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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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Optimal Rational Parameterization of Quadratic Curves Based on the Geographic Information of Both Ends 认领 引用
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作者 DUAN Yuan JIANG Li +1 位作者 LI Dan LI Yu-rong 《Computer Aided Drafting,Design and Manufacturing》 2014年第4期44-48,共5页
In this paper, we rewrote the equation of algebraic curve segmentswith the geometric informationonboth ends. The optimal or nearly optimal rationalparametric equation is determinedbythe principle that parametricspeeds... In this paper, we rewrote the equation of algebraic curve segmentswith the geometric informationonboth ends. The optimal or nearly optimal rationalparametric equation is determinedbythe principle that parametricspeedsat both endsareequal. Comparing withotherliteratures, the methodofthis paper has advantage in efficiency andiseasy to realize. The equation of optimal rational parameterization can be obtained directly by the information of both ends. Large numbers ofexperimental data show that our method hasbeen given withmore self-adaptability and accuracy than that ofotherliteratures, and if the parametricspeedat any end reaches its maximum or minimum value, the parameterization is optimal; otherwise itis close tooptimal rational parameterization. 展开更多
关键词 algebraic curve parametric curve optimal parameterization arc-length parameterization
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THE EFFECTIVENESS OF GENETIC ALGORITHM IN CAPTURING CONDITIONAL NONLINEAR OPTIMAL PERTURBATION WITH PARAMETERIZATION “ON-OFF” SWITCHES INCLUDED BY A MODEL 认领 引用 被引量：2
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作者 方昌銮 郑琴 《Journal of Tropical Meteorology》 SCIE 2009年第1期13-19,共7页
In the typhoon adaptive observation based on conditional nonlinear optimal perturbation (CNOP), the ‘on-off’ switch caused by moist physical parameterization in prediction models prevents the conventional adjoint me... In the typhoon adaptive observation based on conditional nonlinear optimal perturbation (CNOP), the ‘on-off’ switch caused by moist physical parameterization in prediction models prevents the conventional adjoint method from providing correct gradient during the optimization process. To address this problem, the capture of CNOP, when the "on-off" switches are included in models, is treated as non-smooth optimization in this study, and the genetic algorithm (GA) is introduced. After detailed algorithm procedures are formulated using an idealized model with parameterization "on-off" switches in the forcing term, the impacts of "on-off" switches on the capture of CNOP are analyzed, and three numerical experiments are conducted to check the effectiveness of GA in capturing CNOP and to analyze the impacts of different initial populations on the optimization result. The result shows that GA is competent for the capture of CNOP in the context of the idealized model with parameterization ‘on-off’ switches in this study. Finally, the advantages and disadvantages of GA in capturing CNOP are analyzed in detail. 展开更多
关键词 dynamic meteorology typhoon adaptive observation genetic algorithm conditional nonlinear optimal perturbation switches moist physical parameterization
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Optimal Lyapunov Function and Minimum Amplitude Control for Disturbed Linear Systems 认领 引用
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作者 Xiuchong Liu Zhanshan Wang 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2025年第11期2264-2274,共11页
It is a challenging issue to obtain the minimum amplitude control for linear systems subject to amplitudebounded disturbances.The difficulty is how to accurately give the quantitative relationship between the system H... It is a challenging issue to obtain the minimum amplitude control for linear systems subject to amplitudebounded disturbances.The difficulty is how to accurately give the quantitative relationship between the system H∞norm and control parameters.An optimal-Lyapunov-function-based controller design concept is proposed,and a minimum amplitude control scheme is presented under amplitude-bounded disturbances.Firstly,the optimal Lyapunov function is proposed by analyzing the geometric characteristics of the system H∞norm,and the necessary and sufficient condition of the optimal Lyapunov function parameter matrix is given.Secondly,the optimal Lyapunov function parameter matrix is constructed in the parameterized matrix equation,and the accurate quantitative relationship between the system H∞norm and control parameters is given.Finally,the control parameter optimization method is proposed according to the quantitative relationship between the system H∞norm and control parameters.Unlike robust optimization control methods,the presented minimum amplitude control scheme avoids the improper selection of the Lyapunov function in the controller design,and provides a novel way to design the minimum amplitude control under the given control accuracy.A buck converter example is given to illustrate the effectiveness and practicability of the presented scheme. 展开更多
关键词 Geometric analysis of H∞norm linear systems minimum amplitude control optimal Lyapunov function parameter optimization Riccati inequality
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Spatiotemporal patterns of meteorological-soil moisture drought propagation on the Qinghai-Xizang Plateau,China 认领 引用
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作者 WANG Zegen CHEN Mi +5 位作者 LIU Yaxin RAN Yaowen YONG Zhiwei HUANG Yaoxuan WANG Yingyang ZHAO Junxin 《Journal of Arid Land》 SCIE CAS CSCD 2026年第5期774-792,共19页
Drought is among the most destructive and recurrent natural disasters worldwide.In recent decades,the frequency of drought events has increased,exerting significant impacts on socioeconomic development.The propagation... Drought is among the most destructive and recurrent natural disasters worldwide.In recent decades,the frequency of drought events has increased,exerting significant impacts on socioeconomic development.The propagation of meteorological drought(MD)to soil moisture drought(SMD)is a common natural process;however,its dynamics across different seasons and vegetation types on the Qinghai-Xizang Plateau,as well as the underlying meteorological driving mechanisms,remain insufficiently understood.This study utilized precipitation and soil moisture data from the European Centre for Medium-Range Weather Forecasts(ECMWF)Reanalysis v5(ERA5)-Land reanalysis dataset for the period 1982–2022.The standardized precipitation index(SPI)and standardized soil moisture index(SSMI)were employed to characterize MD and SMD,respectively.By integrating run theory with an optimal parameter geographical detector(OPGD)model,this study systematically analyzed the average duration and propagation time of MD and SMD across the Qinghai-Xizang Plateau,and quantitatively evaluated the explanatory power of various meteorological and topographical factors influencing drought propagation.The results indicated that the mean duration of SMD across the Qinghai-Xizang Plateau from 1982 to 2022 was generally longer than that of MD.Significant seasonal differences in propagation time were observed,with the average propagation time ranked as winter(21 d)>spring(14 d)>autumn(10 d)>summer(8 d).Spatial variability of propagation time was more pronounced in spring and winter than in summer and autumn.Furthermore,the analysis of driving mechanisms revealed that drought propagation from MD to SMD on the Qinghai-Xizang Plateau was primarily influenced by precipitation(relative contribution proportion of 51.9%),followed by evaporation(15.1%)and snowmelt(13.6%),with the strongest interaction effects associated with precipitation.Although the dominant factors across different vegetation types were generally consistent with those for the entire plateau,solar radiation also showed a relatively high contribution(average 13.9%)across vegetation types.In summary,this study provides a scientific basis for improving drought early warning systems and optimizing water resource management strategies. 展开更多
关键词 meteorological drought soil moisture drought drought propagation time run theory optimal parameter geographical detector(OPGD)model standardized precipitation index(SPI) standardized soil moisture index(SSMI)
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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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Integrated topology optimization method for crashworthiness of metal-FRP hybrid thin-walled tubes:A review and analysis 认领 引用
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作者 Lele Zhang Yanzhao Guo +2 位作者 Zhizhong Cheng Weiyuan Dou Sebastian Stichel 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2026年第1期508-525,共18页
Based on the demands for crashworthiness and lightweight in the passive safety of transportation vehicles,metal-fiber reinforced polymer(FRP)hybrid thin-walled tubes(MFHTWTs)integrate the toughness,strength and lightw... Based on the demands for crashworthiness and lightweight in the passive safety of transportation vehicles,metal-fiber reinforced polymer(FRP)hybrid thin-walled tubes(MFHTWTs)integrate the toughness,strength and lightweight of two distinct material characteristics.MFHTWTs can achieve energy absorption through the coupling of material plastic deformation and fracture,demonstrating significant engineering value in passive safety.This review provides a comprehensive examination of the crashworthiness topology optimization of MFHTWTs,aiming to demonstrate that a deeply integrated approach combining topology and parameter opti-mization can realize an optimal design method for MFHTWTs,thereby maximizing the functional utilization of limited material.Firstly,the review highlights the crashworthiness topology optimization methods(CTOMs)based on thin-walled structures.With a particular focus on metal,the review discusses both the practical ap-plicability and limitations of CTOMs under crash conditions.Additionally,based on the methodology of the equivalent static load method(ESLM),the review emphasizes that topology optimization methods considering continuous fiber paths and multi-material interface connections are also applicable to the crashworthiness op-timization of MFHTWTs.Furthermore,to couple structural parameters and configuration characteristics,in-tegrated topology optimization methods,including parameter optimization,are proposed to provide a valuable reference for the global optimization of MFHTWTs.Thus,these methods can establish the mapping relationship between key parameters and the structural energy absorption capacity. 展开更多
关键词 Metal-FRP hybrid thin-walled tube Topology optimization Parameter optimization Crashworthiness Integrated optimization scheme
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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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Effect of CO2pre-injection on fracture propagation morphology in shale reservoirs under CO2hybrid fracturing 认领 引用
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作者 Yu-Xi Zang Feng-Xia Li +5 位作者 Hai-Zhu Wang Zhi-Wen Huang Tong Zhou Jia Cui Ning Li Shou-Ceng Tian 《Petroleum Science》 SCIE EI CAS CSCD 2026年第5期2698-2712,共15页
Supercritical CO2fracturing,as a waterless fracturing technology,is attracting increasing attention in the shale oil reservoir development industry.In recent years,a novel CO2hybrid fracturing method has been pr... Supercritical CO2fracturing,as a waterless fracturing technology,is attracting increasing attention in the shale oil reservoir development industry.In recent years,a novel CO2hybrid fracturing method has been proposed to integrate the advantages of both CO2fracturing and hydraulic fracturing.However,the specific effects of different pre-injection CO2conditions on the physicalproperties,mechanical characteristics,and crack propagation behavior of shale reservoirs remain unclear.This study utilized Chang-7shale samples from the Ordos Basin and conducted CO2hybrid fracturing experiments under simulated high-temperature and high-pressure reservoir conditions,employing a self-developed experimental apparatus.Quantitative analysis of fracture propagation patterns under the influence of CO2preinjection was performed based on CT scanning results.Thefindings reveal that:(1)Among different fracturing fluid systems,conventional hydraulic fracturing exhibits the highest breakdown pressure,pure CO2fracturing is intermediate,while CO2hybrid fracturing significantly reduces the breakdown pressure by 36.2%compared to hydraulic fracturing.(2)Employing CO2hybrid fracturing not only effectively increases fracture dimensions(length,width)butalso substantially enhances fracture network complexity.(3)The CO2pre-injection soaking time significantly influences fracture morphology,with both fracture dimensions and structural complexity showing marked increases as soaking time extends.(4)Increasing formation pore pressure promotes the activation of bedding planes with relatively weaker mechanical strength,leading to significant enhancements in fracture length and complexity,but simultaneously restricts the widening of fracture apertures.The outcomes of this research provide a theoretical foundation for optimizing the design of operational parameters in CO2hybrid fracturing for shale oil reservoirs. 展开更多
关键词 CO2hybrid fracturing Fracture propagation Fracture morphology Parameter optimization
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Study on structure optimization of a load port-independent double-spool electro-hydraulic valve 认领 引用
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作者 Junxiang Chen Fanyu Qi +1 位作者 Xiangdong Kong Chao Ai 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2026年第3期401-416,共16页
To improve the dynamic characteristics of an electro-hydraulic valve system with an independent double-valve core at the load port,this study derives the system state space equation of the main stage closed-loop syste... To improve the dynamic characteristics of an electro-hydraulic valve system with an independent double-valve core at the load port,this study derives the system state space equation of the main stage closed-loop system,including the structural characteristics of a pressure-reducing valve,a relief valve,a system pipeline,and a cavity based on the power bond diagram theory.The influence of the listed structural parameters on the dynamic characteristics of the main valve's position is analyzed by the first-order sensitivity method.Since the pilot stage structural parameters of a feedback control system are crucial to the main valve's motion characteristics,the influence of a different pilot valve's port structural characteristics on the electro-hydraulic valve system's characteristics is also studied.The matching performance,linearity,and control sensitivity are used as opti-mization objectives,the no-self-excited oscillation is set as a constraint condition,and a pilot valve's structural parameters are self-optimized.The representative structural parameters are used for sensitivity analysis and test verification.Based on the PIV test,similar tests are conducted for different pilot valve port forms,and the pilot valve's port structural parameters are tested both before and after parameter optimization.The theoretical and experimental results show that the factors that have a significant influence on the main valve's fretting char-acteristics include the closed-loop proportional gain,the main valve core friction,the spring preload force,and the liquid capacity of the non-spring control chamber.When the pilot valve's port is U-shaped,the linearity of the flow gain,control sensitivity,and the fretting characteristics of the main valve are significantly improved. 展开更多
关键词 Power bonding graph First-order sensitivity analysis Particle swarm algorithm Structural parameter optimization
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Aperiodic walking control of a biped robot perturbed by continuous strong external forces 认领 引用
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作者 Zijing Li Weidi Huang +4 位作者 Hua Lei Chunbiao Gan Wanchao Chi Shenghao Zhang Yuzhen Liu 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第4期69-84,共16页
When robots walk on rough terrain or are subjected to continuous strong external disturbances,traditional methods do not have the flexibility to adjust bipedal walking gaits in a timely manner,often resulting in walki... When robots walk on rough terrain or are subjected to continuous strong external disturbances,traditional methods do not have the flexibility to adjust bipedal walking gaits in a timely manner,often resulting in walking instability.In response to this issue,an angular momentum linear inverted pendulum model and a multi-link dynamic model were established,respectively,for the biped robot Rabbit walking on an inclined terrain and disturbed by external forces at its center of mass.A controllable domain for the biped robot was defined by choosing the single-step average speed as the controllable target,from which the influence of variations of single-step duration and length was briefly analyzed.Based on the single-step duration optimization model combined with the traditional single-step length optimization scheme,a dual parameter optimization algorithm was developed.Subsequently,by designing a hierarchical control strategy based on the optimized gait parameters and joint trajectory tracking,an adaptive aperiodic gait of the biped robot was ultimately achieved.The simulation results of Rabbit walking on flat and inclined terrains under four different continuous strong external forces show that using the traditional single-step optimization scheme will lead to walking instability within a very limited time.However,a hierarchical anti-disturbance control strategy based on dual parameter optimization in the centroid layer and trajectory tracking in the joint layer can enable Rabbit to continue walking without falling for a longer time.In addition,the dual parameter optimization method can not only expand the controllable domain,but also effectively adjust the average speed of each step of Rabbit,making it change as much as possible within a safe and controllable range,and generating a more flexible and natural aperiodic gait. 展开更多
关键词 Biped robot Continuous strong external force Controllable domain Dual gait parameter optimization Hierarchical anti-disturbance control strategy
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Time-Reassigned Multisynchrosqueezing Generalized S Transform and Its Application in Frequency Decomposition Coherence 认领 引用
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作者 ZHANG Huixing WU Xuefeng HE Bingshou 《Journal of Ocean University of China》 SCIE CAS CSCD 2026年第3期919-934,共16页
Seismic attributes extracted from full frequency seismic data always show weak lateral continuity and unclear distribution when used for identifying faults.Frequency decomposition technology can improve the accuracy o... Seismic attributes extracted from full frequency seismic data always show weak lateral continuity and unclear distribution when used for identifying faults.Frequency decomposition technology can improve the accuracy of characterizing faults,while the accuracy depends on the time-frequency analysis(TFA)algorithms used.As a widely used TFA method,the generalized S-transform(GST)has the ability to perform multi-resolution analysis,although it still suffers from a problem of insufficient resolution.The time-reassigned synchrosqueezing theory has effectively addressed this problem.Based on this theory,we propose a new time-reassigned synchrosqueezing transform through deriving the group delay operator(GDO)of the GST.In order to achieve the best resolution,we use a parameter matching method to determine the optimal window parameters when calculating the GST spectrum.By performing multiple synchrosqueezing calculations on the obtained spectrum,we finally obtain the time-reassigned multisynchrosqueezing generalized S transform(TMGST).Synthetic signal tests show that TMGST not only exhibits significantly higher resolution than commonly used TFA methods,but also has high flexibility.We use TMGST to extract the frequency decomposition coherence attributes from the Kerry 3D seismic dataset,a publicly available marine seismic survey from New Zealand’s Taranaki Basin,for fault identification.The results show that the coherence anomalies at the fault locations are significantly enhanced and the faults are more clearly characterized by the proposed method in this paper. 展开更多
关键词 time-reassigned multisynchrosqueezing S transform parameter optimization frequency decomposition coherence fault identification
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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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A collaborative optimization design method of platform location and well trajectory for a complex-structure well factory 认领 引用
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作者 WANG Ge GAO Deli HUANG Wenjun 《Petroleum Exploration and Development》 SCIE 2026年第1期261-271,共11页
Using platform-target matching deviation,anti-collision difficulty,trajectory complexity,and total drilling footage as objective functions,and comprehensively considering constraints such as platform layout area,drill... Using platform-target matching deviation,anti-collision difficulty,trajectory complexity,and total drilling footage as objective functions,and comprehensively considering constraints such as platform layout area,drilling extension limits,underground target distribution and trajectory collision risks,a model of platform location-wellbore trajectory collaborative optimization for a complex-structure well factory is developed.A hybrid heuristic algorithm is proposed by combining an improved sparrow search algorithm(ISSA)for optimizing platform parameters in the outer layer and a directed artificial bee colony algorithm(DABC)for optimizing trajectory parameters in the inner layer.The alternating iteration of ISSA-DABC facilitates the resolution of the collaborative optimization problem.The ISSA-DABC provides an effective solution to the platform-trajectory collaborative optimization problem for complex-structure well factories and overcomes the tendency of the traditional platform-trajectory stepwise optimization workflow to become trapped in local optima and yield inconsistent designs.The ISSA-DABC has a strong global search capability,fast convergence and good robustness,and can simultaneously satisfy multiple engineering constraints on drilling footage,trajectory complexity and collision risk,and enables automated,workflow-wide generation of constraint-compliant,near-globally optimal platform-trajectory configurations.Field applications further demonstrate that ISSA-DABC significantly reduces the objective function value and collision risk,yielding more rational platform layouts and well factory design parameters. 展开更多
关键词 complex-structure well factory ISSA DABC platform-trajectory collaborative optimization well factory 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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Spatiotemporal variation of fraction vegetation coverage and its driving factors in the Taihang mountainous area,China 认领 引用
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作者 QIAO Dingding ZHENG Peijin +3 位作者 SUN Piling LIU Kun LI Nan LIU Qingguo 《Journal of Mountain Science》 SCIE CSCD 2026年第7期3090-3103,共14页
This study investigates the spatiotemporal dynamics and driving factors of Fractional Vegetation Coverage(FVC)in the Taihang mountainous area from 2000 to 2022,using the Mann-Kendall test,Theil-Sen median analysis,coe... This study investigates the spatiotemporal dynamics and driving factors of Fractional Vegetation Coverage(FVC)in the Taihang mountainous area from 2000 to 2022,using the Mann-Kendall test,Theil-Sen median analysis,coefficient of variation(Cv),and the Optimal Parameter Geographic Detector(OPGD).FVC plays a critical role in mountain ecosystems by enhancing soil moisture retention,reducing erosion risk,stabilizing slopes,and indicating vegetation vitality and resilience in environmentally sensitive regions.As an essential ecological safety barrier for the North China Plain,understanding FVC variations in the Taihang Mountains is imperative for environmental protection and sustainable development in ecologically fragile mountainous areas.Results reveal a transition from low-grade to highgrade FVC,with an average annual increase of 0.004 and notable fluctuations.Improved areas accounted for 92.37%of the total,while degraded areas comprised only 6.26%.Spatially,FVC exhibits significant heterogeneity,with low coverage in the north and high coverage in the south.The coefficient of variation indicates generally low volatility,with lower Cv values in the south and east and higher values in the north and west.Mean annual temperature(Mat),mean annual precipitation(Map),and aspect(Asp)are identified as the primary driving factors.Interaction analyses demonstrate an enhancement effect,with combinations of natural environmental and socioeconomic factors exerting particularly significant impacts. 展开更多
关键词 Fraction vegetation coverage(FVC) Spatiotemporal variation Driving factors Optimal parameter geographic detector(OPGD) Taihang mountainous area
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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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A systematic study on the energy absorption performance of plate-lattices:performance,design,and optimization 认领 引用
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作者 Yuan Zhang Suli Ma +6 位作者 Wu Xu Liang Zhang Hong Xu Mengxin Ma Zhiyuan Wu Boyang Lv Xiaohu Liu 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第7期344-371,共28页
The energy absorption performance(EAP)of plate-lattices was systematically investigated,both independently and when applied to square-tube filling.Based on this,an optimization design model for the crashworthiness of ... The energy absorption performance(EAP)of plate-lattices was systematically investigated,both independently and when applied to square-tube filling.Based on this,an optimization design model for the crashworthiness of lattice-filled structures was established.The results indicate that among the three basic plate-lattices,the FCC has the best overall EAP.When subjected to three-point bending loads,the curvature of thin-walled tubes and the number of filling cells do not significantly enhance EAP;increasing the wall thickness can improve the specific energy absorption(SEA),but wall thickness has a significant impact on the peak crushing force(PCF)—as the wall thickness increases,the PCF also increases;increasing the relative density can enhance both SEA and PCF,but its energy absorption stability(EAS)initially improves and then weakens.When considering density distribution,placing more material in the middle part of the structure results in better EAP.Under axial loads,curved-tubes have lower SEA and poorer EAS compared to straight-tubes;when considering oblique loading,smaller tilt angles have less impact on the EAP;increasing the number of cells reduces the EAP but can improve EAS.Additionally,the optimization model proposed in this paper can significantly enhance the EAP of the designed structure. 展开更多
关键词 Plate-lattices Impact energy absorption Surrogate model Parameter optimization
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