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Civil Engineering Journal

cej
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Published by C.E.J Publishing Group

ISSN : 24763055 EISSN : 24763055 DOI : -

Core Subject : Engineering,

Civil Engineering, Building, Construction & Architecture

Civil Engineering Journal is a multidisciplinary, an open-access, internationally double-blind peer -reviewed journal concerned with all aspects of civil engineering, which include but are not necessarily restricted to: Building Materials and Structures, Coastal and Harbor Engineering, Constructions Technology, Constructions Management, Road and Bridge Engineering, Renovation of Buildings, Earthquake Engineering, Environmental Engineering, Geotechnical Engineering, Highway Engineering, Hydraulic and Hydraulic Structures, Structural Engineering, Surveying and Geo-Spatial Engineering, Transportation Engineering, Tunnel Engineering, Urban Engineering and Economy, Water Resources Engineering, Urban Drainage.

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Articles 1,848 Documents

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Some New Correlations of Q-Value with Rock Mechanics Parameters in Underground Oil Storage Caverns Fang Lin; Hebing Luan; Yanhua Zeng; Zhibin Zhong
Civil Engineering Journal Vol 3, No 8 (2017): August
Publisher : Salehan Institute of Higher Education

Q-system is a preferred alternative method of rock mass classification for underground oil storage caverns where stable lithological rocks are widely distributed. In this paper, correspondences between important input rock mechanics parameters (friction angle, cohesion, tensile strength, Poisson’s ratio, deformation modulus) and Q values were investigated, thereby bringing convenient to rapidly obtain available parameters when it’s hard to collect measured field data in underground storage projects basically with similar lithology. The proposed correlations were verified through numerical simulation and on-site monitoring measurement. In addition, comparison of different criteria among Q-system and other codes for rock mass classification has been made to help for making a preliminary evaluation of rock mass quality in the practical engineering. Finally, the behaviours of surrounding rock deformations under different Q values were analysed by using FLAC3D code with the calculating parameters suggested in this paper, and the calculation results match well with measured values in situ. Above results will not only guide the construction but also could be relevant to other underground storage engineering under similar geological conditions.

Deformations of R.C.Circular Slabs in Fire Condition Kassem, Abdelraouf Tawfik
Civil Engineering Journal Vol 4, No 4 (2018): April
Publisher : Salehan Institute of Higher Education

Reinforced concrete slabs are elements in direct contact with superimposed loads, having high surface area and small thickness. Such a condition makes slabs highly vulnerable to fire conditions. Fire results in exaggerated deformations in reinforced concrete slabs, as a result of material deterioration and thermal induced stresses. The main objective of this paper is to deeply investigate how circular R.C. slabs, of different configurations, behave in fire condition. That objective has been achieved through finite element modelling. Thermal-structural finite element models have been prepared, using "Ansys". Finite element models used solid elements to model both thermal and structural slab behaviour. Structural loads had been applied, representing slab operational loads, then thermal loads were applied in accordance with ISO 843 fire curve. Outputs in the form of deflection profile and edge rotation have been extracted out of the models to present slab deformations. A parametric study has been conducted to figure out the significance of various parameters such as; slab depth, slenderness ratio, load ratio, and opening size; regarding slab deformations. It was found that deformational behaviour differs significantly for slabs of thickness equal or below 100 mm, than slabs of thickness equal or above 200 mm. On the other hand considerable changes in slabs behaviour take place after 30 minutes of fire exposure for slabs of thickness equals or below 100 mm, while such changes delay till 60 minutes for slabs of thickness equals or above 200 mm.

A Modern Method to Improve of Detecting and Categorizing Mechanism for Micro Seismic Events Data Using Boost Learning System Saeed Ghorbani; Morteza Barari; Mojtaba Hosseini
Civil Engineering Journal Vol 3, No 9 (2017): September
Publisher : Salehan Institute of Higher Education

Various natural disasters such as floods, fires, earthquakes, etc. have affected human life. Detection and classification of large and small earthquakes caused by natural or abnormal events have been always important to Earth scientist. One of the most important research challenges in this field is the lack of an effective method for identifying and categorizing various types of seismic events at less important and important levels. Based on latest achievements of Data Mining international institutions such as Rexer-KDnugget-Gartner and also newest authentic articles, SVM, KNN, C4.5, MLP are from most important and popular and leading classifiers in data world. Therefor in present study, a boost learning system consisting support vector machine algorithms with linear regression, MLP Neural Network ، C4.5 decision tree and KNN near neighbourhood have been utilized in a combined form to detect and categorize micro seismic events. In general, the steps involved in the proposed method are: 1) performing artificial seismic tests, 2) data gathering and analysis, 3) conducting pre-processing and separating training and testing samples, 4) generating relevant models with training samples and detecting and clustering test samples and 5) extracting a cluster with the maximum candidate using boost learning. After simulations, it was observed that the accuracy of proposed boost method to the best answer was about 6.1% higher compare to other methods and the error rate was 0.082% of recalling. Accuracy of detection and classification to the best answer were also improved compare to other methods up to 2.31% and 6.34%, respectively.

An Investigation of Local Site Effects Using Linear and Nonlinear analysis and Comparison Between Them Ali Komak Panah; Aylin Nouri
Civil Engineering Journal Vol 2, No 4 (2016): April
Publisher : Salehan Institute of Higher Education

Recent code provisions for building and other structures (1994 and 1997 NEHRP provisions, 1997 UBC) have adopted new site classification. The new site classification system is based on average shear wave velocity to a depth of 30 m. when the shear wave velocity is not available; other soil properties such as undrained shear strength can be used. The study of propagation damages in various earthquakes illustrates the importance of the site effect on the ground seismic characteristics. From the point of the earthquake engineering view, the most important characteristics of the strong ground motion are amplitude, frequency content and duration. All of these properties have a significant effect on earthquake damage. The behavior of soils under cyclic loading is basically nonlinear and hysteretic. Ground response analysis is used to predict the movements of the ground and develop a design response spectrum in order to determine the dynamic stresses and strains and earthquake forces. The profile was studied by using various methods of soil response analysis and finally, the results were examined. In this paper, soil responses were examined by NERA, EERA software and the results compared with each other. Eventually, we concluded that the values obtained from the EERA are more than the value obtained from the NEERA software.

Analysis of Design Indicators of Sustainable Buildings with an Emphasis on Efficiency of Energy Consumption (Energy Efficiency) Damirchi Loo, Leila; Mahdavinejad, Mohammadjavad
Civil Engineering Journal Vol 4, No 4 (2018): April
Publisher : Salehan Institute of Higher Education

Nowadays paying attention to sustainable development issues has been a priority for different countries, due to technological advances and increasing number of problems caused by neglecting the environment. Sustainable development is a new field that considers all the aspects of human life. One of important issues in this area is, considering the energy and efficient energy consumption and reducing the environmental consequences of its consumption. Sustainable design of buildings is also an example of sustainable development. The purpose of this study that has been conducted based on documents and library studies and analysis of samples that are built with the sustainable approach is to study and compare the fundamentals of investigated samples with the criteria of sustainable development. The result is that fundamentals of these buildings as architectural responses can help architectures challenges in different environmental conditions.

A Proposal Model for Estimation of Project Success in Terms of Radial Based Neural Networks: A Case Study in Iran Mahdi Asgari; Ali Kheyroddin; Hosein Naderpour
Civil Engineering Journal Vol 3, No 10 (2017): October
Publisher : Salehan Institute of Higher Education

For improving the conditions of project intended purpose and reaching high score in the project success, project Stakeholders (including employer, contractor, consultant and its users) try to comply with the implementation of project Critical Success Factors(CSFs) at the beginning of each project. This implementation is in two terms: economic and executive. Artificial neural networks are one of the new methods which have been developed to estimate and predict parameters by using inherent relationship among data. In this research, it tried to propose a model to determine the project success score by using radial basis neural networks. For reaching this purpose, firstly, the key indicators of project success (employer, contractor and consultant) among the main elements involved in the industry of macro-civil construction projects in Iran reviewed. Secondly, ten CSFs key project success indicators were recognized in five categories: (i) financial, (ii) interaction processes, (iii) manpower, (iv) contract settings and (v) characteristic nature of the project (based on conditions of the present research in Iran). Then, some projects were selected by random sampling of projects operated during the last 5 years in the country's Ministry of Energy. Among those projects, project information was collected by managers of large projects. After training the designed neural network, the project success model was provided based on an assessment of project objectives including factors of Scope, Time, Cost, and Quality of the projects. For facilitating other researches’ use, the applied equation of the model was presented as well. Outputs, calculated by the proposed model, were in good agreement with the actual number of projects assessed in Iran. The results of this study may be used as a tool in implementing projects for the rapid assessment of achieving project goals’ facilities.

The Necessity of Management Team Formation and Its Effect on Civil Engineering Projects Success Mehdi Bahadori Kosanji Zare; Alireza Mirjalili; Mohammad Mirabi
Civil Engineering Journal Vol 2, No 6 (2016): June
Publisher : Salehan Institute of Higher Education

Success of a project is one of the greatest and most important goals and concerns of mangers and all people involved in a project. The purpose of state civil engineering projects success is to decrease cost and time as well as increasing the quality and satisfaction of society and government as the main customers. Many factors influence civil engineering projects success and identifying them highly help the successful implementation of civil engineering projects. As one of the most important factor, it can be referred to project management team. The main purpose of the present study is to find the effective relation between management team formation and civil engineering projects success. To this end, library and field methods have been used. To gather required data, a 15-item questionnaire has been employed and distributed among 30 managers of successful state projects, including employer, consultant and contractor. The obtained data has been analyzed using descriptive method. As the findings revealed, weakness of managerial factors avoids complete success of state civil engineering projects implementation. The study also has concluded that team formation is highly important to organize project; management team enabling is regarded necessary for organizational projects success, and work relation of team members plays an important role in project management success.

Analysis and Evaluation of the Role of Mass Media on Urban Branding in Tourism Yazdani, Mohammadhasan; Alipour, Ebrahim; Dashti, Amir Hesam; Arzhengi, Bahram
Civil Engineering Journal Vol 4, No 5 (2018): May
Publisher : Salehan Institute of Higher Education

One of the Provinces competitiveness components in attracting tourists is the urban tourism branding and one of the most influential factors in this field is advertising and informing through the mass media which was a key point and the main goal in this research. This is of applied type in terms of purpose and research and describes the correlation between variables and is a survey way in terms of research method. The statistical sample of this study was 371 people who were selected by stratified random sampling. Finally, the data were analyzed by SPSS software and the variables were evaluated by AHP and ANP methods. The results of the pair comparison of the criteria indicated that the media advertising with the coefficient of 0.3352 has priority over other criteria for urban tourism development based on urban branding. Interpretation of the results of the standardized regression coefficients, namely beta (Beta), showed that the representation of tourism places in the form of tangible facts with beta of 289.0 had the greatest impact on the variable of tourism development and the establishment of urban branding. Therefore, a standard deviation in the representation variable increased the development rate of tourism by a standard deviation of 289.0, on the contrary.

Mathematical Modeling and Sensitivity Analysis on Cadmium Transport in Kaolinite under Direct Current Electric Field Milad Rezaee; Mostafa Nasrollahi Gisel; Saman Saffari
Civil Engineering Journal Vol 3, No 11 (2017): November
Publisher : Salehan Institute of Higher Education

Soil pollution is a challenging concern for environmentalists. Different remediation methods have been proposed to remediate polluted soils. Most of the existing methods cannot purify low permeable soils. Electrokinetic remediation (EKR) is an effective method which can remediate fine-grained soils. Understanding the physicochemical phenomena of the EKR is necessary to achieve efficient experimental framework. Therefore, the present study aims to introduce a theoretical and mathematical model for the EKR process. In the present model, different transport phenomena including ion migration, electroosmotic flow, and diffusion were considered. In addition, Chemical reactions such as adsorption/desorption, precipitation/dissolution, water autoionization reaction, and electrolysis reaction were considered. For modeling purpose, a set of partial differential and algebraic equations were used to model the remediation process. The implicit finite difference numerical model showed a good capability of simulating the EKR process. The sensitivity analysis on the retardation and tortuosity factors represented that the retardation factor had a considerable effect on the pH and cadmium concentration profiles. Although tortuosity factor did not have a significant impact on the pH profile, it had a non-negligible effect on the cadmium concentration profile.

Numerical Modeling of Flow Field in Morning Glory Spillways and Determining Rating Curve at Different Flow Rates Mohammad Reza Enjilzadeh; Ebrahim Nohani
Civil Engineering Journal Vol 2, No 9 (2016): September
Publisher : Salehan Institute of Higher Education

Morning glory spillways with drop inlets are normally employed in dams built on narrow valleys or placed on steep slopes. In Iran, morning glory spillways have been commonly used in large Dam projects such as Sefidrood dam, Alborz dam, and Haraz dam. Physical models should be built to accurately determine hydraulic parameters of the flow and flow field in spillways. Establishment of a physical model involves extravagant costs and conditions that cannot be justified in some cases. Therefore, suitable numerical models can be proposed for such circumstances. Using FLOW3D numerical models, 3-dimensional numerical modelling of the flow was calibrated and validated by experimental information associated with morning glory spillway of Alborz dam and accuracy of numerical modelling was determined by relative error of numerical model. So it was attempted to determine flow pattern and control conditions of morning glory spillways in different modes using boundary conditions, inlet conditions and grid spacing of flow field and project rating curve of morning glory spillways. According to the results of numerical model, relative error of numerical modelling equals 6.4% for calculating discharge rate of the spillways. Numerical modelling error is 7.6% for determining depth parameter of the flow in spillway crest in comparison with experimental results.

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