Study Of Reinforcement Mechanism By Test For Bio-slope-engineering

With the increase in construction like highways, railways, dam etc., there are a large number of slopes that destroy the natural vegetation. It leads to serious water-soil erosion and endanger the construction of infrastructure. Bio-slope-engineering has been in wide use in slope protections as a branch of science and technology. But the study of reinforcement mechanism for bio-slope-engineering is lagging behind the engineering practice. In this paper the reinforcement mechanism for bio-slope-engineering is studied and analyzed, some conclusions can be got as below:(1)The models and methods of root-soil interaction are summarized, their shortage is also analyzed, then a series of triaxial tests for grassroots-reinforced soil(GRS) are designed and carried out.(2) The laboratory test results show that: the cohesion can be enhanced evidently through reinforcement, but the internal friction angle holds the line basically, and the reinforcement theory of GRS follows pseudo-cohesion concept, a more adaptive equation for pseudo-cohesion calculation is derived.(3)The test results of GRS mixed in layer show that an optimal reinforcement quantity exists in GRS in the given number of grassroots layers, under this condition the strength of GRS reach the maximum.(4)The study show that: the strength envelope of soil is non-linear under small normal stress, but the strength envelopes of GRS(reinforcement in layer or mixed) is linear basically, the equation of strength criterion for soil and GRS are got through fitting the test data.(5)The BP neural network constitutive models of soil and GRS reinforcement in mixing are established base on test data. The results show that the network constitutive model has good fitting precision and good generalization ability through comparing the predicted values and the measured one.