共查询到20条相似文献,搜索用时 31 毫秒
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In this study, an artificial neural networks study was carried out to predict the core compressive strength of self-compacting concrete (SCC) mixtures with mineral additives. This study is based on the determination of the variation of core compressive strength, water absorption and unit weight in curtain wall elements. One conventional concrete (vibrated concrete) and six different self-compacting concrete (SCC) mixtures with mineral additives were prepared. SCC mixtures were produced as control concrete (without mineral additives), moreover fly ash and limestone powder were used with two different replacement ratios (15% and 30%) of cement and marble powder was used with 15% replacement ratio of cement. SCC mixtures were compared to conventional concrete according to the variation of compressive strength, water absorption and unit weight. It can be seen from this study, self-compacting concretes consolidated by its own weight homogeneously in the narrow reinforcement construction elements. Experimental results were also obtained by building models according to artificial neural network (ANN) to predict the core compressive strength. ANN model is constructed, trained and tested using these data. The results showed that ANN can be an alternative approach for the predicting the core compressive strength of self-compacting concrete (SCC) mixtures with mineral additives. 相似文献
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粉煤灰对高性能混凝土强度的影响 总被引:7,自引:0,他引:7
探讨了粉煤灰在高性能混凝土中的活性效应及作用机理。通过试验研究得出,当水胶比为0.35以下时,在水泥砂浆中掺入30%粉煤灰,其强度比可达到0.95以上;在混凝土中掺入50%粉煤灰,其抗压强度可达到60MPa以上,可见粉煤灰在高性能混凝土中能发挥较好的活性效应。 相似文献
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《Building and Environment》2004,39(5):557-566
The compressive strength of mixtures made with bottom and fly hospital ash are compared statistically with those of microsilica and conventional concretes in order to evaluate the effectiveness of reusing hospital incinerator ash. Results showed that the concrete cubes recipe and temperature influence the compressive strength values. Generally, the use of microsilica or fly ash, as cement replacement, of 5% by mass increases the compressive strength of concrete at temperatures up to 800°C. Bottom ash did not achieve any increase in strength when used as cement replacement at all percentages.Finally, artificial neural network (ANN) analysis was conducted to study the practicability of using the ANN theoretical model as a prediction tool. The results showed that a one hidden layer back propagation algorithm could produce reasonable outputs that coincide with the experimental results after proper training. 相似文献
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高粉煤灰在道路路面铺装用混凝土中的掺入量,对水泥取代率30%以上的大掺量粉煤灰混凝土的强度性能指标进行了测评。重点对影响道路铺装设计的基础参数,混凝土抗弯强度进行了长期检测分析。结果表明:混凝土在掺入了粉煤灰后,28 d后期抗弯强度较普通混凝土增长显著,截止一年期测试结束后仍有增加趋势;其抗弯强度增长率随着粉煤灰掺入量的增大而提高,且高于同种配合条件下粉煤灰混凝土抗压强度的增长率;大掺量粉煤灰混凝土满足材料抗弯强度要求,适用于道路路面铺装工程。 相似文献
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Binu Sukumar K. Nagamani R. Srinivasa Raghavan 《Construction and Building Materials》2008,22(7):1394-1401
Self-compacting concrete (SCC) demands large amount of powder content and fines for its cohesiveness and ability to flow with out bleeding and segregation. In the present investigation, part of this powder is replaced with high volume fly ash based on a rational mix design method developed by the authors. Because of high fly ash content, it is essential to study the development of strength at early ages of curing which may prove to be a significant factor for the removal of formwork. Rate of gain in strength at different periods of curing such as 12 h, 18 h, 1 day, 3 days, 7 days, 21 days and 28 days are studied for various grades of different SCC mixes and suitable relations have been established for the gain in strength at the early ages in comparison to the conventional concrete of same grades. Relations have also been formulated for compressive strength and split tensile strength for different grades of SCC mixes. 相似文献
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颗粒细度与粉煤灰水泥胶砂性能的关系 总被引:2,自引:1,他引:1
将原状粉煤灰进行粉磨,然后用勃氏法测其比表面积,用SEM分析其颗粒形貌.采用灰色关联分析方法研究了粉煤灰和水泥颗粒细度与粉煤灰水泥胶砂性能的关系.研究表明:选择具有优异颗粒形貌的粉煤灰和水泥是配制高性能粉煤灰混凝土的首要步骤;通过适当提高粉煤灰颗粒细度,适当降低水泥颗粒细度,可以使粉煤灰混凝土获得较高的抗压和抗折强度;通过适当提高粉煤灰颗粒细度,可以减少混凝土拌和用水量,提高混凝土流动性. 相似文献
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利用粉煤灰开发高性能混凝土若干问题的探讨 总被引:8,自引:0,他引:8
现行规范对粉煤灰作为一般结构混凝土掺合料的品质和掺量有严格限制。通过实验研究和工程例证的分析表明:在低水胶比条件下,大掺量粉煤灰可明显改善大体积混凝土的性能,并可改善其温升-强度关系;在进行混凝土配合比设计时应将为煤灰作为独立组分考虑。提高粉煤灰利用水平,是发展绿色高性能混凝土的重要途径。 相似文献
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Osama Ahmed Mohamed Omar Fawwaz Najm 《Frontiers of Structural and Civil Engineering》2017,11(4):406-411
This paper presents the findings of an experimental program seeking to understand the effect of mineral admixtures on fresh and hardened properties of sustainable self-consolidating concrete (SCC) mixes where up to 80% of Portland cement was replaced with fly ash, silica fume, or ground granulated blast furnace slag. Compressive strength of SCC mixes was measured after 3, 7, and 28 days of moist curing. It was concluded in this study that increasing the dosage of fly ash increases concrete flow but also decreases segregation resistance. In addition, for the water-to-cement ratio of 0.36 used in this study, it was observed that the compressive strength decreases compared to control mix after 28 days of curing when cement was partially replaced by 10%, 30%, and 40%of fly ash. However, a fly ash replacement ratio of 20% increased the compressive strength by a small margin compared to the control mix. Replacing cement with silica fume at 5%, 10%, 15%, and 20% was found to increase compressive strength of SCC mixes compared to the control mix. However, the highest 28 day compressive strength of 95.3 MPa occurred with SCC mixes in which 15% of the cement was replaced with silica fume. 相似文献
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研究了粉煤灰、矿渣粉的不同掺入方式对高性能混凝土(HPC)抗氯离子渗透性能及抗冻性能的影响。结果表明:在相同水胶比条件下,随着矿物掺合料掺量的增加,HPC的抗压强度逐渐降低;掺入适量的矿物掺合料可有效降低HPC的电通量,改善抗氯离子渗透性能;当矿物掺合料掺量为40%,且粉煤灰和矿渣粉质量复掺比例为3∶1时,HPC在28 d与84 d的电通量分别为641.6 C和380.5 C;在水胶比及含气量不变的情况下,随着矿物掺合料掺量的增加,HPC的抗冻性能逐渐变差,而未掺矿物掺合料的HPC抗冻性能最好,抗冻等级为F200。 相似文献
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《Construction and Building Materials》2010,24(7):1245-1252
This research investigated self-compacting concrete (SCC) with levels of up to 80% cement replacement by fly ash in mixes adjusted to give constant fresh concrete properties. The hardened concrete and the relationships between hardened properties were then studied.The results show that SCC with up 80% cement replaced by fly ash is possible. To keep the filling ability constant, replacement of cement with fly ash would require an increase in water/powder (W/P) ratio and a reduction in superplasticiser dosage. They also show fly ash have negative effects on passing ability, consistence retention and hardened concrete properties such as strength. The comparison between SCC and normally vibrated concrete (NVC) shows that their material properties of are similar. The successful completion of this project can lead to the use of higher volume fly ash in SCC. 相似文献
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Tuan Nguyen Alireza Kashani Tuan Ngo Stphane Bordas 《Computer-Aided Civil and Infrastructure Engineering》2019,34(4):316-332
The article presents a deep neural network model for the prediction of the compressive strength of foamed concrete. A new, high‐order neuron was developed for the deep neural network model to improve the performance of the model. Moreover, the cross‐entropy cost function and rectified linear unit activation function were employed to enhance the performance of the model. The present model was then applied to predict the compressive strength of foamed concrete through a given data set, and the obtained results were compared with other machine learning methods including conventional artificial neural network (C‐ANN) and second‐order artificial neural network (SO‐ANN). To further validate the proposed model, a new data set from the laboratory and a given data set of high‐performance concrete were used to obtain a higher degree of confidence in the prediction. It is shown that the proposed model obtained a better prediction, compared to other methods. In contrast to C‐ANN and SO‐ANN, the proposed model can genuinely improve its performance when training a deep neural network model with multiple hidden layers. A sensitivity analysis was conducted to investigate the effects of the input variables on the compressive strength. The results indicated that the compressive strength of foamed concrete is greatly affected by density, followed by the water‐to‐cement and sand‐to‐cement ratios. By providing a reliable prediction tool, the proposed model can aid researchers and engineers in mixture design optimization of foamed concrete. 相似文献
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神经网络法在混凝土强度研究中的应用 总被引:8,自引:1,他引:7
讨论了如何应用人工神经网络(ANN)的方法预测混凝土抗压强度,详细论述了采用BP算法建立混凝土抗压强度神经网络模型的过程,以及在活化剂作用下高掺量粉煤灰混凝土的强度效应,仿真结果表明,通过学习,BP网络可成功地建立非线性的强度模型,预测强度可达到较高精度。 相似文献
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Vallarasu Manoharan SOUNTHARARAJAN Dr. Anandan SIVAKUMAR 《Frontiers of Structural and Civil Engineering》2013,7(4):429
The present study focuses on the improvement of pozzolanic reaction of fly ash particles with the cement hydration products. Low and high volume fly ash concrete mixtures were studied systematically with the addition of accelerating admixtures and accelerated curing of the concrete specimens in a steam chamber for 18 h at 75°C. Also, the reinforcing effects of glued steel fibers addition on the compressive and flexural performance of fly ash concrete were investigated. The test results indicated that the addition of accelerator improved the rate of hardening and the inclusion of steel fibers provided higher flexural performance. Also, it can be noted that the high volume fly ash (50%) addition in concrete showed a reduction in strength; however, the addition of accelerator has compensated the deceleration in strength gain. The proper selection of concrete ingredients, addition of accelerator and initial steam curing for 18 h showed better improvement on the engineering properties in fly ash concrete. A maximum increase (41.7%) in compressive strength of fly ash concrete around 52.90 MPa was noticed for 25% fly ash substitution and 1.5% steel fibers addition. Dynamic elastic modulus was also calculated in loaded concrete specimen using ultrasonic pulse velocity test and showed a good agreement with the experimental value. 相似文献