Experimental study on tensile strength development of concrete with manufactured sand

Zhao, Shunbo; Ding, Xinxin; Zhao, Mingshuang; Li, Changyong; Pei, Songwei

doi:10.1016/j.conbuildmat.2017.01.093

Cited by 81 publications

(28 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this study, the target output is the compressive strength (both cubic and cylinder) of MSC at different curing ages ranging from 3 to 388 days. The database was collected from experimental tests in the available literature [14,[81][82][83]. A number of 289 MSC samples have been mixed by raw materials such as: (i) ordinary silicate cements; (ii) admixture consisted of fly ash, slag and silica fume; (iii) crushed stone and (iv) manufactured sand.…”

Section: Collection Of Datamentioning

confidence: 99%

See 1 more Smart Citation

Improvement of ANFIS Model for Prediction of Compressive Strength of Manufactured Sand Concrete

Pham

Dao

et al. 2019

Applied Sciences

View full text Add to dashboard Cite

Use of manufactured sand to replace natural sand is increasing in the last several decades. This study is devoted to the assessment of using Principal Component Analysis (PCA) together with Teaching-Learning-Based Optimization (TLBO) for enhancing the prediction accuracy of individual Adaptive Neuro Fuzzy Inference System (ANFIS) in predicting the compressive strength of manufactured sand concrete (MSC). The PCA technique was applied for reducing the noise in the input space, whereas, TLBO was employed to increase the prediction performance of single ANFIS model in searching the optimal weights of input parameters. A number of 289 configurations of MSC were used for the simulation, especially including the sand characteristics and the MSC long-term compressive strength. Using various validation criteria such as Correlation Coefficient (R), Root Mean Squared Error (RMSE), and Mean Absolute Error (MAE), the proposed method was validated and compared with several models, including individual ANFIS, Artificial Neural Networks (ANN) and existing empirical equations. The results showed that the proposed model exhibited great prediction capability compared with other models. Thus, it appeared as a robust alternative computing tool or an efficient soft computing technique for quick and accurate prediction of the MSC compressive strength.

show abstract

Section: Collection Of Datamentioning

confidence: 99%

“…(λ our-model − 1) − (λ original-model − 1) × 100 in case of : R, Slope (λ our-model − λ other-model )/λ original-model × 100 in case of : RMSE, MAE and Error std (5) * a coefficient of c = 0.3 was used according to [82].…”

Section: Comparison With Existing Models In the Literaturementioning

confidence: 99%

Improvement of ANFIS Model for Prediction of Compressive Strength of Manufactured Sand Concrete

Pham

Dao

et al. 2019

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…This avoids the secondary pollution caused by waste recycled fine aggregate, and solves the defects of concrete with large particle recycled coarse aggregate. With proper mix proportion and rational process, the concrete with CRA, abbreviated as CRAC, has been successfully produced with good workability and expected mechanical properties [13][14][15][16][17]. Combined with the technology of high-performance concrete reinforced with steel fibers, steel fiber reinforced composite-recycled aggregate concrete (SFR-CRAC) was also developed to comprehensively promote the performance of CRAC [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Bending Performance of Steel Fiber Reinforced Concrete Beams Based on Composite-Recycled Aggregate and Matched with 500 MPa Rebars

Pei

Fan

et al. 2020

Materials

Self Cite

View full text Add to dashboard Cite

To promote the engineering application of recycled aggregate for concrete production with good adaptability and economic efficiency, this paper performed a campaign to investigate the flexural performance of steel fiber reinforced composite-recycled aggregate concrete (SFR-CRAC) beams matched with 500 MPa longitudinal rebars. The composite-recycled aggregate has features of the full use recycled fine aggregate and small particle recycled coarse aggregate, and the continuous grading of coarse aggregate ensured by admixing the large particle natural aggregate about 35% to 45% in mass of total coarse aggregate. The properties of SFR-CRAC have been comprehensively improved by using steel fibers. With a varying volume fraction of steel fiber from 0% to 2.0%, 10 beam specimens were produced. The flexural behaviors of the beams during the complete loading procedure were experimentally studied under a four-point bending test. Of which the concrete strain at mid-span section, the appearance of cracks, the crack distribution and crack width, the mid-span deflection, the tensile strain of longitudinal rebars, and the failure patterns of the beams were measured in detail. Results indicated that the assumption of plane cross-section held true approximately, the 500 MPa longitudinal rebars worked at a high stress level within the limit width of cracks on reinforced SFR-CRAC beams at the normal serviceability, and the typical failure occurred with the yield of 500 MPa longitudinal rebars followed by the crushed SFR-CRAC in compression. The cracking resistance, the flexural capacity, and the flexural ductility of the beams increased with the volume fraction of steel fiber, while the crack width and mid-span deflection obviously decreased. Finally, by linking to those for conventional reinforced concrete beams, formulas are suggested for predicting the cracking moment, crack width, and flexural stiffness at normal serviceability, and the ultimate moment at bearing capacity of reinforced SFR-CRAC beams.

show abstract

“…Splitting tensile test methods such as ASTM C-496 [1], ISO 4108 [2], BS 1881-117 [3], etc., are frequently adopted to measure the tensile strength and investigate the corresponding fracture characteristics of concrete materials [4,5]. For common concrete, according to quasi-static tensile splitting tests, the influences of water-cement ratios, porous structure, types of cement, aggregates sizes and samples sizes on the tensile strength of concrete have been extensively researched [6][7][8][9]. Meanwhile, the dynamic tensile fracture pattern and mechanical response of concrete has been studied by the dynamic Brazilian test [10], which has shown that the impact velocity plays a significant role in the failure pattern of concrete specimens.…”

Section: Introductionmentioning

confidence: 99%

The Tensile Strength and Damage Characteristic of Two Types of Concrete and Their Interface

et al. 2019

View full text Add to dashboard Cite

In this study, tensile splitting tests and corresponding numerical simulations are performed on high strength concrete, low strength concrete, the interface between the two types of concrete, and the interface reinforced by steel fiber, respectively. The tensile splitting strength, crack initiation load, and damage characteristics are analyzed based on experiment data and fracture surface of samples. It can be concluded that tensile splitting strength and crack initiation load have the descending order of ‘HT’ (high strength concrete sample) > ‘LT’ (low strength concrete sample) > ‘FT’ (interface reinforced by steel fiber) > ‘OT’ (interface). The tensile splitting strength is related not only to the roughness of the fracture surface, but also to the percentage of fractured aggregates. The steel fiber can increase initiation cracking load, peak load and residual strength of the interface. The existing of interface composited by two types of material can cause asymmetric distribution of the stress state, even if geometry and the load are symmetrical for samples.

show abstract

Experimental study on tensile strength development of concrete with manufactured sand

Cited by 81 publications

References 20 publications

Improvement of ANFIS Model for Prediction of Compressive Strength of Manufactured Sand Concrete

Improvement of ANFIS Model for Prediction of Compressive Strength of Manufactured Sand Concrete

Bending Performance of Steel Fiber Reinforced Concrete Beams Based on Composite-Recycled Aggregate and Matched with 500 MPa Rebars

The Tensile Strength and Damage Characteristic of Two Types of Concrete and Their Interface

Contact Info

Product

Resources

About