Soundness of aggregates also refers to unwanted chemical reactions of source rock mineral constituents oxidation of sulphide ore minerals presence of reactive forms of silica ; therefore it can be considered as a synonym to durability sensu lato similar to durability concept used in natural stone studies Přikryl 2013
This study addresses the challenge of designing hot mix asphalt by evaluating the impact of aggregate surface area ASA and the number of aggregates NA in machine learning ML models A dataset of 107 asphalt mixtures containing 0 50 %
To further analyze the stability differences between the model established in this study and common machine learning ML regression algorithms proposed in the literature for recycled aggregates or coarse grained soils the ANN support vector regression SVR and random forest RF regression models were established for 300 sets of resilient
of computer science some researchers have introduced machine learning into the study of concrete strength 30 34 For example Nguyen et al 35 studied the compressive strength of concrete by
Previous studies are mostly based on the principle of equal mix proportion which makes the slump of spontaneous combustion coal gangue aggregate concrete SCGAC lower than that of natural aggregate concrete NAC This study obtained the compressive strength of SCGAC at different curing ages under the premise of similar concrete workability
Demolished bricks account for % represent a significant share of CDW and after concrete wastes account for % they are the second most commonly generated solid wastes [8] [9] [10] To address the increasing demand for natural raw materials like sand and gravel in urbanization [11] [12] while also promoting the recycling of waste
The authors wish to gratefully acknowledge the support of these organizations for this study Citation Yang S Chen T and Xu Z 2024 "Estimation on compressive strength of recycled aggregate self compacting concrete using interpretable machine learning based models" Engineering Computations Vol 41 No 10 pp 2727 2773
Geopolymer concrete GPC has emerged as a prominent choice in the construction industry as a sustainable alternative binder This research delves into the performance of paving grade GPC by recycling reclaimed asphalt pavement RAP as a replacement for natural coarse aggregates The experimental framework comprehensively
Although studies have demonstrated the use of lymphoid aggregates as a prognostic indicator for different cancers to our knowledge there is no study that we are aware of that has attempted to use computer vision techniques to quantify peritumoral lymphoid aggregates without the presence of Hashimoto thyroiditis through stratification of tumor subtype tumor
In order to facilitate and enhance the application of brick aggregate in concrete engineering this study aims to utilize the multi physical properties of brick aggregate to predict the mix proportion of recycled concrete as detailed in Fig 1 Physical property tests were conducted on BNA with different BA content including crushing value
The PWA content is an important parameter of light weight concrete [8] [9] [10] In the existing research scholars have pointed out that the change in the content of recycle aggregate can considerably influence the properties of light weight concrete [11] [12] For example Hebeler et al [13] conducted experimental research on the concrete with different
The quality of the RAs directly affects the mechanical properties and durability of the concrete since the aggregate accounts for 70 75 % of the concrete volume [14] In recent years pre treated recycled aggregates PRA to improve the quality of RAs has become a hot topic [15] The reinforcement methods of RAs are summarized in Table 1 which mainly contains
Keywords aggregate; aggregate dormancy; building; concrete; compressive strength 1 Introduction According to the American English Dictionary AED dormancy is defined as a state of quiet ness or inactivity hence aggregate dormancy is defined in this study as a period of inactivity of aggregates before utilization in construction works
The study employs state of the art machine learning frameworks including Random Forest Regressor RFR XGBoost XGB and LightGBM LGBM The formation of these models involved data acquisition
the two new cost factors in aggregate costs of waste and workers motivation using the meta heuristic Genetic Algorithm method and the Big M linear programming method Mantilla et al 2017 shows aggregate production planning using a case study in a
Concrete is the second most consumed materials after water Alqahtani et al 2021 with global annual consumption of 20 30 billion tons in 2015 compared to less than 2 billion tonnes of concrete in 55 80 % of the concrete volume is occupied by aggregates Freedonia 2012 reported that by 2023 the demand of aggregates for concrete
Applying this method to the study of a single aggregate a total of 9 phases were recognized aluminosilicate matrix quartz K feldspar plagioclase CaMg aluminosilicate Ca carbonates Ca phosphates Fe oxides and organic matter and quantified Of course the precise mineralogical phase cannot be defined in the case of polymorph minerals e
Concrete is the second most consumed materials after water Alqahtani et al 2021 with global annual consumption of 20 30 billion tons in 2015 compared to less than 2 billion tonnes of concrete in 55 80 % of the concrete volume is occupied by aggregates Freedonia 2012 reported that by 2023 the demand of aggregates for concrete
In our study we want to implement machine learning for concrete mix design Based on a large number of tested concrete mix recipes we would like to build an ANN which will be able to estimate the compressive strength of the concrete mix Ungsson Nieblas Durability parameters of reinforced recycled aggregate concrete Case study Appl
Given that machine learning ML has shown promise in modeling complex relationships this study aims to create a reliable ML model to predict and analyze the micro properties of UHPC with different green PLWAs pumice and phosphogypsum aggregates
