AIMC Topic: Construction Materials

Clear Filters Showing 41 to 50 of 51 articles

Multi-Level-Phase Deep Learning Using Divide-and-Conquer for Scaffolding Safety.

International journal of environmental research and public health Apr 1, 2020
A traditional structural analysis of scaffolding structures requires loading conditions that are only possible during design, but not in operation. Thus, this study proposes a method that can be used during operation to make an automated safety predi...
Neural Networks, Computer Deep Learning Construction Materials Equipment Safety
View on PubMed DOI

Constructing living buildings: a review of relevant technologies for a novel application of biohybrid robotics.

Journal of the Royal Society, Interface Jul 31, 2019
Biohybrid robotics takes an engineering approach to the expansion and exploitation of biological behaviours for application to automated tasks. Here, we identify the construction of living buildings and infrastructure as a high-potential application ...
Cities Construction Materials Robotics Urban Renewal
View on PubMed DOI

A hybrid hierarchical soft computing approach for the technology selection problem in brick industry considering environmental competencies: A case study.

Journal of environmental management Jul 24, 2019
Brick manufacturing is an important industry which produces some fundamental building materials. Since brick production industries have environmental adverse effects such as air pollution, excessive energy consumption as well as waste production, the...
Technology Fuzzy Logic Decision Making Construction Materials Industry
View on PubMed DOI

Network stiffness: A new topological property in complex networks.

PloS one Jun 18, 2019
Aiming at serving the interdisciplinary demand in network science, this paper introduces a new concept for complex networks, named network stiffness, which is extracted from structural engineering by assuming that a complex network behaves similarly ...
Humans Neural Networks, Computer Algorithms Construction Materials Polymers Mechanical Phenomena
View on PubMed DOI

A new application of radioactive particle tracking using MCNPX code and artificial neural network.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine Apr 10, 2019
Stirrers and mixers are highly used in chemical, food, pharmaceutical, cosmetic, concrete industries and others. During the fabrication process, the equipment may fail to appropriately stir or mix the solution. Besides that, it is also important to d...
Neural Networks, Computer Algorithms Construction Materials Monte Carlo Method Cesium Radioisotopes
View on PubMed DOI

Evaluation of data-driven models for predicting the service life of concrete sewer pipes subjected to corrosion.

Journal of environmental management Jan 11, 2019
Concrete corrosion is one of the most significant failure mechanisms of sewer pipes, and can reduce the sewer service life significantly. To facilitate the management and maintenance of sewers, it is essential to obtain reliable prediction of the exp...
Neural Networks, Computer Temperature Construction Materials Hydrogen-Ion Concentration Corrosion
View on PubMed DOI

Modelling the thermal behaviour of a building facade using deep learning.

PloS one Dec 21, 2018
This article aims to model the thermal behaviour of a wall using deep learning techniques. The Fourier theoretical model which is traditionally used to model such enclosures is not capable of considering several factors that affect a prediction that ...
Temperature Deep Learning Models, Theoretical Construction Materials
View on PubMed DOI

Managing waste for production of low-carbon concrete mix using uncertainty-aware machine learning model.

Environmental research Aug 15, 2025
This study introduces an uncertainty-aware AI-driven optimization framework for designing sustainable concrete mixtures that incorporate waste-derived materials. The primary objectives are to reduce global warming potential (GWP) and promote a circul...
Machine Learning Carbon Construction Materials Waste Management Uncertainty Global Warming
View on PubMed DOI

Brick Kiln Dataset for Pakistan's IGP Region Using AI.

Scientific data May 20, 2025
Brick kilns are a major source of air pollution in Pakistan, with many operating without regulation. A key challenge in Pakistan and across the Indo-Gangetic Plain is the limited air quality monitoring and lack of transparent data on pollution source...
Artificial Intelligence Environmental Monitoring Construction Materials Air Pollution Pakistan Satellite Imagery
View on PubMed DOI

Self-tuning trajectory tracking control for concrete pouring construction robots based on PID-NFTSMC and CPO algorithm.

PloS one Jan 1, 2025
This paper presented a self-tuning trajectory tracking control strategy for concrete pouring construction robots operating under external disturbances and system uncertainties. To enhance operational stability and robustness, the study integrated pro...
Algorithms Computer Simulation Construction Materials Robotics
View on PubMed DOI
Popular Topics
Recent Journals