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PCA-LSTM:An Impulsive Ground-Shaking Identification Method Based on Combined Deep Learning

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Computer Modeling in engineering & Sciences 2024年第6期139卷 3029-3045页

作者： Yizhao Wang College of Pipeline and Civil engineering China University of PetroleumQingdao266580China

Near-fault impulsive ground-shaking is highly destructive to engineering structures,so its accurate identification ground-shaking is a top priority in the engineering ***,due to the lack of a comprehensive consideration of the ground-shaking characteristics in traditional methods,the generalization and accuracy of the identification process are *** address these problems,an impulsive ground-shaking identification method combined with deep learning named PCA-LSTM is ***,ground-shaking characteristics were analyzed and groundshaking the data was annotated using Baker’***,the Principal Component Analysis(PCA)method was used to extract the most relevant features related to impulsive ***,a Long Short-Term Memory network(LSTM)was constructed,and the extracted features were used as the input for ***,the identification results for the Artificial Neural Network(ANN),Convolutional Neural Network(CNN),LSTM,and PCA-LSTMmodels were compared and *** experimental results showed that the proposed method improved the accuracy of pulsed ground-shaking identification by>8.358%and identification speed by>26.168%,compared to other benchmark models ground-shaking.

关键词： Impulsive ground-shaking principal component analysis artificial intelligence deep learning impulse recognition

Smart electrochemical sensing of amyloid-beta to manage total Alzheimer's diseases

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Neural Regeneration Research 2024年第6期19卷 1185-1186页

作者： Ajeet Kaushik NanoBioTech Laboratory Department of Environmental EngineeringFlorida Polytechnic UniversityLakelandFLUSA School of engineering University of Petroleum and Energy Studies(UPES)DehradunIndia

Need for Alzheimer's disease progression monitoring:Alzheimer's disease(AD)is an irreversible progressive brain disorder that causes severe and incurable *** World Health Organization estimates that 55 million people are affected by AD dementia by 2020 which may exceed 78 million by 2030 and 139 in *** estimated cost to manage AD is above US$1.3 trillion,which will further increase to US$2.8 trillion by 2030.

关键词： Alzheimer amyloid diseases

Silica-modified Pt/TiO_(2) catalysts with tunable suppression of strong metal-support interaction for cinnamaldehyde hydrogenation

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Chinese Journal of Chemical engineering 2024年第6期70卷 189-198页

作者： Zhengjian Hou Yuanyuan Zhu Hua Chi Li Zhao Huijie Wei Yanyan Xi Lishuang Ma Xiang Feng Xufeng Lin College of Chemistry and Chemical engineering China University of Petroleum(East China)Qingdao 266580China Advanced Chemical engineering and Energy Materials Research Center China University of Petroleum(East China)Qingdao 266580China State Key Laboratory of Heavy Oil Processing China University of Petroleum(East China)Qingdao 266580China

Tuning Strong Metal-support Interactions(SMSI)is a key strategy to obtain highly active catalysts,but conventional methods usually enable TiO_(x) encapsulation of noble metal components to minimize the exposure of noble *** study demonstrates a catalyst preparation method to modulate a weak encapsulation of Pt metal nanoparticles(NPs)with the supported TiO_(2),achieving the moderate suppression of SMSI *** introduction of silica inhibits this encapsulation,as reflected in the characterization results such as XPS and HRTEM,while the Ti^(4+) to Ti^(3+) conversion due to SMSI can still be found on the support ***,the hydrogenation of cinnamaldehyde(CAL)as a probe reaction revealed that once this encapsulation behavior was suppressed,the adsorption capacity of the catalyst for small molecules like H_(2) and CO was enhanced,which thereby improved the catalytic activity and facilitated the hydrogenation of ***,the introduction of SiO_(2) also changed the surface structure of the catalyst,which inhibited the occurrence of the acetal reaction and improved the conversion efficiency of C=O and C=C *** manipulation of SMSI formation and its consequence on the performance in catalytic hydrogenation reactions are discussed.

关键词： Pt catalyst Silica modification Hydrogenation Cinnamaldehyde Strong metal-support interaction

Structural Characteristics and Influencing Factors of Carbon Emission Spatial Association Network:A Case Study of Yangtze River Delta City Cluster,China

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Chinese Geographical Science 2024年第4期34卷 689-705页

作者： BI Xi SUN Renjin HU Dongou SHI Hongling ZHANG Han School of Economics and Management China University of Petroleum(Beijing)Beijing 102249China China petroleum Planning&engineering Institute Beijing 100083China

City cluster is an effective platform for encouraging regionally coordinated *** reduction of carbon emissions within city cluster via the spatial association network between cities can help coordinate the regional carbon emission management,realize sustainable development,and assist China in achieving the carbon peaking and carbon neutrality *** paper applies the improved gravity model and social network analysis(SNA)to the study of spatial correlation of carbon emissions in city clusters and analyzes the structural characteristics of the spatial correlation network of carbon emissions in the Yangtze River Delta(YRD)city cluster in China and its influencing *** results demonstrate that:1)the spatial association of carbon emissions in the YRD city cluster exhibits a typical and complex multi-threaded network *** network association number and density show an upward trend,indicating closer spatial association between cities,but their values remain generally ***,the network hierarchy and network efficiency show a downward trend but remain high.2)The spatial association network of carbon emissions in the YRD city cluster shows an obvious‘core-edge’distribution *** network is centered around Shanghai,Suzhou and Wuxi,all of which play the role of‘bridges’,while cities such as Zhoushan,Ma'anshan,Tongling and other cities characterized by the remote location,single transportation mode or lower economic level are positioned at the edge of the network.3)Geographic proximity,varying levels of economic development,different industrial structures,degrees of urbanization,levels of technological innovation,energy intensities and environmental regulation are important influencing factors on the spatial association of within the YRD city ***,policy implications are provided from four aspects:government macro-control and market mechanism guidance,structural characteristics of the‘core-edge’network,reconfigura

关键词： carbon emission spatial association network social network analysis(SNA) quadratic assignment procedure(QAP)model Yangtze River Delta city cluster China

Chemical modification of barite for improving the performance of weighting materials for water-based drilling fluids

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petroleum Science 2024年第1期21卷 551-566页

作者： Li-Li Yang Ze-Yu Liu Shi-bo Wang Xian-Bo He Guan-Cheng Jiang Jie Zhang MOE Key Laboratory of petroleum engineering State Key Laboratory of Petroleum Resources and ProspectingChina University of Petroleum(Beijing)Changping DistrictBeijing102249China MOE Key CNPC Drilling Research Institute Changping DistrictBeijing102206China

With increasing drilling depth and large dosage of weighting materials,drilling fluids with high solid content are characterized by poor stability,high viscosity,large water loss,and thick mud cake,easier leading to reservoir damage and wellbore *** this paper,micronized barite(MB)was modified(mMB)by grafting with hydrophilic polymer onto the surface through the free radical polymerization to displace conventional API barite *** suspension stability of water-based drilling fluids(WBDFs)weighted with API barite:mMB=2:1 in 600 g was significantly enhanced compared with that with API barite/WBDFs,exhibiting the static sag factor within 0.54 and the whole stability index of *** viscosity and yield point reached the minimum,with a reduction of more than 40%compared with API barite only at the same *** multi-stage filling and dense accumulation of weighting materials and clays,filtration loss was decreased,mud cake quality was improved,and simultaneously it had great reservoir protection performance,and the permeability recovery rate reached 87%.In addition,it also effectively improved the lubricity of *** sticking coefficient of mud cake was reduced by 53.4%,and the friction coefficient was ***,mMB can serve as a versatile additive to control the density,rheology,filtration,and stability of WBDFs weighted with API barite,thus regulating comprehensive performance and achieving reservoir protection *** work opened up a new path for the productive drilling of extremely deep and intricate wells by providing an efficient method for managing the performance of high-density WBDFs.

关键词： Drilling fluids Weighting materials Filtration control Reservoir protection Stability property

Adaptation analysis and fusion correction method of CMIP6 precipitation simulation data on the Qinghai-Tibetan Plateau

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Journal of Mountain Science 2024年第2期21卷 555-573页

作者： PENG Hao QIN Dahui WANG Zegen ZHANG Menghan YANG Yanmei YONG Zhiwei School of Civil engineering and Geomatics Southwest Petroleum UniversityChengdu 610500China School of Geoscience and Technology Southwest Petroleum UniversityChengdu 610500China

In order to obtain more accurate precipitation data and better simulate the precipitation on the Tibetan Plateau,the simulation capability of 14 Coupled Model Intercomparison Project Phase 6(CMIP6)models of historical precipitation(1982-2014)on the Qinghai-Tibetan Plateau was evaluated in this *** indicate that all models exhibit an overestimation of precipitation through the analysis of the Taylor index,temporal and spatial statistical *** correct the overestimation,a fusion correction method combining the Backpropagation Neural Network Correction(BP)and Quantum Mapping(QM)correction,named BQ method,was *** this method,the historical precipitation of each model was corrected in space and time,*** correction results were then analyzed in time,space,and analysis of variance(ANOVA)with those corrected by the BP and QM methods,***,the fusion correction method results for each model were compared with the Climatic Research Unit(CRU)data for significance analysis to obtain the trends of precipitation increase and decrease for each *** results show that the IPSL-CM6A-LR model is relatively good in simulating historical precipitation on the Qinghai-Tibetan Plateau(R=0.7,RSME=0.15)among the uncorrected *** terms of time,the total precipitation corrected by the fusion method has the same interannual trend and the closest precipitation values to the CRU data;In terms of space,the annual average precipitation corrected by the fusion method has the smallest difference with the CRU data,and the total historical annual average precipitation is not significantly different from the CRU data,which is better than BP and ***,the correction effect of the fusion method on the historical precipitation of each model is better than that of the QM and BP *** precipitation in the central and northeastern parts of the plateau shows a significant increasing *** correlation coefficients between monthly

关键词： GCM CMIP6 Precipitation correction BP-QM fusion correction Spatio-temporal characteristics

Theoretical insights into thermal transport and structural stability mechanisms of triaxial compressed methane hydrate

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Chinese Physics B 2024年第9期33卷 494-504页

作者： Dong-Sheng Chen Ting-Ting Miao Cheng Chang Xu-Yang Guo Meng-Yan Guan and Zhong-Li Ji Beijing Key Laboratory of Process Fluid Filtration and Separation College of Mechanical andTransportation EngineeringChina University of Petroleum-BeijingBeijing 102249China State Key Laboratory of petroleum Resources and Prospecting China University of Petroleum-BeijingBeijing 102249China

The heat transfer and stability of methane hydrate in reservoirs have a direct impact on the drilling and production efficiency of hydrate resources,especially in complex stress environments caused by formation *** this study,we investigated the thermal transport and structural stability of methane hydrate under triaxial compression using molecular dynamics *** results suggest that the thermal conductivity of methane hydrate increases with increasing compression *** phonon transport mechanisms were identified as factors enhancing thermal *** low compressive strains,a low-frequency phonon transport channel was established due to the overlap of phonon vibration peaks between methane and water *** high compressive strains,the filling of larger phonon bandgaps facilitated the opening of more phonon transport ***,we found that a strain of􀀀0.04 is a watershed point,where methane hydrate transitions from stable to ***,a strain of􀀀0.06 marks the threshold at which the diffusion capacities of methane and water molecules are at their *** a higher strain of􀀀0.08,the increased volume compression reduces the available space,limiting the diffusion ability of water and methane molecules within the *** synergistic effect of the strong diffusion ability and high probability of collision between atoms increases the thermal conductivity of hydrates during the unstable period compared to the stable *** findings offer valuable theoretical insights into the thermal conductivity and stability of methane hydrates in reservoir stress environments.

关键词： methane hydrate molecular dynamics thermal transport triaxial compression structural stability

Categorizing methods for integrating machine learning with executable specifications

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Science China(Information Sciences) 2024年第1期67卷 5-19页

作者： David HAREL Raz YERUSHALMI Assaf MARRON Achiya ELYASAF department of Computer Science and Applied Mathematics Weizmann Institute of Science department of Software and Information systems engineering Ben-Gurion University of the Negev

Deep learning(DL),which includes deep reinforcement learning(DRL),holds great promise for carrying out real-world tasks that human minds seem to cope with quite *** promise is already delivering extremely impressive results in a variety of ***,while DL-enabled systems achieve excellent performance,they are far from *** has been demonstrated,in several domains,that DL systems can err when they encounter cases they had not hitherto ***,the opacity of the produced agents makes it difficult to explain their behavior and ensure that they adhere to various requirements posed by human *** the other end of the software development spectrum of methods,behavioral programming(BP) facilitates orderly system development using self-standing executable modules aligned with how humans intuitively describe desired system *** this paper,we elaborate on different approaches for combining DRL with BP and,more generally,machine learning(ML) with executable specifications(ES).We begin by defining a framework for studying the various approaches,which can also be used to study new emerging approaches not covered *** then briefly review state-of-the-art approaches to integrating ML with ES,continue with a focus on DRL,and then present the merits of integrating ML with *** conclude with guidelines on how this categorization can be used in decision making in system development,and outline future research challenges.

关键词： machine learning artificial intelligence grey box learning domain knowledge rules behavioral programming deep reinforcement learning survey

Synthesis and characterization of nanocarbon from waste batteries via an eco-friendly method

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Waste Disposal and Sustainable Energy 2024年第2期6卷 197-208页

作者： Maraim Kh.Uoda Hussein Q.Hussein Rana R.Jalil Chemical engineering department College of EngineeringUniversity of BaghdadBaghdadIraq Thi.Qar Oil Company NassriyaIraq petroleum Research and Development Center BaghdadIraq

The widespread use of disposable batteries to power common electronic devices is a major source of *** are growing environmental and health concerns due to the expansion of e-waste around the ***,developing a reli-able system for recycling old batteries has reached the top of the recycling priority *** current study presents a novel approach to synthesis carbon nanoparticles(CNPs)from spent batteries via an eco-friendly method that offers economical,environment-friendly,and nontoxic approaches in comparison to conventional chemical *** synthesized nano-particles were characterized by field emission scanning electron microscopy(FE-SEM),energy-dispersive X-ray(EDX),powder X-ray diffractometry(XRD),UV-VIS absorption analysis(UV),Fourier transform infrared spectroscopy(FT-IR),Atomic force microscope(AFM),and thermo-gravimetric analysis(TGA).The average diameter of the synthesized particles was 40.16 nm,and the particles tended to be aspherical in *** analysis also predicted the presence of pure carbon,with some contamination arrived at 15%(in weight).This is a novel study in which nanocarbons were synthesized in a brine(7600x10-6)from a target(CNPs>75 nm),which paves the way for future use of CNPs derived from spent batteries and helps the environment by decreasing the amount of electronic waste dumped in landfills.

关键词： Novel Zn-C battery Carbon nanoparticles Characterization Eco-friendly methods