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The surface properties of pavement concrete have great influence on the overall performance of pavement, so it is of great significance to study how to effectively strengthen the surface properties of pavement concrete. The surface properties of pavement concrete are mainly reflected in three aspects: abrasion resistance, frost resistance, and impact resistance. The ways to strengthen the surface properties of pavement concrete are mainly focused on surface fortifier, adding polymer mixture, fiber, and additive, improving the way of maintenance, improving construction technology and optimizing the basic components of concrete. These five ways have its advantages and disadvantages. To enhance the surface properties of concrete economically, effectively and comprehensively, the way that laying fiber mesh into cement mortar layer is put forward.

At present, fiber-reinforced solidified soil is a research hotspot in the civil engineering field, but there are few related researches. Researches mainly focus on solidified soil and fiber-reinforced soil. Based on this, the research status of solidified soil and fiber reinforced soil is comprehensively analyzed in this paper. It is found that there is still a great lack of research on the strengthening mechanism of solidified soil. The research on the mechanism is still in the stage of qualitative description, and the related technical problems need to be further studied. Similarly, there are still great limitations in the research of fiber reinforced soil. These are reflected in the limited types of soil studied, more laboratory mechanical properties tests, but less research on fiber toughening mechanism.

Concrete Canvas (CC) is a 3D spacer fabric-reinforced cement-based composite, prepared through filling cement-based composite powder into fabric via the porous surface of 3D spacer fabric. When hardened by water, CC forms a water-proof, fire-resistant, and durable concrete layer with outstanding mechanical properties. So far, CC has been applied in inflatable tents, slope protection, structure reinforcement and repair, ditch lining, and other engineering projects, as well as furniture and artwork design. Existing studies on CC primarily focus on the modification and optimization of its component materials, and CC reinforcement using externally bonded FRP and aluminum flakes. CC has a broad application and an enormous application potential in emergency engineering, such as the protection of emergency tents and shelters, emergency repair and construction of airport pavement and positional projects; however, it is necessary to improve the compressive strength, flexural strength, wear resistance, anti-penetration performance, and base course bond performance of CC. To that end, research from the perspectives of modifying CC component materials, reinforcement of CC by externally bonded FRP, the improvement of the anchorage method, and the optimization of anchoring primers can be carried out.

The measured diffusion coefficient and soil-water characteristic curve (SWCC) of remolded loess were used to modify the Mualem model for increasing its accuracy. The obtained results show that the goodness of fit between the Mualem model and the variable parameter-modified Mualem method comparing with the test results was not high. The saturation of 0.65 was introduced as the boundary to divide the curve of the measured diffusion coefficient into two segments. When the segmentation method combined with the variable parameter method was used to modify the Mualem model, the fitting correlation coefficient was increased to 0.921–0.998. The modified parameters Ko and L corresponding to remolded loess were calculated for different dry densities. Based on the exponential function between Ko and dry density and the linear relation between L and dry density, the segmentally modified Mualem model was established for remolded loess by considering variation in dry density. The results of the study can be used for directly determining the unsaturated infiltration coefficient and for indirectly determining the SWCC through diffusion coefficient.