Comportamento de concreto armado com adição de resíduos de tijolo cerâmico moído frente à corrosão por cloretos

Meira, Gibson Rocha; Ferreira, Pablo Ramon Rodrigues; Jerônimo, Valdith Lopes; Carneiro, Arnaldo Manoel Pereira

doi:10.1590/s1678-86212014000400004

“…Regarding concrete workability, GCBW concretes showed lower slump values, which was expected due to the higher volume of fine materials of these mixtures as well as the higher packing level reached. This was also observed in the studies [37][38][39]. Furthermore, there are also differences between concretes with a distribution modulus q = 0.25 and q = 0.35 and between concretes with superior (S) and intermediate (I) packing levels.…”

Section: Concretesupporting

confidence: 75%

Use of numerical method for optimization of granulometric curves in eco-efficient concrete

Santos

¹

,

Meira

²

,

Bezerra

³

et al. 2021

Matéria (Rio J.)

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Concrete is the most used construction material and thus, being the cement a significant part of this material, it is also widely used around the world. Cement production is responsible for more than 5% of global CO 2 emissions, which has been continuously increasing. A solution to reduce the cement content in concretes without loss of performance is thorough the particle packing optimization. This work uses practical numerical simulations through linear programming and the modified Andreasen & Andersen model to reduce the void content of aggregate mixtures and produce concretes with superior and intermediate packing levels. A broad range of distribution modulus "q" values were tested. Deviations between the particle size distribution (PSD) curves were calculated in each step of the process. In this study, mixtures with the smallest deviations experimental PSD curves closer to the mathematical packing modeldid not present the lowest void contents. The distribution modulus "q" directly affects the fine aggregate content in the mixtures: lower q values favors higher fine aggregate contents. For concrete granular skeletons composed by sand and gravel, there is a q value below which sand is the top deviation contributor and above which gravel is the top deviation contributor. Moreover, there is a limit to the distribution modulus after which the void content of aggregate skeletons tends to increase. In this study, that was 0.30. Concretes with superior packing (S concrete) and with the lowest distribution factor (q = 0.25) showed better performance in relation to the other studied concretes, with a higher compressive strength at 91 days and with a binder intensity around 6 at 28 days and below 5 at 91 days.

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“…Regarding concrete workability, GCBW concretes showed lower slump values, which was expected due to the higher volume of fine materials of these mixtures as well as the higher packing level reached. This was also observed in the studies [37][38][39]. Furthermore, there are also differences between concretes with a distribution modulus q = 0.25 and q = 0.35 and between concretes with superior (S) and intermediate (I) packing levels.…”

Section: Concretesupporting

confidence: 75%

Use of numerical method for optimization of granulometric curves in eco-efficient concrete

Arruda¹,

Meira²,

Braga³

et al. 2019

Proceedings 9th International Conference on Concrete Under Severe Conditions - Environment and Loading

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Concrete is the most used construction material and thus, being the cement a significant part of this material, it is also widely used around the world. Cement production is responsible for more than 5% of global CO 2 emissions, which has been continuously increasing. A solution to reduce the cement content in concretes without loss of performance is thorough the particle packing optimization. This work uses practical numerical simulations through linear programming and the modified Andreasen & Andersen model to reduce the void content of aggregate mixtures and produce concretes with superior and intermediate packing levels. A broad range of distribution modulus "q" values were tested. Deviations between the particle size distribution (PSD) curves were calculated in each step of the process. In this study, mixtures with the smallest deviations experimental PSD curves closer to the mathematical packing modeldid not present the lowest void contents. The distribution modulus "q" directly affects the fine aggregate content in the mixtures: lower q values favors higher fine aggregate contents. For concrete granular skeletons composed by sand and gravel, there is a q value below which sand is the top deviation contributor and above which gravel is the top deviation contributor. Moreover, there is a limit to the distribution modulus after which the void content of aggregate skeletons tends to increase. In this study, that was 0.30. Concretes with superior packing (S concrete) and with the lowest distribution factor (q = 0.25) showed better performance in relation to the other studied concretes, with a higher compressive strength at 91 days and with a binder intensity around 6 at 28 days and below 5 at 91 days.

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“…Passuelo et al (2014) realizaram Análise do Ciclo de Vida (ACV) de clínqueres alternativos, considerados inovadores, e obtiveram redução em 22% de sua pegada de carbono em relação ao clínquer Portland. Também Santis e Rossignolo (2014) estudaram a produção de concretos leves produzidos com agregados leves de argila calcinada e Meira et al (2014) pesquisaram o comportamento para a corrosão por cloretos de concretos com substituição de cimento por resíduo de tijolo cerâmico moído (RTM). Esses são estudos brasileiros de nível acadêmico.…”

Section: Referencial Teórico: Ecoinovaçõesunclassified

Ecoinovações na Indústria da Construção Civil: um olhar para o Estado de Mato Grosso, Brasil

Durante

¹

,

Callejas

²

,

Rabêlo

³

et al. 2022

CP

0

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A Indústria da Construção Civil (ICC) tem buscado alternativas sustentáveis para seus processos e produtos, com enfoque no desenvolvimento de mecanismos mais limpos que minimizem o impacto ambiental. Objetiva-se neste trabalho identificar lacunas nas políticas públicas relacionadas ao setor da ICC que dificultam o desenvolvimento de ecoinovações. A metodologia apoiou-se na busca patentária para identificar os tipos de ecoinovações da ICC, bem como no levantamento de políticas públicas relacionadas que, analisadas conjuntamente, permitiram realizar uma leitura do desenvolvimento verde do setor. Os resultados apontam o baixo número de registro de patentes verdes, bem como a incipiência de políticas que incentivem a produção e o desenvolvimento verde no setor. A partir das constatações, são apontadas perspectivas para o processo de transformação da ICC, direcionadas ao setor das edificações, evidenciando a importância de desenvolvimento de ações sistêmicas envolvendo os agentes da cadeia construtiva, do poder público e da sociedade.

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Comportamento de concreto armado com adição de resíduos de tijolo cerâmico moído frente à corrosão por cloretos

Cited by 4 publications

References 25 publications

Use of numerical method for optimization of granulometric curves in eco-efficient concrete

Use of numerical method for optimization of granulometric curves in eco-efficient concrete

Use of numerical method for optimization of granulometric curves in eco-efficient concrete

Ecoinovações na Indústria da Construção Civil: um olhar para o Estado de Mato Grosso, Brasil

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