7 results about "Body force" patented technology

The invention provides a foundation pile low-strain reflection wave method test method, and belongs to the technical field of pile foundation detection. The method comprises the following operation steps: S1, building a column-bearing platform-pile soil system three-dimensional dynamic model under a rectangular coordinate system according to an elastic theory; s2, a pile, a bearing platform, a column, soil around the pile and soil at the bottom of the pile are regarded as isotropic linear elastomers, physical power is not considered, and system dynamic response is solved based on an elastic wave equation; s3, analyzing the influence of different excitation force positions and different vibration pickup positions on the speed response curve; s4, verifying the correctness of the theoretical model by comparing the numerical calculation curve with the actual measurement curve, and applying the theoretical model to engineering practice to assess the completeness of the foundation pile. Through three-dimensional theoretical innovation, test technology optimization and engineering verification, the accuracy, reliability and practicability of low-strain detection of the column-bearing platform-pile system are comprehensively improved; an effective technical solution is provided for foundation pile integrity evaluation under complex conditions, and the method has important theoretical value and engineering application prospects.

The invention discloses an immersed tunnel joint numerical simulation method considering a foundation differential settlement effect, and belongs to the technical field of settlement simulation, the method comprises the following steps: constructing a joint rigidity weakening equivalent PD shell model based on a near field dynamics plate shell basic theory, and obtaining a motion equation under a global coordinate system through coordinate transformation; an ideal elastic-plastic soil spring is used for representing soil-tunnel interaction, and a flexible joint is simulated through a local weakening method; dispersing the immersed tunnel by a meshless method, applying a soil spring by volume force and applying differential settlement in a quasi-static state; and solving the equation by adopting a self-adaptive dynamic relaxation format, and outputting pipe joint longitudinal deformation, joint opening amount and cracking risk results. According to the method, the pipe joint and joint deformation of the immersed tunnel under continuous and discontinuous working conditions can be evaluated more accurately, and the possible cracking risk can be effectively predicted.

This invention belongs to the field of sensor and machine learning technology. It proposes a simulation test system and method for the mechanical properties of rock joints based on the principle of equivalent body force field. The main components include: constructing a geomechanical similarity model based on the principle of equivalent body force field, including a base and a rock mass physical model. When the base moves relative to the interface of the rock mass physical model, the friction between the base and the bottom surface of the rock mass physical model generates uniformly distributed shear stress, which generates equivalent body force intensity inside the rock mass physical model; collecting multidimensional sensing data when the base moves relative to the interface of the rock mass physical model; automatically identifying the rock mass joint extension trajectory based on the multidimensional sensing data and using an improved U-Net machine learning model; obtaining displacement field data through an improved particle image velocimetry combined with an optical flow algorithm; using a Bayesian inference inversion model to invert the mechanical parameters of the joint surface; and evaluating the uncertainty of the inversion results using the Markov chain Monte Carlo method.

The invention relates to the technical field of water conservancy projects, and particularly discloses a reservoir dam foundation rock mass in-situ shear strength testing device, which comprises a normal loading system, a shear loading system, a measuring system and an acoustic emission acquisition system, and is characterized in that the normal loading system comprises a first physical force column, a first force application plate, a roller row and a first driving mechanism; the shear loading system comprises a second physical force column, a force transmission top, a second force application plate and a second driving mechanism, the measuring system comprises a dial indicator, and the acoustic emission acquisition system comprises an acoustic emission sensor, a pre-amplifier, an acoustic emission host and a display. The invention further discloses a method for testing the in-situ shear strength of the reservoir dam foundation rock mass. According to the device and the method for testing the in-situ shear strength of the reservoir dam foundation rock mass, the whole damage process of the cleavage zone rock mass can be reproduced, the problems that signals are not easy to receive and positioning is inaccurate in a hydraulic engineering field in-situ test are effectively solved, and reliable data are provided for stability evaluation of the cleavage zone rock mass.

The invention belongs to the technical field of sensors and machine learning, and provides a rock mass joint mechanical property simulation test system and method based on the physical force field equivalence principle, and the method mainly comprises the steps: constructing a geomechanical similar model based on the physical force field equivalence principle, when the substrate moves relative to the interface of the rock mass physical model, the friction effect between the substrate and the bottom surface of the rock mass physical model generates uniformly distributed shear stress, and the shear stress generates equivalent physical strength in the rock mass physical model; collecting multi-dimensional sensing data when the substrate moves relative to the interface of the rock physical model; on the basis of multi-dimensional sensing data, an improved U-Net machine learning model is used for automatically recognizing a rock mass joint extension track, displacement field data is obtained through combination of improved particle image velocity measurement and an optical flow algorithm, and a Bayesian reasoning inversion model is used for inverting mechanical parameters of a joint surface. And the uncertainty of an inversion result is evaluated through a Markov chain Monte Carlo method.

The application belongs to the technical field of material analysis, and particularly relates to a method and device for obtaining the performance of a two-dimensional structural material. The method comprises the following steps: for a two-dimensional structure, the two-dimensional structure is subjected to a thermal wave and an acoustic wave with a constant amplitude and a constant surface, and the axial stress and the shear stress are free; a fractional order heat conduction model is established, and a motion model, a constitutive model and a thermo-acoustic coupling model are established without considering body force; the fractional order heat conduction model, the motion model, the constitutive model and the thermo-acoustic coupling model are subjected to dimensionless processing to obtain a control equation; the control equation is solved by using a potential function method and wave theory to obtain the mechanical performance and acoustic performance distribution results of the two-dimensional structure. The establishment of the fractional order heat conduction model and the solving of the control equation by using the potential function method and the wave theory can improve the accuracy of the solving results of the mechanical performance and acoustic performance distribution law of the two-dimensional structure.

The embodiment of the invention provides a method for controlling the shape of a hyperelastic plane strain plate in a gravity environment and related equipment, and belongs to the technical field of flexible materials and intelligent structures. The method comprises the following steps: firstly, establishing a hyperelastic plate control equation considering physical strength based on a finite strain theory, and deducing a dimensionality reduction plate equation through asymptotic analysis; secondly, innovatively analyzing and inversely solving an explicit expression of a growth function required for realizing any given target curved surface, and establishing an analytic relationship among a growth field, target shape geometric characteristics and physical power; and finally, preparing a pre-strain sample by designing a mold corresponding to the target configuration, and physically realizing a growth field. The gravity is converted into a design variable from an interference factor, the influence of the gravity is compensated through growth deformation, so that the plane strain plate structure with one side clamped and supported accurately keeps the expected shape under the gravity, and the method has the advantages of being high in control precision, high in design efficiency and easy to implement and can be applied to the fields of soft robots, space deployable structures and the like.