Life Prediction of Iron Ore Tailings Concrete under Freeze-Thaw Cycle Based on Weibull Distribution

It is urgent to improve the comprehensive utilization rate of tailings, especially to solve the problem of fine iron ore tailings treatment and the shortage of natural sand, so iron ore tailings concrete with different replace rates was prepared in this paper. At the same time, in order to further p...

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Main Authors: Jie Han, Chun Fu, Songyang Liu, Haijun Li, Lunan Wang, Hai Sun, Haotian Wu
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advances in Materials Science and Engineering
Online Access:http://dx.doi.org/10.1155/2022/8028009
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author Jie Han
Chun Fu
Songyang Liu
Haijun Li
Lunan Wang
Hai Sun
Haotian Wu
author_facet Jie Han
Chun Fu
Songyang Liu
Haijun Li
Lunan Wang
Hai Sun
Haotian Wu
author_sort Jie Han
collection DOAJ
description It is urgent to improve the comprehensive utilization rate of tailings, especially to solve the problem of fine iron ore tailings treatment and the shortage of natural sand, so iron ore tailings concrete with different replace rates was prepared in this paper. At the same time, in order to further popularize the wide application of iron tailings concrete, it is of great significance to study the frost resistance and life prediction of it in cold regions. Thereby, a series of experimental research on iron ore tailings concrete under freezing-thawing cycles was carried out to analyze the attenuation law of quality, compressive strength, and relative dynamic elastic modulus after different freezing-thawing cycles. In this paper, the relative dynamic elastic modulus was used to define the damage factor, and the freezing-thawing damage model of iron ore tailings concrete was established based on Weibull distribution. Here, the specific function form of two-parameter Weibull distribution of iron ore tailings concrete under freezing-thawing cycle was proposed, and the model was used to predict life of it. The results showed that, compared with the replacement rates of 20%, 60%, and 80%, the iron ore tailings with 40% replacement rate had the best improvement effect on the frost resistance of concrete and can delay the attenuation of the compressive strength of concrete. This model can not only predict the durability life of iron ore tailings concrete under freezing-thawing conditions, but also provide theoretical reference for the application of iron ore tailings concrete in cold areas.
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issn 1687-8442
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publisher Wiley
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spelling doaj-art-676423dc0c2244d4976e9fb5beefab692025-08-20T02:35:19ZengWileyAdvances in Materials Science and Engineering1687-84422022-01-01202210.1155/2022/8028009Life Prediction of Iron Ore Tailings Concrete under Freeze-Thaw Cycle Based on Weibull DistributionJie Han0Chun Fu1Songyang Liu2Haijun Li3Lunan Wang4Hai Sun5Haotian Wu6School of Civil EngineeringSchool of Civil EngineeringSchool of Civil EngineeringSchool of Civil EngineeringSchool of Civil EngineeringSchool of Civil EngineeringXinyang Huaxin Investment Group Co. Ltd.It is urgent to improve the comprehensive utilization rate of tailings, especially to solve the problem of fine iron ore tailings treatment and the shortage of natural sand, so iron ore tailings concrete with different replace rates was prepared in this paper. At the same time, in order to further popularize the wide application of iron tailings concrete, it is of great significance to study the frost resistance and life prediction of it in cold regions. Thereby, a series of experimental research on iron ore tailings concrete under freezing-thawing cycles was carried out to analyze the attenuation law of quality, compressive strength, and relative dynamic elastic modulus after different freezing-thawing cycles. In this paper, the relative dynamic elastic modulus was used to define the damage factor, and the freezing-thawing damage model of iron ore tailings concrete was established based on Weibull distribution. Here, the specific function form of two-parameter Weibull distribution of iron ore tailings concrete under freezing-thawing cycle was proposed, and the model was used to predict life of it. The results showed that, compared with the replacement rates of 20%, 60%, and 80%, the iron ore tailings with 40% replacement rate had the best improvement effect on the frost resistance of concrete and can delay the attenuation of the compressive strength of concrete. This model can not only predict the durability life of iron ore tailings concrete under freezing-thawing conditions, but also provide theoretical reference for the application of iron ore tailings concrete in cold areas.http://dx.doi.org/10.1155/2022/8028009
spellingShingle Jie Han
Chun Fu
Songyang Liu
Haijun Li
Lunan Wang
Hai Sun
Haotian Wu
Life Prediction of Iron Ore Tailings Concrete under Freeze-Thaw Cycle Based on Weibull Distribution
Advances in Materials Science and Engineering
title Life Prediction of Iron Ore Tailings Concrete under Freeze-Thaw Cycle Based on Weibull Distribution
title_full Life Prediction of Iron Ore Tailings Concrete under Freeze-Thaw Cycle Based on Weibull Distribution
title_fullStr Life Prediction of Iron Ore Tailings Concrete under Freeze-Thaw Cycle Based on Weibull Distribution
title_full_unstemmed Life Prediction of Iron Ore Tailings Concrete under Freeze-Thaw Cycle Based on Weibull Distribution
title_short Life Prediction of Iron Ore Tailings Concrete under Freeze-Thaw Cycle Based on Weibull Distribution
title_sort life prediction of iron ore tailings concrete under freeze thaw cycle based on weibull distribution
url http://dx.doi.org/10.1155/2022/8028009
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AT chunfu lifepredictionofironoretailingsconcreteunderfreezethawcyclebasedonweibulldistribution
AT songyangliu lifepredictionofironoretailingsconcreteunderfreezethawcyclebasedonweibulldistribution
AT haijunli lifepredictionofironoretailingsconcreteunderfreezethawcyclebasedonweibulldistribution
AT lunanwang lifepredictionofironoretailingsconcreteunderfreezethawcyclebasedonweibulldistribution
AT haisun lifepredictionofironoretailingsconcreteunderfreezethawcyclebasedonweibulldistribution
AT haotianwu lifepredictionofironoretailingsconcreteunderfreezethawcyclebasedonweibulldistribution