Evaluation of concrete self-healing with different fly ash contents and cracking ages by means of ultrasonic pulse velocity and compressive strength tests

Wons, Mayara; Camara, Letícia; Esteves, Ian C.A.; Trentin, Priscila Ongaratto; Medeiros-Junior, Ronaldo A.

doi:10.1007/s41024-021-00104-7

Cited by 4 publications

(2 citation statements)

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“…In order to meet the requirements for the exposure condition, the strength and rheological qualities must rise as the harshness of the exposure condition increases [13]. Wons et.al [8], Mishra et.al [15] and Park et.al [9] noted same outcomes in their investigation. The experimental data thoroughly examined and evaluated in this part using statistical approaches such as correlation matrix, PCA, MLR, and RSM.…”

Section: Resultsmentioning

confidence: 86%

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Optimized properties of concrete at various exposure conditions

Patil¹,

Dubey²,

Patil³

2023

Res. Eng. Struct. Mater.

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This research explores the testing of M40 grade concrete results under various exposure scenarios. The characteristics of concrete are investigated at the plastic and hardening stages. The characteristics of concrete at both stages vary depending on the exposure circumstances. The rheological qualities of the concrete as well as its strength characteristics under various exposure situations are investigated. It has been noted that as exposure conditions deteriorate, cement content gradually rises while W/C and water content decrease. This research is more beneficial for predicting the diverse properties of concrete under various exposure conditions. This will also aid in reducing losses incurred during construction and structural decay. During the investigation, the correlation matrix and Principal Component Analysis (PCA) are used to evaluate the interrelationship of the experimental variables, which yields more accurate results and predictions of the various characteristics of concrete. A Multivariate Linear Regression (MLR) model developed for the prediction of concrete qualities in the plastic and hardens stages. The MLR model found to be best matched to experimental data, and its forecast is correct. The Response Surface Method (RSM) used to find the optimal properties of the concrete in all types of exposure scenarios.

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Section: Resultsmentioning

confidence: 86%

“…The exposed circumstances [7][8][9][10] determines the structure's durability requirements, choice of materials, proportion, design and construction. As a result, if the exposure class is chosen correctly, it will provide great durability of concrete buildings, reducing routine maintenance and costs.…”

Section: Introductionmentioning

confidence: 99%