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Response properties of geometries of coal penetrating fracture on seepage behavior

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International Journal of Mining Science and Technology 2025年第2期35卷 191-211页

作者： Penghua Han Kai Wang Jiewen Pang Xiaofeng Ji cun zhang College of Engineering for Safety and Emergency Management Taiyuan University of Science and TechnologyTaiyuan 030024China School of Energy and Mining Engineering China University of Mining and Technology-BeijingBeijing 100083China Engineering Research Center of Green and Intelligent Mining for Thick Coal Seam Ministry of EducationChina University of Mining and Technology-BeijingBeijing 100083China

The fracture surfaces of coal-rock masses formed under mining-induced stress generally exhibit complex geometries, and the fracture geometry is one of the primary factors affecting the seepage characteristics of coal-rock penetrating fracture. This paper investigates the seepage characteristics of 5 groups of coal penetrating fracture(CPF) with different joint roughness coefficients(JRCs). Based on 3D morphology scanner tests and hydraulic coupling tests, a characterization method of effective geometric parameters in fracture surfaces under various confining pressures was improved, and a relationship between effective geometric parameters and the confining pressure is established. The results indicate that the nonlinear flow behavior in a CPF primarily includes three types: non-Newtonian fluid seepage under high confining pressure and low JRC, non-Darcy seepage under low confining pressure and high JRC, and the whole process of seepage characteristics between these two conditions. Among them, nonNewtonian fluid seepage is caused by significant fracture expansion, while non-Darcy seepage can be attributed to turbulence effects. During the seepage process, the geometric parameters with different JRC fracture samples all exhibit exponential changes with the increase of confining pressure. In addition,under high confining pressure, the effective contact ratio, effective fracture aperture, and void deviation ratio with high JRC fracture samples under high confining pressure increase by 93.5%, 67.4%, and 24.9%,respectively, compared with those of low JRC fracture samples. According to the variation of geometric parameters in a CPF with external stress, a seepage model considering geometric parameters in a CPF is proposed. By introducing the root mean square error(RMSE) and coefficient of determination(R2) to evaluate the error and goodness of fit between model curves and experimental data, it is found that the theoretical curves of model in this paper have the best matchi

关键词： Coal penetrating fracture Roughness Geometries Seepage characteristics

Impulsive thrust strategy for orbital pursuit-evasion games based on impulse-like constraint

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Chinese Journal of Aeronautics 2025年第1期38卷 520-536页

作者： Hongbo WANG Yao zhang hao LIU Kunpeng zhang School of Aerospace Engineering Beijing Institute of TechnologyBeijing 100081China National Key Laboratory of Space Intelligent Control Beijing Institute of Control EngineeringBeijing 100094China

This paper proposes a novel impulsive thrust strategy guided by optimal continuous thrust strategy to address two-player orbital pursuit-evasion game under impulsive thrust *** strategy seeks to enhance the interpretability of impulsive thrust strategy by integrating it within the framework of differential game in traditional continuous ***,this paper introduces an impulse-like constraint,with periodical changes in thrust amplitude,to characterize the impulsive thrust ***,the game with the impulse-like constraint is converted into the two-point boundary value problem,which is solved by the combined shooting and deep learning method proposed in this *** learning and numerical optimization are employed to obtain the guesses for unknown terminal adjoint variables and the game terminal ***,the accurate values are solved by the shooting method to yield the optimal continuous thrust strategy with the impulse-like ***,the shooting method is iteratively employed at each impulse decision moment to derive the impulsive thrust strategy guided by the optimal continuous thrust *** examples demonstrate the convergence of the combined shooting and deep learning method,even if the strongly nonlinear impulse-like constraint is *** effect of the impulsive thrust strategy guided by the optimal continuous thrust strategy is also discussed.

关键词： Orbital pursuit-evasion game Differential game Impulsive thrust Deep learning Shooting method

Low-cost and fluoride-free synthesis of MFI zeolite nanosheets with enhanced stability for benzene alkylation with ethanol

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Journal of Energy Chemistry 2025年第1期100卷 458-468页

作者： Peng Zhu cun Liu Yiren Yu Guoshu Gao Yumeng Zhao Xiongfu zhang Guodong Liu Guohui Yang State Key Laboratory of Fine Chemicals School of Chemical EngineeringDalian University of TechnologyDalian 116024 State Key Laboratory of Catalysis Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023LiaoningChina

Zeolite nanosheets with a short b-axis thickness are highly desirable in lots of catalytic reactions due to their reduced diffusion resistance. Nevertheless, conventional synthesis methods usually require expensive structure-directing agents(SDAs), pricey raw materials, and eco-unfriendly fluorine-containing additives. Here, we contributed a cost-effective and fluoride-free synthesis method for synthesizing high-quality MFI zeolite nanosheets through a Silicalite-1(Sil-1) seed suspension and urea cooperative strategy, only with inexpensive colloidal silica as the Si source. Our approach was effective for synthesizing both Sil-1 and aluminum-containing ZSM-5 nanosheets. By optimizing key synthesis parameters,including seed aging time, seed quantity, and urea concentration, we achieved precise control over the crystal face aspect ratio and b-axis thickness. We also revealed a non-classical oriented nanosheet growth mechanism, where Sil-1 seeds induced the formation of quasi-ordered precursor particles, and the(010)crystal planes of these particles facilitated urea adsorption, thereby promoting c-axis-oriented *** obtained ZSM-5 nanosheets exhibited exceptional catalytic performance in the benzene alkylation with ethanol, maintaining stability for over 500 h, which is 5 times longer than traditional ZSM-5 catalysts. Furthermore, large-scale production of ZSM-5 nanosheets was successfully carried out in a 3 L highpressure autoclave, yielding samples consistent with those from laboratory-scale synthesis. This work marks a significant step forward in the sustainable and efficient production of MFI nanosheets using inexpensive and environmentally friendly raw materials, offering the broad applicability in catalysis.

关键词： MFI zeolite ZSM-5 Nanosheets Scale-up synthesis Aromatic alkylation

NiNC Catalysts in CO_(2)-to-CO Electrolysis

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Nano-Micro Letters 2025年第4期17卷 363-366页

作者： hao zhang Menghui Qi Yong Wang Department of Chemical Engineering Massachusetts Institute of TechnologyCambridgeMA 02139USA Department of Chemistry University of OxfordOxford OX13TAUK Advanced Materials and Catalysis Group Department of ChemistryInstitute of CatalysisZhejiang UniversityHangzhou 310058People’s Republic of China

CO_(2)-to-CO electrolyzer technology converts carbon dioxide into carbon monoxide using electrochemical methods,offering significant environmental and energy benefits by aiding in greenhouse gas mitigation and promoting a carbon circular *** study by Strasser et *** Nature Chemical Engineering presents a high-performance CO_(2)-to-CO electrolyzer utilizing a NiNC catalyst with nearly 100%faradaic efficiency,employing innovative diagnostic tools like the carbon crossover coefficient(CCC)to address transport-related failures and optimize overall ***’s research demonstrates the potential of NiNC catalysts,particularly NiNC-IMI,for efficient CO production in CO_(2)-to-CO electrolyzers,highlighting their high selectivity and ***,challenges such as localized CO_(2)depletion and mass transport limitations underscore the need for further optimization and development of diagnostic tools like *** for optimizing catalyst structure and operational parameters offer avenues for enhancing the performance and reliability of electrochemical CO_(2)reduction catalysts.

关键词： NiNC catalysts CO_(2)-to-CO electrolyzer Faradaic efficiency Carbon crossover coefficient(CCC) Mesoporous structures

A　Triad　Mechanism　for　CO（A）－CO（X）　Rovibronic　Energy　Transfer：Experiment　Versus　Theory

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Chinese Journal of Structural Chemistry 1995年第Z1期 321-336页

作者： Sha Guo-He He Jin-Bao Jiang Bo zhang cun-hao(State Key Laboratory of Molecular Reaction Dynamics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences,Dalian 116023, China)

ＡＴｒｉａｄＭｅｃｈａｎｉｓｍｆｏｒＣＯ（Ａ）－ＣＯ（Ｘ）ＲｏｖｉｂｒｏｎｉｃＥｎｅｒｇｙＴｒａｎｓｆｅｒ：ＥｘｐｅｒｉｍｅｎｔＶｅｒｓｕｓＴｈｅｏｒｙ￥ＳｈａＧｕｏ－Ｈｅ；ＨｅＪｉｎ－Ｂａｏ；ＪｉａｎｇＢｏ；Ｚｈａ... 详细信息

ＡＴｒｉａｄＭｅｃｈａｎｉｓｍｆｏｒＣＯ（Ａ）－ＣＯ（Ｘ）ＲｏｖｉｂｒｏｎｉｃＥｎｅｒｇｙＴｒａｎｓｆｅｒ：ＥｘｐｅｒｉｍｅｎｔＶｅｒｓｕｓＴｈｅｏｒｙ￥ＳｈａＧｕｏ－Ｈｅ；ＨｅＪｉｎ－Ｂａｏ；ＪｉａｎｇＢｏ；ＺｈａｎｇＣｕｎ－Ｈａｏ（ＳｔａｔｅＫｅ...

关键词： molecular dynamics energy transfer state-to-state dynamics OODRMPI Spectroscopy

Optimizing battery deployment: Aging trajectory prediction enabling homogenous performance grouping

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Journal of Energy Chemistry 2025年第1期100卷 565-577页

作者： Shuquan Wang Feng Gao Zhan Ma hao Tian Yusen zhang School of Control Science and Engineering Shandong UniversityJinan 250061ShandongChina Key Lab of Power System Intelligent Dispatch and Control of Ministry of Education Shandong UniversityJinan 250061ShandongChina

As battery deployments in electric vehicles and energy storage systems grow, ensuring homogeneous performance across units is crucial. We propose a multi-derivative imaging fusion(MDIF) model, employing advanced imaging and machine learning to predict battery aging trajectories from minimal initial data, thus facilitating effective performance grouping before deployment. Utilizing a derivative strategy and Gramian Angular Difference Field for dimensional enhancement, the MDIF model uncovers subtle predictive features from discharge curve data after only ten cycles. The architecture includes a parallel convolutional neural network with lateral connections to enhance feature integration and *** on a self-developed dataset, the model achieves an average root-mean-square error of 0.047 Ah and an average mean absolute percentage error of 1.60%, demonstrating high precision and *** robustness is further validated through transfer learning on two publicly available datasets, adapting with minimal retraining. This approach significantly reduces the testing cycles required, lowering both time and costs associated with battery testing. By enabling precise battery behavior predictions with limited data, the MDIF model optimizes battery utilization and deployment strategies, enhancing system efficiency and sustainability.

关键词： Lithium-ion battery Battery prognostics Fusion model Convolutional neural network Transfer learning

The influence mechanism of environmental factors on DGT adsorbing sulfonamides and the migration between water and sediment

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Journal of Environmental Sciences 2025年第5期151卷 347-359页

作者： Peng zhang Jingfeng Yan hao Ji Linke Ge Yanying Li School of Environmental Science and Technology Shaanxi University of Science&TechnologyXi’an 710021China College of Environmental Sciences and Engineering Dalian Maritime UniversityDalian 116026China

Obtaining the sulfonamides(SAs)concentrations in the water body and sediment bulk was a prerequisite to reveal their transport and partitioning behavior in sediment-water environments and accurately assess their ecological *** the present study,the influences of multifactor interactions on the performance of o-DGTs with XAD-18 binding gels were analyzed by central combination experiments and response surfaces analysis,in which the target compounds were 9 *** results indicated that dissolved organic matter(DOM),pH,and suspended particulate matter(SS)had significant effects on the o-DGT sampling,whereas this o-DGT was independent of the ionic strength(IS).Concentning the composite influence of the four factors,the interaction between DOM and SS posed the most significant effect on all 9 SAs ***,an o-DGT and DIFSmodel was applied to explore the SAs migration between the water-sediments *** difference between desorption rate(k_(b))and adsorption rates(k_(f))values suggested that the kinetics of SAs was dominated by ***,the short-term sediment-water partitioning of SAs was clarified on the basis of distribution coefficient(K_(dl))for the labile SAs,among which the sulfadiazine(SDZ)had the largest labile *** ability of sediments to release SAs to the liquid phase as a sink was determined by response time(T_(c)).Among the 9 SAs,the longterm release of soseulfamethoxypyridazine(SMP)from the solid phase of sediments would have a potential risk to the aquatic environment,to which more attention should be paid in the future.

关键词： Sulfonamides O-DGT Water-sediments interface DIFS Distribution

Advanced dielectrics for 2D devices

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Science Bulletin 2025年第3期70卷 295-296页

作者： hao zhang Zhiwen Lu Zhenhai Wen Department of Chemical Engineering Massachusetts Institute of TechnologyCambridgeMA 02139USA Department of Chemistry University of OxfordOxford OX13TAUK CAS Key Laboratory of Design and Assembly of Functional Nanostructures Fujian Provincial Key Laboratory of Materials and Techniques toward Hydrogen EnergyFujian Institute of Research on the Structure of MatterChinese Academy of SciencesFuzhou 350002China

As the application potential of two-dimensional(2D)materials in fields such as nanoelectronics,optoelectronics,and quantum computing continues to grow,the challenge of fabricating high-quality dielectric layers has be... 详细信息

关键词： computing continue devices

Horizontal transposon transfer during plant terrestrialization

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Journal of Integrative Plant Biology 2025年第1期67卷 15-18页

作者： hao Wang Zilong Xu Zhenhua zhang Bojian Zhong College of Life Sciences Nanjing Normal UniversityNanjing 210023China

Horizontal gene transfer(HGT)is the sharing of genetic material between reproductively isolated *** process breaks the boundaries of genetic relatedness between organisms and enables the recipient to rapidly acquire n... 详细信息

关键词： species transfer reproductive