Cyclic wetting-drying alternation has a significant influence on the strength and structure of soils.It is prone to causing soil softening and disintegration,highlighting the importance to improve the soil's resis...Cyclic wetting-drying alternation has a significant influence on the strength and structure of soils.It is prone to causing soil softening and disintegration,highlighting the importance to improve the soil's resistance to disintegration.This paper utilizes a self-developed disintegration test apparatus to analyze the disintegration characteristics of improved red soil under wet-dry cycles,focusing on the disintegration amount and ratio.Furthermore,XRD(X-ray diffraction),SEM(scanning electron microscope),tensile test,and contact angle test are employed to investigate the anti-disintegration behaviors of the improved red soil.The results show that the disintegrating amount and ratio of undisturbed and improved red soil are distinctly different under wet-dry cycles.Linear,stepped,constant and concave but perfect"S"shapes of the disintegrating ratio are observed in the cyclic tests.Cement and lime strengthen the red soil primarily through hydration reaction.The drop experiment confirms that cement plays a crucial role in restraining the disintegration.When the ameliorant content is low,the correlation between pore parameters and disintegration duration of red soil follows the order:mean shape coefficient>fractal dimension>probability entropy>area probability distribution index.With a high ameliorant content,the correlation remains similar,with slightly higher correlation for probability entropy.Under wet-dry cycle conditions,sludge and kaolin can improve the soil through the bonding of clay particles.The improved water repellency greatly enhances the resistance to disintegration of the altered red soil.The research provides valuable insights for the practical application of soil.展开更多
Enzyme-induced carbonate precipitation(EICP)has emerged promising in various geotechnical applications,and has been presented as an alternative to the traditional cementitious materials-based ground improvement method...Enzyme-induced carbonate precipitation(EICP)has emerged promising in various geotechnical applications,and has been presented as an alternative to the traditional cementitious materials-based ground improvement method.However,the study on mechanical properties and disintegration behavior of EICP-reinforced sea sand subjected to drying-wetting cycles are limited.This study investigated the mechanical properties and disintegration behavior of EICP-reinforced sea sand against the impact of drying-wetting(D-W)cycles.The uniaxial compressive strength(UCS)tests were performed to discuss the effect of drying-wetting cycles on the mechanical behavior of EICP-treated sea sand.The disintegration tests were conducted on EICP-treated sea sand to investigate the disintegration resistance of bio-cemented samples with various cementation levels.The microstructures of samples before and after disintegration were examined to disclose the disintegration mechanisms of EICP-reinforced sea sand.D-W cycles significantly affect the mechanical properties of EICP-reinforced sea sand,with UCS decreasing by 63.7%after undergoing 15 D-W cycles.The disintegration resistance index of specimens with a lower cementation level decreases significantly under the effect of D-W treatment.The higher disintegration resistance of specimens with higher cementation can be attributed to more crystals with better crystallinity formed in the contact point between sand particles within specimen.The crystals formed by soybean husk urease are mainly calcite and the crystallinity of spherical calcites would gradually change into larger rhombic calcite with further bio-grouting.The crystal with poor crystallinity is susceptible to the effect of D-W treatment,resulting in the obvious disintegration of EICP-reinforced sea sand.Overall,this study is expected to provide useful guidance on the long-term stability and drying-wetting disintegration mechanisms of EICP-reinforced sea sand.展开更多
Conferring to the American Association of Neurological Surgeons(AANS)survey,85%to 99%of people are affected by spinal cord tumors.The symptoms are varied depending on the tumor’s location and size.Up-to-the-min-ute,b...Conferring to the American Association of Neurological Surgeons(AANS)survey,85%to 99%of people are affected by spinal cord tumors.The symptoms are varied depending on the tumor’s location and size.Up-to-the-min-ute,back pain is one of the essential symptoms,but it does not have a specific symptom to recognize at the earlier stage.Numerous significant research studies have been conducted to improve spine tumor recognition accuracy.Nevertheless,the traditional systems are consuming high time to extract the specific region and features.Improper identification of the tumor region affects the predictive tumor rate and causes the maximum error-classification problem.Consequently,in this work,Super-pixel analytics Numerical Characteristics Disintegration Model(SNCDM)is used to segment the tumor affected region.Estimating the super-pix-els of the affected region by this method reduces the variance between the iden-tified pixels.Further,the super-pixels are selected according to the optimized convolution network that effectively extracts the vertebral super-pixels features.Derived super-pixels improve the network learning and training process,which minimizes the maximum error classification problem also the efficiency of the system was evaluated using experimental results and analysis.展开更多
基金financially supported by the National Natural Science Foundation of China(Grant No.42102303)the Natural Science Foundation of Yunnan Province,China(Grant No.202401CF070174)the Xingdian Talent Support Program(Grant No.C619300A130).
文摘Cyclic wetting-drying alternation has a significant influence on the strength and structure of soils.It is prone to causing soil softening and disintegration,highlighting the importance to improve the soil's resistance to disintegration.This paper utilizes a self-developed disintegration test apparatus to analyze the disintegration characteristics of improved red soil under wet-dry cycles,focusing on the disintegration amount and ratio.Furthermore,XRD(X-ray diffraction),SEM(scanning electron microscope),tensile test,and contact angle test are employed to investigate the anti-disintegration behaviors of the improved red soil.The results show that the disintegrating amount and ratio of undisturbed and improved red soil are distinctly different under wet-dry cycles.Linear,stepped,constant and concave but perfect"S"shapes of the disintegrating ratio are observed in the cyclic tests.Cement and lime strengthen the red soil primarily through hydration reaction.The drop experiment confirms that cement plays a crucial role in restraining the disintegration.When the ameliorant content is low,the correlation between pore parameters and disintegration duration of red soil follows the order:mean shape coefficient>fractal dimension>probability entropy>area probability distribution index.With a high ameliorant content,the correlation remains similar,with slightly higher correlation for probability entropy.Under wet-dry cycle conditions,sludge and kaolin can improve the soil through the bonding of clay particles.The improved water repellency greatly enhances the resistance to disintegration of the altered red soil.The research provides valuable insights for the practical application of soil.
基金support of National Natural Science Foundation of China(Grant nos.41972276,52108307)"Foal Eagle Program"Youth Top-notch Talent Project of Fujian Province(Grant no.00387088)+1 种基金Natural Science Foundation of Fujian Province(Grant no.2020J06013)Qishan Scholar Project of Fuzhou University(Grant nos.XRC-22015,GXRC21047).
文摘Enzyme-induced carbonate precipitation(EICP)has emerged promising in various geotechnical applications,and has been presented as an alternative to the traditional cementitious materials-based ground improvement method.However,the study on mechanical properties and disintegration behavior of EICP-reinforced sea sand subjected to drying-wetting cycles are limited.This study investigated the mechanical properties and disintegration behavior of EICP-reinforced sea sand against the impact of drying-wetting(D-W)cycles.The uniaxial compressive strength(UCS)tests were performed to discuss the effect of drying-wetting cycles on the mechanical behavior of EICP-treated sea sand.The disintegration tests were conducted on EICP-treated sea sand to investigate the disintegration resistance of bio-cemented samples with various cementation levels.The microstructures of samples before and after disintegration were examined to disclose the disintegration mechanisms of EICP-reinforced sea sand.D-W cycles significantly affect the mechanical properties of EICP-reinforced sea sand,with UCS decreasing by 63.7%after undergoing 15 D-W cycles.The disintegration resistance index of specimens with a lower cementation level decreases significantly under the effect of D-W treatment.The higher disintegration resistance of specimens with higher cementation can be attributed to more crystals with better crystallinity formed in the contact point between sand particles within specimen.The crystals formed by soybean husk urease are mainly calcite and the crystallinity of spherical calcites would gradually change into larger rhombic calcite with further bio-grouting.The crystal with poor crystallinity is susceptible to the effect of D-W treatment,resulting in the obvious disintegration of EICP-reinforced sea sand.Overall,this study is expected to provide useful guidance on the long-term stability and drying-wetting disintegration mechanisms of EICP-reinforced sea sand.
文摘Conferring to the American Association of Neurological Surgeons(AANS)survey,85%to 99%of people are affected by spinal cord tumors.The symptoms are varied depending on the tumor’s location and size.Up-to-the-min-ute,back pain is one of the essential symptoms,but it does not have a specific symptom to recognize at the earlier stage.Numerous significant research studies have been conducted to improve spine tumor recognition accuracy.Nevertheless,the traditional systems are consuming high time to extract the specific region and features.Improper identification of the tumor region affects the predictive tumor rate and causes the maximum error-classification problem.Consequently,in this work,Super-pixel analytics Numerical Characteristics Disintegration Model(SNCDM)is used to segment the tumor affected region.Estimating the super-pix-els of the affected region by this method reduces the variance between the iden-tified pixels.Further,the super-pixels are selected according to the optimized convolution network that effectively extracts the vertebral super-pixels features.Derived super-pixels improve the network learning and training process,which minimizes the maximum error classification problem also the efficiency of the system was evaluated using experimental results and analysis.
