Dark Mode
FRP Rebar Bond Characteristics in Concrete
Data Science and Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This collection of data explores the fundamentals of force transfer between reinforcement material and surrounding concrete, which is critical for the existence of reinforced concrete structures. It focuses specifically on the challenges of durability and corrosion prevention, where traditional steel reinforcement is replaced by Fibre Reinforced Polymers (FRP). The dataset facilitates the understanding of the bond mechanism and the effect of different parameters on bond behaviour. Research using this data supports the development of crucial design rules for the adoption of FRP as internal reinforcement.
Columns
The dataset contains nine columns, detailing the mixture components and physical properties of the concrete samples:
- cement: Cement quantity, ranging from 102 to 540 (mean 281).
- blast_furnace_slag: Slag quantity, ranging from 0 to 359 (mean 73.9).
- fly_ash: Fly ash quantity, ranging from 0 to 200 (mean 54.2).
- water: Water quantity, ranging from 122 to 247 (mean 182).
- superplasticizer: Superplasticizer quantity, ranging from 0 to 32.2 (mean 6.2).
- coarse_aggregate: Coarse aggregate quantity, ranging from 801 to 1.15k (mean 973).
- fine_aggregate: Fine aggregate quantity, ranging from 594 to 993 (mean 774).
- age: The age of the sample, spanning from 1 day up to 365 days (mean 45.7).
- concrete_compressive_strength: The resulting measure of concrete compressive strength, ranging from 2.33 to 82.6 (mean 35.8).
Distribution
The data is provided in a single tabular file (
concrete_data.csv) weighing 57.98 kB. It contains 1030 valid records across all 9 columns. The data quality is high, with zero mismatched or missing values reported across all variables. The expected update frequency for this collection is listed as 'Never'.Usage
This resource is ideally suited for several applications:
- Developing predictive models, especially regression analyses, to determine concrete compressive strength based on mix ingredients and age.
- Analysing the influence of various parameters—such as embedment length, rebar diameter, and concrete strength—on bond behaviour.
- Supporting academic research and engineering studies focused on structural integrity and material durability in civil construction.
- Creating robust design guidance for structures utilising Fibre Reinforced Polymers.
Coverage
The material addresses structural engineering problems related to reinforced concrete intended for use in the most severe environmental conditions. The data is associated with research and material specifications tagged under 'India'. The time element (age) covers short-term testing (1 day) up to long-term monitoring (1 year).
License
CC0: Public Domain
Who Can Use It
- Structural Engineers: For informing material selection and developing safe, long-lasting construction designs.
- Material Scientists: To research the interaction and optimization of concrete components like cement, water, and various aggregates.
- Data Scientists and Machine Learning Experts: For constructing regression models to forecast material properties.
- Academics and Students: For educational purposes in civil engineering and materials science courses.
Dataset Name Suggestions
- FRP Rebar Bond Characteristics in Concrete
- Civil Materials Strength Prediction Set
- Concrete Mixture Design Parameters
- Optimised Aggregate Concrete Data
Attributes
Original Data Source: FRP Rebar Bond Characteristics in Concrete
QUALITYLoading...