A critical review on modeling and prediction on properties of fresh and hardened geopolymer composites

P Zhang, Y Mao, W Yuan, J Zheng, S Hu… - Journal of Building …, 2024 - Elsevier
Geopolymer is an environmentally friendly material that is recognized as a potential
alternative binder to ordinary Portland cement. However, accurate prediction of the …

Machine learning in concrete technology: A review of current researches, trends, and applications

Y Gamil - Frontiers in Built Environment, 2023 - frontiersin.org
Machine learning techniques have been used in different fields of concrete technology to
characterize the materials based on image processing techniques, develop the concrete mix …

[HTML][HTML] PyOMA and PyOMA_GUI: a python module and software for operational modal analysis

DP Pasca, A Aloisio, MM Rosso, S Sotiropoulos - SoftwareX, 2022 - Elsevier
In structural health monitoring (SHM) paradigm, operational modal analysis (OMA)
comprises several techniques and algorithms for estimating the dynamic characteristics of a …

Enhanced multi-strategy particle swarm optimization for constrained problems with an evolutionary-strategies-based unfeasible local search operator

MM Rosso, R Cucuzza, A Aloisio, GC Marano - Applied Sciences, 2022 - mdpi.com
Nowadays, optimization problems are solved through meta-heuristic algorithms based on
stochastic search approaches borrowed from mimicking natural phenomena …

Comparative deep learning studies for indirect tunnel monitoring with and without Fourier pre-processing

MM Rosso, A Aloisio, V Randazzo… - Integrated …, 2024 - content.iospress.com
In the last decades, the majority of the existing infrastructure heritage is approaching the end
of its nominal design life mainly due to aging, deterioration, and degradation phenomena …

Size and shape optimization of a guyed mast structure under wind, ice and seismic loading

R Cucuzza, MM Rosso, A Aloisio, J Melchiorre… - Applied Sciences, 2022 - mdpi.com
This paper discusses the size and shape optimization of a guyed radio mast for
radiocommunications. The considered structure represents a widely industrial solution due …

Ground penetrating radar fourier pre-processing for deep learning tunnel defects' automated classification

G Marasco, MM Rosso, S Aiello, A Aloisio… - … Applications of Neural …, 2022 - Springer
Nowadays, drawing up plans to control and manage infrastructural assets has become one
of the most important challenges in most developed countries. The latter must cope with …

Noise effects analysis on subspace-based damage detection with neural networks

MM Rosso, A Aloisio, J Melchiorre, F Huo, GC Marano - Structures, 2023 - Elsevier
Structural health monitoring (SHM) is nowadays a significant and topical issue in the civil
engineering field, whose first-level task is the damage detection job. Recent advances in …

The Differential Evolution Algorithm: An Analysis of More than Two Decades of Application in Structural Damage Detection (2001–2022)

P Ghannadi, SS Kourehli, A Nguyen - Data Driven Methods for …, 2024 - taylorfrancis.com
Vibration-based structural damage detection methods using optimization techniques have
increased extensively in recent decades due to the rapid development of swarm intelligence …

Random field modelling of spatial variability in concrete–a review

W Botte, E Vereecken, R Caspeele - Structure and Infrastructure …, 2023 - Taylor & Francis
Concrete is a heterogeneous material, consisting of different constituents such as
aggregates of different sizes and cement paste. Due to the heterogeneity of the concrete, its …