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.

A method of analyzing a substrate contacting a fluid present in an industrial system is provided. The method comprises creating a series of digital images of the substrate while contacting the fluid present in the industrial system. A region of interest in the series of digital images of the substrate is defined. A corrosion feature in the region of interest in the series of digital images of the substrate is identified. The corrosion feature in the region of interest in the series of digital images of the substrate is analyzed to determine a corrosion trend of the industrial system. In certain embodiments of the method, the fluid is industrial water, and the industrial system is an industrial water system.

A method of predicting a corrosion loss of a metal material, the method including: inputting a prediction request point including a use period of the metal material for which a corrosion loss is desired to be predicted and second environmental parameters indicating a use environment of the metal material in the use period; calculating a similarity degree between first environmental parameters in corrosion loss data and the second environmental parameters in the prediction request point; dimensionally reducing the first environmental parameters in the corrosion loss data to a latent variable taking the similarity degree into consideration; and predicting a corrosion loss of the metal material for the prediction request point based on a prediction expression constructed using the latent variable and the similarity degree.

A control unit of an information processing apparatus acquires the number of times of operations or an operation time of an operation unit provided in a vehicle at a time at which the operation unit has operated, acquires surroundings information around the vehicle at the time at which the operation unit has operated, and calculates a wear degree of the operation unit by multiplying a wear coefficient which corresponds to surroundings indicated by the acquired surroundings information by the acquired number of times of operations or operation time.

This disclosure provides techniques for detecting and/or inhibiting corrosion of a distribution/recirculation network for a fluid, e.g., an aqueous matrix (liquid). For example, the disclosed techniques can be used to measure and/or predict degeneration of pipes, solder joints and various other plumbing fixtures in a water distribution network or heat transfer recirculation network caused as a function of variation in environmental parameters. In one embodiment, a system builds a database by measuring metal corrosion (e.g., from lead or copper pipe, solder joint or other type of plumbing vessel or fixture) and correlating degradation of a layer of protective scale and/or metal concentrations present with measured environmental parameters; later, as conditions vary, the database (or associated correlation weights/values) may be used to predict degradation of scale health and/or corrosion stemming from short and/or long term water conditions, and to effectuate advance mitigation.

A carbon nanotube (CNT) assembled thin film modified steel wire array electrode, a preparation method and application thereof. The array electrode includes: a surface of a steel wire is negatively modified, and the surface of the steel wire is assembled with a plurality of layers of CNT thin films; one end of the steel wire is welded to a conductor, and a welding position between the steel wire and the conductor is wrapped with an insulating heat shrinkable tube; and the insulating template and the steel wire are encapsulated and cured by using an epoxy resin. The preparation method of the array electrode of the invention mainly includes the following steps: first, performing negative modification on a steel wire, then, assembling CNT thin films on the steel wire, and preparing the modified array steel wire into the CNT assembled thin film modified steel wire array electrode.

An apparatus for testing corrosion can comprise a frame and a rack having a generally planar face, a first edge, and a second edge. The rack can be pivotably coupled to the frame. The apparatus can be configured for selectively orienting the rack to position the first edge of the rack with a select vertical offset with respect to the second edge of the rack.

An apparatus for testing corrosion can comprise a frame and a rack having a generally planar face, a first edge, and a second edge. The rack can be pivotably coupled to the frame. The apparatus can be configured for selectively orienting the rack to position the first edge of the rack with a select vertical offset with respect to the second edge of the rack.

A deterioration diagnosis device according to the present invention includes: a memory; and at least one processor coupled to the memory. The processor performs operations. The operations include: storing deterioration degree histories for portions of a structure to be diagnosed; acquiring reference information related to deterioration of the portions; generating a deterioration prediction model for predicting the deterioration degrees of the portions based on the histories and the reference information; predicting the deterioration degrees of the portions at a prediction time by using the generated deterioration prediction model; selecting, from among the portions, a portion where the deterioration degree predicted at the prediction time meets a predetermined condition; and outputting information relating to the selected portion and the predicted deterioration degree of the selected portion.

The present disclosure provides a determining device for the weathering resistant capability of clastic rocks in a tunnel based on feldspar features, which overcomes the shortcomings of current evaluation methods, is easy to operate, can be used to detect the type, content, and crystal structure of feldspar in a rock stratum, and integrates the information by combining a computer deep learning method to determine the weathering resistant capability of clastic rocks containing different types of feldspar in a tunnel, with high accuracy.