Machine learning techniques for structural health monitoring of heritage buildings: A state-of-the-art review and case studies
M Mishra - Journal of Cultural Heritage, 2021 - Elsevier
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 …
applied to assess the health condition of heritage buildings. More robust predictive models …
Review of recent progress on the compressive behavior of masonry prisms
GH Nalon, JCL Ribeiro, LG Pedroti, RM da Silva… - … and Building Materials, 2022 - Elsevier
Masonry prisms have been widely used in research and quality control of masonry
structures, as they are simplified models that can represent the interaction between different …
structures, as they are simplified models that can represent the interaction between different …
[HTML][HTML] Bio-inspired weighed quantum particle swarm optimization and smooth support vector machine ensembles for identification of abnormalities in medical data
TP Latchoumi, TP Ezhilarasi, K Balamurugan - SN Applied Sciences, 2019 - Springer
Abstract Knowledge mining is an emerging field where various patterns, rules, etc. can be
generated which helps us in the analysis of the result. Medical information systems in …
generated which helps us in the analysis of the result. Medical information systems in …
Predicting the compressive strength of unreinforced brick masonry using machine learning techniques validated on a case study of a museum through nondestructive …
Historical buildings, such as museums, are an important class of buildings because ancient
historical artefacts are collected and preserved in them. These buildings must be maintained …
historical artefacts are collected and preserved in them. These buildings must be maintained …
Estimation of strengths of hybrid FR‐SCC by using deep‐learning and support vector regression models
In this work, to estimate the compressive, splitting tensile, and flexural strength of self‐
compacting concrete (SCC) having single fiber and binary, ternary, and quaternary fiber …
compacting concrete (SCC) having single fiber and binary, ternary, and quaternary fiber …
A comparative study of regression, neural network and neuro-fuzzy inference system for determining the compressive strength of brick–mortar masonry by fusing …
Determining the compressive strength of masonry structures is critical for assessing their
service life and thus providing safety assurances to their occupants and valued …
service life and thus providing safety assurances to their occupants and valued …
[HTML][HTML] Structural health monitoring of exterior beam–column subassemblies through detailed numerical modelling and using various machine learning techniques
Structural health monitoring of beam–column joints is paramount, as they are critical load-
carrying components of reinforced concrete buildings. Evaluating the ultimate joint shear …
carrying components of reinforced concrete buildings. Evaluating the ultimate joint shear …
Experimental investigation and comparative machine learning prediction of the compressive strength of recycled aggregate concrete incorporated with fly ash, GGBS …
Recycled aggregates (RA) can provide a sustainable solution for replacing natural
aggregates (NA) in the concrete mix. However, the stakeholders and inspection …
aggregates (NA) in the concrete mix. However, the stakeholders and inspection …
Compressive strength of solid clay brickwork of masonry bridges: Estimate through Schmidt Hammer tests
Theoretical approaches and code formulas assume the compressive strength of solid clay
brickwork as a function of the compressive strength of bricks and mortar. Such an approach …
brickwork as a function of the compressive strength of bricks and mortar. Such an approach …
[HTML][HTML] Structural health monitoring based on the hybrid ant colony algorithm by using Hooke–Jeeves pattern search
Structural health monitoring is crucial for the timely damage diagnosis of civil infrastructure.
This paper explores the damage detection method based on the ant colony algorithm (ACO) …
This paper explores the damage detection method based on the ant colony algorithm (ACO) …