Featured Application The use of Artificial Neural Networks for the prediction of heat transfer
through a variety of masonry wall build-ups exposed to elevated temperatures οn one side …

Purpose Fire degradation is an extremely important risk that threatens timber structures. It is
therefore normal that timber design codes include provisions for the design and verification …

Artificial neural networks have been used in recent years as a tool to model properties and
behavior of materials in many areas of civil engineering applications. Because of their ability …

The article investigates the temperature prediction in rectangular timber cross-sections
exposed to fire. Timber density, exposure time, and the point coordinates within the cross …

Building materials are usually characterized in stationary or almost-stationary conditions and
mono dimensional heat flow regime. The existing standards (such as ISO 9869 or EN ISO …

The attainment of energy sustainability in the building sector can be realised by
implementing a green building programme, which has grown significantly over the last thirty …

Thermal performance of windows depends on many parameters, such as dimensional
characteristics and material properties of the components. The thermal transmittance U can …

In recent years, probabilistic assessment of hygrothermal performance of building
components has received increasing attention. Given the many uncertainties involved in the …

Artificial intelligence (AI), as a research and analysis method, has recently been gaining
ground in the ever-evolving scientific field of fire engineering in buildings. Despite the initial …

Performing numerous simulations of a building component, for example to assess its
hygrothermal performance with consideration of multiple uncertain input parameters, can …