Damage identification in skeletal structures using the virtual distortion method in frequency domain

Świercz, Andrzej; Kołakowski, Przemysław; Holnicki‐Szulc, Jan

doi:10.1016/j.ymssp.2008.03.009

Cited by 20 publications

(13 citation statements)

References 10 publications

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“…As mentioned in the Introduction, the Virtual Distortion Method (VDM) constitutes the framework of our analysis. The method belongs to fast reanalysis methods [3] and has been successfully used in various types of engineering analyses, including optimal remodelling [4,5], progressive collapse [6], adaptive impact absorption [7,8] and structural health monitoring (SHM) [9]- [14]. The VDM can be easily applied for linear systems.…”

Section: Plastic Strains As Damage Indicator 21 Baseline Methods -Thmentioning

confidence: 99%

Monitoring of progressive collapse of skeletal structures

Świercz

Kołakowski

Holnicki‐Szulc

2011

J. Phys.: Conf. Ser.

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The authors propose an idea of monitoring the state of skeletal structures of high importance (e.g. roof structures over large-area buildings) with the aim of identification of slowly-developing plastic zones. This is formulated as an inverse problem within the framework of the Virtual Distortion Method, which was used previously to identify stiffness/mass modifications in similar manner. Permanent plastic strains developed in a truss element can be modeled by an initial strain (virtual distortion) introduced to the structure. The formation of subsequent plastic zones in the structure is assumed to be slow. Consequently, the design variable (plastic strain) is time-independent, which makes the inverse analysis efficient. This article presents problem formulation and numerical algorithm for identification of the plastic strains in truss structures. The identification relies on gradient-based optimization. A numerical example is included to demonstrate the efficiency of the algorithm.

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Section: Plastic Strains As Damage Indicator 21 Baseline Methods -Thmentioning

confidence: 99%

Monitoring of progressive collapse of skeletal structures

Świercz

Kołakowski

Holnicki‐Szulc

2011

J. Phys.: Conf. Ser.

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“…This damage modelling technique reflects scenarios when damage accumulates over applied cycles of loading and causes for example fatigue or corrosion damage which decreases system stiffness significantly. The approach is similar to presented in [13]. For detection and localization of damage, natural frequency changes were used as a global symptom of failure in considered structure.…”

Section: Electric Pylon Modellingmentioning

confidence: 99%

Low Frequency Damage Analysis of Electric Pylon Model by Fuzzy Logic Application

Dominik

Iwaniec

Lech

2013

Journal of Low Frequency Noise, Vibration and Active Control

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The paper presents a proposition of a new method for calculating the damage degree of electric pylon model by fuzzy logic application. Damage changes in constructions manifest themselves in small but detectable variations of frequency. The change of the speed of wave propagation, which is associated with the change of the natural frequency in the system, is caused by the deformation of the examined material. This phenomenon can be used for an indirect analysis of the construction damage. The main aim of the article is presentation of the results of the vibrations analyse of the electric pylons. In the preliminary tests the research was conducted on the simulation data of the electric pylon of power grid. Eight construction elements of pylon in different positions were chosen to simulate the damage by decreasing step by step the Young's modulus. The simulation data was obtained on the basis of the stiffness matrix updated in conjunction with the Finite Element Method. The preliminary research presented in the paper is aiming at creating the software which can monitor in real time the state of electric pylons.

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“…Hence, the extent of the damage to the original structure can be accurately estimated using the data from the original and virtual structures. The method is also used for the identification of structural parameters, such as stiffness, mass, moving mass, and damping [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Pipeline Damage Identification Based on Additional Virtual Masses

Hou

2017

Applied Sciences

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Abstract:To improve the identification sensitivity of local damages in pipelines, we propose an added virtual mass method thatprevents adding real masses to the pipeline. First, we develop a method of adding virtual masses to pipelines based on the virtual distortion method (VDM). Second, a frequency response to the added mass is constructed using the excitation and acceleration responses. The quantity of mass and the corresponding selected natural frequency with high sensitivity are both determined by the analyzing the sensitivity of the relationship between mass and natural frequency. Finally, the degree of damage can be accurately identified by adding virtual masses on the substructure of the pipeline combined with sensitivity and frequency. Using numerical simulations and experiments, we verify the feasibility of the added virtual mass method for the identification of damages to pipeline structures.

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Damage identification in skeletal structures using the virtual distortion method in frequency domain

Cited by 20 publications

References 10 publications

Monitoring of progressive collapse of skeletal structures

Monitoring of progressive collapse of skeletal structures

Low Frequency Damage Analysis of Electric Pylon Model by Fuzzy Logic Application

Pipeline Damage Identification Based on Additional Virtual Masses

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