目前溶蚀作用下灰岩的力学特性试验及其本构模型偏少,为揭示溶蚀作用对灰岩力学性质的劣化影响,建立适用于描述溶蚀作用下灰岩力学性质劣化的本构模型。首先,基于溶蚀作用下灰岩单轴压缩试验结果,深入分析灰岩的力学特性,结果表明灰岩...目前溶蚀作用下灰岩的力学特性试验及其本构模型偏少,为揭示溶蚀作用对灰岩力学性质的劣化影响,建立适用于描述溶蚀作用下灰岩力学性质劣化的本构模型。首先,基于溶蚀作用下灰岩单轴压缩试验结果,深入分析灰岩的力学特性,结果表明灰岩弹性性质和强度性质会受溶蚀作用和塑性特征影响;其次,基于应变软化模型,从弹性增量法则、屈服准则和流动法则3个方面建立溶蚀作用下灰岩力学性质劣化模型(deterioration model of mechanical properties of limestone under dissolution,DLDM);然后,采用FLAC^(3D)-机器学习方法得到灰岩力学参数(弹性模量、黏聚力、内摩擦角)随溶蚀作用和等效塑性应变的具体变化规律;最后,对比已有试验值和模型计算值,验证DLDM模型合理性。验证表明,DLDM模型的计算结果与灰岩单轴压缩试验结果相吻合,能够准确地描述灰岩破坏过程中弹性模量、强度参数劣化演化规律,同时该模型可为岩溶地层中地下工程围岩稳定性分析提供理论依据。展开更多
Porous silicon(PSi)was applied as a supporting substrate for stepwise covalent derivatization of undecylenic acid, N-hydroxysuccinimidyl ester(NHS-ester)and nitrilotriacetic acid(NTA).By taking the advantages of porou...Porous silicon(PSi)was applied as a supporting substrate for stepwise covalent derivatization of undecylenic acid, N-hydroxysuccinimidyl ester(NHS-ester)and nitrilotriacetic acid(NTA).By taking the advantages of porous silicon as a supporting matrix such as high surface area to volume ratio,infrared transparency,porous semiconductors for laser desorption/ionization mass spectroscopy,and low fluorescence background,a multi-mode detection biochip prototype can be realized. We prepared such a protein microarray by spotting NTA microarray dots on NHS-ester derivatized PSi,converting the rest of chip area into poly(ethylene glycol)background,loading NiII,and finally affinity-binding histidine-tagged(His-tagged)proteins.With the multi-mode analyses of infrared spectroscopy,X-ray photoelectron spectroscopy(XPS),atomic force microscopy(AFM),matrix-assisted laser desorption/ionization mass spectroscopy(MALDI-MS),and fluorescence scanning,two example proteins,His-tagged thioredoxin-urodilatin and His-tagged aprotinin,were well qualified and quantified.展开更多
文摘目前溶蚀作用下灰岩的力学特性试验及其本构模型偏少,为揭示溶蚀作用对灰岩力学性质的劣化影响,建立适用于描述溶蚀作用下灰岩力学性质劣化的本构模型。首先,基于溶蚀作用下灰岩单轴压缩试验结果,深入分析灰岩的力学特性,结果表明灰岩弹性性质和强度性质会受溶蚀作用和塑性特征影响;其次,基于应变软化模型,从弹性增量法则、屈服准则和流动法则3个方面建立溶蚀作用下灰岩力学性质劣化模型(deterioration model of mechanical properties of limestone under dissolution,DLDM);然后,采用FLAC^(3D)-机器学习方法得到灰岩力学参数(弹性模量、黏聚力、内摩擦角)随溶蚀作用和等效塑性应变的具体变化规律;最后,对比已有试验值和模型计算值,验证DLDM模型合理性。验证表明,DLDM模型的计算结果与灰岩单轴压缩试验结果相吻合,能够准确地描述灰岩破坏过程中弹性模量、强度参数劣化演化规律,同时该模型可为岩溶地层中地下工程围岩稳定性分析提供理论依据。
基金the financial support of the National Basic Research Program of China(2007CB925101)the National Natural Science Foundation of China(20721002&20827001)an open research fund of State Key Laboratory of Bioelectronics,Southeast University
文摘Porous silicon(PSi)was applied as a supporting substrate for stepwise covalent derivatization of undecylenic acid, N-hydroxysuccinimidyl ester(NHS-ester)and nitrilotriacetic acid(NTA).By taking the advantages of porous silicon as a supporting matrix such as high surface area to volume ratio,infrared transparency,porous semiconductors for laser desorption/ionization mass spectroscopy,and low fluorescence background,a multi-mode detection biochip prototype can be realized. We prepared such a protein microarray by spotting NTA microarray dots on NHS-ester derivatized PSi,converting the rest of chip area into poly(ethylene glycol)background,loading NiII,and finally affinity-binding histidine-tagged(His-tagged)proteins.With the multi-mode analyses of infrared spectroscopy,X-ray photoelectron spectroscopy(XPS),atomic force microscopy(AFM),matrix-assisted laser desorption/ionization mass spectroscopy(MALDI-MS),and fluorescence scanning,two example proteins,His-tagged thioredoxin-urodilatin and His-tagged aprotinin,were well qualified and quantified.
