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  • List of Articles


      • Open Access Article

        1 - Earthquake Risk Analysis in Azerbaijan Region Using Neural Network Method
        Sayyed javad Sayyedfattahi Rouzbeh Dabiri Milad Farshbaf Khalili
        In this research, earthquake prediction and hazard risk analysis in Azerbaijan region have been done using neural network method. The forecasting approach is based on the use of artificial intelligence based on seismic data from previous times over a period of 100 years More
        In this research, earthquake prediction and hazard risk analysis in Azerbaijan region have been done using neural network method. The forecasting approach is based on the use of artificial intelligence based on seismic data from previous times over a period of 100 years. Five characteristics of an earthquake event are extracted from data from previous years. The earthquake prediction model is based on five selected features with three different algorithms with feed forward neural network. Validation results indicate the high ability of the model to predict earthquakes in the study area. The results of the created models have been used to analyze the risk in the region of Azerbaijan. According to the obtained results, the region of Azerbaijan is prone to high earthquakes, which necessitates strict observance of standards in the construction of buildings. The results of the present study show that the Bayesian algorithm has the best performance in predicting earthquake risk. Manuscript profile
      • Open Access Article

        2 - Investigation of Excavation Behavior of Construction Reinforced with Soil Nailing in Cohesive and Non-Cohesive Soils
        Mohammad Najafi Salehi Sina Fard Moradinia Rouzbeh Dabiri
        Today, heavy traffic and urban transportation problems are the most important problems of big cities. It seems that one of the best ways to reduce these problems is to use underground transportation and urban tunnels. Geotechnical studies are important factors in determ More
        Today, heavy traffic and urban transportation problems are the most important problems of big cities. It seems that one of the best ways to reduce these problems is to use underground transportation and urban tunnels. Geotechnical studies are important factors in determining the type, shape and cost of construction of underground structures. In other words, their type, design and construction depend on geological and geotechnical conditions. It should be noted that in many cases there is no suitable land for underground excavations for the construction of underground structures, according to which urban stations must be built within a certain range and it is not possible to change their route to achieve more suitable land. In this research, with the help of PLAXIS software, the wall cavity variable at the northern entrance of Tehran Metro Station No. 6 has been investigated. The effect of soil variables (Mohr-Columb modulus variables), building variables (building width, building distance) and pit variables (pit width and depth) have been investigated. The results showed that the displacement in the longitudinal direction of the pit wall in the consolidation analysis mode increased compared to the amount of displacement in the longitudinal direction of the pit wall in the plastic analysis mode. Also, the maximum internal force is created in the nails of the lower third region. Manuscript profile
      • Open Access Article

        3 - Heat transfer simulation of a four layer of porous radiant air heater under the enthalpy change between gas enthalpy and radiant energy
        Mohammad Mehdi Keshtkar
        This work presents the heat transfer characteristics of a new type of porous radiant air heater that operates on the basis of effective energy conversion method between flowing gas enthalpy and thermal radiation. At each layer, the gas and solid phases are considered in More
        This work presents the heat transfer characteristics of a new type of porous radiant air heater that operates on the basis of effective energy conversion method between flowing gas enthalpy and thermal radiation. At each layer, the gas and solid phases are considered in non-local thermal equilibrium and combustion in the porous radiant burner is modelled by considering a non-uniform heat generation zone. The homogeneous porous media, in addition to its convective heat exchange with the gas, may absorb, emit, and scatter thermal radiation. In order to determine the thermal characteristics of the proposed porous radiant air heater, a two-dimensional model is used to solve the governing equations for porous medium and gas flow and the discrete ordinates method is employed to obtain the distribution of radiative heat flux in the porous media. In order to validate the applied numerical method at the present analysis, the results are compared with some reported theoretical and experimental results by other investigators and good agreement is found. Manuscript profile
      • Open Access Article

        4 - Artificial Intelligence in Standard Localization of Green Buildings in Iran
        Mohamad Rajabi Javad Majrouhi Sardroud Ali Kheyroddin
        Residential buildings consume a major part of energy, soil and natural materials and play a large role in environmental pollution. Energy consumption in Iran is increasing by 270% in the last 20 years. One of the basic solutions to reduce use of fossil fuels, soil and n More
        Residential buildings consume a major part of energy, soil and natural materials and play a large role in environmental pollution. Energy consumption in Iran is increasing by 270% in the last 20 years. One of the basic solutions to reduce use of fossil fuels, soil and natural materials is the implementation of green buildings. Green buildings reduce the use of natural sand and soil and are generally replaced by micro-produced waste from various industries and mines. Unfortunately, unlike many countries in world, Iran does not have a native green standard and most investors do not have information about benefits of this type of building. In this research, using opinions of experts in the first stage to identify the advantages and obstacles of the implementation of green buildings and in the second stage, using 6 green standards of the world, a total of 68 items in 5 seasons of site, water, energy, materials and the quality of the indoor environment. It has been identified for the native green standard in Iran. The results of 103 questionnaires indicate that the lack of knowledge about green buildings is the biggest obstacle and the high potential of renewable energy production is introduced as the biggest necessity for the implementation of green buildings. Also, among the total number of green standard items, the optimal performance of energy consumption and the use of renewable energies have been identified as the most influential parameters. Finally, based on artificial intelligence, the total green standard score has been calculated. Manuscript profile
      • Open Access Article

        5 - Optimization of Hydropower Reservoirs Operation Using Water Cycle Algorithm
        Amir robati
        Given the fact that hydropower energy is the third largest source of electricity generation and also the most important renewable energy producer, the optimal use of the huge and expensive source of water is essential. In this study, water cycle metaheuristic algorithm More
        Given the fact that hydropower energy is the third largest source of electricity generation and also the most important renewable energy producer, the optimal use of the huge and expensive source of water is essential. In this study, water cycle metaheuristic algorithm was used for optimization of the hydropower operation of Jiroft reservoir located in Halilrood basin (south of Iran) for a period of 223 months (from October 2000 to April 2019). After verifying the reliability of the WCA algorithm using several standard benchmark functions, a model was developed for optimal hydropower operation. The results of the algorithm were compared with the results of known metaheuristic algorithm and Imperialist Competitive Algorithm (ICA). The WCA and ICA algorithms were capable to generate energy 7203.29, and 7138.66 MW during the statistical period, respectively. Also, the objective function value for WCA and ICA, was obtained 4.78, 5.82, respectively. The results were indicated high performance of the WCA in optimization of the hydropower operation. Manuscript profile
      • Open Access Article

        6 - Study of Geotechnical Properties of Clay mixed with Geofoam Particles
        Sepehr Saedi Rouzbeh Dabiri Larissa Khodadadi
        Nowadays new materials for improving bearing capacity of soils are widely used. Kind of new materials used in this regard are geosynthetics. Geofoam panel type of geosyntethic materials is useful and alternative for backfill in retaining wall or pavement layers. Main id More
        Nowadays new materials for improving bearing capacity of soils are widely used. Kind of new materials used in this regard are geosynthetics. Geofoam panel type of geosyntethic materials is useful and alternative for backfill in retaining wall or pavement layers. Main idea in this research is study geofoam particles and moisture effects on improvement bearing capacity of clayey soil. Geofoam particles effects on clay in 0.05, 0.1, 0.2, and 0.3% percent were considered. Also, moisture were changed in 10, 12, 14, 16, 18 and 20 percent in specimens. In order to evaluating geofoam particles influence in geotechnical properties of clayey soil some laboratory tests such as compaction, uniaxial strength, direct shear and permeability tests were performed. Results of this study showed that clay specimens with 0.05% geofoam particles along with 14 % water content have optimum geotechnical behavior. As, maximum dry density went up, permeability decreased and shear strength of specimens increased. Manuscript profile
      • Open Access Article

        7 - Meta-heuristic Algorithms for the Tower Crane Planning on the Site
        Roya Amiri Javad Majrouhi Sardroud Vahid Momenaei Kermani
        Research projects show that the desire for intelligent approaches to decision-making at various stages of the construction industry is increasing. Site layout planning is one of the important decision-making processes in the early stages of construction projects, where More
        Research projects show that the desire for intelligent approaches to decision-making at various stages of the construction industry is increasing. Site layout planning is one of the important decision-making processes in the early stages of construction projects, where the location of facilities must be determined within the site. Tower crane is considered as one of the vital and expensive facilities in construction sites. Proper locating of tower crane has a significant impact on the quality, productivity, safety, cost and time of the project. In choosing the location of the tower crane, there are several criteria, including the largest lifting radius and capacity of the tower crane, the type of soil on site, the soil-bearing capacity and the material supply points. Therefore, due to the influence of many factors, tower crane planning is a complex NP-hard optimization problem, which cannot be solved through exact mathematical algorithms as the number of parameters and variables increases. Therefore, it is necessary to define the problem as an optimization problem and integrate it with mathematical modeling to reach the optimal solution. Solving such problems is usually done through metaheuristic algorithms, which belong to the category of approximate algorithms. This study provides a comprehensive review on tower crane planning problem on construction sites using mathematical modeling and metaheuristic algorithms. Based on the findings of this study, research gaps are identified in this field. Therefore, suggestions for future works have been presented in order to solve the shortcomings, which can be the subject of various research articles. Manuscript profile