Research on Bridge Structural Health Assessment Based on Finite Element Analysis

Luo, Xu; Li, Xinping; Fu, Xinsha; Gu, Liangcai

doi:10.17559/tv-20190822100443

Cited by 3 publications

(4 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The likelihood that these variables will be correlated is high, and so it is essential to ensure they will not adversely affect the data model. Several methods can be used to detect multicollinearity; the method used here is the one proposed by [ 45 ]. This method uses the condition index and the regression coefficient variance to determine the overall level of multicollinearity.…”

Section: Data Modelling For Use With Sparse Datamentioning

confidence: 99%

Minimal Information Data-Modelling (MID) and an Easily Implementable Low-Cost SHM System for Use on a Short-Span Bridge

O’Higgins

Hester

McGetrick

et al. 2023

Sensors

View full text Add to dashboard Cite

Structural Health Monitoring (SHM) is a technique that involves gathering information to ensure that a structure is safe and behaving as expected. Within SHM, vibration-based monitoring is generally seen as one of the more cost-effective types of monitoring. However, vibration-based monitoring has mostly been undertaken on long-span bridges using data collected with a dense network of sensors. Historically, the logistical difficulty of collecting data on short- and medium-span bridges has meant that the usefulness of vibration-based methods on these bridges is largely unknown. Therefore, this study proposes Minimal Information Data-modelling (MID). MID is an approach that utilises low-cost, easily implementable sensors that are potentially feasible for operators to purchase and operate across a network. This approach will be investigated to determine whether MID is a feasible approach for monitoring short- and medium- span bridges. The results from MID were assessed to determine whether they could detect a suitably small shift in frequency, which is indicative of damage. It was determined that the data models could reliably detect frequency shifts as low as 0.01 Hz. This magnitude of frequency shift is similar to the level of frequency shift reported for a range of bridge damage cases found by others and validated with FE models. The accuracy achieved by the data models indicates that MID could potentially be used as a damage detection method. The cost of the equipment used to collect the data was approximately £370, demonstrating that it is feasible to use MID to monitor bridges across an entire network.

show abstract

Section: Data Modelling For Use With Sparse Datamentioning

confidence: 99%

Minimal Information Data-Modelling (MID) and an Easily Implementable Low-Cost SHM System for Use on a Short-Span Bridge

O’Higgins

Hester

McGetrick

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…Finite element (FE) analysis is the most accurate and effective method for assessing structural health (Y. Liang et al, 2012;Luo et al, 2020;Yu & Adeli, 1993). A few studies updated the FE model according to the dynamic characteristics (García-Palencia & Santini-Bell, 2013;Oh et al, 2015;Yin & Zhu, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…A few studies used probability theory to estimate the residual bearing capacity of components (Cheng et al., 2019; Dai & Cao, 2017; Hughes et al., 2021; Iamsumang et al., 2015). Finite element (FE) analysis is the most accurate and effective method for assessing structural health (Y. Liang et al., 2012; Luo et al., 2020; Yu & Adeli, 1993). A few studies updated the FE model according to the dynamic characteristics (García‐Palencia & Santini‐Bell, 2013; Oh et al., 2015; Yin & Zhu, 2020).…”

Section: Introductionmentioning

confidence: 99%

Vision‐aided three‐dimensional damage quantification and finite element model geometric updating for reinforced concrete structures

Kong

Xiong

et al. 2023

Computer aided Civil Eng

View full text Add to dashboard Cite

This article presents a vision‐aided framework to achieve three‐dimensional (3D) concrete damage quantification and finite element (FE) model geometric updating for reinforced concrete structures. The framework can process images and point clouds to extract damage information and update it in an FE model. First, a mask region convolutional neural network was used to realize highly precise damage detection and segmentation based on images. Second, a 3D point cloud was adopted in conjunction with the processed images for 3D damage qualification. The model‐updating method enables an FE model to delete concrete elements to update the variations in volume caused by structural damage. This framework supports interaction with mainstream FE software for further analysis. To demonstrate the efficiency of the proposed framework, it was used in an experiment on a reinforced‐concrete shear wall.

show abstract

“…It refers to updating the finite element (FE) numerical model to adopt more precise and accurate structural dynamics parameters based on the known dynamics or statical parameters obtained through experimental investigations of a structure [12][13][14][15][16] (Figure 2). During the model updating procedure, the most commonly used model updating parameters are the material [16][17][18][19][20][21][22][23] and geometrical characteristics [23][24][25][26] and boundary conditions [27][28][29], but their selection is generally based on performing the sensitivity analysis [30]. The selection of materials and the definition of their properties cause great difficulties in the development of a numerical model due to their specific mechanical properties.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Seismic Action on the Tie Rod System in Historic Buildings Using Finite Element Model Updating

et al. 2021

View full text Add to dashboard Cite

Historic buildings have a high architectural value and their maintenance, repair and rehabilitation require a special approach. This approach is mainly based on the buildings’ performance under non-destructive tests such as operational modal analysis (OMA). Under extreme loads, such as earthquakes, these buildings require representative numerical models to simulate their expected response. In historic buildings, tie rods transfer axial loads and are typically used to balance horizontal trust due to static and dynamic loads associated with seismic actions. It is very important to determine the possibility of exceeding their load-bearing capacity under extreme loads, such as an earthquake. In this context, this paper presents an approach for the analysis of seismic action on the tie rod system in a historic building. The analysis was performed by combining the on-site experimental testing and the finite element model updating (FEMU) of the local models of tie rods and the global model of the structure. It was shown that the combination of analyzing local and global structural models, experimental on-site testing and FEMU is a viable solution for assessment of historic buildings’ load bearing capacity.

show abstract

Research on Bridge Structural Health Assessment Based on Finite Element Analysis

Cited by 3 publications

References 19 publications

Minimal Information Data-Modelling (MID) and an Easily Implementable Low-Cost SHM System for Use on a Short-Span Bridge

Minimal Information Data-Modelling (MID) and an Easily Implementable Low-Cost SHM System for Use on a Short-Span Bridge

Vision‐aided three‐dimensional damage quantification and finite element model geometric updating for reinforced concrete structures

Analysis of Seismic Action on the Tie Rod System in Historic Buildings Using Finite Element Model Updating

Contact Info

Product

Resources

About