A probabilistic approach for identification of compressive strength of fly ash bricks

Priyadarshini, Monalisa; Patnaik, M. M. M.; Giri, Jyoti Prakash

doi:10.1007/s41062-018-0162-3

Cited by 10 publications

(2 citation statements)

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“…This same pozzolanic behaviour when reacts with lime also found that helps in improvement of the quality of bricks compared to conventional clay brick [1]. The usage of fly ash in nonconventional bricks has been confirmed by different researchers and observed that, different source of fly ash offering different performance [1][2][3][4][5][6][7][8].Similarly compaction process of brick also plays an important role for their quality. Keeping all point in mind, the objective of the study is to fabricate a semi-automatic brick pressing machine followed by a probabilistic analysis on compressive strength of compacted bricks based on the experimental result at 95% level.…”

Section: Introductionmentioning

confidence: 91%

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Quantification of Non-conventional Brick’s Characteristic Compressive Strength

Giri¹,

Priyadarshini

2022

IOP Conf. Ser.: Mater. Sci. Eng.

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Now-a-days researches are concentrating on the utilization of waste materials in construction industry. Fly ash is one of the waste originated from industrial, is the main concern in the present study for brick manufacturing. As fly-ash is a by-product, its properties may vary from source to source resulting variation in strength of the brick. To confirming this, the main focus of the present study was to fabricate a hydraulically operated semi-automatic brick pressing machine followed by preparation of fly ash brick using that and study on the variation of brick strength. Later on, a statistical analysis is conducted based on the experimental compressive strength data for the fly ash bricks. The normal distribution curves are plotted followed by the estimating the constraints of normal distribution, which is the most common adopted distribution function in concrete. From the analysis, the characteristic compressive strength at 95% probability level is obtained as 3.46 and 5.42MPa respectively for the bricks (M1 and M2 type).

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Section: Introductionmentioning

confidence: 91%

“…The real-world engineering situations are to mainly minimize with the uncertainty through an appropriate probabilistic model [9]. The normal distribution (Eq.1) which is the most commonly used distribution in statistics and it also applicable to a wide range of events in Civil Engineering applications [6][7].…”

Section: Probabilistic Analysismentioning

confidence: 99%