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Model for practical carbonation depth prediction for high volume fly ash concrete and recycled aggregate concrete

机译:高掺量粉煤灰混凝土和再生骨料混凝土实际碳化深度预测模型。

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The reuse of industrial residue streams such as fly ash (FA) or waste materials such as recycled concrete aggregate (RCA) can be beneficial both from an economic and an ecological point of view. Extensive research, investigating different properties of these concrete types, has been carried out so far. However, durability remains a key property ensuring sustainable application of these materials in the construction sector that still needs more research to be fully understood. The main objective of this study was to evaluate the application of widely used models for carbonation depth prediction-defined for ordinary Portland cement concrete with natural aggregate (NAC)-to high volume FA concrete (HVFAC) and recycled aggregate concrete (RAC). The research presented in this paper was conducted in two steps. First, an experimental programme was designed to provide better understanding of the influence of different CO2 concentrations on the carbonation process kinetics in HVFAC, RAC and NAC. This was performed using accelerated carbonation tests (CO2 concentrations of 1%, 2%, 4% and 16%) and natural carbonation tests (duration 21 and 48 months). Furthermore, a database of previously published results of HVFAC and NAC carbonation depths was made in order to analyse the application of carbonation depth prediction defined by Tuutti and given in the fib Model Code 2010. It was shown that the existing models, providing the relationship between accelerated test results and natural carbonation depth, are applicable to NAC and RAC but not to HVFAC. Modifications of the above mentioned models were proposed in order to enable a more accurate and reliable prediction of the HVFAC carbonation depth under natural exposure conditions. (C) 2019 Elsevier Ltd. All rights reserved.
机译:从经济和生态的角度来看,对工业残渣流(如粉煤灰(FA))或废料(如再生混凝土骨料(RCA))进行再利用都可能是有益的。迄今为止,已经进行了广泛的研究,以研究这些混凝土类型的不同特性。但是,耐用性仍然是确保这些材料在建筑行业中可持续应用的关键属性,仍然需要更多研究才能充分理解。这项研究的主要目的是评估广泛使用的模型的碳化深度预测模型的定义,该模型适用于具有天然骨料(NAC)的普通波特兰水泥混凝土到高体积FA混凝土(HVFAC)和再生骨料混凝土(RAC)的定义。本文介绍的研究分两个步骤进行。首先,设计了一个实验程序,以更好地了解HVFAC,RAC和NAC中不同CO2浓度对碳化过程动力学的影响。这是使用加速碳酸化试验(CO2浓度为1%,2%,4%和16%)和自然碳酸化试验(持续时间为21和48个月)进行的。此外,建立了一个先前公布的HVFAC和NAC碳化深度结果的数据库,以分析Tuutti定义并在fib模型代码2010中给出的碳化深度预测的应用。结果表明,现有模型提供了两者之间的关系。加速的测试结果和自然碳化深度适用于NAC和RAC,但不适用于HVFAC。建议对上述模型进行修改,以便在自然暴露条件下能够更准确,更可靠地预测HVFAC碳化深度。 (C)2019 Elsevier Ltd.保留所有权利。

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