A method for material lifetime evaluation includes: causing a stress to be applied to a material surface of a component based at least on a cycle of load properties over time; causing an image of the material surface to be captured as a captured image of a complete in-situ field; determining an area of a hysteresis of a stable surface strain region in a stress-strain curve of the material surface to determine a loss energy (first damage parameter) for low cycle fatigue modeling; determining a deformation energy (second damage parameter) for high cycle fatigue monitoring; determining a failure parameter based on at least one of the first damage parameter and the second damage parameter; comparing the failure parameter to a record in a database; and determining a remaining life of the component based on comparison of the failure parameter to the record in the database.

Methods of using micro-specimens for testing an additive manufactured material or a part made from the additive manufactured material. The methods include testing small and large test specimens taken from an additive manufactured part and from a blank constructed from the additive manufactured material. Correction factors based on the test specimens are calculated and applied to a calculated material property of the additive manufactured material.

Methods of using micro-specimens for testing an additive manufactured material or a part made from the additive manufactured material. The methods include testing small and large test specimens taken from an additive manufactured part and from a blank constructed from the additive manufactured material. Correction factors based on the test specimens are calculated and applied to a calculated material property of the additive manufactured material.

Systems and methods include a predictor module configured to receive an input, e.g., composition parameters and processing parameters. A processor processes the input to predict a material property, e.g., fatigue strength, of an alloy based on the input. The processor outputs the predicted fatigue strength of the alloy for display.

This disclosure describes a novel method for predicting or estimating rock mechanical properties from cuttings at a particular depth based on determining the facies, plotting the facies on a ternary diagram with clay, silica and carbonate endpoints, and estimating rock mechanical properties based on comparison to a database of core samples from vertical wells that is also organized by depth and facies. We have shown that datapoints at similar locations on the ternary diagram will have fairly similar rock properties. These rock properties can be used to improve the reliability of a variety of reservoir modeling platforms, which can then be used in designing and implementing completion, stimulation and production plans.

A material testing machine is provided. A screen for numerical value input is provided with numerical value input keys that are composed of a decimal point key, number keys of 0-9 and a symbol changing key for changing symbols of plus or minus of input numerical values, operation keys assigned to four arithmetic operations, an equal key for obtaining a calculation result, an input column in which values that are input using numerical value input keys and so on are displayed, a clear key for deleting the numerical values or operations input previously and emptying the input column, a backspace key for deleting the numerical values in the input column character by character, and parameter buttons assigned to parameters stored in a storage part.

Nano-indentation test to determine mechanical properties of reservoir rock can be implemented as multi-stage or single-stage tests. An experimental nano-indentation test (multi-stage or single-stage) is performed on a solid sample. A numerical nano-indentation test (multi-stage or single-stage) is performed on a numerical model of the solid sample. One or more experimental force-displacement curves obtained in response to performing the experimental nano-indentation test and one or more numerical force-displacement curves obtained in response to performing the numerical test are compared. Multiple mechanical properties of the solid sample are determined based on a result of the comparing.

The present disclosure relates to an assessment method for a polyethylene resin, and more specifically to a new assessment method for a polyethylene resin which can accurately determine long-term durability of a molded article by using physical properties that are easily measurable in a short time.

A high-speed tensile testing machine conducts a tensile test on a test piece by applying a test force to the test piece. The high-speed tensile testing machine includes a detection unit configured to detect a test period indicating a time from when the test piece starts to deform under action of the test force to when the test piece breaks, and a determination unit configured to determine validity of a test result of the tensile test, on the basis of the test period and natural vibration of the high-speed tensile testing machine. Specifically, in the case where the test period is a predetermined multiple or more of a specific cycle indicating a cycle of the natural vibration of the high-speed tensile testing machine, the determination unit determines that the test result of the tensile test is valid.

Parametric model based computer implemented methods for determining the stiffness of a bone and systems for estimating the stiffness of a bone in vivo. The computer implemented methods include determining a complex compliance frequency response function Y(f) and an associated complex stiffness frequency response function H(f) and independently fitting a parametric mathematical model to Y(f) and to H(f). The systems include a device for measuring the stiffness of the bone in vivo and a data analyzer to determine a complex compliance frequency response function Y(f) and an associated complex stiffness frequency response function H(f).