Structure damage identification in dams using sparse polynomial chaos expansion combined with hybrid K-means clustering optimizer and genetic algorithm

Li, Yifei; Minh, Hoang-Le; Khatir, Samir; Sang-To, Thanh; Cuong-Le, Thanh; Cao, Maosen; Wahab, Magd Abdel

doi:10.1016/j.engstruct.2023.115891

Cited by 36 publications

(3 citation statements)

References 70 publications

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“…The alternate opening and closing of transverse joints during strong seismic actions have been observed in many experiments recently [23,24]. Accordingly, the safety of transverse joints has emerged as a critical topic in the discussion of seismic-induced damage to arch dams [25][26][27][28].…”

Section: Introductionmentioning

confidence: 97%

A novel method for identifying damage in transverse joints of arch dams from seismic responses based on the feature of local dynamic continuity interruption

Wei

Shen

Cao

et al. 2023

Smart Mater. Struct.

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Without the difficulty of applying particular excitations on arch dams, a method using the correlation coefficients of time-scale representations (CCTSRs) of seismic responses to identify the damage in transverse joints is proposed. The identification of damage using the CCTSR method is characterized by comparing the time-scale representations (TSRs) of paired seismic accelerations measured from two neighbouring points crossing the transverse joints horizontally. With the CCTSR method, the TSRs of measured seismic accelerations are produced with the continuous wavelet transform; the comparison of the TSRs is carried out by calculating the correlation coefficients. The correlation coefficients of the paired TSRs are combined with the defined damage intervals to evaluate the positions and severities of the damage. The method’s feasibility is numerically verified via the identification of the damage in transverse joints by discussing the effects of the wavelet functions, seismic excitations, and noise resistance. The method’s effectiveness is experimentally validated via the detection of the damage in transverse joints of a scaled arch dam model subjected to artificial seismic loads. The proposed CCTSR method can localize the positions of various damage scenarios and quantify the damage severities caused by progressive seismic loads.

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Section: Introductionmentioning

confidence: 97%

A novel method for identifying damage in transverse joints of arch dams from seismic responses based on the feature of local dynamic continuity interruption

Wei

Shen

Cao

et al. 2023

Smart Mater. Struct.

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“…Building foundations form the crucial structural support system for various types of constructions, ranging from residential houses to towering skyscrapers [1]. The integrity and stability of a building depend heavily on the soundness of its foundation.…”

Section: Introductionmentioning

confidence: 99%

Identification and Repair of Structural Damage of Building Foundations Based on Genetic Algorithm

Yachun Hu

2024

jes

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The identification and repair of structural damage in building foundations are critical tasks in ensuring the safety and integrity of civil infrastructure. This research paper proposes a method based on genetic algorithms for the identification and repair of structural damage in building foundations. The proposed approach begins with the identification of structural damage by analysing sensor data, including vibration measurements and strain gauges, obtained from the building's foundation. A genetic algorithm is then employed to optimize the identification process by iteratively searching for the most likely damage scenarios based on the collected sensor data. Once the damage is identified, the algorithm proceeds to develop an optimal repair strategy. It considers various parameters, such as available repair materials, budget constraints, and desired structural performance, to generate a repair plan that minimizes cost and maximizes the restoration of structural integrity. The repair plan is optimized using the genetic algorithm to find the best combination of repair techniques and materials. To evaluate the effectiveness of the proposed method, extensive simulations and case studies are conducted on different types of building foundations. The performance of the algorithm is assessed in terms of its accuracy in identifying structural damage and the efficiency of the repair strategy.

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“…Nowadays, vibration-based damage identification methods are mature [ 31 , 32 ]. Structural damage causes changes in the physical parameters of a structure, and the physical parameters can be used as an indicator of the structure’s health.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study of Bridge Expansion Joint Damage Based on Natural Frequency

Feng

Yang

et al. 2023

Sensors

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In this paper, three studies on modal bridge expansion joints were conducted through experiments. The advantages and disadvantages of acceleration and fiber optic strain sensors in the tested modal expansion joints were compared. Secondly, the variation in the natural frequency of the modal bridge expansion joints at different concrete curing periods was investigated. Finally, the effect of damage on natural frequency in different parts (the center beam, the support bar, and concrete in the anchorage zone) of the modal bridge expansion joint was analyzed. For this purpose, three specimens were cast, each with six damage states. Manual methods damaged the specimens. An impact hammer was used to excite the corresponding parts of the different components. The results showed that the acceleration sensor is optimal for the modal bridge expansion joint test. The specimen’s natural frequency increased with the curing time’s growth. The natural frequency increased by 10 Hz from day 3 to day 28 of curing. With the gradual increase in damage, the natural frequencies of the center beam and support bar showed a gradual decreasing trend. The damage to the concrete in the anchorage zone caused less significant changes in the natural frequency, but the overall natural frequency still had a decreasing trend. The sensitivity of each frequency to the damage was different in different parts.

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Structure damage identification in dams using sparse polynomial chaos expansion combined with hybrid K-means clustering optimizer and genetic algorithm

Cited by 36 publications

References 70 publications

A novel method for identifying damage in transverse joints of arch dams from seismic responses based on the feature of local dynamic continuity interruption

A novel method for identifying damage in transverse joints of arch dams from seismic responses based on the feature of local dynamic continuity interruption

Identification and Repair of Structural Damage of Building Foundations Based on Genetic Algorithm

Experimental Study of Bridge Expansion Joint Damage Based on Natural Frequency

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