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Hot Weather Concreting01:20

Hot Weather Concreting

64
Concreting at elevated temperatures accelerates the hydration process, leading to quicker setting but potentially reducing the long-term strength of the concrete structure. Additionally, low air humidity fosters rapid moisture loss from the concrete, resulting in reduced workability, pronounced plastic shrinkage, and a higher likelihood of crazing.
Mitigating the heat increase in concrete can be economically achieved by shading aggregate stockpiles to prevent heating from solar radiation,...
64
Effects of Air-entrainment in Concrete01:28

Effects of Air-entrainment in Concrete

84
Air entrainment in concrete significantly enhances the material's durability, especially in environments subjected to freeze-thaw cycles. Introducing small air bubbles into the concrete mix acts as internal voids that accommodate the expansion of water when it freezes, thereby alleviating internal stress and preventing structural cracks. This function is crucial in climates with significant freezing and thawing, as it protects the concrete from repeated stresses that could lead to premature...
84
Mass Concreting01:22

Mass Concreting

62
Mass concreting refers to the process of placing large volumes of concrete, such as in gravity dams. The heat generated during the cement hydration process and differential cooling rates within the concrete mass can lead to a temperature gradient, which can result in thermal cracks in the concrete mass.
To reduce the risk of such cracking, the concrete mix may incorporate low-heat cement and pozzolans to reduce the temperature rise. Pre-cooled angular aggregates and water-reducing admixtures...
62
Design Example: Managing Concrete Workability01:14

Design Example: Managing Concrete Workability

80
This example deals with managing the workability of concrete for a raft foundation project under hot weather conditions. Workability is crucial for ensuring the concrete is easy to place, compact, and finish. In this scenario, a slump test — a common method to measure the workability of fresh concrete — initially indicated low workability. This was attributed to the rapid water loss from the concrete mix, exacerbated by the high temperatures causing the course aggregates to heat up.
80
Measurement of Air Content in Concrete01:23

Measurement of Air Content in Concrete

137
Air content measurement in concrete is critical for ensuring structural integrity and durability of concrete structures, especially in environments prone to severe weather conditions. Accurate air content analysis optimizes concrete's resistance to freeze-thaw cycles and enhances its workability and strength. Several methods are standardized under ASTM guidelines to measure the air content in fresh concrete, each suitable for different concrete types and conditions.
The pressure method,...
137
Multimachine Stability01:25

Multimachine Stability

151
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
151

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Related Experiment Video

Updated: Jun 26, 2025

Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment
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Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment

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Machine Learning-Based Simulation of the Air Conditioner Operating Time in Concrete Structures with Bayesian

Changhwan Jang1, Hong-Gi Kim2, Byeong-Hun Woo2

  • 1Department of Smart Construction and Environmental Engineering, Daejin University, 1007 Hoguk-ro, Pocheon-si 11159, Republic of Korea.

Materials (Basel, Switzerland)
|May 11, 2024
PubMed
Summary

Phase change material (PCM) in concrete structures significantly reduces energy consumption by 32%. This innovation aids carbon neutrality efforts and summer energy demand prediction.

Keywords:
Bayesianconcretepower consumptionsmRNNthreshold

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Area of Science:

  • Materials Science
  • Sustainable Construction
  • Artificial Intelligence

Background:

  • Efficient energy use is critical for carbon neutrality goals.
  • Phase Change Materials (PCMs) are being investigated for integration into concrete structures.
  • Reducing energy consumption in buildings is a key sustainability challenge.

Purpose of the Study:

  • To simulate and predict the energy consumption of concrete structures incorporating Phase Change Materials (PCMs).
  • To evaluate the effectiveness of PCM-enhanced concrete in reducing overall energy usage.
  • To develop an accurate predictive model for energy consumption in buildings.

Main Methods:

  • Energy consumption simulations were conducted using data from concrete mock-up structures.
  • A Bayesian approach was employed for threshold investigation.
  • A recurrent neural network (RNN) was developed by integrating modularized spiking neural network components to predict energy consumption.
  • High-accuracy data prediction was achieved with an R² value of 0.95 or higher.

Main Results:

  • The developed RNN model demonstrated high accuracy in predicting energy consumption, achieving an R² value of 0.95+.
  • Concrete structures containing PCM exhibited a significant reduction in energy consumption compared to normal concrete.
  • PCM-containing concrete demonstrated up to 32% less energy consumption than conventional concrete.

Conclusions:

  • The integration of Phase Change Materials (PCMs) into concrete structures is a viable strategy for substantial energy savings.
  • The developed AI-driven simulation approach provides a reliable method for predicting energy consumption, particularly during summer months.
  • This research offers a promising solution for reducing the carbon footprint of the construction industry and improving building energy efficiency.