Basalt fiber-reinforced polymer composites are receiving considerable attention as they represent a low-cost green source of raw materials. In most cases, fiber-reinforced polymer composites face harsh environments, such as chloride ions in coastal marine environments or cold regions with salt deicing. The resistance of fiber-reinforced polymers subjected to the above environments is critical for the safe design and application of such composites. This research aims to develop a framework to investigate the durability properties of the lightweight expanded clay basalt fiber polymer reinforced concrete exposed to the NaCl environment. The specified quantity of concrete structural elements was cured in its specified curing solution for 28-day curing period before testing. The main effect of micro silica is to enhance concrete strength and durability. Dispersed basalt fibers with 20 mm length and 1.6 percent volume were added to the concrete mixtures. The concrete beams were reinforced with 2∅10 mm rebars as reinforcement while the concrete cylindrical columns were reinforced with dispersed chopped basalt fiber. The results show that addition of dispersed chopped basalt fiber in the concrete caused an increase in the flexural and compressive strength of the concrete structural elements. Micro silica enhanced the concrete strength even when immersed in NaCl solution. Basalt fiber and micro silica fume utilization enhanced the mechanical properties of the concrete.
In this research, the authors have developed an algorithm for predicting the compressive strength and compressive stress–strain curve of Basalt Fiber High-Performance Concrete (BFHPC), which is enhanced by a classical programming algorithm and Logistic Map. For this purpose, different percentages of basalt fiber from 0.6 to 1.8 are mixed with High-Performance Concrete with high-volume contact of cement, fine and coarse aggregate. Compressive strengths and compressive stress–strain curves are applied after 7-, 14-, and 28-day curing periods. To find the compressive strength and predict the compressive stress–strain curve, the Logistic Map algorithm was prepared through classical programming. The results of this study prove that the logistic map is able to predict the compressive strength and compressive stress–strain of BFHPC with high accuracy. In addition, various types of methods, such as Coefficient of Determination (R2), are applied to ensure the accuracy of the algorithm. For this purpose, the value of R2 was equal to 0.96, which showed that the algorithm is reliable for predicting compressive strength. Finally, it was concluded that The Logistic Map algorithm developed through classical programming could be used as an easy and reliable method to predict the compressive strength and compressive stress–strain of BFHPC.
The expansion of transport networks as a result of urban growth with low coverage and low integration leads to low transport efficiency and inaccessibility. This leads to poor connectivity in ancient urban areas of the Iraqi provinces. Identifying the Iraqi provinces with the lowest transport efficiency by performing the supply-demand ratio of the master plan for the center of Iraq's provinces (for example, the city of Karbala) is an indicator of the availability and accessibility of transport in urban areas. Solutions to meet transport needs have not focused on improving road capacity and meeting demand by improving operational efficiency even in surrounding communities. In this research theoretical model measured the degree of accessibility of the road network in the city to assess the effectiveness of transport. It has been identified that closer the coefficient of supply-demand to the zero points will provide a comfortable level of service to all road users. This theoretical model evaluates and improves the impact of changing the function of the road network and using different modes of transportation taking into account religious factors, full range of demand control, system efficiency, and infrastructure capacity clarifications.
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