Dynamic Identification Techniques to Numerically Detect the Structural Damage

Foti, Dora

doi:10.2174/1874836801307010043

Cited by 31 publications

(10 citation statements)

References 18 publications

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“…All natural frequencies detected using coherence spectra analysis have broad margin as shown in Figure 5 , Figure 6 , Figure 7 , Figure 8 , Figure 9 and Figure 10 . In order to improve the accuracy of the calculated modal properties, operational modal analysis (OMA) methods such as the enhanced frequency domain decomposition (EFDD) in the frequency domain and the stochastic subspace identification (SSI) in the time domain can be considered to analyze the experimental data more accurately ([ 17 , 28 ]).…”

Section: Measurement Based System Identification Of Green Buildingmentioning

confidence: 99%

Field Measurement-Based System Identification and Dynamic Response Prediction of a Unique MIT Building

Cha

Trocha

Büyüköztürk

2016

Sensors

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Abstract:Tall buildings are ubiquitous in major cities and house the homes and workplaces of many individuals. However, relatively few studies have been carried out to study the dynamic characteristics of tall buildings based on field measurements. In this paper, the dynamic behavior of the Green Building, a unique 21-story tall structure located on the campus of the Massachusetts Institute of Technology (MIT, Cambridge, MA, USA), was characterized and modeled as a simplified lumped-mass beam model (SLMM), using data from a network of accelerometers. The accelerometer network was used to record structural responses due to ambient vibrations, blast loading, and the October 16th 2012 earthquake near Hollis Center (ME, USA). Spectral and signal coherence analysis of the collected data was used to identify natural frequencies, modes, foundation rocking behavior, and structural asymmetries. A relation between foundation rocking and structural natural frequencies was also found. Natural frequencies and structural acceleration from the field measurements were compared with those predicted by the SLMM which was updated by inverse solving based on advanced multiobjective optimization methods using the measured structural responses and found to have good agreement.

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Section: Measurement Based System Identification Of Green Buildingmentioning

confidence: 99%

Field Measurement-Based System Identification and Dynamic Response Prediction of a Unique MIT Building

Cha

Trocha

Büyüköztürk

2016

Sensors

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“…Besides, rigidity and load carrying capacity of the beams damaged by corrosion are affected [9,12,13].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Residual Life of concrete structures affected by reinforcement corrosion

Ortega

Robles

2016

HBRC Journal

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The corrosion process in reinforced concrete structures, exposed to marine or industrial environments, causes the appearance and growth of cracks. As a consequence, this produces a slow degradation of the material physical properties, steel fragilization and a decrease of the bond strength and steel reinforcements, cross section, affecting its static and dynamic behavior.In the second half of the twentieth century, the importance of constructions' service life was noticed, so different techniques have been developed to predict the Residual Life of existing structures, in order to increase it. This situation has a significant economic impact on society.This paper presents a non-destructive technique to predict the Residual Life of reinforced concrete beams having different cracking levels, as results of steel reinforcement corrosion, considering the variation produced in the dynamic behavior, through the variation of the first natural vibration frequency.The reinforcement corrosion is an electrochemical process that can be quantified by measuring the intensity of the current on the concrete surface. In this paper, to simulate the corrosion process, a current is externally applied to the studied structure reinforcement and then crack widths and vibration natural frequencies are measured. Based on these measurements a mathematical model is proposed to predict structure remaining life. ª 2014 Production and hosting by Elsevier B.V. on behalf of Housing and Building National Research Center.

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“…Foti (2007, 2013) discussed (i) the Change in Mode Shapes Method and (ii) Mode Shapes Curvature Method for predicting damage location and severity [10][11][12][13][14][15]. In order to eliminate the possibility of false alarm, the CDF was calculated as: where, N is the total no of modes considered, -curvature mode shape of intact structure and that of the damaged structure.…”

Section: Damage Detection: Curvature Damage Factor (Cdf) Approachmentioning

confidence: 99%

Non-Model Approach Based Damage Detection in RC Frame with Masonry Infill

Bhatia

Chourasia

Pal

2018

5th International Electronic Conference on Sensors and Applications

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The paper focuses on real-time damage detection based on vibration studies carried out by the Central Building Research Institute (CBRI) structural health monitoring team. The experiment was performed on a 1:3 scaled model of a six- story reinforced concrete (RC) frame with masonry infill in the building dynamics laboratory of CBRI. The forward problem is attended by inducing step-by-step damage in infill to investigate the changes in dynamic response as a result of changes in the physical properties of the structure. Recorded time histories are processed for frequency response spectra (FRS) with fast fourier transform (FFT) and mode shapes are obtained. Changes in natural frequency and modal curvature for each of the five damage cases are analysed for damage detection and location in the structure. An algorithm for damage identification viz. curvature damage factor (CDF) approach is presented.

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Dynamic Identification Techniques to Numerically Detect the Structural Damage

Cited by 31 publications

References 18 publications

Field Measurement-Based System Identification and Dynamic Response Prediction of a Unique MIT Building

Field Measurement-Based System Identification and Dynamic Response Prediction of a Unique MIT Building

Assessment of Residual Life of concrete structures affected by reinforcement corrosion

Non-Model Approach Based Damage Detection in RC Frame with Masonry Infill

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