چكيده به لاتين
Economic design has always been one of the most important issues in engineering. Today, due to the relative limitation of resources, optimization and saving in the use of resources and materials in the construction of various types of structures, has become doubly important. On the other hand, in addition to economic issues, pollution from urban development and the construction industry has also added to human concerns. Environmental issues arising from the construction industry have attracted the attention of more sustainable development professionals and environmental activists. The problems arising from this industry in the discussion of sustainable development can be attributed to the use of inappropriate methods of building design. In this regard, the goal of various optimization methods is to design different types of structures, so that while convincing the regulations, the cost and emission of carbon dioxide (CO2) from the construction of the structure is as low as possible.
Concrete structures are very important in the civil engineering profession. However, design methods that take into account the cost of construction, fabrication, and pollution from CO2 emissions have not been properly considered by the engineering community. Single reinforced concrete foundations are one of the most critical and sensitive concrete structures in geotechnical engineering. Since a significant part of the construction costs is related to the foundation part, the economic design of the foundations is one of the main concerns of geotechnical engineers. Today, in the field of structural optimization, a series of new random and approximate methods are used under the name of meta-exploration methods.
In this dissertation, for the first time, the enhanced collision object algorithm (ECBO) is used in the optimal design of the individual bases of the two examples proposed by Wang and Kemp; This design has been done according to the geotechnical and structural requirements and based on the ACI318-11 regulation and the cost weight functions and CO2 have been considered as the objective function; In the next scenario, a new problem is proposed as the optimal design of a single pedestal and the solution and results are compared with both ECBO and HBB-BC algorithms. In these studies, two discrete and continuous spaces are used to select the variables. The final results showed that the ECBO algorithm has a better performance in optimization and if using a pedestal, the cost is significantly higher than the foundation without a pedestal. Is reduced.
