Civil Engineering
Alireza Shekhari; Ebrahim Nohani; Mohammad Hossein Noorolah Dezfouli
Abstract
The purpose of this research is to analyze the role of integrated components of sustainability in the construction industry in the construction projects of Imam Khomeini Port. For this purpose, a main hypothesis and three sub-hypotheses were developed. From the point of view of the purpose of this research, ...
Read More
The purpose of this research is to analyze the role of integrated components of sustainability in the construction industry in the construction projects of Imam Khomeini Port. For this purpose, a main hypothesis and three sub-hypotheses were developed. From the point of view of the purpose of this research, it is a development-oriented applied research, and from the point of view of methodology, it is descriptive-analytical (quantitative). The statistical population of this research includes specialists and construction experts of the Imam Khomeini Port Engineering System Organization, and the sample size was selected according to Kersey and Morgan's table by simple random sampling method of 120 people. The method of collecting information is library and field methods. Data analysis was done in two parts, descriptive statistics and inferential statistics using Pearson correlation coefficient, regression analysis and Friedman test by spss software. The findings indicate the confirmation of research hypotheses at a significance level of less than 0.05. Based on this, indicators of economic sustainability, social sustainability and environmental sustainability affect the success of construction projects.
Civil Engineering
mostafa Amini; Ebrahim Nohani; Mohammad Hossein Noorolah Dezfouli
Abstract
Every year, a significant portion of the country's credits and financial resources are allocated to investment in civil and infrastructural projects. Risk management can prevent cost escalation and assist in completing projects within the designated time and budget. This study aims to identify factors ...
Read More
Every year, a significant portion of the country's credits and financial resources are allocated to investment in civil and infrastructural projects. Risk management can prevent cost escalation and assist in completing projects within the designated time and budget. This study aims to identify factors contributing to the lack of implementation of risk management in small-scale civil projects in the city of Abadan. The research utilizes a descriptive method for data collection and employs exploratory factor analysis and TOPSIS analytical methods to identify and prioritize the factors. The results indicate that the influential factors in the lack of implementing risk management include four main elements (technical risk barriers, project management and leadership obstacles, construction risk barriers, financial risk barriers), among which the option of insufficient knowledge of the contractor has priority over other options.
Civil Engineering
Amirhosein Hojati; aliasghar Amirkardoust; Davoud Sedaghat Shaygan
Abstract
The information modeling model can be considered as a virtual process that includes all aspects, disciplines and systems of a facility in a single virtual model and allows all project stakeholders to use the processes traditionally cooperate more accurately and efficiently.This study investigated the ...
Read More
The information modeling model can be considered as a virtual process that includes all aspects, disciplines and systems of a facility in a single virtual model and allows all project stakeholders to use the processes traditionally cooperate more accurately and efficiently.This study investigated the factors related to building information modeling affecting the performance by reviewing the literature. The literature review showed that factors related to information modeling can affect the performance of construction projects by saving time and money, improving teamwork, better data management, and better understanding of the project. Improving the ability to build, visualize, productivity, quality, and accuracy. and ... to affect . Building Information Modeling (BIM) is a set of technologies, methods and policies that enable multiple stakeholders to collaboratively create a facility in the design space. It is an intelligent 3D model-based process, which usually requires a BIM implementation plan for owners, architects, engineers and contractors or construction professionals. Building Information Modeling or BIM can be used throughout the project life cycle to create clarity and efficiency in building construction .
Civil Engineering
mostafa davoodipoor; amir joreh
Abstract
The decision-making process is critical to the success of any construction project, construction personnel make decisions related to their duties every day and justify these decisions. Wrong decisions can disrupt the project in terms of time, quality, cost and relationships and can even impose exorbitant ...
Read More
The decision-making process is critical to the success of any construction project, construction personnel make decisions related to their duties every day and justify these decisions. Wrong decisions can disrupt the project in terms of time, quality, cost and relationships and can even impose exorbitant costs. On the other hand, design, engineering and construction include complex decisions with high uncertainty, so special attention should be paid to this part. The main goal of this research is to determine the dominant model of the decision-making process of experts in construction projects. In the first step, decision-making models will be identified through library studies, and then their decision-making processes will be determined by attending construction workshops and interviewing experts in the field of construction. In the next step, by communicating between the decision-making processes of experts and decision-making models, the most used model is determined through coding؛ In this research, based on the conducted research, the 3 dominant models used in the decision-making process of expert project managers are: the contingency model, the multi-criteria decision-making model, and the classic model.
Civil Engineering
Javid Rezania; Massoud Hamian; Alireza Rasekhi
Abstract
In today's modern world, traces of artificial intelligence can be found in almost any field. In recent years, with the introduction of algorithms and machines, the fields of building engineering and construction project management have also experienced new challenges, from optimizing processes and improving ...
Read More
In today's modern world, traces of artificial intelligence can be found in almost any field. In recent years, with the introduction of algorithms and machines, the fields of building engineering and construction project management have also experienced new challenges, from optimizing processes and improving product design to automating tasks and parametric design. Artificial intelligence in structural engineering involves the use of advanced algorithms and machine learning techniques to simplify and improve various aspects of the design and analysis process. Also, artificial intelligence software related to construction is a group of technological tools and solutions that use artificial intelligence to optimize various functions of this industry. On the other hand, one of the relatively new topics that artificial intelligence can enter into is the investigation of various types of damage, including progressive damage in the design and construction of structures. In this article, an attempt has been made to define artificial intelligence and machine learning, to explain the various functions of this technology, and practical algorithms, plus introduce useful and pioneering software in civil engineering, where artificial intelligence is the main origin. Also, the basic influencing parameters in the study of progressive collapse, such as critical path identification and extreme load patterns, have been investigated. According to the functions stated in this research, the importance of using artificial intelligence in theoretical studies and future applied projects is clearly known. Especially vital projects such as Spatial Structures or buildings with a special seismic bearing system such as Staggered Truss Systems and structures with high ductility requirements that need special analysis, design, and monitoring.
Civil Engineering
Parsa Hassanzadeh; Reza Amin; Ali Khodaii
Abstract
Urban trains, as one of the most important public vehicles in cities, are related to traffic and environmental issues. To improve the efficiency of these systems, it is necessary to examine and prioritize the factors affecting their efficiency. This article tries to identify and prioritize the important ...
Read More
Urban trains, as one of the most important public vehicles in cities, are related to traffic and environmental issues. To improve the efficiency of these systems, it is necessary to examine and prioritize the factors affecting their efficiency. This article tries to identify and prioritize the important factors affecting the efficiency of urban trains. In this article, the factors affecting the efficiency of urban trains are first examined, which include important aspects such as time interval, time wastage, safety, energy consumption, number of trains, management and planning, and passenger satisfaction; Then, by using case studies and data analysis collected from Tehran, the factors that have the greatest impact on efficiency are prioritized. The results show that in different conditions, different factors can have priority. In the end, recommendations for improving the efficiency of urban trains are presented, which can be effective as practical solutions for urban officials, public transport managers, and policymakers to improve the performance of urban train systems.
Civil Engineering
Abolfazl Yosefi; Hashem Jahangir
Abstract
Concrete can be assumed as the most regular constructional material in the world, which has a lot of advantages as well as disadvantages that attracted the attention of researchers. Adding natural materials including silica fume, fly ash, rice husk ash, metakaolin, and natural fibers and animal waste ...
Read More
Concrete can be assumed as the most regular constructional material in the world, which has a lot of advantages as well as disadvantages that attracted the attention of researchers. Adding natural materials including silica fume, fly ash, rice husk ash, metakaolin, and natural fibers and animal waste to concrete can improve the fresh and hardened properties of concrete such as slump, strength, water absorption, and durability, and at the same time reduce the environmental effects. On the other hand, adding too many natural additives can cause adverse effects on concrete, such as reducing efficiency and increasing curing time, which can be compensated by adding different kinds of fibers to the concrete mixture. In order to add natural additives to concrete, several experimental and field tests were performed, in which the effects of natural additives on the properties of concrete and their long-term performance were evaluated. Reducing the carbon footprint, and increasing resistance to cracking and corrosion are among the advantages of natural additives. In this paper, a review was conducted to evaluate the influence of natural additives on the mechanical properties of concrete specimens including compressive strength, flexural strength, and water absorption. The overall effects of utilizing natural additives on concrete properties were reviewed and listed accordingly.
Civil Engineering
Seyed Mahdi Mirkhorsandi; Hossein Khosravi; Alireza Davoodi; Seyed Mojtaba Movahedifar
Abstract
Financially, project portfolios can be completely self-reliant when their required liquidity is merely obtained through reinvesting the profit of the finished projects and the initial capital of the owners. However, the firm can only perform some profitable projects despite maximizing wealth owing to ...
Read More
Financially, project portfolios can be completely self-reliant when their required liquidity is merely obtained through reinvesting the profit of the finished projects and the initial capital of the owners. However, the firm can only perform some profitable projects despite maximizing wealth owing to a shortage of funds. In such cases, projects’ implementation can be phased as a practical solution to satisfy financial deficiencies. Therefore, decision-makers are involved in finding the optimum selection and scheduling of the self-financing phase-able project portfolios. Some projects especially construction projects encompass a multi-stage process of repetitive activities, which pave the way for taking advantage of the economy of scale when organizing for development. This research proposes a mathematical model for the problem of building construction project portfolio with simultaneous consideration of the reinvestment strategy, phasing strategy, and economy of scale at the enterprise level. In this case, an integer programming model to maximize the investment's net present value is presented. The proposed model provides a decition support system for property developers to select and schedule self-financing phase-able building construction project portfolios, in this context, the model's applicability is illustrated in a case example.
Civil Engineering
aliasghar Amirkardoust; Omid Tavakoli; davood sedaghat shayegan
Abstract
This article provides a comprehensive review of project planning and elucidates its pivotal role in ensuring success in the complex landscape of civil engineering projects. From various perspectives, the emphasis is placed on the sequential progress of projects, precise planning, resource coordination, ...
Read More
This article provides a comprehensive review of project planning and elucidates its pivotal role in ensuring success in the complex landscape of civil engineering projects. From various perspectives, the emphasis is placed on the sequential progress of projects, precise planning, resource coordination, meticulous control, and the adoption of innovative planning methods as essential components. The consequences of neglecting these fundamental stages, with a focus on cost, time, and project quality factors, are examined. Consequently, the synthesis of these perspectives underscores the linchpin role of planning in construction projects. Sequential progress, coupled with strategic planning and precise control, emerges as a foundational principle. Decision-making based on data and the utilization of mature models enhance project management efficiency. Serving as a comprehensive guide, this article underscores the significance of planning stages as the axis of success in civil engineering projects. With a comprehensive approach, recognition of interdisciplinary nature, and laying the groundwork for informed and strategic decision-making in the dynamic landscape, the article supports the outlook of effective project management in civil engineering.
Civil Engineering
Morvarid Hajian; Reza Attarnejad
Abstract
This paper presents an exact formula for considering soil stiffness under the foundation. This formula derived from a 3D modeling of eight strip footings with different foundation widths supported on a soil medium. In the case of an earthquake, the behavior of the substructure soil plays an important ...
Read More
This paper presents an exact formula for considering soil stiffness under the foundation. This formula derived from a 3D modeling of eight strip footings with different foundation widths supported on a soil medium. In the case of an earthquake, the behavior of the substructure soil plays an important role in the response of the structure. Studies show that the dynamic response spectrum of a structure on a flexible foundation is different from the response spectrum of a structure on a rigid foundation. Hence it is important to model the soil medium correctly to reach the best seismic results. There are different methods for modeling soil-structure interaction. These models use a constant value for modeling the soil stiffness. However, the soil stiffness varies along the foundation and should be calculated by analytical studies. This paper provides a simple formula which shows a non-uniform soil stiffness under the strip foundation and can be used for practical purposes.
