지역안정을 위한 경제협력

Habibie Bacharuddin Jusuf 한국방위산업진흥회 1996 國防과 技術 Vol.- No.212

이 글은 일본 도쿄에서 1996년 5월 17일 열린 니혼 게이자이 신문 주최의 아시아의 미래에 대한 국제회의에서Habibie 박사가 발표한 주제 내용을 요약한 것이다. Habibie 박사는 인도네시아 국영 항공기업체인 IPTN 사장을 거쳐, 현 과학기술처 장관과 함께 국가 연구위원회, 기술평가 적용위원회, 전략산업위원회 의장을 역임하고 있다.

국가안보와 경제발전 달성을 위한 강력한 첨단기술정책의 적용

Habibie Bacharuddin Jusuf 한국방위산업진흥회 1996 國防과 技術 Vol.- No.211

이 글은 싱가포르 웨스틴 스템포드에서 1996년 2월 6일부터 7일까지 열린 싱가포르 SAFE-KNT 주최의 제3차 아시아.태평양 방위 회의(APD '96)에서 Habibie 박사가 발표한 주제 내용을 요약한 것이다. Habibie 박사는 인도네시아 국영 항공기업체인 IPTN 사장을 거쳐, 현 과학기술처 장관과 함께 국가 연구위원회, 기술평가 적용위원회, 전략산업위원회 의장을 역임하고 있다.

Nanostructure composite ZnFe2O4–FeFe2O4–ZnO immobilized on glass: Photocatalytic activity for degradation of an azo textile dye F3B

Mohammad Hossein Habibi,Amir Hossein Habibi 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.1

An efficient and scalable one-pot synthetic method to prepare nanostructure composite of ZnFe2O4–FeFe2O4–ZnO (ZFZ) has been investigated. This method is based on thermal decomposition of iron(III)acetate and zinc acetate in monoethanolamine (MEA) as a capping agent. Moreover, thermogravimetricanalysis (TG-DTG) was performed to determine the temperature at which the decomposition andoxidation of the chelating agents took place. ZFZ was immobilized on glass using doctor blade methodand calcinated at different temperatures. The properties of the ZFZ nanocomposite have been examinedby different techniques, such as X-ray diffraction (XRD), field emission scanning electron microscopy(FESEM) and diffuse reflectance (DRS). FESEM shows that nanocomposite is monocrystallines and anarrow dispersion in size of 48 nm. XRD confirms that the prepared nanocomposite is composed offranklinite, ZnFe2O4 (54%), magnetite, FeFe2O4 (8%) and wurtzite, ZnO (48%). Photocatalytic activity ofZFZ immobilized on glass was carried out by choosing an azo textile dye, Reactive Red 195 (F3B) as amodel pollutant under UV irradiation with homemade photocatalytic apparatus and the resultsindicated that ZFZ exhibited good photocatalytic activity.

Preparation of nanostructure mixed copper-zinc oxide via co-precipitation rout for dye-sensitized solar cells: The influence of blocking layer and Co(II)/Co(III) complex redox shuttle

Mohammad Hossein Habibi,Bahareh Karimi,Mahmoud Zendehdel,Mehdi Habibi 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.4

Mixed copper-zinc oxide nanostructures (average size 43 nm) were effectively fabricated via coprecipitation route. Field-emission scanning electron microscope (FESEM), powder X-ray diffraction (XRD), fourier-transform infrared spectroscopy (FT-IR) and UV–vis diffuse reflectance spectrum (DRS) were used to characterize the properties of the oxides. At the optimized condition, copper-zinc oxide nanostructures were used for fabrication of working electrodes by doctor blade technique on the fluorine-doped tin oxide (FTO) in dye sensitized solar cells. Their photovoltaic behavior were compared with standard using D35 dye and an electrolyte containing [Co(bpy)3](PF6)2, [Co(pby)3](PF6)3, LiClO4, and 4-tert-butylpyridine (TBP). The ranges of short-circuit current (Jsc) from 0.13 to 0.30 (mA/cm2), open-circuit voltage (Voc) from 0.20 to 0.51 V, and fill factor from 0.34 to 0.29 were obtained for the DSSCs made using the working electrodes. A titania blocking layer on the copper-zinc oxide surface improve both the open-circuit voltage (Voc), short-circuit current (Jsc) and the power-conversion efficiency is consequently enhanced by a factor of approximately five.

Photocatalytic degradation of Brilliant Red M5B using four different nanocomposites (ZnFe2O4, porous ZnFe2O4, ZnFe2O4–TiO2, FeTiO3) coated on glass

Mohammad Hossein Habibi,Amir Hossein Habibi 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.5

This paper presents the preparation, characterization, and application of four different nanocomposites in photocatalytic degradation of the Brilliant Red M5B as a dye contaminant. Nanocomposites include ZnFe2O4, porous ZnFe2O4, ZnFe2O4–TiO2, and FeTiO3 prepared and coated on a glass slide by doctor blade method. Different techniques to characterize composites are X-ray diffraction (XRD), field emission scanning electron microscopy (FESEM) and diffuse reflectance spectra (DRS). FESEM shows that nanocomposites are nanocrystallines and a narrow dispersion in size. XRD confirms that the prepared nanocomposites are composed of ZnFe2O4, FeTiO3 and TiO2. Degradation efficiency of composites is evaluated using Brilliant Red M5B as a model pollutant under UV irradiation with homemade photocatalytic apparatus. The results showed that the photocatalytic efficiency of ZnFe2O4–TiO2 is higher than that of other photocatalyst, which is mainly ascribed to ZnFe2O4 NPs with the spinel structure.

Prediction Partial Molar Heat Capacity at Infinite Dilution for Aqueous Solutions of Various Polar Aromatic Compounds over a Wide Range of Conditions Using Artificial Neural Networks

Habibi-Yangjeh, Aziz,Esmailian, Mahdi Korean Chemical Society 2007 Bulletin of the Korean Chemical Society Vol.28 No.9

Artificial neural networks (ANNs), for a first time, were successfully developed for the prediction partial molar heat capacity of aqueous solutions at infinite dilution for various polar aromatic compounds over wide range of temperatures (303.55-623.20 K) and pressures (0.1-30.2 MPa). Two three-layered feed forward ANNs with back-propagation of error were generated using three (the heat capacity in T = 303.55 K and P = 0.1 MPa, temperature and pressure) and six parameters (four theoretical descriptors, temperature and pressure) as inputs and its output is partial molar heat capacity at infinite dilution. It was found that properly selected and trained neural networks could fairly represent dependence of the heat capacity on the molecular descriptors, temperature and pressure. Mean percentage deviations (MPD) for prediction set by the models are 4.755 and 4.642, respectively.

Prediction of Solvent Effects on Rate Constant of [2+2] Cycloaddition Reaction of Diethyl Azodicarboxylate with Ethyl Vinyl Ether Using Artificial Neural Networks

Habibi-Yangjeh, Aziz,Nooshyar, Mahdi Korean Chemical Society 2005 Bulletin of the Korean Chemical Society Vol.26 No.1

Artificial neural networks (ANNs), for a first time, were successfully developed for the modeling and prediction of solvent effects on rate constant of [2+2] cycloaddition reaction of diethyl azodicarboxylate with ethyl vinyl ether in various solvents with diverse chemical structures using quantitative structure-activity relationship. The most positive charge of hydrogen atom (q$^+$), dipole moment ($\mu$), the Hildebrand solubility parameter (${\delta}_H^2$) and total charges in molecule (q$_t$) are inputs and output of ANN is log k$_2$ . For evaluation of the predictive power of the generated ANN, the optimized network with 68 various solvents as training set was used to predict log k$_2$ of the reaction in 16 solvents in the prediction set. The results obtained using ANN was compared with the experimental values as well as with those obtained using multi-parameter linear regression (MLR) model and showed superiority of the ANN model over the regression model. Mean square error (MSE) of 0.0806 for the prediction set by MLR model should be compared with the value of 0.0275 for ANN model. These improvements are due to the fact that the reaction rate constant shows non-linear correlations with the descriptors.

Prediction Acidity Constant of Various Benzoic Acids and Phenols in Water Using Linear and Nonlinear QSPR Models

Habibi Yangjeh, Aziz,Danandeh Jenagharad, Mohammad,Nooshyar, Mahdi Korean Chemical Society 2005 Bulletin of the Korean Chemical Society Vol.26 No.12

An artificial neural network (ANN) is successfully presented for prediction acidity constant (pKa) of various benzoic acids and phenols with diverse chemical structures using a nonlinear quantitative structure-property relationship. A three-layered feed forward ANN with back-propagation of error was generated using six molecular descriptors appearing in the multi-parameter linear regression (MLR) model. The polarizability term $(\pi_1)$, most positive charge of acidic hydrogen atom $(q^+)$, molecular weight (MW), most negative charge of the acidic oxygen atom $(q^-)$, the hydrogen-bond accepting ability $(\epsilon_B)$ and partial charge weighted topological electronic (PCWTE) descriptors are inputs and its output is pKa. It was found that properly selected and trained neural network with 205 compounds could fairly represent dependence of the acidity constant on molecular descriptors. For evaluation of the predictive power of the generated ANN, an optimized network was applied for prediction pKa values of 37 compounds in the prediction set, which were not used in the optimization procedure. Squared correlation coefficient $(R^2)$ and root mean square error (RMSE) of 0.9147 and 0.9388 for prediction set by the MLR model should be compared with the values of 0.9939 and 0.2575 by the ANN model. These improvements are due to the fact that acidity constant of benzoic acids and phenols in water shows nonlinear correlations with the molecular descriptors.

Practical relations to quantify the amount of damage of SWRCFs using pushover analysis

Habibi, Ali Reza,Samadi, Mohammad,Izadpanah, Mehdi Techno-Press 2020 Advances in concrete construction Vol.10 No.3

Quantifying the amount of damage of structures under earthquakes is an interesting issue that researchers have attended on and have presented some damage indices. Whereas a lot of damage indices have been introduced based on nonlinear dynamic analysis, computational effort, the calculus complicacy and time-consuming of this analysis are the main drawbacks to widespread use of these indices. The objective of this study is to quantify the damage of Shear Wall Reinforced Concrete Frames (SWRCFs) based on pushover analysis as a procedure that can reflect the behavior of structures from elastic to collapse. For this purpose, firstly, several SWRCFs are designed and the capacity spectrum of each one is achieved via pushover analysis. After that, the static damage indices of the designed frames are obtained. Then, nonlinear dynamic analyses are performed on these frames and the Park and Ang damage index as the basis damage criterion is achieved. Afterward, some relations are presented to predict the dynamic damage of these frames via pushover analysis. Eventually, to confirm the validity of the proposed relations, the values of Park and Ang damage index of three new SWRCFs are acquired once utilizing nonlinear dynamic analysis and again applying the introduced relations. Outcomes prove the validity of some presented damage indices.

Evaluation of moment amplification factors for RCMRFs designed based on Iranian national building code

Habibi, Alireza,Izadpanah, Mehdi,Rohani, Sina Techno-Press 2020 Advances in concrete construction Vol.9 No.1

Geometric nonlinearity can significantly affect load-carrying capacity of slender columns. Dependence of structural stability on columns necessitates the consideration of second-order effects in the design process of columns, appropriately. On the whole, the design codes present a simplified procedure for second order analysis of slender columns. In this approximate method, the end moments of columns resulted from linear analysis (first-order) are multiplied by the recommended moment amplification factors of codes to achieve magnified moments of the second-order analysis. In the other approach, the equilibrium equations are directly solved for the deformed configuration of structure, so the resulting moments and deflections contain the influence of slenderness and increase more rapidly than do loads. The aim of this study is to evaluate the accuracy of moment amplification factors of Iranian national building code whose provisions are similar to the ACI requirement. Herein, finite element method is used to achieve magnified end moments of reinforced concrete moment resisting frames, and the outcomes are compared with the moments acquired based on the proposed approximate method by Iranian national building code. The results show that the approximate method of Iranian code for calculating magnified moments has significant errors for both unbraced and braced columns.