This paper presents two different recursive prediction error method (RPEM} implementations of multivariate Auto-Regressive Moving- Average (ARMAV) models for identification of a time variant civil engineering structure subject to an earthquake. The two techniques are tested on measurements made during a pseudo dynamic test performed at the European Laboratory for StructuralAssessment (ELSA) on a full scale model of a four storey RC-building. Further, the estimated natural frequencies obtained with the two techniques are compared with natural frequencies calculated by using stiffness secant matrices estimated in a previous paper (Rytter et al.). The results obtained by the two ARMA V techniques correspond to results obtained using secant mat...
© 2003 Dr. Emad Abu-AishehThe aim of this thesis covers the development and application of the time ...
A statistical pattern recognition technique was developed based on the time series analysis to detec...
Structural damage assessment under external loading, such as earthquake excitation, is an important ...
This paper presents system identification results of an RC-structure using multivariable autoregress...
peer reviewedIn this paper, the application of auto-regressive moving average vector models to syste...
The usefulness of simple linear mathematical models for representing the behaviour of tall buildings...
ABSTRACT Structural design spectra are based on smoothed linear response spectra obtained from diffe...
This paper considers estimation of the maximum softening for a RC-structure subjected to earthquake ...
The most common approach in Structural Health Monitoring (SHM) consists in performing accelerometric...
A large number of civil structures were designed according to old seismic code that do not meet curr...
This paper presents an application of ARMAV models in the fields of system identification and damage...
identification and damage detection. It is shown how to estimate the modal parameters as well as the...
Damage detection techniques are the core in structural health moninoring. To obtain damage sensitive...
The usefulness of simple linear mathematical models for representing the behaviour of tall buildings...
The analysis of strong and weak motion recordings in existing structures is critical for understandi...
© 2003 Dr. Emad Abu-AishehThe aim of this thesis covers the development and application of the time ...
A statistical pattern recognition technique was developed based on the time series analysis to detec...
Structural damage assessment under external loading, such as earthquake excitation, is an important ...
This paper presents system identification results of an RC-structure using multivariable autoregress...
peer reviewedIn this paper, the application of auto-regressive moving average vector models to syste...
The usefulness of simple linear mathematical models for representing the behaviour of tall buildings...
ABSTRACT Structural design spectra are based on smoothed linear response spectra obtained from diffe...
This paper considers estimation of the maximum softening for a RC-structure subjected to earthquake ...
The most common approach in Structural Health Monitoring (SHM) consists in performing accelerometric...
A large number of civil structures were designed according to old seismic code that do not meet curr...
This paper presents an application of ARMAV models in the fields of system identification and damage...
identification and damage detection. It is shown how to estimate the modal parameters as well as the...
Damage detection techniques are the core in structural health moninoring. To obtain damage sensitive...
The usefulness of simple linear mathematical models for representing the behaviour of tall buildings...
The analysis of strong and weak motion recordings in existing structures is critical for understandi...
© 2003 Dr. Emad Abu-AishehThe aim of this thesis covers the development and application of the time ...
A statistical pattern recognition technique was developed based on the time series analysis to detec...
Structural damage assessment under external loading, such as earthquake excitation, is an important ...