[HTML][HTML] Constructability-based design approach for steel structures: From truss beams to real-world inspired industrial buildings

R Cucuzza, A Aloisio, MM Rad… - Automation in Construction, 2024 - Elsevier
This paper presents an optimization framework for steel trusses. The authors implemented a
penalty-based approach to optimise the size, shape, and topology based on a dynamic …

Literature Review on the Structural Health Monitoring (SHM) of Sustainable Civil Infrastructure: An Analysis of Influencing Factors in the Implementation

G Wang, J Ke - Buildings, 2024 - mdpi.com
Structural health monitoring (SHM) of civil infrastructure is significant for sustainable
development. This review aims to identify the factors influencing sustainable civil …

[HTML][HTML] Cause-agnostic bridge damage state identification utilising machine learning

AK Kazantzi, S Moutsianos, K Bakalis, SA Mitoulis - Engineering Structures, 2024 - Elsevier
The existing bridge stock, both in the EU and globally, contains several bridges that are
reaching the end of their design-life, many of them showing signs of deterioration. Although …

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 …

Subspace features and statistical indicators for neural network-based damage detection

MM Rosso, A Aloisio, G Cirrincione, GC Marano - Structures, 2023 - Elsevier
The late opportunities prompted by artificial intelligence have motivated the current research
about structural damage detection strategies based on damage-sensitive subspace-based …

ANN-based assessment of soft surface soil layers' impact on fault rupture propagation and kinematic distress of gas pipelines

N Makrakis, PN Psarropoulos, Y Tsompanakis - Infrastructures, 2022 - mdpi.com
Large-scale lifelines in seismic-prone regions very frequently cross areas that are
characterized by active tectonic faulting, as complete avoidance might be techno …

Machine learning-based soft-sensor development for road quality classification

R Nagy, A Kummer, J Abonyi… - Journal of Vibration and …, 2024 - journals.sagepub.com
Vibrations in road vehicles cause several harmful effects, health problems can occur for the
passengers, and mechanical damage can occur to the vehicle components. Given the …

Shear behavior of non-prismatic continuous self-compacting concrete beams strengthened by CFRP bars or laminates

FM Abdul-Razzaq, HF Hassan - Journal of Building Pathology and …, 2025 - Springer
This study investigates the shear behavior of reinforced concrete continuous non-prismatic
beams (RCNBs). The experimental program involves testing fourteen self-compacting …

Removal of drive-by vehicle components using transfer functions with experimental investigation

K Feng, S Taylor, D Hester, T Fayyad, G Zou, M Lydon… - Structures, 2025 - Elsevier
In the past two decades, the application of instrumented sensing vehicles for the structural
health monitoring of transport infrastructure has attracted increasing interest due to the low …

[HTML][HTML] Prediction and Online Control for Process Parameters of Vanadium Nitrogen Alloys Production Based on Digital Twin

Z Wang, Z Xu, Z Gao, K Zhang, L Liu - Sustainability, 2024 - mdpi.com
The production of vanadium nitrogen alloys (VNs) is a chemical reaction process carried out
in a closed pusher plate kiln, making real-time monitoring of key parameters challenging …