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dominant factors in MiniCone, CPT and pile correlations: A data‐based approach

Deep Underground Science and Engineering 2023年第4期2卷 346-358页

作者： Seyed Sajad Shirani Abolfazl Eslami Amirhossein Ebrahimipour Moses Karakouzian Department of Civil and Environmental Engineering Amirkabir University of Technology(AUT)(Tehran Polytechnic)TehranIran University of California San Diego San DiegoCaliforniaUSA Department of Civil and Environmental Engineering and Construction University of NevadaLas VegasNevadaUSA

The cone penetration test(CPT)contributes to the design and analysis of piles regarding geometry,installation effect,and pile capacity(shaft and toe resistance).MiniCone,as an alternative to CPT sounding,has been used to carry outﬁeld and laboratory investigations by physical modeling.More tests can be practically carried out through light equipment and small soil mass,involving fewer errors caused by boundary conditions.Furthermore,it can be used for in situ testing,such as quality control,assessment of ground improvement,and subgrade characterization.A database comprising MiniCone and CPT records inﬁeld and physical modeling is proposed with a variety of cone diameters.The case study records in the database have been obtained from 140 tests compiled from data from 26 sources.The sources include the results of 20 physical modelings andﬁeld data from six sites in 10 countries.The data comprise MiniCone and CPT cone tip resistance(qc),and sleeve friction(fs).The different cones are used in sandy,silty sand,and clayey soils via simple chambers(1 g),calibration chambers,and frustum conﬁning vessels.In addition,correlations were found in penetration records in terms of physical modeling types,cone diameters,penetration rates,and soil densities.Moreover,qc and fs are related to capacities of pile toes and shafts using proper correlation coefﬁcients less than unity,respectively.Correlations and dominant factors in geotechnical practice between MiniCone,CPT,and pile have been reviewed and discussed.

关键词： correlations CPT database dominant factors MiniCone pile

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Elucidating dominant factors of PO43–, Cd2+ and nitrobenzene removal by biochar: A comparative investigation based on distinguishable biochars

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Chinese Chemical Letters 2019年第12期30卷 2221-2224页

作者： Zhanglin Liu Dong Tian Fei Shen Lulu Long Yanzong Zhang Gang Yang Yongmei Zeng Jing Zhang Jinsong He Ying Zhu Shihuai Deng Institute of Ecological and Environmental Sciences Sichuan Agricultural UniversityChengdu 611130.China Rural Environment Protection Engineering&Technology Center of Sichuan Province Sichuan Agricultural UniversityChengdu 611130China

Biochars produced from crab shell(CSB),oak sawdust(OB),Jeru salem artichoke tuber(JAB) and sorghum grain(SB) displayed distinguishable adsorption-related characteristics,such as specific surface area(SSA),ash content and acidic oxygen-containing functional groups(AFGs),which linked to the biochar adsorption mechanisms of most pollutants.Herein,PO4^3-,Cd^2+,and nitrobenzene(NB) were employed for adsorption by these biochars to elucidate the dominant factors for the adsorption.Adsorption performance of the three pollutants onto these four biochars varied considerably,as exemplified by the excellent adsorption of PO4^3- and Cd^2+ onto CSB(225.3 and 116.0 mg/g,respectively) as compared with onto the other three biochars(4.2-37.1 mg/g for P043-and 9.7-41.0 mg/g for Cd^2+).OB displayed the best adsorption of NB(72.0 mg/g),followed by SB(39.5 mg/g),JAB(31.1 mg/g),and CSB(23.6 mg/g).The kinetics and isotherm adsorption assessments couple with material characterization suggested that the sorption of selected pollutants on biochars was attributed to the multiple mechanisms involved,including coprecipitation,chemical bonds,cation exchange,physical absorption,and complexation.Further path analysis suggested that AFGs and ash content in biochars were more important than SSA with regards to pollutant removal,especially,with ash playing a crucial role in the removal of Cd2+ and PO43-,and AFGs being mainly re s ponsible for NB adsorption.These findings might offer guidance on the preparation or modification of biochar with a targeted function for pollutant removal through an understanding the dominant factors.

关键词： Biochars Adsorption Typical pollutants dominant factors Path analysis

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Hybrid data-driven framework for shale gas production performance analysis via game theory, machine learning, and optimization approaches

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Petroleum Science 2023年第1期20卷 277-294页

作者： Jin Meng Yu-Jie Zhou Tian-Rui Ye Yi-Tian Xiao Ya-Qiu Lu Ai-Wei Zheng Bang Liang Petroleum Exploration and Production Research Institute SINOPECBeijing100083PR China Jianghan Oilfield Company Research Institute of Exploration and DevelopmentSINOPECWuhan430223HubeiPR China

A comprehensive and precise analysis of shale gas production performance is crucial for evaluating resource potential,designing a field development plan,and making investment decisions.However,quantitative analysis can be challenging because production performance is dominated by the complex interaction among a series of geological and engineering factors.In fact,each factor can be viewed as a player who makes cooperative contributions to the production payoff within the constraints of physical laws and models.Inspired by the idea,we propose a hybrid data-driven analysis framework in this study,where the contributions of dominant factors are quantitatively evaluated,the productions are precisely forecasted,and the development optimization suggestions are comprehensively generated.More specifically,game theory and machine learning models are coupled to determine the dominating geological and engineering factors.The Shapley value with definite physical meaning is employed to quantitatively measure the effects of individual factors.A multi-model-fused stacked model is trained for production forecast,which provides the basis for derivative-free optimization algorithms to optimize the development plan.The complete workflow is validated with actual production data collected from the Fuling shale gas field,Sichuan Basin,China.The validation results show that the proposed procedure can draw rigorous conclusions with quantified evidence and thereby provide specific and reliable suggestions for development plan optimization.Comparing with traditional and experience-based approaches,the hybrid data-driven procedure is advanced in terms of both efficiency and accuracy.

关键词： Shale gas Production performance Data-driven dominant factors Game theory Machine learning Derivative-free optimization

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Identification of dominant Climate Variables on Spatiotemporal Variation in Reference Evapotranspiration on the Loess Plateau,China

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Chinese Geographical Science 2022年第4期32卷 620-642页

作者： LI Xiaofei LIANG Wei JIAO Lei YAN Jianwu ZHANG Weibin WANG Fengjiao GOU Fen WANG Chengxi SHAO Quanqin School of Geography and Tourism Shaanxi Normal UniversityXi’an 710119China National Demonstration Center for Experimental Geography Education Shaanxi Normal UniversityXi’an 710119China Xi’an Gu Bo Electronic Intelligent Technology Co. LtdXi’anChina Key Laboratory of Terrestrial Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China

Reference evapotranspiration(ET_(0))is a vital component in hydrometeorological research and is widely applied to various aspects,such as water resource management,hydrological modeling,irrigation deployment,and understanding and predicting the influence of hydrologic cycle variations on future climate and land use changes.Quantifying the influence of various meteorological variables on ET_(0) is not only helpful for predicting actual evapotranspiration but also has important implications for understanding the impact of global climate change on regional water resources.Based on daily data from 69 meteorological stations,the present study analyzed the spatiotemporal pattern of ET_(0) and major contributing meteorological variables to ET_(0) from 1960 to 2017 by the segmented re-gression model,Mann-Kendall test,wavelet analysis,generalized linear model,and detrending method.The results showed that the annual ET_(0) declined slightly because of the combined effects of the reduction in solar radiation and wind speed and the increase in vapor pressure deficit(VPD)and average air temperature in the Loess Plateau(LP)during the past 58 yr.Four change points were detected in 1972,1990,1999,and 2010,and the annual ET_(0) showed a zigzag change trend of‘increasing-decreasing-increasing-decreasing-increasing’.Wind speed and VPD played a leading role in the ET_(0) changes from 1960 to 1990 and from 1991 to 2017,respectively.This study confirms that the dominant meteorological factors affecting ET_(0) had undergone significant changes due to global climate change and vegetation greening in the past 58 years,and VPD had become the major factor controlling the ET_(0) changes on the LP.The data presented herein will contribute to increasing the accuracy of predictions on future changes in ET_(0).

关键词： reference evapotranspiration(ET0) change points generalized linear model dominant factors vapor pressure deficit(VPD) Loess Plateau(LP)

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浙江省创新资源集聚发展模式和主导因素研究

浙江省创新资源集聚发展模式和主导因素研究

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作者：任森浙江大学

学位级别：硕士

Since 1970s, intraindustry trade had grown an increasing portion of total trade volume Traditional trade theory could not explain such trend. New trade theory advocates like Krugman employed increasing return and monopolistic competition explaining the rationale of intraindustry trade. He believes technical competition is the essence of trade competition. Innovation resource endowment determines the ability of R&D, thus determines their position in a later competition in actual product markets. It is becoming increasingly important to understand the role of innovation resource integration in such context. During the twenty years after the open and reform policy, innovation resource in Zhejiang began to emerge and accumulated, the industry, economic and social environment which facilitate innovation is by and large established. This is a process of systematically interaction between resources and innovative institutions. Through a thorough review of the past experience and current situation for Zhejiang innovation resource integration, we could make self assessments objectively. By discovering and eliminating the obstacles which restrain innovative activities, we could accelerate the construction of Zhejiang IRI (Innovation resource integration). It is of significant importance in promoting regional innovative capacity and enhancing the economic performance in international competition.This dissertation focus on tow aspects: Zhejiang IRI process and its determinants. In the first part, through systematic review of current literatures, the author constructs theoretical framework for innovation resource integration and analyzed its rationales. Then, model the evolutionary path by applying the preceding theorems into Zhejiang IRI process, different stages are distinguished according to industry properties, the source of technology and the involvement of local governors. The status quo is also covered. The next part exams the dominant factor in Zhejiang IRI process. This part focuses on two aspects: 1) the actors

关键词： Innovation resource integration (IRI) evolutionary model dominant factors time series factor analysis

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