7results about How to "Improve calculation stability" patented technology

This invention relates to the fields of computational mechanics and rock engineering, and particularly to a numerical simulation method for end-anchored rock mass engineering based on DDDA (Digital Directed Amplification and Analysis). The method includes: constructing a circular element discontinuous deformation analysis numerical model according to actual engineering conditions; performing discontinuous deformation analysis numerical calculations; analyzing the calculation results of the unanchored model to preliminarily determine the anchoring scheme; performing discontinuous deformation analysis numerical calculations again; determining whether the model contains unstable blocks, adjusting the anchoring scheme, and repeating the aforementioned steps until the model stabilizes, thus completing the design of the rock mass engineering anchoring scheme. This invention establishes a numerical simulation method capable of accurately simulating the interaction between anchor bolts (anchor cables) and rock mass, and integrating anchoring scheme design, stability assessment, and dynamic parameter optimization functions. It achieves accurate prediction of the deformation and failure behavior of anchored rock mass and optimizes anchoring design, featuring high simulation accuracy and strong practicality.

The invention discloses a numerical calculation method and system for turbulent combustion difference diffusion of mixed multiple fuels, and belongs to the field of turbulent combustion numerical simulation. Comprising the following steps: establishing a small flame table based on a one-dimensional hedging flame equation, parameterizing a thermodynamic state space into a function of a mixed fraction and a reaction process variable through a mapping algorithm, deducing a difference diffusion term of a multi-fuel component, and establishing and solving a difference diffusion double-equation small flame model control equation suitable for the multi-fuel component under a large vortex simulation framework; discretizing the processing model and coupling a pressure-velocity field; in the process, the same method is used for comparing a small flame model simulation result which does not consider the difference diffusion effect so as to highlight the influence of the difference diffusion effect. According to the method, a difference diffusion two-equation model is expanded to a multi-fuel mixing working condition, dual-fuel turbulence diffusion flame of hydrogen-ammonia mixing combustion is taken as an example, the mass fraction and temperature distribution of main components are compared through a prior method and a posterior method, and the influence of the difference diffusion effect is quantitatively analyzed.

This invention discloses an intelligent projection positioning and drilling accuracy control system for blast holes at tunnel faces, belonging to the field of tunnel drilling and blasting construction technology. It aims to solve the technical problems of inaccurate blast hole positioning and large drilling direction deviations in existing tunnel face systems, leading to low construction efficiency. The key technical points are: the control system includes a structured light projector mounted on a tunnel drilling and blasting trolley, at least two industrial cameras, a fiber optic shape demodulation module, and a controller. A fiber optic shape sensing unit is installed inside the drill rod at the end of the drill arm of the drilling and blasting trolley; the structured light projector projects structured light, the industrial cameras acquire binocular images, the fiber optic shape demodulation module calculates the curvature and torsion angle sequence of the sensing unit, and the controller controls the drill arm drive mechanism to correct the drill bit position and direction through 3D reconstruction, coordinate comparison, and real-time deviation adjustment. This invention achieves intelligent positioning and drilling accuracy control of blast holes at tunnel faces, improving the accuracy and efficiency of tunnel drilling and blasting construction.

This invention belongs to the field of intelligent seismic exploration technology, specifically relating to an intelligent reconstruction method for passive source seismic wavefields under sparse active source constraints and non-ideal illumination, to address the problems of false phase axes and coherent noise under non-ideal distribution of underground passive sources. To improve the reconstruction effect of passive source seismic wavefields under non-ideal illumination conditions, this method constructs an improved U-Net network, enabling it to intelligently extract data features and derive attention mechanisms along two independent dimensions—channel and space—within the network. The attention mechanism is then multiplied by the input feature map for adaptive feature refinement, achieving intelligent reconstruction of passive source data. Furthermore, a deep learning network, trained through learning, constrains the passive source seismic data prediction network with sparse active source seismic records, enabling the reconstruction of passive source data with co-located active source lines under sparse active source conditions, thus improving the multi-dimensional deconvolution reconstruction effect and computational stability.

This application discloses a method and apparatus for thyroid cancer analysis based on real-time quantitative PCR. The method includes: acquiring data to be analyzed; determining sample-specific threshold line data based on the data to be analyzed; calculating a corrected Ct value based on dual-inflection-point kinetics based on the sample-specific threshold line data to obtain the final corrected Ct value; and generating a detection result based on the final corrected Ct value. This application significantly improves the linearity of the fluorescence amplification curve, reduces the interference of background noise on the results, and improves the stability of Ct value calculation through optimized curve fitting algorithm processing.

The application discloses a three-dimensional numerical simulation method for a CEL-based shaped energy jet perforation and casing penetration, and relates to the technical field of oil and gas well completion and stimulation measures. The method comprises the following steps: a three-dimensional finite element model is established; according to the symmetry of geometry and load, symmetric boundary conditions or full model boundary conditions are applied to the three-dimensional finite element model; material parameter assignment is performed on the perforating bullet, the perforating gun and the casing respectively; an Euler-Lagrange coupling relationship between the Euler domain and the Lagrange entity is established, and a contact relationship between the Lagrange entities is established; the model is divided into zones for meshing; time-history calculation results of jet forming, penetration perforation and casing response are obtained; the calculation results are post-processed; and parameterized calculation of the charge weight, the geometry of the shaped charge liner, the blind hole structure of the perforating gun, the size and material parameters of the casing is carried out. The application provides a calculable basis for the structure optimization of the perforating bullet and the mechanical safety evaluation of the casing.