Statistical Theory of the Vector Random Decrement Technique

Asmussen, J. C.; Brincker, Rune; Ibrahim, S. R.

doi:10.1006/jsvi.1999.2300

Cited by 46 publications

(29 citation statements)

References 7 publications

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“…By stacking a large number of windows with identical initial conditions, ambient vibrations remain stationary and the impulse response of the structure is revealed. Vandiver et al (1982) and Asmussen et al (1999) provide details on the theory of RDT and its mathematical formulation that can be simplified by:…”

Section: Damping and Frequency Using The Random Decrement Techniquementioning

confidence: 99%

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The Analysis of Long‐Term Frequency and Damping Wandering in Buildings Using the Random Decrement Technique

Mikael¹,

Guéguen²,

Bard³

et al. 2013

Bulletin of the Seismological Society of America

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The characterization and monitoring of buildings is an issue that has attracted the interest of many sectors over the last two decades. With the increasing use of permanent, continuous and real-time networks, ambient vibrations can provide a simple tool for the identification of dynamic building parameters. This study is focused on the long-term variation of frequency and damping in several buildings, using the Random Decrement Technique (RDT). RDT provides a fast, robust and accurate long-term analysis and improves the reliability of frequency and damping measurements for structural health monitoring. This reveals particularly useful information in finding out precisely how far changes in modal parameters can be related to changes in physical properties. This paper highlights the reversible changes of the structure's dynamic parameters, correlated with external forces, such as temperature and exposure to the sun. Contrasting behaviors are observed, including correlation and anti-correlation with temperature variations.

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Section: Damping and Frequency Using The Random Decrement Techniquementioning

confidence: 99%

“…The choice of initial conditions is a key point in ensuring the stability of the Random Decrement signature. The null displacement and positive velocity conditions proposed by Cole (1973) and verified by Asmussen et al (1999) were used in the present work. The number of…”

Section: Damping and Frequency Using The Random Decrement Techniquementioning

confidence: 99%

The Analysis of Long‐Term Frequency and Damping Wandering in Buildings Using the Random Decrement Technique

Mikael¹,

Guéguen²,

Bard³

et al. 2013

Bulletin of the Seismological Society of America

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show abstract

“…It is the reverse of the MAC in that it measures the correlation at each degree-of-freedom (DOF) averaged over the set of correlated mode pairs. The COMAC identifies the co-ordinates at which two sets of mode shapes do not agree, and is defined as (Lieven and Ewins (1988)): (8) where n CMP is the number of correlated mode shapes. Although the COMAC can be useful as a tool to locate a discrepancy, it does not have a physical basis.…”

Section: Mode Shape Changesmentioning

confidence: 99%

A Review of Vibration-based Structural Health Monitoring with Special Emphasis on Composite Materials

Montalvão¹,

Maia²,

Ribeiro³

2006

The Shock and Vibration Digest

427

243

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Structural health monitoring and damage detection techniques are tools of great importance namely in the offshore, civil, mechanical and aeronautical engineering communities, either due to safety reasons or to the economical benefits it may bring. The need for detecting damage in complex structures has led to the development of a vast amount of techniques, in particular those based upon structural vibration analysis. In the present article, some of the latest advances in Structural Health Monitoring and Damage Detection have been covered, with an emphasis on composite structures, given the fact that this kind of materials have currently a wide range of engineering applications.

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“…When the assumption of the white noise input is not satisfied, application of random decrement signature can be useful. This index is the correlation function with initial condition and has been considered in processing the vibration data due to passing of vehicles on road bridges (Asmussen, Brincker, & Ibrahim, 1999).…”

Section: Modal Identification and Its Interpretation On Basis Of Softmentioning

confidence: 99%

Modal shape identification of the vibration data of bridge dynamic test using fuzzy clustering

Ataei

Mohammadzade

2010

Expert Systems with Applications

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Statistical Theory of the Vector Random Decrement Technique

Cited by 46 publications

References 7 publications

The Analysis of Long‐Term Frequency and Damping Wandering in Buildings Using the Random Decrement Technique

The Analysis of Long‐Term Frequency and Damping Wandering in Buildings Using the Random Decrement Technique

A Review of Vibration-based Structural Health Monitoring with Special Emphasis on Composite Materials

Modal shape identification of the vibration data of bridge dynamic test using fuzzy clustering

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