Αποτελέσματα Αναζήτησης
1 Ιουν 2023 · In this study, a hybrid intelligent framework for multi-objective optimization based on random forest (RF) and the non-dominated sorting genetic algorithm version II (NSGA-II) is developed to efficiently predict concrete durability and optimize the concrete mix ratio.
- Multi-objective Open Shop Scheduling by Considering Human Error and Preventive Maintenance
Another aspect of open shop models is their complexity. It...
- Multi-objective Open Shop Scheduling by Considering Human Error and Preventive Maintenance
1 Νοε 2023 · Research has indicated that the water–cement ratio (Guo et al., 2018), aggregate type and particle size (Huang et al., 2020a), cementitrous material type (Lü et al., 2019) and other variables can greatly influence the CS, CIPI and RDEM.
1 Ιουλ 2024 · This study focuses on developing LCCT by incorporating FA, GBFS, and a HECRA into regular concrete. It investigates the influence of varying cement, FA, GBFS, and crack inhibitor dosages on the comprehensive performance of concrete mixes and explores the underlying mechanisms.
4 Μαΐ 2024 · Particle distribution analysis revealed the importance of optimizing aggregate gradation for desired concrete properties. The study’s outcomes emphasize the importance of careful mix design and aggregate selection in optimizing concrete performance and durability.
Content : Introduction. Project Requirements in Concrete Design. Concrete Mix Design. Methodologies for Concrete Mix Design. Difficulties and Constraints. Quality Management System Construction Industry is blooming in Hong Kong recently.
28 Σεπ 2023 · Enhancing concrete strength necessitates optimizing the aggregate ratio, controlling the water/cement ratio, and adding the appropriate amount of chemical mixture, and during the process of developing the concrete mix proportions that meet the design requirements, the cost of concrete will rise.
4 Οκτ 2020 · First, orthogonal test is operated to determine the influence of the concrete mix proportion to the slump, compressive strength, tensile strength, and elastic modulus, followed by calculating and predicting the concrete performance using ANN.
