Exploring the Capability of Acoustic Emission Technique in Early Detecting Mode I and Mixed Mode Fractures

Boccacci, Giulia; Frasca, Francesca; Aalto, Pasi; Bertolin, Chiara; Siani, Anna Maria

doi:10.2139/ssrn.4117129

Cited by 1 publication

(2 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…crack initiation detection). Preliminary tests were conducted at the NTNU Fatigue laboratory (Boccacci et al, 2021) with the combined use of AE system, Digital Image Correlation and Universal Testing Machine. Acoustic behaviour of Scots pine specimens undergoing an external tensile load was investigated to explore the early warning capability of the AE technique in detecting mode I and mixed mode fractures.…”

Section: The Symbol Project (2018-2022)mentioning

confidence: 99%

See 1 more Smart Citation

Sustainable management of heritage buildings in long-term perspective (SyMBoL): current knowledge and further research needs

Bertolin,

Berto

2023

IJBPA

Self Cite

View full text Add to dashboard Cite

PurposeThis article introduces the Special Issue on Sustainable Management of Heritage Buildings in long-term perspective.Design/methodology/approachIt starts by reviewing the gaps in knowledge and practice which led to the creation and implementation of the research project SyMBoL—Sustainable Management of Heritage Buildings in long-term perspective funded by the Norwegian Research Council over the 2018–2022 period. The SyMBoL project is the motivation at the base of this special issue.FindingsThe editorial paper briefly presents the main outcomes of SyMBoL. It then reviews the contributions to the Special Issue, focussing on the connection or differentiation with SyMBoL and on multidisciplinary findings that address some of the initial referred gaps.Originality/valueThe article shortly summarizes topics related to sustainable preservation of heritage buildings in time of reduced resources, energy crisis and impacts of natural hazards and global warming. Finally, it highlights future research directions targeted to overcome, or partially mitigate, the above-mentioned challenges, for example, taking advantage of no sestructive techniques interoperability, heritage building information modelling and digital twin models, and machine learning and risk assessment algorithms.

show abstract

Section: The Symbol Project (2018-2022)mentioning

confidence: 99%

“…crack initiation detection). Preliminary tests were conducted at the NTNU Fatigue laboratory (Boccacci et al. , 2021) with the combined use of AE system, Digital Image Correlation and Universal Testing Machine.…”

Section: Introductionmentioning

confidence: 99%