Application of an Improved Damage Detection Method for Building Structures Based on Ambient Vibration Measurements

Mehboob, Saqib; Khan, Qaiser uz Zaman; Ahmad, Sohaib

doi:10.1007/s13369-023-07713-z

Cited by 3 publications

(3 citation statements)

References 68 publications

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“…The matrices C and A, as well as the modal parameters, might be retrieved from the obsessive-compulsive matrix O p+1 . Instead of using system identification, the fact is employed that damages cause changes in A and C and subsequently in H p+1,q through Equations ( 4) and (5). This fact will be directly tested in the statistical test.…”

Section: Properties From Subspace-based System Identificationmentioning

confidence: 99%

“…Such techniques enable the evaluation of dynamic properties within customary operational conditions, obviating the requirement for human intervention. The evaluation of changes in damage-sensitive features derived from measurements in the system's current test state (possibly damaged or unhealthy) and its (undamaged or healthy) reference state can then be used to perform data-driven damage detection [4,5]. Because the features utilize ambient vibration data, statistical variability may have an impact on them.…”

Section: Introductionmentioning

confidence: 99%

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Statistical Subspace-Based Damage Detection and Jerk Energy Acceleration for Robust Structural Health Monitoring

et al. 2023

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This paper introduces a multistep damage identification process that is both straightforward and useful for identifying damage in buildings with regular plan geometries. The algorithm proposed in this study combines the utilization of a multi-damage sensitivity feature and MATLAB programming, providing a comprehensive approach for the structural health monitoring (SHM) of different structures through vibration analysis. The system utilizes accelerometers attached to the structure to capture data, which is then subjected to a classical statistical subspace-based damage detection test. This test focuses on monitoring changes in the data by analyzing modal parameters and statistically comparing them to the structure’s baseline behavior. By detecting deviations from the expected behavior, the algorithm identifies potential damage in the structure. Additionally, the algorithm includes a step to localize damage at the story level, relying on the jerk energy of acceleration. To demonstrate its effectiveness, the algorithm was applied to a steel shear frame model in laboratory tests. The model utilized in this study comprised a total height of 900 mm and incorporated three lumped masses. The investigation encompassed a range of scenarios involving both single and multiple damages, and the algorithm proposed in this research demonstrated the successful detection of the induced damages. The results indicate that the proposed system is an effective solution for monitoring building structure condition and detecting damage.

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Section: Properties From Subspace-based System Identificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Statistical Subspace-Based Damage Detection and Jerk Energy Acceleration for Robust Structural Health Monitoring

et al. 2023

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“…Traditional dynamic parameters commonly employed for damage identification include natural frequency 21–23 and mode shape 24,25 . Natural frequency can be easily measured from several accessible points on the structure and is typically less susceptible to experimental noise.…”

Section: Introductionmentioning

confidence: 99%

Comparative study of dynamic parameters for damage identification of carbon fiber reinforced polymer tube

Luo,

Yu,

Zhang

et al. 2024

Polymer Composites

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The primary objective of the paper is the numerical and experimental investigation related to the damage recognition effects for CFRP tubes of four dynamic parameters. Four damage identification indexes consisting of natural frequency‐based index, Mode Shape‐based index (MS), Mode Shape Curvature‐based index (MSC), and Modal Flexibility Curvature‐based index (MFC) are established by analyzing the dynamic parameter data obtained before and after damage occurs. The performances of dynamic parameters are thoroughly discussed in the context of numerical simulations and experiment. The results indicate that the effect of natural frequency is not as significant as that of mode shape. MFC has the most notable effectiveness out of the four indexes. The simulation peak index pair is predicted to rise from 0.3 to 0.6 as the damage in the simulation model increases by 25% from 12.5%, indicating that MFC can feedback the damage degree. Moreover, the circumferential curvature index exhibits superior performance compared to the axial curvature index. To enhance the accuracy of the axial curvature index, it is proposed to increase the number of measuring sites along the tube's long direction.Highlights Damage identification indexes of four dynamic parameters are established. Discuss the identification ability of dynamic parameters by simulation and test. Two numerical models of CFRP tube with delamination damage are established. Impact and modal tests are executed to study the ability of four indexes.

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A Two-Stage Method for Damage Identification in Concrete Gravity Dams by Using a Modal Curvature-Based Index and Pathfinder Algorithm

Mohebian,

Motahari,

Aval

2023

Arab J Sci Eng

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Application of an Improved Damage Detection Method for Building Structures Based on Ambient Vibration Measurements

Cited by 3 publications

References 68 publications

Statistical Subspace-Based Damage Detection and Jerk Energy Acceleration for Robust Structural Health Monitoring

Statistical Subspace-Based Damage Detection and Jerk Energy Acceleration for Robust Structural Health Monitoring

Comparative study of dynamic parameters for damage identification of carbon fiber reinforced polymer tube

A Two-Stage Method for Damage Identification in Concrete Gravity Dams by Using a Modal Curvature-Based Index and Pathfinder Algorithm

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