نشریه عمران و پروژه
سال چهارم شماره 4 (پیاپی 38، تیر 1401)

Passive control method, which is one of the solutions for strengthening and designing structures under earthquake loadings, has different sub-branches. One of these methods is to improve the existing weak buildings by using different types of damper. The seismic behaviour of the strengthened structure with different type of dampers is one of the main issues in choosing the strengthening method. Due to the energy absorption property, dampers have many applications in both construction and retrofitting. During an earthquake, these devices are activated and convert the earthquake input energy into heat energy, in other words, it absorbs the incoming energy. In previous studies, the use of this damper in various structures has been evaluated, but there is no specific category to investigate its effect on various types of steel structures in terms of height and type of damper. In this paper, the performance of this type of dampers in steel structures with different heights is discussed. The effect of using this type of dampers on the response of the structure such as the story drifts and the base shear is investigated and its performance is compared in steel structures with different heights. In the study of displacement, base shear and energy absorption parameters for three structures of 3, 6 and 12 floors, it was observed that viscous dampers had the best response to friction dampers and ADAS.

Strategic intelligence is one of the key factors in optimizing the decisions of senior leaders. During the synergy of knowledge management, competitive intelligence and business intelligence, strategic intelligence is mentioned as one of the key determinants of successful decision making that provides valuable information and knowledge necessary for strategic organizational decisions. The research method is descriptive-correlational and survey with a statistical population of 3,000 project management experts and leaders of construction industry organizations that are members of the Iranian Project Management Association. Using simple random sampling method and Cochran's formula, 341 people Statistical sample titles were selected. This research is one of the applied researches in terms of purpose. The method of data collection is library and field and in order to collect information, questionnaire and interview tools were used and the research findings were analyzed using statistical methods of correlation and regression analysis. After examining the concepts of strategic intelligence and leadership and strategic management, the results showed that there is a significant relationship between strategic intelligence and leadership and their factors with the implementation of strategy in project-oriented organizations and considering their relationship and impact on strategy implementation. Organizations It is essential that project-oriented organizations use system thinking with a slight change in the organizational leadership system and use artificial intelligence systems to implement strategy in their projects. Therefore, the purpose of this study is to investigate the relationship between strategic intelligence and leadership in implementing the strategy of project-based organizations.

The issue of increasing efficiency and improving the executive performance of construction has been one of the goals and concerns of regulatory bodies such as the municipality and the Engineering System Organization. At First, what is taken from the executive supervision concept is that the presence of the building's supervisor is the main responsibility for ensuring the building's quality. But in reality, there are countless factors behind of a building construction process that cause a decrease in the quality of executive supervision and ultimately a decrease in the executive quality of a construction. The main purpose of this article is to review the defined role of the supervising engineer by the Engineering System Organization in the field of construction, to examine various factors in the decline in the quality of executive supervision by statistical data obtained from the community and finally suggestions to increase the efficiency of executive supervision.

Reduction in project implementations is one of the most important challenges in construction management. In our country, after the revolution, there has been a significant leap forward in the construction of national civilization projects. However, despite the increase in the number of projects being implemented or commissioned, the problem facing these types of projects is the lack of start-ups and their operation on time according to the schedule. These delays also increase the cost of construction and reduce their quality. Comprehensive Quality Management (TQM) is the process by which management, with the participation of employees, customers and creditors, continuously improves quality. In other words, the final product in any industry must be tailored to the standards required by that industry to bring customer satisfaction. The construction industry is not an exception to this rule, and even the high cost of construction in this industry makes it necessary to ensure the control of the final product more than other industries. On the other hand, one of the goals and perspectives of TQM is to satisfy the customer completely with the least cost and attention to the optimal point of life cycle costs. In some cases, it increases so much that it takes the plan out of the being economic. In this article, while defining the basic topics of management, it deals with the role and position of time management, in the occurrence of delays and providing appropriate solutions to solve them. The aim of this study was to investigate the effect of quality management on optimal changes in construction costs for the construction projects.

Side weirs are flow diverting structures that are widely used in irrigation and drainage industry, flood control, sanitary engineering and urban sewage systems. So far, the discharge coefficient in this type of overflows has been determined experimentally using regression techniques, and for this reason, in this research, linear regression models and artificial neural network were used to predict the discharge coefficient of the lateral overflow, and their results are in agreement with each other and with Computational values were compared and the best model in this field was selected for prediction. The discharge coefficient of lateral spillways is based on several combinations of dimensionless independent variables including the ratio of length to width of the spillway (L/B), the ratio of the flow depth downstream of the spillway to the height of the spillway (Hd/P), the ratio of the length of the spillway to the height of the spillway (L/ P), the ratio of weir discharge flow to upstream flow (Qw/Qu) and the ratio of flow depth upstream of weir to weir width (Hu/B) were predicted. ANN7 model with inputs L/P, Qw/Qu, hu/B has the highest value of regression coefficient equal to 0.92 and RMSE and MAE error values equal to 0.23 and 0.15 performed the best prediction. Reg1 model with the values of regression coefficient, RMSE and MAE equal to 0.72, 0.17 and 0.11, respectively, it created the best results in prediction and was selected as the best linear regression model. The general results showed that ANN models compared to linear regression produces better results.