scholarly journals Latest Advances in Finite Element Modelling and Model Updating of Cable-Stayed Bridges

2022 ◽  
Vol 7 (1) ◽  
pp. 8
Author(s):  
Thomas Sharry ◽  
Hong Guan ◽  
Andy Nguyen ◽  
Erwin Oh ◽  
Nam Hoang
Keyword(s):  
Finite Element ◽  
Finite Element Modelling ◽  
Model Updating ◽  
Research Work ◽  
Transport Infrastructure ◽  
Future Research ◽  
Fe Model ◽  
Element Modelling ◽  
Cable Stayed Bridges ◽  
Modelling Approaches

As important links in the transport infrastructure system, cable-stayed bridges are among the most popular candidates for implementing structural health monitoring (SHM) technology. The primary aim of SHM for these bridges is to ensure their structural integrity and satisfactory performance by monitoring their behaviour over time. Finite element (FE) model updating is a well-recognised approach for SHM purposes, as an accurate model serves as a baseline reference for damage detection and long-term monitoring efforts. One of the many challenges is the development of the initial FE model that can accurately reflect the dynamic characteristics and the overall behaviour of a bridge. Given the size, slenderness, use of long cables, and high levels of structural redundancy, precise initial models of long-span cable-stayed bridges are desirable to better facilitate the model updating process and to improve the accuracy of the final updated model. To date, very few studies offer in-depth discussions on the modelling approaches for cable-stayed bridges and the methods used for model updating. As such, this article presents the latest advances in finite element modelling and model updating methods that have been widely adopted for cable-stayed bridges, through a critical literature review of existing research work. An overview of current SHM research is presented first, followed by a comprehensive review of finite element modelling of cable-stayed bridges, including modelling approaches of the deck girder and cables. A general overview of model updating methods is then given before reviewing the model updating applications to cable-stayed bridges. Finally, an evaluation of all available methods and assessment for future research outlook are presented to summarise the research achievements and current limitations in this field.

scholarly journals Development of Finite Element Model for the Control of Solidification Shrinkage in Al-Si (A8011) Alloy Castings

2020 ◽  
Vol 4 (3) ◽  
Author(s):  
Olusanya Francis Dacosta ◽  
Samuel B Adejuyigbe ◽  
Bayode Olorunfemi ◽  
Adefemi Adekunle
Keyword(s):  
Finite Element ◽  
Finite Element Modelling ◽  
Research Work ◽  
Element Model ◽  
Temperature Profiles ◽  
Threshold Values ◽  
Governing Equations ◽  
Solidification Shrinkage ◽  
Element Modelling ◽  
Alloy Castings

The objective of this research work is to determine a realistic way of minimizing shrinkage in Aluminium-Silicon (Al-Si) alloy castings using finite element modelling. Finite Element method was used to discretize and solve the governing equations developed for the models using the commercial software, Comsol Multi-Physics. The models developed were validated from experimental data obtained from the foundry using six samples which were used to study the temperature profiles and nature of the solidification of the alloys. A comparison of the temperature profiles generated from the experiments and simulations show that in 64% of the processes, there were no significant differences between the experimental and simulated values. In comparing the Niyama values obtained from the experiments and those from the simulations, there were no significant differences in 46% of the processes. Threshold Niyama values of 0.143 (°C-s)1/2/mm was also established. Below these threshold values, it is predicted that shrinkage will occur in castings from these metals.Keywords— Aluminium alloy, Al-Si (A8011), Castings, Finite Element, Shrinkage, Solidification

scholarly journals Finite Element Modelling for Predicting the Puncture Responses in Papayas

Foods ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 442
Author(s):  
Nurazwin Zulkifli ◽  
Norhashila Hashim ◽  
Hazreen Haizi Harith ◽  
Mohamad Firdza Mohamad Shukery ◽  
Daniel Iroemeha Onwude ◽  
...  
Keyword(s):  
Experimental Data ◽  
Finite Element ◽  
Finite Element Modelling ◽  
Statistical Procedure ◽  
Agricultural Products ◽  
Fe Model ◽  
The Finite Element Method ◽  
Element Modelling ◽  
Mechanical Responses ◽  
Good Agreement

This study aims to develop a finite element (FE) model to determine the mechanical responses of Exotica papayas during puncture loads. The FE model of the puncture-test was developed using the ANSYS 19.1 software. The proposed framework combined the finite element method and statistical procedure to validate the simulation with the experimental results. Assuming the elastic-plastic behaviour of papaya, the mechanical properties were measured through tensile test and compression test for both skin and flesh. The geometrical models include a quarter solid of papaya that was subjected to a puncture test with a 2 mm diameter flat-end stainless-steel probe inserted into the fruit tissues at 0.5 mm/s, 1 mm/s, 1.5 mm/s, 2 mm/s, and 2.5 mm/s. The FE results showed good agreement with the experimental data, indicating that the proposed approach was reliable. The FE model was best predicted the bioyield force with the highest relative error of 14.46%. In conclusion, this study contributes to the usage of FE methods for predicting the puncture responses of any perishable fruit and agricultural products.

The Application of Bees Algorithm in Finite Element Model Updating

2010 ◽  
Author(s):  
Laleh Fatahi ◽  
Shapour Moradi ◽  
Pejman Razi
Keyword(s):  
Finite Element ◽  
Objective Function ◽  
Model Updating ◽  
Research Work ◽  
Modal Testing ◽  
Bees Algorithm ◽  
Physical Parameters ◽  
Piping System ◽  
Fe Model ◽  
Fe Model Updating

This research work is aimed to investigate the application of bees algorithm (BA) to the finite element (FE) model updating. BA is an evolutionary optimization algorithm that imitates the natural foraging behavior of the honeybees to find the global optimum of an objective function. Here, the weighted squared sum of the error between the measured modal parameters and the FE model predictions is considered as the objective function. To demonstrate the effectiveness of the proposed method, BA is applied on a piping system to update several physical parameters of its FE model. The results obtained from the numerical model are compared with the experimental ones obtained through the modal testing. The results show that BA successfully updates the FE model. Moreover, the performance of this approach is compared with two popular optimization methods; the genetic algorithm (GA) and the particle swarm optimization (PSO). The comparison shows the advantage of BA over GA and its similarity to PSO in terms of accuracy in the presented case study. However, BA reaches to the optimum solution faster than PSO and GA. Therefore, it can be concluded that BA is a robust and accurate optimization method that could be a good candidate for the FE model updating.

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