A study on the concurrent influence of liquid content and damage on the dynamic properties of a tank for the development of a modal-based SHM system

Rainieri, Carlo; Gargaro, Danilo; Reynders, Edwin; Fabbrocino, Giovanni

doi:10.1007/s13349-019-00369-0

Cited by 7 publications

(4 citation statements)

References 26 publications

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“…Structures in operation are subjected to the influence of operational and environmental conditions. These conditions affect the structures causing degradation, aging, and damage [42]; they are also the cause of possible false detections in SHM systems, due to the sensitivity of the methods to operational and environmental variables (EOVs) [43,44]. For that reason, the influence of these variables must be considered in the development of a reliable SHM system [45].…”

Section: Operational and Environmental Conditionsmentioning

confidence: 99%

Damage Identification in Structural Health Monitoring: A Brief Review from its Implementation to the Use of Data-Driven Applications

Burgos

Vargas

Pedraza

et al. 2020

Sensors

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The damage identification process provides relevant information about the current state of a structure under inspection, and it can be approached from two different points of view. The first approach uses data-driven algorithms, which are usually associated with the collection of data using sensors. Data are subsequently processed and analyzed. The second approach uses models to analyze information about the structure. In the latter case, the overall performance of the approach is associated with the accuracy of the model and the information that is used to define it. Although both approaches are widely used, data-driven algorithms are preferred in most cases because they afford the ability to analyze data acquired from sensors and to provide a real-time solution for decision making; however, these approaches involve high-performance processors due to the high computational cost. As a contribution to the researchers working with data-driven algorithms and applications, this work presents a brief review of data-driven algorithms for damage identification in structural health-monitoring applications. This review covers damage detection, localization, classification, extension, and prognosis, as well as the development of smart structures. The literature is systematically reviewed according to the natural steps of a structural health-monitoring system. This review also includes information on the types of sensors used as well as on the development of data-driven algorithms for damage identification.

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Section: Operational and Environmental Conditionsmentioning

confidence: 99%

Damage Identification in Structural Health Monitoring: A Brief Review from its Implementation to the Use of Data-Driven Applications

Burgos

Vargas

Pedraza

et al. 2020

Sensors

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“…Non-destructive evaluation techniques are crucial for monitoring civil infrastructure health [4]. Modal-based damage detection is a popular method for SHM of civil structures [5]. Masonry structures require proper structural assessment to preserve their cultural legacy.…”

Section: Introductionmentioning

confidence: 99%

“…Vibration-based damage detection methods detect damage at tank base, high shear forces under earthquake excitation. This inexpensive, non-invasive, and adaptable technique is promising for integrating data from routine approaches and developing a self-consistent structural health monitoring strategy [5,15]. FOSs aid in tracking heat changes in composite layer architectures [16].…”

Section: Introductionmentioning

confidence: 99%

Structural Health Assessment of overhead water tank - a case study

Shahanawaz,

Nirupama,

Raghavendra

2024

Preprint

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Structural Health Assessment (SHA) is a paramount importance in many different professions and industries, such as civil and aviation, where a minute detail is examined. In order to evaluate the state and performance of structure overtime modern sensors, health assessing tools and gadgets, data procuring devices, storage clouds and many more are used. Structure deterioration or collapse can have severe effects, such as reduced strength of structure, safety hazards, revenue losses, and environmental and social interruptions. To study the importance of Structural Health Assessment (SHA) thoroughly in this research paper, an old structure situated at RV college of Engineering, Bengaluru, INDIA was considered for the study. Using health assessment instruments, the structure's safety is evaluated. Initially, a visual inspection was carried out to check the condition of the structure and the onsite dimension of the tank was measured for modelling. The structure was deteriorated in which one of the columns has experienced a crack. The water tank was tested with few Non-destructive tests to check the details of material, composition, health condition. With these details obtained, the structure was seismically modelled using an analysis software ETABS and checked its safety for the measured parameters by providing load acting on the structure in the onsite condition. The results showed that the structure was not safe for zone 2 seismic analysis and all the 4 columns failed the safety check for the available dimension of column. However, the increase in the dimension of column more than 25% of original dimension showed a good response in which all the column were capable of taking the load without any failure.

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“…The method was applied to truss and frame structures, and its robustness was verified experimentally. Rainieri et al [20]. established the modal mode.…”

Section: Introductionmentioning

confidence: 99%

Damage Identification Method Using Additional Virtual Mass Based on Damage Sparsity

Zhang

Hou

et al. 2021

Applied Sciences

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Damage identification methods based on structural modal parameters are influenced by the structure form, number of measuring sensors and noise, resulting in insufficient modal data and low damage identification accuracy. The additional virtual mass method introduced in this study is based on the virtual deformation method for deriving the frequency-domain response equation of the virtual structure and identify its mode to expand the modal information of the original structure. Based on the initial condition assumption that the structural damage was sparse, the damage identification method based on sparsity with l1 and l2 norm of the damage-factor variation and the orthogonal matching pursuit (OMP) method based on the l0 norm were introduced. According to the characteristics of the additional virtual mass method, an improved OMP method (IOMP) was developed to improve the localization of optimal solution determined using the OMP method and the damage substructure selection process, analyze the damage in the entire structure globally, and improve damage identification accuracy. The accuracy and robustness of each damage identification method for multi-damage scenario were analyzed and verified through simulation and experiment.

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A study on the concurrent influence of liquid content and damage on the dynamic properties of a tank for the development of a modal-based SHM system

Cited by 7 publications

References 26 publications

Damage Identification in Structural Health Monitoring: A Brief Review from its Implementation to the Use of Data-Driven Applications

Damage Identification in Structural Health Monitoring: A Brief Review from its Implementation to the Use of Data-Driven Applications

Structural Health Assessment of overhead water tank - a case study

Damage Identification Method Using Additional Virtual Mass Based on Damage Sparsity

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