A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A time series based damage detection method for obtaining separate mass and stiffness damage features of shear-type structures
Highlights Proposing a methodology using time series models to detect structural damage of shear-type structures. Transforming the equation of motion for output only damage detection. Eliminating an operational effect i.e. mass change in the structure to successfully reveal structural damage.
Abstract One of the main challenges in damage detection of in-service civil structures is the effect of operational and environmental changes. This paper presents a novel output-only vibration based method for detection of stiffness and mass changes in shear-type structures using a proposed time series analysis along with sensor clustering technique. AutoRegressive Moving Average models with eXogenous inputs (ARMAX) are incorporated with the equations of motion written for different sensor clusters. Together with two assumptions, changes in the ARMAX model coefficients are employed to build Stiffness Damage Features (SDF) and Mass Damage Features (MDF). Using SDFs and MDFs, existence, location, severity of changes, i.e., stiffness reduction due to damage, and changes in mass due to operational conditions, can be identified separately and accurately. To demonstrate the effectiveness of the proposed method in its current form, first, the shear-type IASC-ASCE numerical benchmark problem is employed. Subsequently, a laboratory-scale four-storey steel structure is developed and tested to study the proposed approach with experimental data. The results show that the approach can successfully identify the location and severity of damage and mass changes separately and very accurately using output-only vibration data.
A time series based damage detection method for obtaining separate mass and stiffness damage features of shear-type structures
Highlights Proposing a methodology using time series models to detect structural damage of shear-type structures. Transforming the equation of motion for output only damage detection. Eliminating an operational effect i.e. mass change in the structure to successfully reveal structural damage.
Abstract One of the main challenges in damage detection of in-service civil structures is the effect of operational and environmental changes. This paper presents a novel output-only vibration based method for detection of stiffness and mass changes in shear-type structures using a proposed time series analysis along with sensor clustering technique. AutoRegressive Moving Average models with eXogenous inputs (ARMAX) are incorporated with the equations of motion written for different sensor clusters. Together with two assumptions, changes in the ARMAX model coefficients are employed to build Stiffness Damage Features (SDF) and Mass Damage Features (MDF). Using SDFs and MDFs, existence, location, severity of changes, i.e., stiffness reduction due to damage, and changes in mass due to operational conditions, can be identified separately and accurately. To demonstrate the effectiveness of the proposed method in its current form, first, the shear-type IASC-ASCE numerical benchmark problem is employed. Subsequently, a laboratory-scale four-storey steel structure is developed and tested to study the proposed approach with experimental data. The results show that the approach can successfully identify the location and severity of damage and mass changes separately and very accurately using output-only vibration data.
A time series based damage detection method for obtaining separate mass and stiffness damage features of shear-type structures
Do, Ngoan T. (author) / Gül, Mustafa (author)
Engineering Structures ; 208
2019-11-08
Article (Journal)
Electronic Resource
English
Vibration-based damage detection in structures using time series analysis
| Tema Archive | 2006
Damage Detection in Nonlinear Structures Using Discrete-Time Volterra Series
| British Library Online Contents | 2013
Substructure Damage Detection Method for Shear Structure Using Sub-Time Series and ARMAX
| British Library Online Contents | 2013
An improved direct stiffness calculation method for damage detection of beam structures
| Wiley | 2013