The economic and management use of rhododendron petals in potas-sium-ion nano batteries anode via efficient computer simulation

Dai, Wensheng,Zand, Yousef,Agdas, Alireza Sadighi,Selmi, Abdellatif,Roco-Videla, Angel,Wakil, Karzan,Issakhov, Alibek Techno-Press 2021 Advances in nano research Vol.10 No.6

Nano batteries are manufactured batteries which use nanoscale technology, small particles measuring less than 100 nanometers or 10-7 meters. In addition, because of plentiful potassium supplies and less cost, potassium-ion batteries (PIBs) are taken as possible substitutes for lithium-ion batteries for massive energy storing systems. Our modern lifestyle could be totally different without rechargeable batteries. Regarding their economic and management usage, these batteries are applied in electric and hybrid vehicles, devices, and renewable power generation systems. Accordingly, regarding the huge K ion radius, it is a difficult process for identifying relevant materials with excellent cycling stability and capacity. At present, the production of suitable anode materials with high specific capacities, long cycle life and low costs for PIBs remains a major challenge. Also, the continuing improvement in defining future electors, the manufacture of PIBs has been complicated by multiple challenges, namely low reversible performance, insufficient cycling stability and poor energy density, all of which have created important doubts for the effective implications of PIBs. Nano-particles have shown various advantages for enhanced energy and power density, cyclability and safety when it comes to designing and producing electrode materials via efficient computer simulation. In combination with large volume expansion, slow reaction kinetics, and low electrical conductivity the main cause for the degradation of SnO₂ reaction reversibility and power decay observed are not as obvious as those of Lithium-ion batteries (LIBs) as anodes of sodium-ion batteries (SIBs), and potassium-ion batteries (KIBs).

On the optimization of building energy, material, and economic management using soft computing

Wei, Zhao,Zandi, Yousef,Gholizadeh, Morteza,Selmi, Abdellatif,Roco-Videla, Angel,Konbr, Usama Techno-Press 2021 Advances in concrete construction Vol.11 No.6

This paper provides energy and economic analysis relevant to the cooling season in building enclosures. For a whole year, an Energy Plus thermal transfer model has been created and simulated. Simulations were made from the cities in five different areas of climate in China using weather data files. Energy savings were done from natural cold (e.g., outdoor air), and electricity reductions were performed from air-conditioning electricity devices. This research has investigated the relationship between the cost and building energy while finding a strong and positive correlation. This study has used the Artificial Intelligence (AI) model as Extreme Learning Machine (ELM) and Teaching Learning Based Optimization (TLBO) to calculate the accurate measurement. Three regression models as Pearson correlation coefficient (r), root mean square (RMSE), and coefficient of determination (R²) was used to calculate the results. Following the results of (R²) and RMSE, ELM has shown its higher performance in predicting the strength, energy, and cost of building materials. Based on the simulation results, for office buildings situated in cold areas, the energy savings resulting from phase change materials (PCM) are more prevalent. The test findings demonstrate that the energy savings from PCM applications for the cool area and hot summers and cold winter office buildings were increased. Simple payback time indicated that PCMBs in inhabited buildings could be used cost-effectively in a mild temperature environment.

Nano-SiO₂ for efficiency of geotechnical properties of fine soils in mining and civil engineering

Yanzhen, Qiao,Zandi, Yousef,Rahimi, Abouzar,Pourkhorshidi, Sara,Roco-Videla, Angel,Khadimallah, Mohamed Amin,Jameel, Mohammed,Kasehchi, Ehsan,Assilzadeh, Hamid Techno-Press 2021 Advances in nano research Vol.11 No.3

Taking into account the decreased number of available lands, the construction of structures on soft soil leads towards the development of soil stabilizing models. This study is aimed at studying the decrement of land resources available, and the design of civil engineering structures on soft soils that will develop the soil impact of nano-SiO₂ in the use of clay soil with low liquid limit, in particular shear resistance and unconfined compression. A novel nano-soil stabilizer has been created in this investigation by use of nano-SiO₂ activity and ultrafine features that have enabled cement-based stabilizers to increase their characteristics in broad application possibilities. This research aims to examine the influence on soil engineering, particularly the shear strength of clay soil with a low liquid limit to the effect of adding nano-SiO₂. Nano-SiO₂ has 3 different percentages combined with soil (i.e., 0.5, 0.7 percent by weight of the parent soil), A direct shear test was used to evaluate the shear strength of the specimen, and then the results were analyzed by Artificial Neural Network (ANN) to increase the accuracy of outcomes. Increased nano-SiO₂ concentration was shown to lead to an increased internal friction angle and cohesiveness on clay soil. The optimal content for nano-SiO₂ is 0.7%. ANN could accurately demonstrate the shear strength percentages in nano-SiO₂ content.

The compressive strength of concrete retrofitted with wind ash and steel slag pozzolans with a water-cement based polymers

Cai, Ting,Zandi, Yousef,Agdas, Alireza Sadighi,Selmi, Abdellatif,Issakhov, Alibek,Roco-Videla, Angel Techno-Press 2021 Advances in concrete construction Vol.11 No.6

Freeze and thaw phenomena in cold regions are the main cause of severe damage to concrete structures. Alkali-activated slag repair mortars, which are introduced as a suitable material for the replacement of Portland cement, can be used as the protective coating for these damaged structures. The mechanical properties and durability of this coating layer should be studied. In this study, the mechanical properties and durability of alkali-activated slag repair mortars with silica fume (SF) participation as inorganic additives against freeze-thaw and salt scaling attacks have been investigated. In order to evaluate the effects of alkaline activators type, the ratio of these solutions to Pozzolan (Pozz), and the use of SF as a substitute base material, these three factors were considered as the main variables to produce 12 alkali-activated slag mortar mixtures. To investigate their mechanical properties, compressive strength, tensile adhesion strength, and drying shrinkage tests were conducted. Also, mortar specimen length change, compressive strength loss, weight loss, and dynamic elastic modulus were measured to evaluate the durability features against freeze-thaw and salt scaling attacks. According to the results, in addition to higher compressive strength and adhesion resistance of alkali-activated slag repair mortars, these mortars showed at least 30% better durability against freeze-thaw and salt scaling attacks than cement-based repair mortar. Also, alkali-activated slag mixtures containing potassium hydroxide, alkaline solution (AS) to Pozz ratio of 0.7, and SF had the best mechanical properties and frost resistance among all mixtures.

Economic construction management of composite beam using the head stud shear connector with encased cold-formed steel built-up fix beam via efficient computer simulation

Yin, Jinzhao,Tong, Huizhi,Gholizadeh, Morteza,Zandi, Yousef,Selmi, Abdellatif,Roco-Videla, Angel,Issakhov, Alibek Techno-Press 2021 Advances in concrete construction Vol.11 No.5

With regard to economic efficiency, composite fix beams are widely used to pass longitudinal shear forces across the interface. The current knowledge of the composite beam load-slip activity and shear capability are restricted to data from measurements of push-off. Modelling and analysis of the composite beams based on Euro-code 4 regarding to shear, bending, and deflection under differing loads were carried out using Finite Element through an efficient computer simulation and the final loading and sections capacity based on the failure modes was analysed. In bending, the section potential was increased by an improvement of the strength in both steel and concrete, but the flexural and compressive resistance growth is very weak (3.2% 3.1% and 3.0%), while the strength of the concrete has increased respectively from 25 N/mm² to 30, 35, and 40 N/mm² compared to the increment of steel strength by 27% and 21% when it was raised from 275 to 355 and 460 N/mm², respectively. It was found that the final flexural load capacity of fix beams was declined with increase in the fix beam span for both three steel strength. The shear capacity of sections was remained unchanged at constant steel strength and different length, but raised with final yield strength increment of steel sections by 29%, and 67% when it was raised from 275 N/mm² to 355 N/mm² and 460 N/mm², respectively.

Optimization algorithms for composite beam as smart active control of structures using genetic algorithms

Yan Cao,Yousef Zandi,Morteza Gholizadeh,Leijie Fu,Jiang Du,Xueming Qian,Zhijie Wang,Angel Roco-Videla,Abdellatif Selmi,Alibek Issakhov 국제구조공학회 2021 Smart Structures and Systems, An International Jou Vol.27 No.6

The principles of productive active and semi-active civil and infrastructure engineering structural control date back 40 years and significant progress has been recorded in those four decades. Smart structures typically have some control systems that enable them to deal with perturbations. The active vibration management techniques have been applied numerically and experimentally in order to reduce the vibrational levels of lightweight economic composite structures. Smart composite beams and plates have been produced and tested with surface-based piezoelectric sensors and actuators. It has been found that an effective model of smart composite plates can predict the dynamic characteristics. Utilizing Genetic Algorithm (GA) was designed and implemented. Two regression model as root mean square (RMSE) and determination coefficient (R²) were used. The first and second bending modes are operated effectively by a beam, and simultaneous vibration levels are significantly reduced for the conductive plates by the simultaneous operation of the bending and twisting modes. Vibration management is realized by using efficient control. GA could show better performance for managing linear feedback laws under given assumptions.

Influence of crack on the permeability of plastic concrete

Yongqiang He,Rayed Alyousef,Abdulaziz Alaskar,Hisham Alabduljabbar,Abdeliazim Mustafa Mohamed,Nelson Maureira-Carsalade,Angel Roco-Videla,Alibek Issakhov,Hamid Assilzadeh 국제구조공학회 2021 Smart Structures and Systems, An International Jou Vol.27 No.5

This study examined the relations between permeability of the concrete due to addition of new cracks. The different concrete types analyzed were standard concrete, reinforced steel fiber concrete, and reinforced concrete polypropylene fiber. In consideration of the improved polypropylene content of polypropylene fiber reinforced concrete, the crack diameter was decreased by 72-93% for up to 0.25% fiber and cracks were eliminated with 0.3% fiber inclusion. In terms of steel fiberreinforced concrete, the results showed that steel reinforcing macro fibers decrease the permeability of cracked concrete at wider crack widths. While the permeability of unreinforced concrete was the highest, 0.5% steel content resulted in lower permeability while a higher steel content concrete with 1% steel had the lowest permeability. Crack stitching phenomenon and the effect of multiple cracks may be attributed to the decrease in the permeability. With respect to normal concrete, the findings showed the crack opening displacement at the highest tension is less than 20 microns. At this loading stage, after unloading, around 80% of the displacement is restored and the residual crack opening is notably small, indicating the low impact of cracking on concrete permeability (CP) and showing that CP was increased with crack width. As a result, adding polypropylene aggregate to concrete could significantly reduce the width of crack, while adding steel fiber to concrete reduces the permeability of cracked concrete compared to normal concrete which may result in a minor crack on CP.

A review study of application of artificial intelligence in construction management and composite beams

Yan Cao,Yousef Zandi,Alireza Sadighi Agdas,Qiangfeng Wang,Xueming Qian,Leijie Fu,Karzan Wakil,Abdellatif Selmi,Alibek Issakhov,Angel Roco-Videla 국제구조공학회 2021 Steel and Composite Structures, An International J Vol.39 No.6

This paper is aimed to review the use of artificial intelligence (AI) algorithms in diverse civil engineering applications such as predicting and evaluating the different parameters of composite beams and shear connectors and determining the compressive strength of concrete. Also, the application of AI methods especially artificial neural network (ANN) in construction engineering and management including prediction and estimation, decision-making, classification or selection, optimization and risk analysis and safety has been thoroughly discussed. Furthermore, the integration of Artificial Neural network (ANN) with other soft computing methods, such as Backpropagation (BP), imperialist competitive algorithm (ICA), support vector regression (SVR), back-propagation neural network (BPNN), Genetic Algorithms (GA) and Multilayer feed forward (MLFF) has been reviewed. It has been reported that the combination of ANN with other intelligence algorithms leads to providing more accurate results. Moreover, the performance of ANN with other soft computing techniques, such as BP, BPNN, SVR, GA, ICA, and MLFF in various fields has been compared and ANN in many cases had superiority over other models.