There is provided a surface shape defect generating region estimating method for estimating a generating region of a surface shape defect of a deformation-processed product obtained by performing deformation processing with respect to a workpiece, the method including: a first stress distribution obtaining process of obtaining first stress distribution σ.sub.T1; a second stress distribution obtaining process of obtaining a second stress distribution σ.sub.(T2); a comparative stress distribution obtaining process of obtaining comparative stress distribution σ.sub.(T1, T2); a division comparative stress distribution obtaining process of obtaining division comparative stress distribution σ.sub.(T1, T2); and a surface shape defect generating region estimating process of estimating whether or not each of the divided regions D.sub.K is a generating region of the surface shape defect.

An apparatus is provided for predicting propagation of a crack in a structure. A finite element model is provided that represents the layers of the structure by meshes of elements having interfaces defined between adjacent elements in orthogonal potential crack planes. Overlapping interface elements are defined at the interfaces and include a plurality of node pairs spaced apart along multiple interfaces and having a node cluster therebetween that includes bound node pairs. The nodes of each node pair are coincident with respective nodes of the adjacent elements on opposite sides of the interface. An analysis of the finite element model under an external load is performed in which a crack tip is established at a node cluster. A strain energy release rate between the nodes of the bound node pairs of the node cluster is calculated and based thereon propagation of the crack is identified.

A bridge damage identification method considering uncertainty is used for damage identification based on a convolutional neural network. A domain classifier is added to form a domain adversarial transfer network, a finite element model of a bridge and a time domain acceleration signal of a real structure serve as input, and parameters in a feature extractor are continuously updated in an adversarial process of the domain classifier and the feature extractor, so as to design a brand-new feature extractor, and to achieve a purpose that extracted features are only sensitive to damage. The bridge damage identification method can solve the problem that model-based methods for bridge damage identification are influenced by environment uncertainty or modeling error to generate a difference between the finite element model and the real structure, resulting in reduction in damage identification performance of the method in practical application.

A bridge damage identification method considering uncertainty is used for damage identification based on a convolutional neural network. A domain classifier is added to form a domain adversarial transfer network, a finite element model of a bridge and a time domain acceleration signal of a real structure serve as input, and parameters in a feature extractor are continuously updated in an adversarial process of the domain classifier and the feature extractor, so as to design a brand-new feature extractor, and to achieve a purpose that extracted features are only sensitive to damage. The bridge damage identification method can solve the problem that model-based methods for bridge damage identification are influenced by environment uncertainty or modeling error to generate a difference between the finite element model and the real structure, resulting in reduction in damage identification performance of the method in practical application.

A method of evaluating a residual stress including a condition setting step of setting a processing condition of water jet peening for a processing target; an analysis step of analyzing a jet flow when a fluid is injected from a nozzle model to a processing target model in accordance with the processing condition, and obtaining a void fraction which is a volume fraction of babbles contained in a unit volume of the fluid, and a collapse fraction, which is a volume fraction of the bubbles which collapse in a unit time in the unit volume of the fluid, at each position on a surface of the processing target model; an impact pressure correlation value calculating step of obtaining an impact pressure correlation value, which is a product of the void fraction and the collapse fraction at each position; an experimental value acquisition step of obtaining an impact pressure experimental value.

Computer-implemented methods for higher-order simulation, design and implementation of multi-phase, multi-fluid flows are disclosed. In one embodiment, a computer-implemented method is provided for a higher-order simulation, design and implementation of a strategy for injecting a plurality of stimulation fluids into a subterranean formation. In another embodiment, a computer-implemented method for higher-order simulation and enhancement of the flow of production fluids from a subterranean formation is disclosed. In a third embodiment, a computer-implemented higher-order simulation of the behavior of a plurality of fluids at an intersection of at least two geometrically discrete regions is disclosed.

Simulation system for selecting an alloy and a production process for a workpiece to be produced having amorphous properties, wherein the system includes : an input unit, for inputting a requirements profile for the workpiece to be produced, at least one memory unit, to store information data, wherein the information data specifies information concerning physical and/or chemical and/or mechanical properties of a number of alloys for manufacturing workpieces having amorphous properties and information concerning production processes, an analysis unit, to simulate a number of workpieces according to the requirements profile and the information data to create simulation data, to assess the simulated workpieces on the basis of the simulation data and the requirements profile, to select an alloy and a production process for the workpiece to be produced from assessment, and an output unit, to output the selected alloy and the selected production process.

This crack estimation device includes: a data determination unit which determines a shape model of a target structure to be inspected, and a crack occurrence plane and an observation plane in the shape model; an estimation data calculation unit which outputs an estimation model for estimating a state of the crack occurrence plane from a state of the observation plane, on the basis of a matrix that associates, with each other, the state of the crack occurrence plane and the state of the observation plane, obtained through numerical analysis of a structural analysis model generated from the shape model; and a crack estimation unit which estimates a state of a crack at the crack occurrence plane on the basis of the estimation model and a measurement value for the target structure actually measured at the observation plane.

Provided in the present invention are a geologically constrained infrared imaging detection method and system for an urban deeply-buried strip-like passage, pertaining to the crossing fields of geophysics and remote sensing technology. The method includes: establishing an urban hierarchical three-dimensional temperature field model according to urban street DEM data and geological data corresponding to urban streets; acquiring urban stratum geological background heat flux according to the urban hierarchical three-dimensional temperature field model; using a total solar radiation energy distribution model to calculate urban surface total solar radiation energy; sequentially filtering out the urban surface total solar radiation energy and the urban stratum geological background heat flux from an infrared remote sensing image of a region corresponding to a strip-like underground target, to acquire a perturbation signal image of an urban street deeply-buried strip-like passage; and using grayscale closed-operation plus an edge detection algorithm to perform detection and positioning after preprocessing the perturbation signal image of the urban street deeply-buried strip-like passage, to acquire location information of an urban strip-like underground passage. The present invention achieves inverse detection and positioning of an urban street deeply-buried strip-like passage.

Provided in the present invention are a geologically constrained infrared imaging detection method and system for an urban deeply-buried strip-like passage, pertaining to the crossing fields of geophysics and remote sensing technology. The method includes: establishing an urban hierarchical three-dimensional temperature field model according to urban street DEM data and geological data corresponding to urban streets; acquiring urban stratum geological background heat flux according to the urban hierarchical three-dimensional temperature field model; using a total solar radiation energy distribution model to calculate urban surface total solar radiation energy; sequentially filtering out the urban surface total solar radiation energy and the urban stratum geological background heat flux from an infrared remote sensing image of a region corresponding to a strip-like underground target, to acquire a perturbation signal image of an urban street deeply-buried strip-like passage; and using grayscale closed-operation plus an edge detection algorithm to perform detection and positioning after preprocessing the perturbation signal image of the urban street deeply-buried strip-like passage, to acquire location information of an urban strip-like underground passage. The present invention achieves inverse detection and positioning of an urban street deeply-buried strip-like passage.