Abstract

Deterministic damage detection methods often fail in practical applications due to ever-present uncertainties. Moreover, vibration-based model updating strategies are easily affected by measurement noises and could encounter ill-conditioning problems during inverse solutions. On this account, a model-free method has been proposed combining modal interval analyses with static measurements. Structural geometrical dimensions, material parameters and external loads are expressed by interval variables representing uncertainties. Mechanical formulas for static responses are then extended to their interval forms, which are subsequently solved using classic interval and modal interval analyses. The analytical interval envelopes of static responses such as deflections and strains are defined by the interval solutions, and damage can be detected when the measured responses intersect the envelopes. By this approach, potential damage can be found in a fast and rough way without any inverse solution process such as model updating. The proposed method has been verified against both numerical and experimental reinforced concrete beams whose strains were taken as the desirable responses. It was found that the strain envelopes provided by modal interval analysis were narrower than those by classic interval analysis. Modal interval analysis effectively avoids the phenomenon of interval overestimation. In addition, the intersection point also identifies the current external load, providing a loading alarm for structures.

Highlights

  • IntroductionCivil infrastructures will encounter performance deterioration after long-term service

  • Civil infrastructures will encounter performance deterioration after long-term service.To guarantee their safety, structural health monitoring systems have been installed for large-scale civil structures such as bridges in recent years [1,2]

  • It was found that the interval estimated by classical interval analysis (CIA) was larger than the exact solution of [−10, −4], which is called an interval overestimation

Read more

Summary

Introduction

Civil infrastructures will encounter performance deterioration after long-term service. When sufficient statistical information on structural parameters and responses is not available or will incur high costs, uncertainty-based damage detection must rely on fuzzy theories [9,10] or interval analyses [11,12]. Modern techniques using elastic wave propagation with the aid of the spectral finite element method have been investigated for the purpose of structural health monitoring [27,28] Their performance is constrained by the material inhomogeneity or geometrical irregularities of a structure [28]. This study attempts to develop a model-free method for fast and robust damage detection of reinforced concrete structures considering different types of uncertainties. The detection results have been compared with those calculated using CIA

Classical Interval Analysis
Modal Interval Analysis
Damage Detection Strategy
A Numerical
A Numerical Reinforced Concrete
Experimental Observations and Damage Detection
Laboratory
Plane cross-section experimental
Discussions
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call