectra of the ground state hyperfine transition of trapped 199Hg＋ ions are measured and analyzed. The value of the optimal microwave power is obtained by using the proposed method and is verified. Rabi oscillations decay spectra of trapped 199Hg＋ ions are observed and the optimal microwave irradiation time for the maximum transition signal intensity is determined. This work will help to improve the short-term frequency stability of the mercury ion microwave frequency standard. 展开更多
关键词 of on it Optimal Microwave Radiation Field Parameters for Mercury Ion Microwave Frequency Standards dBm is for
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