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Construction Materials

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

PloS one
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 ...

Network stiffness: A new topological property in complex networks.

PloS one
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 ...

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

Journal of environmental management
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...

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
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...