Sensor layout method and structure identification method suitable for structural health monitoring

Abstract

The invention discloses a sensor layout method suitable for structure health monitoring and a structure identification method. The sensor layout method comprises the following steps of through a finite element method, acquiring strain curves of a structure under various conditions; acquiring standard curves under the various conditions; carrying out linear superposition processing on the standard curves under the various conditions to acquire a characteristic curve; picking an inflection point, a concave point and a convex point on the characteristic curve as characteristic points; selecting new characteristic points till that all the units are selected as the characteristic points and acquiring a curve of an average error and a characteristic point number; and selecting a point with a maximum slope change on the acquired curve of the average error and the characteristic point number and determining an arrangement scheme of a sensor. In the invention, from two aspects of sensor optimization arrangement and area distribution sensing, a traditional problem that deflection of a civil engineering structure is difficult to be accurately measured is solved; and the limited sensors are used to realize effective monitoring and performance assessment of a large-scale civil engineering structure.

Description

technical field [0001] The invention relates to the field of structural health monitoring and safety assessment of civil engineering and traffic engineering. The invention provides an effective monitoring method for a structure or a structure group, which can realize the safe and effective monitoring of a huge and complex large structure by using limited sensors. Background technique [0002] Developed countries are facing bottlenecks such as highly inflated maintenance and management costs of engineering structures and shortage of funds. my country's infrastructure is larger in size, coupled with problems such as short-lived structures, the pressure on security and maintenance management costs will become more and more serious. Therefore, preventive / predictive maintenance management that uses structural health monitoring methods to detect structural damage and hidden dangers as early as possible, realize structural treatment of minor diseases and prevent major diseases, en...

AI Technical Summary

Problems solved by technology

Various health monitoring systems installed in many important engineering structures at home and abroad have played an active role in responding to emergencies, but the industry generally believes that the "health" monitoring and evaluation of structures cannot be truly realized. The main problems are: First, the types of sensors Many, complex systems and poor durability; second, it is difficult to analyze structural damage and performance from massive monitoring data

However, the existing strain gauges, including the most advanced FBG sensors, are all point sensors, which are too localized for large-scale civil engineering structures, and it is difficult to effectively capture damage unless the strain gauges are just pasted on the structure. Abnormal strain values ​​can only be displayed when there is a damaged part (such as a crack); when the strain sensor is pasted near the damaged part of the structure, the strain may decrease due to the release of local stress after the damage occurs, so it is difficult to effectively capture the damage

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