6 results about "Phyllite" patented technology

The invention discloses a comprehensive utilization method of waste rocks, which comprises the following steps: S1, pre-selecting the waste rocks, and sorting the stockpiled waste rocks by using a magnetic pulley; s2, carrying out coarse crushing and fine crushing on the phyllite until the granularity is 0-2mm, and then carrying out fine grinding and superfine jet milling to obtain powder with the medium fineness of 15-20 microns of the inorganic mineral filler for subsequent surface modification of the phyllite; s3, the powder obtained in the step S2 is pulped, meanwhile, octadecylamine is added for modification, and the use amount is 1.2 wt%; s4, the octadecylamine modified powder and an auxiliary agent PP are mixed to be uniform, a mixture is obtained, and the weight ratio of the powder to the auxiliary agent PP is 30: 100; s5, the mixture is compounded with a flame retardant DBDPE and a flame retardant synergist Sb2O3 according to the compounding ratio of 20: 2.5: 7.5, and the flame-retardant phyllite filler is obtained.

The application provides a mineralized filter material, a preparation method thereof and a mineralized filter core. The mineralized filter material comprises modified calcite carbonate rock, modified crystalline limestone, modified phyllite and modified granodiorite porphyry. The mineralized filter material comprises modified geological materials with specific components, and when used in a mineralized filter core of a reverse osmosis water purifier, can precipitate various beneficial elements such as calcium, magnesium, lithium, strontium, zinc and boron, and improve the water quality of the reverse osmosis water purifier, and obtain drinking water based on Kunlun Mountain spring water.

The embodiment of the present application provides a phyllite tunnel surrounding rock large deformation risk discrimination method, device and product, and relates to the field of rock mechanics. In the embodiment of the present application, based on Hoek-Brown criterion, the value of soft rock GSI is quantified by introducing rock mass blockiness index coefficient RBI and rock block damage index VI, the surrounding rock geological damage degree is obtained by using the residual strength method, compared with the maximum creep cracking damage obtained by indoor test, and the preliminary identification method of the large deformation of the surrounding rock in the field is established. Thus, the engineering geological characteristics can be obtained by surveying the unexcavated surrounding rock, and then the rock mass geological damage degree and the maximum creep cracking damage are calculated based on the engineering geological characteristics, so as to preliminarily identify whether the surrounding rock of the unexcavated section of the tunnel has the large deformation risk, thereby guiding the tunnel excavation and support of the subsequent to-be-excavated section, and providing a reliable basis for the disaster reduction and prevention of large deformation disasters in the field of tunnels and underground engineering.

The invention relates to the field of underground engineering technology and mechanical equipment, in particular to a phyllite stratum TBM tunnel combined support surrounding rock stability machine learning evaluation method, which comprises the following steps: constructing a three-dimensional continuous-discrete coupling model; simulating the model, and constructing a structured data set based on a simulation result; the method comprises the steps that a data set is preprocessed, the preprocessed data set is divided into a training set and a test set, a stacked integrated learning model is built, the stacked integrated learning model comprises a base classifier and a meta classifier, the base classifier is trained through a k-fold cross validation method, the test set is predicted through the trained base classifier, prediction features are used as a new test set, and the new test set is used as the test set. Training a meta-classifier by using the new training set and the new test set to obtain a trained meta-classifier, and constructing a trained stacked ensemble learning model; and inputting the new training set into the trained stacked ensemble learning model to verify the model. According to the invention, efficient and accurate evaluation of the surrounding rock stability can be realized.

The invention relates to the technical field of geotechnical engineering and blasting construction, in particular to a blasting excavation construction method for a manual hole digging pile in a silk phyllite region, which comprises the following steps of: selecting rock emulsion explosive and a second delay electric detonator, preparing a portable exploder, arranging a drilling point, drilling by adopting a rock drill, cutting a straight hole, and connecting a blasting network in a bunchy manner. The bundles are connected through a four-way joint, and detonating is conducted through a detonating tube. Original manual rock crushing is changed into accurate blasting one-time forming crushing, the hole forming efficiency of a single pile hole is greatly improved, the overall construction period of pile foundation construction is effectively shortened, the total number of workers needed for pile hole excavation is reduced, and the under-hole operation time of operators is shortened.

This application relates to a method for adjusting the swelling and shrinkage rate of phyllite soil at different subgrade depths. It includes the following steps: preparing test soil samples using red clay and cement-based permeable crystalline waterproofing material CCCW as phyllite soil improvement components; calculating the vertical pressure corresponding to different subgrade depths h and establishing the correlation between vertical pressure and subgrade depth; establishing a linear mathematical model of the total swelling and shrinkage rate of the improved soil under load with the red clay admixture ratio and CCCW admixture content through orthogonal experiments; finally, using a total swelling and shrinkage rate of 0.7% and 2.5% as control targets, coupling the depth load model with the linear mathematical model between red clay and depth, determining the appropriate phyllite-red clay-CCCW composite filler ratio and filling scheme for different subgrade depths. This invention achieves precise customization of the improved filler ratio under different subgrade depth conditions, effectively suppressing the swelling and shrinkage deformation of phyllite soil, improving the long-term stability of the subgrade, and reducing engineering costs.