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Determination of the Storage or Porosity Coefficient Using the Natural Logarithm Curve by Means of in Situ Measurements
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作者 Victor Rogelio Tirado Picado 《Open Journal of Applied Sciences》 CAS 2023年第5期672-684,共13页
The relevance of studying the storage coefficient variable brings with it the updating of this value in the hydraulic characteristics as part of the hydrogeological parameters applied to each country, where recommende... The relevance of studying the storage coefficient variable brings with it the updating of this value in the hydraulic characteristics as part of the hydrogeological parameters applied to each country, where recommended values for the storage coefficient to be used in hydrogeological studies are presented. And the application of a methodology adapted to the conditions of each country, is done under current conditions resulting in reference values. For this research work, an adequate methodology was sought for calculating the storage coefficient with a natural logarithm (LN) arrangement. To achieve this, first, the variables that affect the storage coefficient were identified, then the model was described with the natural logarithm (LN) arrangement, and as a third point the storage coefficient was calculated. In conclusion, in points 1 and 2 it was possible to calculate the storage coefficient from the Natural Logarithm arrangement model, with a correlation equal to R<sup>2</sup> = 0.99, and R<sup>2</sup> = 0.97 respectively, indicating that this method can be applied as long as there is free aquifer conditions and that manipulation of data alteration is not frequent. 展开更多
关键词 HYDROGEOLOGY storage coefficient TRANSMISSIBILITY DRAWDOWN Natural Logarithm
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Mechanical behavior of rock under uniaxial tension:Insights from energy storage and dissipation 被引量:2
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作者 Guanshuang Tan Chunde Ma +3 位作者 Junjie Zhang Wenyuan Yang Guiyin Zhang Zihao Kang 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2024年第7期2466-2481,共16页
Many rock engineering projects show that the growth of tensile cracks is often an important cause of engineering disasters,and the mechanical behavior of rocks is essentially the transmission,storage,dissipation and r... Many rock engineering projects show that the growth of tensile cracks is often an important cause of engineering disasters,and the mechanical behavior of rocks is essentially the transmission,storage,dissipation and release of energy.To investigate the tensile behavior of rock from the perspective of energy,uniaxial tension tests(UTTs)and uniaxial compression tests(UCTs)were carried out on three typical rocks(granite,sandstone and marble).Different unloading points were set before the peak stress to separate elastic energy and dissipated energy.The input energy density ut,elastic energy density ue,and dissipated energy density ud at each unloading point were calculated by integrating stress-strain curves.The results show that there is a strong linear relationship between the three energy parameters and the square of the unloading stress in UCT,but this linear relationship is weaker in UTT.The ue and ud increase linearly with the increase in ut in UCT and UTT.Based on the phenomenon that ue and ud increase linearly with ut,the applicability of W_(et)^(p) index in UTT was proved and the relative energy storage capacity and absolute energy distribution characteristics of three rocks in UCT and UTT were evaluated.The tensile behavior of marble and sandstone in UTT can be divided into two stages vaguely according to the energy distribution,but granite is not the case.In addition,based on dissipated energy,the damage evolution of three types of rocks in UCT and UTT was discussed.This study provides some new insights for understanding the tensile behavior of rock. 展开更多
关键词 Uniaxial tension Energy density Mechanical behavior Energy storage coefficient Energy dissipation coefficient
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Impact of light-weight external thermal insulation materials on building surrounding thermal environment in summer 被引量:6
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作者 李楠 罗国志 +1 位作者 李百战 黄彦祺 《Journal of Central South University》 SCIE EI CAS 2012年第6期1639-1644,共6页
The method for calculating wall surface heat storage coefficient was introduced,and the coefficients of several common walls with light-weight external thermal insulation materials and the traditional solid clay brick... The method for calculating wall surface heat storage coefficient was introduced,and the coefficients of several common walls with light-weight external thermal insulation materials and the traditional solid clay brick wall were calculated.In order to study the impact of light-weight external thermal insulation materials,a contrasting experiment was carried out between an external insulated room and an uninsulated room in August,2010,in Chongqing,China.The result shows that outside surface heat storage coefficient of the insulated wall is much less than that of the traditional wall.However,during sunny time,the surface temperature of external walls of the insulated room is obviously higher than that of the uninsulated room.In different orientations,due to different amounts of solar radiation and being irradiated in different time,the contrasting temperature difference(CTD) appears different regularity.In a word,using light-weight external thermal insulation materials has a negative impact on building surrounding thermal environment and people's health.Finally,some suggestions on how to eliminate the impact,such as improving the surface condition of the building envelop,and plating vertical greening,are put forward. 展开更多
关键词 surface heat storage coefficient external thermal insulation BUILDING thermal environment building envelop
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Effect of matrix thermal properties on laser-induced plasma
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作者 Yuheng Shan An Li +4 位作者 Xinyu Zhang Wen Yi Ying Zhang Xiaodong Liu Ruibin Liu 《Chinese Physics B》 SCIE EI CAS CSCD 2024年第10期331-336,共6页
The matrix thermal properties have an important impact on laser-induced plasma,as the thermal effect dominates the interaction between ns-pulsed laser and matter,especially in metals.We used a series of pure metals an... The matrix thermal properties have an important impact on laser-induced plasma,as the thermal effect dominates the interaction between ns-pulsed laser and matter,especially in metals.We used a series of pure metals and aluminum alloys to measure plasma temperature and electron density through laser-induced breakdown spectroscopy,in order to investigate the effect of matrix thermal properties on laser-induced plasma.In pure metals,a significant negative linear correlation was observed between the matrix thermal storage coefficient and plasma temperature,while a weak correlation was observed with electron density.The results indicate that metals with low thermal conductivity or specific heat capacity require less laser energy for thermal diffusion or melting and evaporation,resulting in higher ablation rates and higher plasma temperatures.However,considering ionization energy,thermal effects may be a secondary factor affecting electron density.The experiment of aluminum alloy further confirms the influence of thermal conductivity on plasma temperature and its mechanism explanation. 展开更多
关键词 laser-induced plasma thermal properties matrix effect thermal storage coefficient plasma temperature
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Developing the QSPR model for predicting the storage lipid/water distribution coefficient of organic compounds 被引量:1
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作者 Miao Li Jian Li +4 位作者 Yuchen Lu Cenyang Han Xiaoxuan Wei Guangcai Ma Haiying Yu 《Frontiers of Environmental Science & Engineering》 SCIE EI CAS CSCD 2021年第2期87-94,共8页
The distribution of organic compounds in stored lipids affects their migration,transformation,bioaccumulation,and toxicity in organisms.The storage lipid/water distribution coefficient(log K_(lip/w))of organic chemica... The distribution of organic compounds in stored lipids affects their migration,transformation,bioaccumulation,and toxicity in organisms.The storage lipid/water distribution coefficient(log K_(lip/w))of organic chemicals,which quantitatively determines such distribution,has become a key parameter to assist their ecological security and health risk.Due to the impossibility to measure K_(lip/w)values for a huge amount of chemicals,it is necessary to develop predictive approaches.In this work,a quantitative structure-property relationship(QSPR)model for estimating log K_(lip/w)values of small organic compounds was constructed based on 305 experimental log K_(lip/w)values.Quantum chemical descriptors and n-octanol/water partitioning coefficient were employed to characterize the intermolecular interactions that dominate log K_(lip/w)values.The hydrophobic and electrostatic interactions and molecular size have been found to play important roles in governing the distribution of chemicals between lipids and aqueous phases.The regression(R2=0.959)and validation(Q2=0.960)results indicate good fitting performance and robustness of the developed model.A comparison with the predictive performance of other commercial software further proves the higher accuracy and stronger predictive ability of the developed K_(lip/w)predictive model.Thus,it can be used to predict the K_(lip/w)values of cycloalkanes,long-chain alkanes,halides(with fluorine,chlorine,and bromine as substituents),esters(without phosphate groups),alcohols(without methoxy groups),and aromatic compounds. 展开更多
关键词 storage lipid/water distribution coefficient log Klip/w Organic compounds QSPR Quantum chemical descriptors
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