HOHAI UNIVERSITY

Disclosed by the present disclosure is a method for obtaining key parameters for pollutant transportations under coupling effects of temperature and hydrodynamics based on a site scale. The method is to obtain the permeability parameters, thermal conductivity, and dispersion coefficient of the contaminated sites based on multi field coupling numerical simulations of hydrodynamic field-temperature field-concentration field. The transportation parameters for pollutants on the site are key indicators for the investigations and treatments of organic pollution on the site. The method as illustrated in the present disclosure includes establishing a water-thermal-salt coupling model for organic contaminated sites according to site drilling data and site physical test results in the early stage, performing multiple field coupling numerical inversion according to the site model in combination with multi-party data, adjusting the model parameters through manual trial and error method to improve model accuracy and obtaining the optimal model.

The invention provides a prediction method for the response of a refined finite element model of a complex structure. It includes establishing a refined finite element model and a rough mirror information model with different mesh densities; using Latin Hypercube Sampling (LHS) for random sampling to construct input parameter sample sets of sizes m and n; performing probabilistic finite element analysis and extracting output response sample sets; constructing a Kriging model based on the first m sets of data in the output response sample sets, and using validation error to evaluate predictive accuracy; predicting the output response of the refined finite element model corresponding to the remaining n−m sets of data in the response sample sets of the rough mirror information model according to the Kriging model. This method reduces surrogate model's dependence on the forward calculation model's fineness and significantly reduces calculation time for system response of complex structures.

The invention provides a calculation method for the elastic modulus of a soil-rock mixture based on a mesoscopic structure model, relevant to the field of meso-numerical simulation of geotechnical materials. It includes the following steps: obtaining the gradation curve of soil-rock mixture particles through a screening test and constructing a two-dimensional random meso-structure model of the mixture with varying stone contents. Using the finite element method, a biaxial compression numerical test is conducted on the model under different stone contents and confining pressures. The equivalent elastic modulus of the mixture is determined by the corresponding secant elastic modulus at an axial strain of 1%. This macro-equivalent elastic modulus, considering stone content and confining pressure, is then fitted. This method effectively addresses the challenge of presenting accurate physical and mechanical parameters in engineering design and construction, making it directly applicable to practical engineering involving soil-rock mixture materials.