نشریه عمران و پروژه
سال پنجم شماره 9 (پیاپی 55، آذر 1402)

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.

The coronavirus outbreak has changed all over the world, and various industries have suffered severe damage. On the other hand, its impact on transportation as an important infrastructure has been significant. Reducing air pollution and traffic volume are also outputs of corona-related changes. This article examines the statistics and performance of Snapp and Uber companies. Using the Performance Report published by the companies, analysis and comparisons have been made between the two companies, as well as their various departments. In the end, the performance of Snapp and Uber companies has been compared to public transport. The results show that Corona has generally had a negative impact on transportation performance, especially public transport. Online taxi service provider companies، After the Corona era, they have been able to compensate for their losses and surpass the pre-Corona conditions, but public transport continues to face problems caused by Corona. In some parts of transportation, the effects of corona have been positive. This is due to quarantine and social distancing. Carrying methods that reduce passenger movement, such as couriers and cargoes, were welcomed. Corona has also made a visible impact on people's lifestyles. The results show that after the coronavirus epidemic, users have not returned to their past methods of transportation.

Transportation in the field of postal delivery is of great importance, and various types of vehicles and methods are used to send postal items to different destinations. Among these, air transportation is one of the fastest and most efficient methods for sending postal items globally. Airplanes, with their high speed and access to remote locations, make it possible to send postal items to distant destinations. In this study, the performance of the country's airline organization in the transportation of postal items on domestic flights, flights from within the country to abroad, and flights from abroad to the country over a decade has been examined and analyzed. This analysis was conducted using data extracted from the statistical yearbooks of the national airline organization, which allowed for the creation of charts and trendlines based on them. The results of this analysis show that the transportation of postal items on domestic flights in Iran has had a decreasing trend over the past decade. On the other hand, the transportation of postal items on flights from abroad to Iran has shown an increasing trend. Additionally, the transportation of postal items on flights from within Iran to abroad has had a relatively constant trend. Finally, the discussion will conclude with an assessment of the issues and a summary of the findings from this decade-long performance.

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.