Pervious concrete (PC), as an environmental friendly material, can be very important in solving urban problems and mitigating the impact of climate change; i.e., flooding, urban heat island phenomena, and groundwater decline. The objective of this research is to evaluate the strength, permeability, and freeze-thaw durability of PC with different aggregate sizes, porosities, and water-binder ratios. The orthogonal experiment method is employed in the study and nine experiments are conducted. The compressive strength, flexural strength, permeability coefficient, porosity, density, and freeze-thaw durability of PC mixtures are tested. Range analysis and variance analysis are carried out to analyze the collected data and estimate the influence of aggregate size, porosity, and water-binder ratio on PC properties. The results indicate that porosity is the most important factor determining the properties of PC. High porosity results in better permeability, but negatively affects the mechanical strength and freeze-thaw durability. PC of 15% porosity can obtain high compressive strength in excess of 20 MPa and favorable freeze-thaw durability of 80 cycles without sacrificing excessive permeability. Aggregate size also has a significant effect on freeze-thaw durability and mechanical strength. Small aggregate size is advantageous for PC properties. PC with 4.75-9.5 mm coarse aggregate presents excellent freeze-thaw durability. The influence of the water-binder ratio on PC properties is not as significant as that of aggregate size and porosity. An optimal mix ratio is required to trade-off between permeability, mechanical strength, and freeze-thaw durability.functionally and environmentally friendly material [9]. It allows rainwater to permeate into the ground and replenish groundwater, which effectively alleviates the rapid decline of groundwater. In addition, PC pavement can solve other urban environmental problems [10][11][12]. With the development of Chinese sponge city construction, PC will be widely applied in road structure [13]. Therefore, PC is of great significance for mitigating climate change, solving urban problems, and promoting the development of human society [14][15][16].The main properties of PC are strength, permeability, and durability. A porous structure is the key feature of PC, and porosity is the most important factor influencing mechanical strength, permeability, and durability. In general, the porosity of PC mixtures is 15-30% and the corresponding permeability coefficient lies in the range of 1-15 mm/s [17,18]. Higher porosity produces higher permeability, but is disadvantageous to mechanical strength and durability. Due to the absence of fine aggregate and the existence of high porosity, the strength of PC is lower than that of traditional impervious concrete. The compressive strength of PC is 5-30 MPa and tensile strength is 1. 20]. In addition, the freeze-thaw durability of PC is a very important property, especially for PC used in seasonally frozen regions. However, the freeze-thaw durability ...

Because the failure behavior of the soil surrounding the Push-extend Multi-under-reamed Pile will be affected by the placed location of the bearing push-extend reamed, further, the bearing capacity of the Pile is affected, in the paper, through experimental study and theoretical analysis, it is qualitatively analyzed that the influence of the location of the bearing push-extend reamed for the bearing capacity of the Push-extend Multi-under-reamed Pile, the achievements of the paper will present the well theoretical basis for synthetically considering all of affecting factors in the design of the Push-extend Multi-under-reamed Pile.

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Internet of Things (IoT) is the development and extension of computer, Internet, and mobile communication network and other related technologies, and in the new era of development, it increasingly shows its important role. To play the role of the Internet of Things, it is especially important to strengthen the network communication information security system construction, which is an important foundation for the Internet of Things business relying on Internet technology. Therefore, the communication protocol between IoT devices is a point that cannot be ignored, especially in recent years; the emergence of a large number of botnet and malicious communication has seriously threatened the communication security between connected devices. Therefore, it is necessary to identify these unknown protocols by reverse analysis. Although the development of protocol analysis technology has been quite mature, it is impossible to identify and analyze the unknown protocols of pure bitstreams with zero a priori knowledge using existing protocol analysis tools. In this paper, we make improvements to the existing protocol analysis algorithm, summarize and learn from the experience and knowledge of our predecessors, improve the algorithm ideas based on the Apriori algorithm idea, and perform feature string finding under the idea of composite features of CFI (Combined Frequent Items) algorithm. The advantages of existing algorithm ideas are combined together to finally propose a more efficient OFS (Optimal Feature Strings) algorithm with better performance in the face of bitstream protocol feature extraction problems.