A comparative study of different dynamic condensation techniques applied to multi-damage identification of FGM and FG-CNTRC plates

Dinh-Cong, Du; Truong, Tam T.; Nguyen-Thoi, T.

doi:10.1007/s00366-021-01312-y

Cited by 15 publications

(6 citation statements)

References 60 publications

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“…Extracting displacement signal of each measuring point at the lowest natural frequency Use Eqs. ( 23), ( 24), (25)…”

Section: Obtaining Time-history Response Signal Of Structural Displac...mentioning

confidence: 99%

“…Noise has signifcant infuence on the structural response signal, potentially leading to signal distortion in severe instances. Recognizing the present defciency in noise resistance within various structural damage identifcation methods, Dinh-Cong et al [24,25] introduced a set of damage identifcation techniques tailored for situations involving incomplete modal data. Zhang et al [26] introduced damage identifcation grounded in statistical moment indices.…”

Section: Introductionmentioning

confidence: 99%

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Baseline-Free Detection Method for Change of Lateral Stiffness of High-Rise Building Based on Statistical Moment Curvature

Yang,

Wang,

Xian

et al. 2023

Structural Control and Health Monitoring

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In recent times, there has been a notable increase in the quantity of high-rise buildings, attributed to the swift advancements in both economic growth and construction technology. Assessing the structural integrity of high-rise buildings is important to ensure their safe operation. However, existing structural health monitoring methods typically require a baseline, involving either the measured dynamic and static responses from an intact structure or the finite element (FE) model corresponding to an undamaged state. These prerequisites are often challenging to acquire in practical scenarios. This study introduces a novel baseline-free method for detecting reduction in the lateral stiffness of high-rise buildings. The method is based on the statistical moment curvature (SMC) concept, determined through applying central difference to the second-order statistical moment of displacement. Initially, theoretical formulas were derived to demonstrate the viability of utilizing SMC for identifying reduction in the lateral stiffness of high-rise buildings. Subsequently, a FE model of a representative high-rise building was constructed to validate the proposed approach and assess its sensitivity, where different structural types and noise levels were considered. Lastly, a field test was conducted on a 33-story shear wall structure to provide additional validation for the proposed method. The results confirmed its effectiveness in accurately detecting reduction in the lateral stiffness of high-rise building. It offers two primary benefits: firstly, it obviates the need for a baseline, rendering it more convenient and applicable in real-world scenarios; secondly, its heightened sensitivity to sudden drops in lateral stiffness allows for early-stage detection of structural damage.

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“…Extracting displacement signal of each measuring point at the lowest natural frequency Use Eqs. ( 23), ( 24), (25)…”

Section: Obtaining Time-history Response Signal Of Structural Displac...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Baseline-Free Detection Method for Change of Lateral Stiffness of High-Rise Building Based on Statistical Moment Curvature

Yang,

Wang,

Xian

et al. 2023

Structural Control and Health Monitoring

View full text Add to dashboard Cite

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“…Ghannadi and Kourehli have investigated the efficiency of different FEM reduction techniques [29]. Dinh-Cong et al presented a comparative study of different dynamic condensation methods in detecting damages in plate-like structures [30]. Some damage detection methodologies based on expansion techniques can be found in Refs.…”

Section: Introductionmentioning

confidence: 99%

A review of the application of the simulated annealing algorithm in structural health monitoring (1995-2021)

Ghannadi

Kourehli

Mirjalili

2023

Frattura Ed Integrità Strutturale

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In recent years, many innovative optimization algorithms have been developed. These algorithms have been employed to solve structural damage detection problems as an inverse solution. However, traditional optimization methods such as particle swarm optimization, simulated annealing (SA), and genetic algorithm are constantly employed to detect damages in the structures. This paper reviews the application of SA in different disciplines of structural health monitoring, such as damage detection, finite element model updating, optimal sensor placement, and system identification. The methodologies, objectives, and results of publications conducted between 1995 and 2021 are analyzed. This paper also provides an in-depth discussion of different open questions and research directions in this area.

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“…To handle the challenge of the limited measurements, either mode shapes have to be expanded, or FEM is to be reduced. In this regard, some helpful studies have been presented [10][11][12][13][14][15][16][17][18]. Moreover, developing an accurate model of complex structures which could represent the real structural performance is a challenging problem, and requires more efforts.…”

Section: Introductionmentioning

confidence: 99%

The Application of PSO in Structural Damage Detection: An Analysis of the Previously Released Publications (2005–2020)

Ghannadi

Kourehli

Mirjalili

2022

Frattura Ed Integrità Strutturale

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The structural health monitoring (SHM) approach plays a key role not only in structural engineering but also in other various engineering disciplines by evaluating the safety and performance monitoring of the structures. The structural damage detection methods could be regarded as the core of SHM strategies. That is because the early detection of the damages and measures to be taken to repair and replace the damaged members with healthy ones could lead to economic advantages and would prevent human disasters. The optimization-based methods are one of the most popular techniques for damage detection. Using these methods, an objective function is minimized by an optimization algorithm during an iterative procedure. The performance of optimization algorithms has a significant impact on the accuracy of damage identification methodology. Hence, a wide variety of algorithms are employed to address optimization-based damage detection problems. Among different algorithms, the particle swarm optimization (PSO) approach has been of the most popular ones. PSO was initially proposed by Kennedy and Eberhart in 1995, and different variants were developed to improve its performance. This work investigates the objectives, methodologies, and results obtained by over 50 studies (2005-2020) in the context of the structural damage detection using PSO and its variants. Then, several important open research questions are highlighted. The paper also provides insights on the frequently used methodologies based on PSO, the computational time, and the accuracy of the existing methodologies.

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A comparative study of different dynamic condensation techniques applied to multi-damage identification of FGM and FG-CNTRC plates

Cited by 15 publications

References 60 publications

Baseline-Free Detection Method for Change of Lateral Stiffness of High-Rise Building Based on Statistical Moment Curvature

Baseline-Free Detection Method for Change of Lateral Stiffness of High-Rise Building Based on Statistical Moment Curvature

A review of the application of the simulated annealing algorithm in structural health monitoring (1995-2021)

The Application of PSO in Structural Damage Detection: An Analysis of the Previously Released Publications (2005–2020)

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