Investigation of the high-temperature resistance of sludge ceramsite concrete with recycled fine aggregates and GGBS and its application in hollow blocks

Xie, Jianhe; Zhao, Jianbai; Wang, Junjie; Huang, Peiyan; Liu, J.

doi:10.1016/j.jobe.2020.101954

Cited by 31 publications

(11 citation statements)

References 56 publications

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“…According to the fiber reinforcement theory, the increase in fiber content up to an optimum content can lead to an increase in the number of fibers per unit volume and the increase in fiber spacing. However, it must be based on concrete compaction [ 39 , 42 , 43 , 44 , 45 ]. If the fiber content is too high (shown as >1.4 kg/m 3 in this study), it will lead to insufficient mixing and vibration of concrete, resulting in unconsolidated concrete and reduced strength.…”

Section: Discussionmentioning

confidence: 99%

Effects of Fiber and Surface Treatment on Airport Pavement Concrete against Freeze–Thawing and Salt Freezing

Lai²,

Ma³

et al. 2022

Materials

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Airport pavement concrete often suffers from freeze–thawing damage in high latitude and cold areas. In addition, the use of aircraft deicer makes the airport pavement concrete suffer from salt-freezing damage. To improve the durability of airport pavement concrete, modified polyester synthetic fiber (FC), cellulose fiber (CF), and basalt fiber (BF) reinforced concrete were prepared in this paper. The mechanical strength, pore structure, and frost resistance (freeze–thawing and salt freezing) of fiber-reinforced concrete were investigated. The effects of the combined action of fiber (fiber type and content) and surface treatment methods (spraying silane and impregnating silane) on the frost resistance of concrete were investigated. The results show that the flexural strength of concrete is positively correlated with the elastic modulus of fiber, but has little effect on the compressive strength. Fiber can reduce mass loss and dynamic modulus loss of concrete subjected to frost damage. FC more effectively improved the frost resistance of concrete than CF. After 30 cycles of salt freezing, the spalling amount of concrete sprayed or soaked with silane was decreased by 65.5% and 55.5%, respectively. Adding fiber and impregnating silane reduced the spalled concrete by up to 70.5%. Spraying silane treatment is better than impregnating silane treatment in enhancing the frost resistance of concrete because a better silane condensation reaction is achieved with spraying silane.

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Section: Discussionmentioning

confidence: 99%

Effects of Fiber and Surface Treatment on Airport Pavement Concrete against Freeze–Thawing and Salt Freezing

Lai²,

Ma³

et al. 2022

Materials

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“…An example of such an investigation relates to the thermal and mechanical properties of concrete blocks with a percentage of aggregate and binder substitution with sludge ceramiste and GBBS, respectively. The study showed the dependency of their thermal and mechanical performance on the exact composition of each sample [24]. A similar in-depth understanding of material properties was necessary when investigating reinforced concrete walls.…”

Section: Combined Investigation Of Thermal and Mechanical Performance...mentioning

confidence: 95%

“…Several of the reviewed studies resorted to finite element analysis modelling, which often requires considerable computational resources. Artificial intelligence models are capable of learning through existing data of previously conducted work and, as such, mitigate the need for additional modelling [15,20,24]. Techniques such as K-fold validation and the use of a combination of metrics and indexes [48] help researchers assess an AI's output and determine the accuracy and precision of their models [19].…”

Section: Mitigating the Need For Computationally Heavy Simulationsmentioning

confidence: 99%

Meta-Narrative Review of Artificial Intelligence Applications in Fire Engineering with Special Focus on Heat Transfer through Building Elements

Bakas

Kontoleon

2023

Fire

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Artificial intelligence (AI), as a research and analysis method, has recently been gaining ground in the ever-evolving scientific field of fire engineering in buildings. Despite the initial delay in utilising machine learning and neural networks due to the shortfall of available computational power, a review of cutting-edge scientific research demonstrates that scientists are now exploring and routinely incorporating such systems in their research processes. As such, a considerable volume of new research is being produced comprising applications of AI in fire engineering. These findings and research questions ought to be summarised, organised, and made accessible for further investigation and refinement. The present study aims to identify recent scientific publications relating to artificial intelligence applications in fire engineering, with particular focus on those tackling the issue of heat transfer through building elements. The method of the meta-narrative review, as implemented in the field of medical advancement research, is discussed, adapted, and finally utilised to weave a narrative that enables the reader to follow the most recent, influential, and impactful works. Efforts are made to uncover trends in the search for heat transfer models and properties under fire loading using AI. The review concludes with our thoughts on how future research can enrich the current findings on heat transfer in buildings exposed to fire actions and elevated temperatures.

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“…Intriguing studies on the reinforcement of recycled aggregates with pozzolanic slurries have been described in the literature [ 57 ]. Research has been conducted into innovative applications for these aggregates, which include high-temperature resistant hollow blocks, as widely described in [ 58 ]. Demolition of a previously used building can also be a source of rubber waste.…”

Section: Introductionmentioning

confidence: 99%

Degradation Analyses of Systemic Large-Panel Buildings Using Comparative Testing during Demolition

2022

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Assessment of the technical condition of large-panel buildings, due to their on-going use and covering resulting from thermomodernization works, is problematic. Results from non-destructive tests (NDT) are subjected to high uncertainty. Destructive tests, which give results with the highest level of confidence, are practically not used. Local sampling for testing gives only a partial image of the condition of a prefabricated building. In this type of construction, joints connecting the precast elements are the most vulnerable to degradation. Access to them is technically difficult. Demolition of this type of building is extremely rare. However, it is a unique opportunity to perform a full spectrum of both NDT and destructive testing. This gives an opportunity for large-scale demolition sampling to identify hidden defects and compare the results obtained by different methods. The comparison of results allows for the scaling of NDT methods and reveals the presence of typical relationships. The paper presents visual, non-destructive, and destructive tests’ results of an over 40-year-old large-panel building scheduled for demolition. The design of this building is repetitive and similar to solutions found in thousands of other buildings. The usefulness of particular research methods for evaluating the technical condition of prefabricated buildings has been determined.

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Investigation of the high-temperature resistance of sludge ceramsite concrete with recycled fine aggregates and GGBS and its application in hollow blocks

Cited by 31 publications

References 56 publications

Effects of Fiber and Surface Treatment on Airport Pavement Concrete against Freeze–Thawing and Salt Freezing

Effects of Fiber and Surface Treatment on Airport Pavement Concrete against Freeze–Thawing and Salt Freezing

Meta-Narrative Review of Artificial Intelligence Applications in Fire Engineering with Special Focus on Heat Transfer through Building Elements

Degradation Analyses of Systemic Large-Panel Buildings Using Comparative Testing during Demolition

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