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| 1 | Effects of Al_2O_3 nanoparticles on properties of self compacting concrete with ground granulated blast furnace slag (GGBFS) as binder显示文摘In this work,strength assessments and percentage of water absorption of self compacting concrete containing ground granu-lated blast furnace slag (GGBFS) and Al2O3 nanoparticles as binder have been investigated.Portland cement was replaced by different amounts of GGBFS and the properties of concrete specimens were investigated.Although it negatively impacts the physical and mechanical properties of concrete at early ages of curing,GGBFS was found to improve the physical and me-chanical properties of concrete up to 45 wt% at later ages.Al2O3 nanoparticles with the average particle size of 15 nm were added partially to concrete with the optimum content of GGBFS and physical and mechanical properties of the specimens were measured.Al2O3 nanoparticle as a partial replacement of cement up to 3.0 wt% could accelerate C-S-H gel formation as a re-sult of increased crystalline Ca(OH)2 amount at the early ages and hence increase strength and improve the resistance to water permeability of concrete specimens.The increase of the Al2O3 nanoparticles’ content by more than 3.0 wt% would cause the reduction of the strength because of the decreased crystalline Ca(OH)2 content required for C-S-H gel formation.Several em-pirical relationships have been presented to predict flexural and split tensile strength of the specimens by means of the corre-sponding compressive strength at a certain age of curing.Accelerated peak appearance in conduction calorimetry tests,more weight loss in thermogravimetric analysis and more rapid appearance of the peaks related to hydrated products in X-ray dif-fraction results,all indicate that Al2O3 nanoparticles could improve mechanical and physical properties of the concrete speci-mens. | Ali NAZARI Shadi RIAHI | 2011 | Science China(Technological Sciences)2011，54，9： | 9 |
| 2 | Computer-aided design of the effects of Cr_2O_3 nanoparticles on split tensile strength and water permeability of high strength concrete显示文摘In the present paper, two models based on artificial neural networks and genetic programming for predicting split tensile strength and percentage of water absorption of concretes containing Cr2O3 nanoparticles have been developed at different ages of curing. For purpose of building these models, training and testing using experimental results for 144 specimens produced with 16 different mixture proportions were conducted. The data used in the multilayer feed forward neural networks models and input variables of genetic programming models are arranged in a format of 8 input parameters that cover the cement content, nanoparticle content, aggregate type, water content, the amount of superplasticizer, the type of curing medium, age of curing and number of testing try. According to these input parameters, in the neural networks and genetic programming models the split tensile strength and percentage of water absorption values of concretes containing Cr2O3 nanoparticles were predicted. The training and testing results in the neural network and genetic programming models have shown that every two models have strong potential for predicting the split tensile strength and percentage of water absorption values of concretes containing Cr2O3 nanoparticles. It has been found that NN and GEP models will be valid within the ranges of variables. In neural networks model, as the training and testing ended when minimum error norm of network was gained, the best results were obtained and in genetic programming model, when 4 genes were selected to construct the model, the best results were acquired. Although neural network has predicted better results, genetic programming is able to predict reasonable values with a simpler method rather than neural network. | Ali NAZARI Shadi RIAHI | 2011 | Science China(Technological Sciences)2011，54，3： | 7 |
| 3 | TiO_2 nanoparticles' effects on properties of concrete using ground granulated blast furnace slag as binder显示文摘In the present study,compressive strength,pore structure,thermal behavior and microstructure characteristics of concrete containing ground granulated blast furnace slag and TiO2 nanoparticles as binder were investigated.Portland cement was replaced by different amounts of ground granulated blast furnace slag and the properties of concrete specimens were investigated.Although it negatively impacts the properties of concrete at early ages,ground granulated blast furnace slag up to 45 wt% was found to improve the physical and mechanical properties of concrete at later ages.TiO2 nanoparticles with the average particle size of 15 nm were partially added to concrete with the optimum content of ground granulated blast furnace slag and physical and mechanical properties of the specimens were measured.TiO2 nanoparticle as a partial replacement of cement up to 3 wt% could accelerate C-S-H gel formation as a result of increased crystalline Ca(OH)2 amount at the early age of hydration and hence increase compressive strength of concrete.The increased TiO2 nanoparticles' content of more than 3 wt% may cause reduced compressive strength because of the decreased crystalline Ca(OH)2 content required for C-S-H gel formation and unsuitable dispersed nanoparticles in the concrete matrix.TiO2 nanoparticles could improve the pore structure of concrete and shift the distributed pores to harmless and less-harm pores. | NAZARI Ali RIAHI Shadi | 2011 | Science China(Technological Sciences)2011，54，11： | 7 |
| 4 | Application of a collaborative modelling and strategic fuzzy decision support system for selecting appropriate resilience strategies for seaport operations显示文摘The selection of an appropriate resilience investment strategy to optimize the operational efficiency of a seaport is a challenging task given that many criteria need to be considered and modelled under an uncertain environment.The design of such a complex decision system consists of many subjective and imprecise parameters contained in different quantitative and qualitative forms.This paper proposes a fuzzy multi-attribute decision making methodology for the selection of an appropriate resilience investment strategy in a succinct and straightforward manner.The decision support model allows for a collaborative modelling of the system by multiple analysts in a group decision making process.Fuzzy analytical hierarchy process(FAHP) was utilized to analyse the complex structure of the system to obtain the weights of all the criteria while fuzzy technique for order of preference by similarity to ideal solution(TOPSIS) was employed to facilitate the ranking process of the resilience strategies.Given that it is often financially difficult to invest in all the resilience strategies,it is envisaged that the proposed approach could provide decision makers with a flexible and transparent tool for selecting appropriate resilience strategies aimed at increasing the resilience of seaport operations. | Andrew John Zaili Yang Ramin Riahi Jin Wang | 2014 | Journal of Traffic and Transportation Engineering(English Edition)2014，1，3： | 6 |
| 5 | A roadmap for security challenges in the Internet of Things显示文摘 | Arbia Riahi Sfar Enrico Natalizio Yacine Challal Zied Chtourou | 2018 | Digital Communications and Networks2018，4，2： | 5 |
| 6 | 基于退化状态确定旋转设备剩余使用寿命的模型显示文摘状态评估是设备健康管理的重要技术之一。PHM方法周期是CBM的一种发展形式,而条件评估是其中最重要的步骤。本文结合传感器信息、降解状态的确定和健康指标的预测,计算了设备的剩余使用寿命。利用一种确定Demster-Shafer组合规则概率的新方法和模糊c均值聚类方法对传感器信息进行组合。利用自回归马尔可夫状态转换(ARMR)方法对提取的基于振动的健康指数进行模拟和预测,确定最终的健康状态,估计剩余寿命(RUL)。为了对模型进行评价,使用了FEMTO-ST研究所提供的传感器数据。 | Saeed RAMEZANI Alireza MOINI Mohamad RIAHI Adolfo Crespo MARQUEZ | 2020 | Journal of Central South University2020，27，8： | 3 |
| 7 | Compressive strength and abrasion resistance of concrete containing SiO_2 and CuO nanoparticles in different curing media显示文摘In the present study,abrasion resistance and compressive strength of concrete specimens containing SiO2 and CuO nanoparticles in different curing media have been investigated.Portland cement was partially replaced by up to 2.0 wt%of SiO2 and CuO nanoparticles and the mechanical properties of the produced specimens were measured.Increasing the nanoparticles content was found to increase the abrasion resistance of the specimens cured in water and saturated limewater,while this condition was not observed for compressive strength in the both curing media.The enhancement of abrasion resistance was higher for the specimens containing SiO2 nanoparticles in both curing media.Since abrasion resistance and compressive strength of the specimens followed a similar regime as the nanoparticles increased for the specimens cured in saturated limewater,some experimental relationships has been presented to correlate these two properties of concrete for this curing medium.On the whole,it has been concluded that the abrasion resistance of concrete does not only depend on the corresponding compressive strength. | Shadi RIAHI Ali NAZARI | 2011 | Science China(Technological Sciences)2011，54，9： | 3 |
| 8 | Characterization of porous Ti-bioglass composite produced by mechanical milling and space holder sintering显示文摘In this study, porous titanium-10 wt% bioglass(BG) composites were fabricated by the process of combining mechanical alloying with space holder sintering. The pore morphology and phase constituents of the milled powders and porous compacts were characterized by scanning electron microscopy(SEM), X-ray diffractometry(XRD), and Fourier transform infrared spectroscopy(FT-IR). The mechanical properties were determined by running compression test. The porosity of the sintered samples shows a downward trend with the increase of milling time. As the porosity increases, both the compressive strength and elastic modulus decrease. The results illustrate that the fabricated porous compacts with high porosity and suitable mechanical properties have the potential application in bone tissue engineering. | Saeed Riahi Mohammad Rajabi Sayed Mahmood Rabiee | 2015 | Rare Metals2015，34，9： | 3 |
| 9 | Effects of CuO Nanoparticles on Microstructure,Physical,Mechanical and Thermal Properties of Self-Compacting Cementitious Composites显示文摘In the present study,split tensile strength of self-compacting concrete with different amount of CuO nanoparticles has been investigated.CuO nanoparticles with the average particle size of 15 nm were added partially to self compacting concrete and split tensile strength of the specimens has been measured.The results indicate that CuO nanoparticles are able to improve the split tensile strength of self compacting concrete and recover the negative effects of polycarboxylate superplasticizer on split tensile strength.CuO nanoparticle as a partial replacement of cement up to 4 wt% could accelerate C-S-H gel formation as a result of increased crystalline Ca(OH)2 amount at the early ages of hydration.The increase of the CuO nanoparticles more than 4 wt% causes the decrease of the split tensile strength because of unsuitable dispersion of nanoparticles in the concrete matrix.Accelerated peak appearance in conduction calorimetry tests,more weight loss in thermogravimetric analysis and more rapid appearance of related peaks to hydrated products in X-ray diffraction(XRD) results all also indicate that CuO nanoparticles up to4 wt% could improve the mechanical and physical properties of the specimens.Finally,CuO nanoparticles could improve the pore structure of concrete and shift the distributed pores to harmless and few-harm pores. | Ali Nazari Shadi Riahi | 2011 | Journal of Materials Science & Technology2011，27，1： | 2 |
| 10 | Combination of sensitivity and uncertainty analyses for sediment transport modeling in sewer pipes显示文摘Mitigation of sediment deposition in lined open channels is an essential issue in hydraulic engineering practice.Hence,the limiting velocity should be determined to keep the channel bottom clean from sediment deposits.Recently,sediment transport modeling using various artificial intelligence(AI)techniques has attracted the interest of many researchers.The current integrated study highlights unique insight for modeling of sediment transport in sewer and urban drainage systems.A novel methodology based on the combination of sensitivity and uncertainty analyses with a machine learning technique is proposed as a tool for selection of the best input combination for modeling process at non-deposition conditions of sediment transport.Utilizing one to seven dimensionless parameters,127 models are developed in the current study.In order to evaluate the different parameter combinations and select the training and testing data,four strategies are considered.Considering the densimetric Froude number(Fr)as the dependent parameter,a model with independent parameters of volumetric sediment concentration(CV)and relative particle size(d/R)gave the best results with a mean absolute relative error(MARE)of 0.1 and a root means square error(RMSE)of 0.67.Uncertainty analysis is applied with a machine learning technique to investigate the credibility of the proposed methods.The percentage of the observed sample data bracketed by 95%predicted uncertainty bound(95PPU)is computed to assess the uncertainty of the best models. | Isa Ebtehaj Hossein Bonakdari Mir Jafar Sadegh Safari Bahram Gharabaghi Amir Hossein Zaji Hossien Riahi Madavar Zohreh Sheikh Khozani Mohammad Sadegh Es-haghi Aydin Shishegaran Ali Danandeh Mehr | 2020 | International Journal of Sediment Research2020，35，2： | 2 |
| 11 | Microstructural,Thermal,Physical and Mechanical Behavior of the Self-compacting Concrete Con-taining Si02 Nanoparticles显示文摘 | AH Nazari Shadi Riahi | 2012 | Materials Science and Engineerir2012，527，30： | 1 |
| 12 | The roles of hyperglycaemia and oxidative stress in the rise and collapse of the natural protective mechanism against vascular endothelial cell dysfunction in diabetes显示文摘 | G. Cohen Y. Riahi E. Alpert A. Gruzman S. Sasson | 2007 | Archives of Physiology and Biochemistry (-)2007，，4： | 1 |
| 13 | Interaction of taxol with human serum albumin显示文摘 | PURCELL M NEAULT J F RIAHI T | 2000 | Biochem Biophys Acta2000，1478，1： | 1 |
| 14 | Mitigation implications of mideentury targets that preserve long-term climate policy options显示文摘 | O'Neill B C Riahi K Keppo I | 2010 | Proceedings of the National Academy of Sciences of the United States of America2010，107，3： | 1 |
| 15 | Application ofgenetic algorithm-support vector machine(GA-SVM)for prediction ofBK-channels activity显示文摘 | POURBASHEER E RIAHI S GANJALI M R | 2009 | European Journal of Medicinal Chemis-try2009，44，12： | 1 |
| 16 | Retrograde access of the left atrium for pulmonary vein isolation using magnetic navigation after closure of an atrial septum defect显示文摘 | De Roeck L Riahi L Wijchers S | 2015 | Neth Heart J2015，23，78： | 1 |
| 17 | Stability for Ekeland'sε-vail ational Principle and Cone Extremal Solutions显示文摘 | ATTOUCH H RIAHI H | 1993 | Mathe matics of Operations Resereh1993，18，： | 1 |
| 18 | Voriconazole - Associated Phototoxicity 显示文摘 | Ryan R Riahi B S Philip R Cohen M D | 2011 | Dermatology Online Journal2011，17，2： | 1 |
| 19 | The role of tribo-layers on the sliding wear behavior of graphitic aluminum matrix composites 显示文摘 | Riahi A R Alpas A T | 2001 | Wear2001，251，： | 1 |
| 20 | Intellectual capital and firm performance of US multinational firms显示文摘 | Ahmed Riahi - Belkaoui | 2003 | Journal of Intellectual Capital2003，4，2： | 1 |
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