Nonlinear finite element analysis of traditional flexural strengthening using betung bamboo (Dendrocalamus asper) on concrete beams

Hidayat, Banu Ardi; Hu, Hsuan Teh; Lie, Han Ay; Haryanto, Yanuar; Widyaningrum, Arnie; Pamudji, Gandjar

doi:10.1088/1757-899x/615/1/012073

Cited by 13 publications

(5 citation statements)

References 9 publications

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“…Evaluation of structural elements in existing buildings needs to be carried out regularly to improve the earthquake resistance [1][2][3][4]. This awareness is increased due to the earthquake history, which resulted in deaths of people and collapses of buildings, and led to the need for the strengthening system on existing buildings [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

An integrated approach for the strength evaluation on RC beams by the combination of hammer test and compression test

Hidayat,

Ahyani

2023

IOP Conf. Ser.: Earth Environ. Sci.

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The structural performance of the old existing RC building needs to be evaluated, as it is susceptible to severe damage. There are two different types to examine the RC members’ capacity: the destructive and non-destructive tests, with their drawbacks and difficulties. The main purpose of this research is to establish the integrated approach to evaluating the compressive strength of RC beams by providing the strength distribution visualization. Hence, the combination of the results from the hammer test, compression test, and the two-point load flexural test was taken into account. In this study, a combination of destructive and non-destructive tests was performed on the RC beam specimen. The hammer test results discovered that the concrete strength was distributed randomly with a difference of 20%. However, the strength pattern in the compression zone showed similar results: a lower strength value. The abovementioned results were then validated with the flexural test. By comparing the concrete failure and the strength distribution visualization, the damaged area has a smaller compressive strength than other areas. Thus, the engineers could use the visualization of the strength distribution as a guide in considering repairing options on RC beams more effectively.

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Section: Introductionmentioning

confidence: 99%

An integrated approach for the strength evaluation on RC beams by the combination of hammer test and compression test

Hidayat,

Ahyani

2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…The collapsed buildings typically exhibit damaged beam-column joints (BCJs), compounded by the non-ductile reinforcing details in columns. Consequently, the existing buildings need to be investigated to enhance their earthquake resistance (Gao et al, 2021; Hidayat et al, 2019; Hsiao et al, 2015; Liou et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

Modeling of non-ductile RC structure under near-fault ground motions: A nonlinear finite element analysis

Hidayat

Hsiao

et al. 2022

Advances in Structural Engineering

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The old existing reinforced concrete (RC) structures in Taiwan are susceptible to severe damage under earthquakes because of the soft-story mechanism. Moreover, the effects of near-fault ground motions often contain a long period of velocity pulse and permanent ground displacement. This study is based on the tri-axial shaking table test conducted at the National Center for Research on Earthquake Engineering in Taiwan and a series of seismic performance evaluations of a non-ductile RC structure in Taiwan. Finite element analysis (FEA) will be conducted to simulate the linear and nonlinear behavior of the seven-story building. This accommodates the damage plasticity model for concrete and the elastic-perfectly plastic model for reinforcement. Comparison of the results between the experimental test and numerical model showed that the similarity of the vibration period has a great influence on the simulation results. The findings showed that the data of acceleration and displacement behavior corresponded with the experimental results in a satisfactory margin. Also, the damage mode is very similar to the shaking table test results. The study found that using FEA can satisfactorily simulate the seismic performance of mid-rise buildings under a near-fault earthquake.

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“…On the other hand, [2] forecast the strength from pull-out of the expansion anchor embedded in CFRC, they performed direct tensile strength testing using a dog-bone shaped specimen design and was attached in an adaptor to suit for testing using UTM. Numerous studies incorporate different modelling techniques such as regression modelling, response surface methodology, finite element analysis, and artificial neural network to assess the BFRC performance [3], [4], [5], [6]. In the study of [7], a nonlinear finite element analysis is performed to evaluate the efficiency of fibers from bamboo in upgrading of structural by refurbishing a Plain Concrete Block applying strengthened polymer of fiber from bamboo.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Direct Tensile Strength of Bamboo Fiber Reinforced Concrete Using Artificial Neural Network

Baniel

Estores

2022

KEM

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Bamboo is among the most economically-significant non-timber forest products in the Philippines, and its fiber can be used for concrete reinforcement, known as bamboo fiber reinforced concrete (BFRC). However, BFRC needs further exploration, and its direct tensile strength is an essential factor that needs to be studied. The present study assessed the direct tensile strength of BFRC utilizing finite element modeling (FEM) and Artificial Neural Network (ANN). A positive correlation was found between compressive and direct tensile strength of the BFRC. The optimum ANN model was obtained from the trial-error approach. This model has 5-5-1 (input-hidden neurons-output) network topology and uses the tan sigmoid transfer function for both input-hidden and hidden-output layer which brought the most accurate prediction. The Levenberg–Marquardt (LM) provided the best optimization performance among other algorithms. The best model has a mean squared error (MSE) of 0.0000287 and r values of 0.98619, 0.99936, 0.99516, and 0.98565 for training, testing, validating, and overall. Sensitivity Analysis shows that compressive can significantly change the system’s performance even with a small change in its parameter value.

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Nonlinear finite element analysis of traditional flexural strengthening using betung bamboo (Dendrocalamus asper) on concrete beams

Cited by 13 publications

References 9 publications

An integrated approach for the strength evaluation on RC beams by the combination of hammer test and compression test

An integrated approach for the strength evaluation on RC beams by the combination of hammer test and compression test

Modeling of non-ductile RC structure under near-fault ground motions: A nonlinear finite element analysis

Prediction of Direct Tensile Strength of Bamboo Fiber Reinforced Concrete Using Artificial Neural Network

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