Provided are a shape model setting circuitry for setting a shape model of a target structure, a crack candidate plane in the shape model, and an observation plane of the shape model, an estimation model generator for generating an estimation model obtained from a numerical analysis of a structural analysis model by sequentially changing a boundary condition of the crack candidate plane in the structural analysis model generated from the shape model, and a crack state analyzer for estimating a position and a size of the crack by obtaining a distribution of load and displacement in the crack candidate plane at the same time by probabilistic inference through the application of an observation plane deformation vector indicating deformation of the observation plane obtained from measurement values, the estimation model, and a latent variable indicating presence or absence of the crack in the crack candidate plane.

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.

The hardness of a rail after the rail having a temperature equal to or higher than an austenite region temperature is forcibly cooled in a cooling facility is predicted. A plurality of sets of data for learning composed of a cooling condition data set and output data of hardness are acquired using a model that performs computing by using a cooling condition data set having at least a surface temperature of the rail before the start of cooling and the operating conditions of the cooling facility as input data and the hardness inside the rail after the forced cooling as output data.

The invention relates to a device for ascertaining mechanical properties, for example, the natural frequency, the damping or the natural vibration mode of a test specimen containing ferromagnetic material components, in particular a brake pad for a motor vehicle. An electromagnetic actuator, in particular an electromagnet, is provided for exerting a magnetic attractive force onto the test specimen so that the actuator exerts a force impulse that imparts the test specimen with vibrations whose spectrum of vibration contains at least one natural frequency vibration of the test specimen.

Disclosed are a test method and algorithm for an aging life of a composite, and a use thereof. The test method and algorithm includes: respectively placing specimens in four temperature environments to undergo damp and hot, high and low temperature impact and high and low temperature alternating cycle for a specified time; testing the physical, chemical and electrical properties of the specimens by using laminated combined test pieces; fitting parameters in a micro-gasification expansion oscillation equation; fitting constants in a kinetic correlation equation (2) of the parameters; calculating new values of the parameters in any temperature environment by using the constant equation (2); and substituting the new values of the parameters back into the equation (1), so as to evaluate or predict the physical, chemical and electrical properties of the specimens at any time.

It is an object to provide a stress history measurement method and a stress sensor by which the stress history of an object being measured can be measured easily with high accuracy over a wide stress measurement range. In the stress history measurement method, the stress history to which the object being measured has been subjected is measured on the basis of the ratio of twinned calcite particles after the object to be measured has been subjected to an external force, the object having a stress sensor embedded therein and capable of being deformed elastically when being subjected to the external force, the sensor including a number of calcite particles. The stress sensor is configured such that a number of calcite particles are hardened by a resin with adjacent particles kept in contact with each other.

Creating a calibration curve representing a relationship between a luminescence intensity of stress luminescence and a stress includes: forming a second stress luminescent film on a surface of a test piece; applying external force to the test piece; detecting external force to be applied to the test piece; photographing the test piece under application of external force; creating a luminescence intensity-stress curve plotting a relationship between a luminescence intensity of stress luminescence and a stress, on the basis of a photographed luminescent image of the second stress luminescent film and a detection value of the external force; and creating a regression equation consisting of a fourth or higher degree polynomial representing a regression relationship of the stress with respect to the luminescence intensity by polynomial regression analysis of the luminescence intensity-stress curve.

Provided is a material testing machine (1) including: a load mechanism (12) that applies a load to a test object; a load measurement device that measures the load applied to the test object; and a control device (30) that performs a feedback control for the load mechanism (12) based on a deviation between a measurement value of the load and a target value of the load, in which a change in a physical quantity generated in the test object due to the load is measured, and the control device (30) includes a hunting detection unit (66) that detects hunting by comparing a frequency spectrum obtained by converting time-series data of the measurement value with a frequency spectrum obtained by converting the time-series data of the target value.

Methods and systems are provided for characterizing interfacial tension (IFT) of reservoir fluids, which involves obtaining fluid property data that represents fluid properties of a reservoir fluid sample measured downhole at reservoir conditions, and inputting the fluid property data to a computational model that determines a value of oil-water IFT of the reservoir fluid sample based on the fluid property data. In embodiments, the fluid property data represents single-phase fluid properties of the reservoir fluid sample, such as fluid density and viscosity of an oil phase of the reservoir fluid sample and fluid density of a water phase of the reservoir fluid sample. In embodiments, the computation model can be based on machine learning or analytics combined with a thermodynamics-based physics model.

A numerical simulation tool for progressive failure in laminates utilizes a low fidelity approach. The numerical model includes an enriched element that is initially in a low fidelity form. The enriched elements may increase fidelity by splitting locally to simulate an ongoing damage process such as delamination.