This paper performed a systematic review of the various machine learning (ML) techniques
applied to assess the health condition of heritage buildings. More robust predictive models …

This study investigated operational and structural health monitoring (SHM) as well as
damage evaluations for building structures. The study involved damage detection and the …

Long-term monitoring brings an important benefit for health monitoring of civil structures due
to covering all possible unpredictable variations in measured vibration data and providing …

The increasing use of timber structures worldwide has brought attention to the challenges
posed by their lightweight nature, making them more prone to vibrations than more massive …

Continuous dynamic monitoring brings an important opportunity to evaluate the health and
integrity of civil structures in a long-term manner. However, high dimensionality and sparsity …

Safety is an essential topic to the architecture, engineering and construction (AEC) industry.
However, traditional methods for structural health monitoring (SHM) and jobsite safety …

With the increased availability of timber materials, such as cross-laminated timber, the
number of buildings using timber as a structural material has been rapidly increasing. As …

This paper presents a novel methodology for earthquake-induced damage identification of
historical constructions through sparse multivariate regression. The proposed methodology …

Climate responsive strategies contained in traditional native dwellings can provide
theoretical basis for the development of sustainable buildings. This study focused on a …

One of the latest trends in structural health monitoring involves the use of wireless
decentralized sensing systems, developed to reduce costs and speed up the whole …