فصلنامه رویکردهای نوین در مهندسی عمران
سال پنجم شماره 2 (تابستان 1400)

Through, progressing technology in industry; numerous advanced methods for construction will be created that one of them is Automation & Robotic; which will be defined as an industrialization subset. This technique has been changed and renewed the construction methods and technology by using automation and robotic technology. During this investigation, first of all, basics of robotic and automation will be considered as a first look and their role and advantages will be defined in construction. Afterward, japan and five corporations of this country plus their role have been investigated and for furthermore information a case study has been notified. In this paper the practical method has been defined to reach the goals of paper by using online data-bases also the annual reports of each corporation have been used to complete any lack of information, the rest of paper will discuss about this review.

Since unreinforced structures have the highest potential for earthquake damage and have multiple failure mechanisms, due to the lack of many uncertainties in the parameters of this type of structures, their vulnerability should be studied with proper knowledge of this and considering the parameters and the most probable modes for its failure. Also, most of the structures that are of historical importance are made of building materials and bricks. These types of structures usually have major weaknesses against earthquakes. Recognition of these weaknesses is a prelude to choosing the appropriate method to strengthen them. In recent decades, researchers have used various methods to enhance the seismic behavior of brick walls. Common methods for this work are coating and reinforcement with plaster and sprayed concrete, which is the most common method of using sprayed concrete. In this study, the micro method is used for finite element modeling in ABAQUS software. In modeling, three methods of reinforcement are used, which include reinforcement with steel sheet, FRP sheet and mortar. The results of this study showed that the sequential arrangement of FRP strips, compared to other methods, had a greater effect on improving the flexibility and the diagonal arrangement of the mentioned strips had a tangible effect on increasing the final strength of masonry walls.

It is clear that the functions and structures in a Geographic Information System (GIS) software must be compatible with a business structure. This has led to the emergence of a new subsidiary called Geographic Information Services alongside the main structure of geographic information systems. Using this structure, even without special experience and knowledge in the field of GIS, each individual has the chance to use the capabilities of GIS software analysis. In this research, to access a comprehensive and optimal geographical information structure, the use of distributed computational model has been investigated and proposed. In some ways, due to the recognition of mobile devices, their progress and smartening, a research has been presented regarding the commercial specialization of these services for use in mobile devices.

Machine learning (ML) has undergone significant changes in recent years and the strengthening of the role of data science in its various forms evolved rapidly. Compared to traditional approaches, ML facilitates the benefits of dealing with complex problems, providing computational efficiency, dissemination, treatment of uncertainty, and decision making. Also, the growth of ML has led to significant advances not only in mainstream artificial intelligence (AI) research but also in other fields of science and engineering, such as materials science, bioengineering, construction management, and transportation engineering. Due to the unknown seismic dimensions and seismic behavior of the structure, this paper examines the progress and challenges of ML implementation in this area. Studies show that the use of ML in three areas of earthquake risk assessment, structural damage risk assessment before and after the earthquake and control of seismic behavior of the structure with the aim of reducing the effects of earthquakes can be considered.

The present study aimed to investigate the experimental performance of the effect of magnetic water on the mechanical properties of concrete containing basalt fibers. In this study, AQUA-Correct (AC) device made in Germany, which has a power of about 1300 Gauss, has been used to produce magnetic water. Concrete samples prepared (24 samples 7 and 28 days for compressive strength test and 24 samples 7 and 28 days for flexural strength test) are made by this machine with one and two times passing through the magnetic field. The fibers used are basalt fibers that it has a length of 3 cm and a diameter of more than 9-10 microns. It has high heat resistance and sound absorption and has effective applications in the manufacture and reinforcement of composite materials and is 0, 2 and 5% by weight of cement in the mixing plan. Basalt fibers have been studied on the properties of concrete such as compressive strength, flexural strength, slump and specific weight. The results showed that by increasing water magnetism, slump, specific weight and compressive strength and the flexural strength of concrete increases, also by increasing basalt fibers, slump and specific weight decreases and by increasing the percentage of fibers from 0 to 2, the compressive strength increases and from 2 to 5%, we face a decrease in compressive strength, resulting in that 2% is an optimal percentage of basalt fiber. However, by increasing percentage of fibers, flexural strength has been increased significantly.