Modal analysis identification techniques

Maia, N. M. M.; Silva, J. M. M.

doi:10.1098/rsta.2000.0712

Cited by 82 publications

(51 citation statements)

References 12 publications

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“…The identification process is required to finely calibrate a parametric model to match the experimental data (Imai et al., ; Ghanem and Shinozuka, ). Methods for the estimation of the modal parameters have been studied over past years to solve the so‐called system identification problem (Aktan et al., ; Maia and Silva, ). In recent years techniques have been developed, operating in either the time or the frequency domain, based only on experimental response to an unknown excitation (output‐only techniques) that is hypothesized as white‐noise input (Desforges et al., ; Peeters and De Roeck, ; Parloo et al., ).…”

Section: Introductionmentioning

confidence: 99%

Output‐Only Identification and Model Updating by Dynamic Testing in Unfavorable Conditions of a Seismically Damaged Building

Foti

Gattulli

Potenza

2014

Computer aided Civil Eng

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Knowledge of the dynamic behavior of complex buildings subjected to near‐fault earthquakes may be enriched by valuable information obtained through rapid onsite dynamic testing to aid in the design of appropriate retrofitting interventions. Through a case study, the article demonstrates the enhancement in comprehension of the structural behavior obtained by means of a 2‐day testing campaign conducted on a complex building of the Engineering Faculty, Edifice A, which was heavily damaged in the 2009 L'Aquila earthquake. The onsite testing was carried out with a network of 13 accelerometers opportunely located to identify the dynamic characteristics of the structure by means of ambient noise‐induced vibration. Enhanced Frequency Domain Decomposition (EFDD) and Stochastic Subspace Identification (SSI) output‐only procedures were both used to identify the main modal parameters of two substructures of the building. The modal characteristics were used to update a finite element model representing small amplitude vibrations of the damaged structures. The direct comparison of the identified modal features with finite element models, in which damaged member locations are determined by onsite visual observations, has permitted identification of a model representative of the structural behavior of the building in the immediate postearthquake conditions.

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Section: Introductionmentioning

confidence: 99%

Output‐Only Identification and Model Updating by Dynamic Testing in Unfavorable Conditions of a Seismically Damaged Building

Foti

Gattulli

Potenza

2014

Computer aided Civil Eng

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“…Maia and Silva [21] observed that the Complex Exponential (CE) [22] method has been one of the most important and influential modal parameter estimation methods. It is a time domain single-input-single-output (SISO) method and appeared in 1970 when proposed by Spitznogle and Quazi [22].…”

Section: Multiple Degree Of Freedom Modal Parameter Estimationmentioning

confidence: 99%

Modal and Frequency Domain Based Techniques for Finite Element Model Correlation

Mercer¹,

Aglietti²,

Kiley³

2015

Proceedings of the 5th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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“…Research on structural vibration issues started in 1930s focusing on understanding the dynamic behavior of aircraft [1]; since that time, principles in structural dynamics have been widely considered in other applications. Identified dynamic characteristics are often used for model updating, design verification, and serviceability.…”

Section: Introductionmentioning

confidence: 99%

Automated decentralized smart sensor network for modal analysis

et al. 2009

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Understanding the dynamic behavior of civil engineering structures is important to adequately resolve problems related to structural vibration. The dynamic properties of a structure are commonly obtained by conducting a modal survey that can be used for model updating, design verification, and improvement of serviceability. However, particularly for largescale civil structures, modal surveys using traditional wired sensor systems can be quite challenging to carry out due to difficulties in cabling, high equipment cost, and long setup time. Smart sensor networks (SSN) offer a unique opportunity to overcome such difficulties. Recent advances in sensor technology have realized low-cost smart sensors with on-board computation and wireless communication capabilities, making deployment of a dense array of sensors on large civil structures both feasible and economical. However, as opposed to wired sensor networks in which centralized data acquisition and processing are a common practice, the SSN requires decentralized algorithms due to the limitation associated with wireless communication; to date such algorithms are limited. This paper proposes a new decentralized hierarchical approach for modal analysis that reliably determines the global modal properties and can be implemented on a network of smart sensors. The efficacy of the proposed approach is demonstrated through several numerical examples.

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Modal analysis identification techniques

Cited by 82 publications

References 12 publications

Output‐Only Identification and Model Updating by Dynamic Testing in Unfavorable Conditions of a Seismically Damaged Building

Output‐Only Identification and Model Updating by Dynamic Testing in Unfavorable Conditions of a Seismically Damaged Building

Modal and Frequency Domain Based Techniques for Finite Element Model Correlation

Automated decentralized smart sensor network for modal analysis

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