CN-121990843-A - MICP intelligent preparation and targeted reinforcement method suitable for pervious concrete

CN121990843ACN 121990843 ACN121990843 ACN 121990843ACN-121990843-A

Abstract

The invention relates to an intelligent preparation and targeting reinforcement method suitable for a permeable concrete MICP, which comprises a big data intelligent decision platform, wherein a mixing module is controlled to prepare concrete according to a mix ratio suggestion given by a digital twin system, concrete performance data is obtained through nondestructive testing, the data is fed back to the big data intelligent decision platform in real time, the data is pushed to the digital twin system to establish a performance database of the microorganism permeable concrete, an LMM (model-model) mixed model assists the digital twin system to give an optimized microorganism permeable concrete ratio, and the permeable concrete based on the MICP technology is prepared according to the optimized microorganism permeable concrete ratio. And when the mechanical properties are obviously degraded, the microbial factors are utilized to carry out targeted reinforcement, so that the reinforcement process capable of recovering the mechanical properties of the pervious concrete under different environmental conditions is obtained. The MICP technology is utilized to fix the microbial material for reinforcing the pervious concrete, and the performance of the pervious concrete can be reinforced through microbial targeting in the later period.

Inventors

LI MIN
XIA JIAHAO
ZHAO CONGCONG

Assignees

河北工业大学

Dates

Publication Date: 20260508
Application Date: 20260308

Claims (8)

1. The MICP intelligent preparation and targeted reinforcement method suitable for the pervious concrete is characterized by comprising the following steps of: The big data intelligent decision platform comprises a digital twin system and an LMM hybrid model; The digital twin system is internally provided with a machine learning model, a training database can be constructed by means of the established engineering analysis background information (site, load and meteorological data), and the optimal mixing ratio of the ordinary pervious concrete corresponding to the digital twin system can be automatically generated after the pervious concrete requirement is input; LMM mixed model, which is to predict the performance of microorganism permeable concrete after adding biological factors based on MICP technology according to the conventional permeable concrete mixing proportion obtained by machine learning; The big data intelligent decision platform controls the mixing module to prepare concrete according to the mix proportion suggestion given by the digital twin system, the concrete performance data is obtained through detection of the nondestructive testing module or maintenance under the environmental factors simulated by the environmental simulation module, the data is fed back to the big data intelligent decision platform in real time, the big data intelligent decision platform pushes the data to the digital twin system to establish a performance database of the microorganism permeable concrete, the LMM mixing model assists the digital twin system to give an optimized microorganism permeable concrete proportion, and the MICP technology-based permeable concrete is prepared according to the optimized microorganism permeable concrete proportion; the performance database of the microorganism permeable concrete comprises a permeable concrete performance and mixing proportion relation and a permeable concrete performance degradation curve; the integrated PLC control system is characterized in that a big data intelligent decision platform gives out instructions to control a bacteria-carrying particle preparation module, a mixing module, a maintenance module, an environment simulation module and a microorganism targeting reinforcement module to prepare permeable concrete, performance test is carried out through a nondestructive testing module, test data are fed back, collected and pushed to the big data decision platform, and the big data platform decides to optimize the mixing ratio and train an LMM (least mean square) mixing model; the bacteria-carrying particle preparation module is used for adsorbing and coating the microbial agent and the porous medium by negative pressure to form bacteria-carrying particles; The mixing module is used for initially setting the types and the adding proportion of the microbial agents and the porous media prepared by the bacteria-carrying particles, preparing the bacteria-carrying particles by a bacteria-carrying particle preparation system, and mixing the bacteria-carrying particles with the raw materials of the traditional pervious concrete at the optimal traditional pervious concrete mixing proportion determined by the big data decision platform to obtain slurry; the maintenance module is used for intelligently maintaining the slurry obtained by the mixing module; The nondestructive testing module is used for nondestructive testing of mechanical and water permeability of the pervious concrete and feeding back data to the big data intelligent decision platform; The environment simulation module is used for simulating environment factors of corresponding areas, applying corresponding environment factors to the intelligently maintained test block, accelerating the degradation process of the mechanical property of the test block, and obtaining a curve of the influence of the corresponding degradation property through the nondestructive testing module; The microbial targeting reinforcement module is used for reinforcing the mechanical property by using a mode of supplementing microbial bacteria liquid, calcium source and nitrogen source when the mechanical property is obviously degraded, and the reinforcement process is ended when the mechanical property is restored to a set value, so that the reinforcement process of different environmental conditions capable of restoring the mechanical property of the pervious concrete is obtained.
2. The method of claim 1, wherein in the maintenance process, the performance of the test piece is obtained through a nondestructive testing module, if the performance of the test piece can not meet the requirements of mechanics and water permeability, a big data intelligent decision platform is fed back, the type of microorganism, the type of carrier or the thickness of coating is changed, the mechanical property and the water permeability of the test piece are tested in real time through the nondestructive testing module until the microorganism is filled, and if the water permeability can not be damaged on the premise of improving the mechanical property, the optimal microorganism water permeable concrete mixing ratio is determined.
3. The method according to claim 1, wherein the nondestructive testing module comprises a strength development nondestructive testing unit, a water permeability testing unit and a porosity testing unit, wherein the strength development nondestructive testing unit comprises an ultrasonic tester and a digital rebound tester which are combined to realize strength and nondestructive testing, the water permeability testing unit adopts a water permeability coefficient tester to conduct water permeability testing, the porosity testing unit adopts a BET specific surface meter to conduct porosity testing, whether microorganisms are functional can be observed through the water permeability testing, and the degree of microbial action can be determined through the combination of mechanical properties.
4. The method of claim 1, wherein the porous medium is fly ash ceramic particles and the fibers are basalt fibers.
5. The method according to claim 1, wherein in the microbial targeting reinforcement module, the mechanical properties are tested in real time by using a nondestructive testing module, when the mechanical properties are degraded to a preset performance threshold (compression resistance attenuation 25%), the microbial liquid is sprayed in a supplementary manner according to 5L per square, the spraying speed is set to 10-20mL/min, after the set immersion time is reached, the calcium source and the nitrogen source are supplemented in batches, after the preset reaction time is reached in each batch, the next batch supplementation is performed, after the set batch is reached, the next periodic supplementary spraying of the microbial liquid, the calcium source and the nitrogen source is performed until the mechanical properties are restored to the original 75%, and the targeting reinforcement process is ended.
6. The method of claim 1, wherein the digital twin system is further provided with a multi-source data fusion module, a database, a cost constraint expansion module and a dynamic visualization monitoring module, wherein the multi-source data fusion module, the database, the cost constraint expansion module and the dynamic visualization monitoring module are used for dynamically adjusting the mix proportion of materials according to different environmental factors, and optimizing by combining a material cost quotation table, mechanical property, water permeability and cost of the cost constraint expansion module to obtain an optimal traditional water permeable concrete mix proportion suitable for corresponding application environments and giving recommendation tables of nearby material manufacturers, wherein the environmental factors comprise weather temperature, humidity, rainfall intensity, ultraviolet radiation intensity and load requirements, and the load requirements comprise load requirements of vehicles and pedestrians; the cost constraint expansion module is used for storing material cost quotation tables of material suppliers in different areas; The database is used for storing the minimum strength requirements of the corresponding traditional pervious concrete under different environmental data and storing the water permeability, mechanical property, porosity range, durability and environmental protection requirements of different traditional pervious concrete mixing ratios under different environmental data; The multisource data fusion module analyzes information including climate information, load requirements and cost of a region corresponding to the proportion of the existing permeable concrete engineering; Training a machine learning model by utilizing the data processed by the multi-source data fusion module, and obtaining an optimal traditional permeable concrete mixing ratio by using the trained machine learning model; The dynamic visual monitoring module provides visual data display and decision support.
7. The method of claim 1, wherein the cured concrete is placed in environments with different working conditions, the simulated extreme temperatures are freeze thawing conditions, the solar radiation is different in ultraviolet radiation intensity, and the chemical medium is a saline-alkali or acid solution in different liquid environments, so that the performance of the pervious concrete is reduced to 75% of the original state.
8. The microbial targeting reinforced pervious concrete based on the MICP technology is characterized by comprising the following raw materials in percentage by mass: The weight ratio of the aggregate to the cement matrix to the basalt fiber to the BLP to the silica fume to the water reducing agent to the urea to the calcium lactate is 1:0.2-0.3:0.002-0.003:0.05-0.06:0.02-0.03:0.08-0.09:0.009-0.01:0.011-0.0012:0.005-0.006; The aggregate is limestone gravels with the particle size of 4.75-9.5 mm, the basalt fibers are 12mm chopped basalt fibers, and the bacteria-carrying particles are porous ceramsites coated with metakaolin and loaded with bacillus pasteurizus; The method of claim 1 is used for determining the optimal mixing ratio to prepare the microbiologically targeted reinforced pervious concrete based on MICP technology.

Description

MICP intelligent preparation and targeted reinforcement method suitable for pervious concrete Technical Field The invention relates to the technical field of permeable concrete intelligent configuration, in particular to a MICP intelligent preparation and targeted reinforcement method suitable for permeable concrete. Background Urban roads in China are generally covered by non-permeable cement concrete or asphalt concrete, so that rainwater is difficult to infiltrate into the ground, and the problems of overload of a drainage system, urban flood, urban heat island effect and the like are caused. For this reason, the concept of sponge cities is attracting more attention. The pervious concrete has the advantages of good water permeability, good sound absorption, good noise reduction, good filtered water quality and the like, and becomes an important direction for constructing sponge cities. The pervious concrete is novel ecological environment-friendly concrete. The pervious concrete has the characteristics of high porosity, no separation, proper strength, small heat conduction coefficient and the like, allows water to be discharged freely, and is very suitable for being applied to parks, scenic spots, roadsides or roads. The rain water permeable device not only can enable rainwater to permeate into the ground to supplement groundwater reserve of the earth and water demand of vegetation, but also can facilitate the travel of pedestrians in rainy days and reduce waterlogging and urban heat island effect. In recent years, research and development of pervious concrete have also become a hot spot for domestic research. The permeable concrete is an important technology in a 'sponge city', is a concrete allowing water to easily pass through, and generally consists of cement, coarse aggregate, little or no fine aggregate, an additive and water, wherein the slump is close to zero, the porosity is 15% -35%, and the pore diameter of a communication pore is 2-8 mm. Along with the construction of sponge cities in China, the application of pervious concrete in urban pavement has attracted wide interest. The permeable concrete pavement has the advantages of reducing the rainwater runoff, relieving urban waterlogging, improving the water quality of yielding water, increasing underground water, relieving the heat island effect, reducing traffic noise, improving the skid resistance and the like, but has the defects of low strength, easy blockage, low durability and the like, so that the permeable concrete pavement is mainly used in parking lots, sidewalks, bike ways and other areas with little human flow at present. The high performance of pervious concrete is one of the directions of future development. In recent years, a microorganism-induced calcium carbonate precipitation (MICP) technology is widely focused as a novel, green and environment-friendly soil reinforcement technology in geotechnical engineering. The MICP technology mainly utilizes urease produced by microbial metabolism widely existing in the nature, carbonate ions produced after urea decomposition are combined with free metal cations in the nature to produce gel crystals, and the physical mechanics and engineering shape of soil are changed, so that the purposes of environmental purification, soil restoration and geological reinforcement are realized. The prior art has the following problems that 1, pervious concrete needs to ensure certain water permeability, namely, a rich seepage pore structure, so that the pervious concrete has a small amount of cementing materials, and has insufficient physical and mechanical properties, namely, the pervious concrete is limited to be applied to a high-load scene and can only be widely applied to a low-load area, and is difficult to meet diversified application scenes, 2, the pervious concrete has poor durability, and in actual use, the pervious concrete is subjected to long-time load along with temperature change, the mechanical properties are reduced, especially in areas with severe environments, such as areas with strong cold and corrosiveness, and 3, the pervious concrete in the prior art has poor adaptability to different environmental factor changes, so that a measure capable of being regulated and controlled later is needed to be introduced to solve the problems. Disclosure of Invention Aiming at the defects of the prior art, the invention aims to solve the technical problems of providing a MICP intelligent preparation and targeting reinforcement method suitable for pervious concrete, which utilizes MICP technology to fix microbial materials to reinforce the pervious concrete and can realize microbial targeting reinforcement on the pervious concrete performance in the later period. In order to achieve the above purpose, the invention is realized by the following technical scheme: An intelligent preparation and targeted reinforcement method suitable for permeable concrete MICP, which comprises the following steps: Th