CN-122021031-A - High-salt-content soft soil curing agent selection and construction method

Abstract

The invention discloses a method for selecting and constructing a high-salt soft soil curing agent. Firstly, a soil body characteristic database is built by on-site investigation and sampling, key characteristic parameters of soil body are extracted, a candidate curing agent is obtained by primary screening of the curing agent based on characteristic matching, then a multi-objective optimization model is built and solved by taking engineering performance, economic cost, resource consumption and construction feasibility as cores to obtain an optimal curing agent and a reference proportion thereof, a refined doping amount gradient experiment is designed by taking the reference proportion of the optimal curing agent as a center, a relation curve of key performance indexes along with doping amount changes is drawn to obtain an optimal doping amount, finally, key characteristic parameters of a construction soil body are obtained in real time, the multi-objective optimization model is dynamically invoked or finely adjusted according to construction real-time data, and the multi-objective optimization model is solved to realize on-line dynamic adjustment of the doping amount of the curing agent and technological parameters. Solves the problems of curing agent selection, ratio optimization and construction quality control in the multi-salt coexistence environment.

Inventors

• SUN JIANCHENG
• JIA ZHANLEI
• XIAO CHENGZHI

Assignees

• 河北工业大学

Dates

Publication Date

20260512

Application Date

20260203

Claims (2)

1. 1. The method for selecting and constructing the high-salt-content soft soil curing agent is characterized by comprising the following steps of: Firstly, extracting key characteristic parameters of soil mass through on-site investigation and sampling, and constructing a soil mass characteristic database; The second step, performing primary screening on the curing agent based on characteristic matching to obtain candidate curing agent; Thirdly, constructing a multi-objective optimization model by taking engineering performance, economic cost, resource consumption and construction feasibility as cores, and solving the multi-objective optimization model to obtain an optimal curing agent and a reference proportion thereof; fourthly, carrying out fine design on the mixture ratio according to the reference mixture ratio of the optimal curing agent; designing a refined doping amount gradient experiment by taking the reference proportion of the optimal curing agent as the center, and drawing a relation curve of key performance indexes along with the change of the doping amount to obtain the optimal doping amount; Step five, dynamically sensing the construction process, and dynamically regulating and controlling the mixing amount of the curing agent and the construction process parameters on line; and acquiring key characteristic parameters of the construction soil body in real time, dynamically calling or fine-tuning the multi-objective optimization model according to the construction real-time data, and solving the multi-objective optimization model to realize the on-line dynamic adjustment of the mixing amount of the curing agent and the construction process parameters.
2. 2. The method for selecting and constructing a high salinity soft soil curing agent according to claim 1, wherein the soil body key characteristic parameters comprise physical indexes, chemical salinity pedigree parameters, pH values and organic matter contents.

Description

High-salt-content soft soil curing agent selection and construction method Technical Field The invention belongs to the technical field of foundation treatment and soil solidification, and particularly relates to a high-salt-content soft soil solidifying agent selection and construction method, which is particularly suitable for solidifying agent type selection, doping amount determination and construction quality control decision and optimization in high-chloride-content soft soil foundation treatment. Background The high-salt-content soft soil is taken as a special rock-soil body with wide distribution and complex properties, is not only limited to a coastal environment with chlorine salt as a main source, but also commonly exists in inland salty soil areas. The salt-containing type water-soluble salt has obvious regional characteristics, and common soluble salts mainly comprise chloride salts (such as NaCl and MgCl 2、CaCl2, with strong hygroscopicity, low freezing point and strong corrosiveness), sulfate salts (such as Na 2SO4、MgSO4, which are easy to generate crystallization expansion and corrosion), carbonate/bicarbonate salts (such as Na 2CO3、NaHCO3, which influence the pH value and cause soil dispersion), nitrate salts and the like. The salt is applied to the pore water and particle surface of soil body in different proportions and different forms, and the physical and mechanical properties and engineering behavior of soft soil are deeply influenced by changing the chemical balance of a soil-water system, the interaction force among particles and the cementing mode. Therefore, conventional curing methods relying only on experience or a single strength index are difficult to face for the diversified salt composition and its complex physicochemical effects. For example, sulfate ions react with cement hydration products to form swellable ettringite, which may cause cracking of the cured body, magnesium ions may replace calcium ions to disrupt the set structure, and high concentrations of chloride salts may promote early strength formation but severely exacerbate reinforcement rust risk and affect long-term stability of the cured body. The existing curing agent systems (such as cement-based curing agents, polymer-based curing agents and various composite curing agents) are abundant, but the research on specific salt type mechanisms is insufficient, and the systematic multi-factor decision support is lacking in the selection process, so that the matching efficiency of the type and the doping amount of the curing agent and a complex salt-soil system is low, and a series of engineering problems such as uneven reinforcement, poor economy, poor durability and the like are often caused. Furthermore, the existing construction technology system has serious shortage of real-time and rapid identification capability on the type and content of salt in soil and the spatial distribution thereof, and can not provide timely data flow for dynamic design and accurate construction. The preparation, blending, mixing and curing of the curing agent are carried out by relying on manual experience, and the quality control is high in subjectivity and low in standardization degree. This makes it difficult to ensure engineering quality because of significant dispersion of the curing effect in both the longitudinal and transverse directions. In summary, in order to solve the difficult problem of complex soft soil foundation treatment containing multiple types of soluble salts, a set of more universal, scientific and dynamically optimized intelligent decision method is required to be constructed so as to break through the limitation of single salts and establish a solidification decision frame covering all common salts and the interaction influence thereof. Disclosure of Invention Aiming at the defects of the prior art, the invention aims to provide a method for selecting and constructing a high-salt soft soil curing agent, and aims to construct a closed-loop framework from feature identification to intelligent decision and dynamic regulation, solve the problems of curing agent selection, ratio optimization and construction quality control in a multi-salt coexisting environment in a scientific, systematic and adaptable manner, and comprehensively improve the reliability, economy and environmental adaptability of foundation treatment. The invention solves the technical problems by adopting the following technical scheme: The method for selecting and constructing the high-salt-content soft soil curing agent is characterized by comprising the following steps of: Firstly, extracting key characteristic parameters of soil mass through on-site investigation and sampling, and constructing a soil mass characteristic database; The second step, performing primary screening on the curing agent based on characteristic matching to obtain candidate curing agent; Thirdly, constructing a multi-objective optimization model by taking engineering perfo