Numerical validation data of tensile stress zones and crack zones in bamboo reinforced concrete beams using the Fortran PowerStation 4.0 program

Muhtar,

doi:10.1016/j.dib.2020.105332

Cited by 11 publications

(7 citation statements)

References 2 publications

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“…The data input for the loading stages is carried out following the loading stages from laboratory experimental data. The numerical method used is the finite element method, using the Fortran PowerStation 4.0 program [32]. The theoretical analysis is used to calculate the load causing the initial crack is the elastic theory (linear analysis) with cross-section transformation.…”

Section: Validation Of Numerical Methodsmentioning

confidence: 99%

The Prediction of Stiffness Reduction Non-Linear Phase in Bamboo Reinforced Concrete Beam Using the Finite Element Method (FEM) and Artificial Neural Networks (ANNs)

Muhtar

2020

Forests

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This paper discusses the reduction of the stiffness of bamboo reinforced concrete (BRC) beams to support the use of bamboo as an environmentally friendly building material. Calculation of cross-section stiffness in numerical analysis is very important, especially in the non-linear phase. After the initial crack occurs, the stiffness of the cross-section will decrease with increasing load and crack propagation. The calculation of the stiffness in the cross-section of the concrete beam in the non-linear phase is usually approximated by giving a reduction in stiffness. ACI 318-14 provides an alternative, reducing the stiffness of the plastic post-linear beam section through the moment of inertia (I) of the beam section for elastic analysis between 0.50Ig–0.25Ig. This study aims to predict the value of the reduction in the stiffness of the BRC beam section in the non-linear phase through the load-displacement relationship of experimental results validated by the Finite Element Method (FEM) and the Artificial Neural Networks (ANN) method. The experiment used 8 BRC beams and one steel-reinforced concrete (SRC) beam of singly reinforced with a size of 75 mm × 150 mm × 1100 mm. The beams were tested using a four-point loading method. The analysis results showed that the value of the stiffness reduction in the beam cross-sectional in the non-linear phase ranged from 0.5Ig–0.05Ig for BRC beams, and 0.75Ig–0.40Ig for SRC beams.

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Section: Validation Of Numerical Methodsmentioning

confidence: 99%

The Prediction of Stiffness Reduction Non-Linear Phase in Bamboo Reinforced Concrete Beam Using the Finite Element Method (FEM) and Artificial Neural Networks (ANNs)

Muhtar

2020

Forests

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“…Given the large negative impact of crystalline ceramic waste on humans and the environment, the use and utilization of waste as building materials is a must. Utilization and use of renewable energy has been widely studied by researchers to reduce environmental pollution, for example, bamboo as reinforced concrete [1], [2], [3], [4], [17] and the use of crystalline ceramic waste as concrete material [5], [6], [7], [8], [9].…”

Section: Introductionmentioning

confidence: 99%

The Flexural Strength of Concrete Panels with Crystalline Ceramic Waste Aggregates

Muhtar

2020

IJEAT

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Increased development has an impact on increasing material requirements and environmental pollution due to waste. Material needs must consider the energy-saving aspects and the thought of useless material to be useful, one of which is a crystalline ceramic waste. The crystalline ceramic waste is very sharp and hard. The utilization of crystalline ceramic waste as a concrete panel material is very important to reduce environmental pollution. The purpose of this research was to utilize crystalline ceramic waste as a concrete panel material and test its flexural capacity. Panel testing was carried out on specimens measuring 30 mm x 400 mm x 800 mm assuming the panel as a deep beam on simple support. Testing is done by a three-point bending flexural test method. Loading is carried out monotonically until the panel collapses. From the results of the ceramic concrete panel test showed that the flexural strength increased by 31.89% compared to the flexural strength of normal concrete panels.

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“…Many opportunities to be researched about reinforced concrete materials including reinforcing materials, cement, fine aggregate, and coarse aggregate. The use of concrete reinforcement material from renewable energy has been widely carried out such as bamboo as a substitute for steel reinforcement for simple construction [5], [6], [7], [21] as well as the use of ceramic waste as concrete material [8], [9], [10], and [22].…”

Section: Introductionmentioning

confidence: 99%

Mechanical Properties of Ceramic Waste as a n Alternative Material of Concrete Aggregate

Muhtar*

2020

IJITEE

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The increasing building construction in the field of civil engineering that requires supporting materials, starting in terms of human resources and material resources. Progress in the material field must consider energy-saving aspects. Therefore it is necessary to think about the use of useless materials such as ceramic waste. The purpose of this study is to see the potential of ceramic waste as an aggregate in terms of mechanical properties, with the hope of providing an alternative to concrete aggregates other than natural stone aggregates. Ceramic waste aggregate material testing is done by testing: chemical composition, absorption and water content, specific gravity, soundness, abrasion, granular form, gradation, and X-ray diffraction (X-RD). The test results show that the ceramic waste aggregate (CWA) can be used as a concrete aggregate. Ceramic waste aggregate (CWA) characteristics are sufficient to meet the standards as concrete aggregates according to the SII standard, BSI standard, and ASTM standards. While the X-ray diffraction test (X-RD) shows that no element damages concrete, there is no active silica that can react with alkaline cement and is not as a pozzolan.

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Numerical validation data of tensile stress zones and crack zones in bamboo reinforced concrete beams using the Fortran PowerStation 4.0 program

Cited by 11 publications

References 2 publications

The Prediction of Stiffness Reduction Non-Linear Phase in Bamboo Reinforced Concrete Beam Using the Finite Element Method (FEM) and Artificial Neural Networks (ANNs)

The Prediction of Stiffness Reduction Non-Linear Phase in Bamboo Reinforced Concrete Beam Using the Finite Element Method (FEM) and Artificial Neural Networks (ANNs)

The Flexural Strength of Concrete Panels with Crystalline Ceramic Waste Aggregates

Mechanical Properties of Ceramic Waste as a n Alternative Material of Concrete Aggregate

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