Based on the necessary relationship between the strength and the water content of unsaturated soil, combined with real foundation pit in unsaturated soil, firstly, physical and mechanical parameters of soil samples with different water content are obtained through triaxial test. Secondly, the computation model is built by using PLAXIS, and numerical analyses of deformation characteristic in deep foundation pit are performed, then, the relation curves between water content and deformation values are plotted, which include ground deformation, support pile deformation and upheaval deformation at pit bottom, meanwhile, the influence laws of soil water content on deformation characteristic are summed up. The case study show that soil water content is a key influence factor for deformation characteristic of deep foundation pit in unsaturated soil, and the research results have some theoretical meaning and practical value for design and construction of deep foundation pit.

A new delay compensation control algorithm is applied to the networked control system (NCS), in which the characters of random time-delay and packet loss involved. Firstly, the ideal model of networked control system is considered as a reference model, and then the Lyapunov stability theory is used to design an adaptive control algorithm which generates a bounded control input, it is guaranteed that generalized output error is closing to zero. Narandra stability adaptive controller is used in the networked control system, which has many advantages including simple algorithm, less time computing, fast response. The simulation results are shown that the networked control system is well controlled by this method.

The mineral grinding process is a typical constrained multi-objective optimization problem for its two main goals are quality and quantity. This paper established a similarity criterion mathematical model and combined Multi-objective Dynamic Multi-Swarm Particle Swarm Optimization with modified feasibility rule to optimize the two goals. The simulation results showed that the results of high quality were achieved and the Pareto frontier was evenly distributed and the proposed approach is efficient to solve the multi-objective problem for the mineral grinding process.

In this paper, a small multi-agent system (MAS) is proposed based on behavioral approach for the complex grinding processes. Causal association agents were established according to the material balance of grinding processes, and prediction agents and stability control agents were built by adding prediction and control algorithms. The simulation results prove that the system has good stability and anti-interference performance. Multi-agent behavioral control method can be considered as a potential solution to stabilize grinding processes.

In this paper, of the slag composition, stability and slag particles indicators of concrete performance, demonstrated use of steel slag to do the Complete Works of material, steel slag powder admixture with high wear resistance, water resistance slag cement preparationthe feasibility of high-performance cement concrete.