Non-benchmark damage probability imaging positioning method for concrete member

Abstract

The invention discloses a concrete member benchmark-free damage probability imaging positioning method which specifically comprises the following steps: S1, manufacturing a detected concrete member and intelligent aggregate sensors made of the same material, arranging an intelligent aggregate sensor array in the concrete member, and ensuring to cover a to-be-detected area of the structure; s2, each path intelligent aggregate in the array intelligent aggregates sequentially serves as a driver, ultrasonic longitudinal wave signals meeting the excitation requirement are loaded through a signal generator and a power amplifier, other intelligent aggregates serve as sensors to collect ultrasonic longitudinal wave focusing signals which are directly received and subjected to time inversion processing, and structural response is reflected; and S3, response signals directly received by similar sensing paths. The invention relates to the technical field of structural health monitoring. According to the non-benchmark damage probability imaging positioning method for the concrete member, the number of used sensors is reduced, and rapid, stable, effective, safe and accurate recognition and positioning of member damage are achieved.

Description

technical field [0001] The invention relates to the technical field of structural health monitoring, in particular to a method for imaging and positioning a concrete member with no reference damage probability. Background technique [0002] As a basic building material, concrete has been widely used in civil engineering structures due to its excellent mechanical properties, low cost, and convenient construction. It is important to identify these defects before a catastrophic accident occurs, and structural health monitoring is a way to ensure the structural integrity and safety of civil engineering. Due to the size and complexity of the actual structure, the health monitoring technology of concrete structures is still a challenging task, so in recent decades, people have devoted themselves to the damage detection of existing concrete structures, and for the future. Structures equipped with real-time structural health monitoring systems, along with the ability to determine d...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the prior art, the present invention provides a damage probability imaging positioning method for concrete components without a benchmark, which solves the problem that the existing damage positioning methods for concrete components are not efficient, are greatly affected by errors such as the environment and measurement, and can only Problems with a single lesion detected

Images