Acid, Alkali, and Chloride Resistance of Concrete Composed of Low-Carbonated Fly Ash

Sahoo, Sudarsan; Das, Biman; Mustakim, Syed Mohammed

doi:10.1061/(asce)mt.1943-5533.0001759

Cited by 44 publications

(18 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The harmful action that involves sulphate ions is defined by a sulphate attack (Neville, 2004). The utilisation of pozzolans and cement as binder in concrete revealed an improvement in the resistance against the sulphate attack (Hossain et al, 2016;Huang et al, 2016;Sahoo et al, 2017).…”

Section: Acid and Sulphate Resistancementioning

confidence: 99%

Valorisation of wood fly ash on concrete

Teixeira

Camões

Branco

2019

Resources, Conservation and Recycling

View full text Add to dashboard Cite

Wood fly ash (WFA) is a waste material produced in power plants as result of forest residues combustion to produce power and heat. In countries like Portugal, this waste is disposed of in landfills. Since this material shows pozzolanic characteristics, several studies have been done to evaluate its use as a construction material. This work shows an overview of some published results about the effect of the utilisation of WFA, as a supplementary cementitious material, on the durability and quality of concrete. The results showed that the increase on the wood fly ash content leads to a negative effect on the concrete properties when compared with a conventional concrete. However, the results showed that the behaviour of wood fly ash concrete is very similar to the coal fly ash concrete, which is the most pozzolanic material used in the world. In terms of durability, it was verified that WFA improved the most of the durability characteristics with the exception of carbonation resistance. However, more experimental analysis needs to be developed in terms of wood fly ash concrete durability. Results suggested that using wood fly ash to replace cement is a valuable sustainable option for concrete production. This manuscript discusses the key factors and attempts to provide new information about the application of the wood fly ash on concrete.

show abstract

Section: Acid and Sulphate Resistancementioning

confidence: 99%

Valorisation of wood fly ash on concrete

Teixeira

Camões

Branco

2019

Resources, Conservation and Recycling

View full text Add to dashboard Cite

show abstract

“… b Data from X-ray fluorescence analysis from HKUST lab similar to that reported by Sahoo et al (2017) for the same fly ash sourced from thermal power plant of National Thermal Power Corporation (NTPC) at Kaniha, Odisha. …”

Section: Experimental Programmementioning

confidence: 99%

Very high volume fly ash green concrete for applications in India

Mishra²,

et al. 2018

Waste Manag Res

View full text Add to dashboard Cite

Safe disposal of fly ash generated by coal-based thermal power plants continues to pose significant challenges around the world and in India in particular. Green structural concrete with 80% cement replaced by local Chinese fly ash has been recently developed to achieve a target characteristic compressive strength of 45 MPa. Such green concrete mixes are not only cheaper in cost, but also embody lower energy and carbon footprint, compared with conventional mixes. This study aims to adopt such materials using no less than 80% fly ash as binder in routine concrete works in countries like India with the commonly used lower target characteristic compressive strength of 30 MPa. It is achieved by the simple and practical method of adjusting the water/binder ratio and/or superplasticiser dosage. The proposed green concrete shows encouraging mechanical properties at 7 days and 28 days, as well as much lower material cost and environmental impact compared with commercial Grade 30 concrete. This technology can play an important role in meeting the huge infrastructure demands in India in a sustainable manner.

show abstract

“…In the Pandas library, data cleaning and analysis features are applied. A total of 324 and 147 SM concrete mix specimens (Laboratory cast) were checked with various researchers' data for considering compressive strength and split tensile strength, respectively [5][6][7][8][9][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30]. The available categorical parameters used for the prediction model are noted in Table 1 and non-categorical mention in Table 2.…”

Section: 𝑍 𝑗"mentioning

confidence: 99%

“…The most significant material attribute is the mechanical strength of any cemented composite because it is designed primarily for compression as a construction material. Average compressive strengths were found in the literature ranging from 25 to 115 MPa [2][3][4][5][6][7][8][9][10][25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

An artificial neural network for the prediction of the strength of supplementary cementitious concrete

Mahajan¹,

Bhagat²

2022

Res. Eng. Struct. Mater.

View full text Add to dashboard Cite

Supplementary materials (SM) for cement replacement became more feasible in the previous decade due to their pozzolanic strength and durability properties. The strength variation according to the age of the binding material is a critical subject for SM concrete. The time of water curing is critical in order to maintain the pozzolanic reaction in SM concrete, which assists in the development of strength in cementitious properties.In this study, the laboratory results of concrete specimens were assessed for various mix designs, and the obtained corresponding strengths were also predicted with ANN techniques. The difference between experimental and ANN predicted values was marginally low. Thus, the ANN model applicability emphasised the productive use in predicting the strength of supplementary materials like fly ash or any similar pozzalanic mineral admixture. This research proposes an ANN-based technique for predicting the strength of fly ash added SM concrete. Typical experimental data is used to build, train, and test the artificial neural network (ANN) model. With ANN and input parameters, a total of 324 distinct data points for SM concrete were utilised to estimate SM concrete strength. Various combinations of layers, number of neurons, and learning rate were examined during the training phase. When the root mean square error (RMSE) reached or remained below 0.001, the training was stopped, and the findings were verified using a test data set. With respect to the relative error provided for trained model data, the results achieved were typically below 10% for compressive strength and below 5% for split tensile strength. The ANN models predict concrete strength with excellent accuracy, and the findings show that utilising ANNs to predict concrete strength is both practicable and advantageous.

show abstract

Acid, Alkali, and Chloride Resistance of Concrete Composed of Low-Carbonated Fly Ash

Cited by 44 publications

References 24 publications

Valorisation of wood fly ash on concrete

Valorisation of wood fly ash on concrete

Very high volume fly ash green concrete for applications in India

An artificial neural network for the prediction of the strength of supplementary cementitious concrete

Contact Info

Product

Resources

About