[HTML][HTML] A digital twin framework for civil engineering structures
The digital twin concept represents an appealing opportunity to advance condition-based
and predictive maintenance paradigms for civil engineering systems, thus allowing reduced …
and predictive maintenance paradigms for civil engineering systems, thus allowing reduced …
Multi-fidelity surrogate modeling using long short-term memory networks
When evaluating quantities of interest that depend on the solutions to differential equations,
we inevitably face the trade-off between accuracy and efficiency. Especially for …
we inevitably face the trade-off between accuracy and efficiency. Especially for …
[HTML][HTML] A multi-fidelity surrogate model for structural health monitoring exploiting model order reduction and artificial neural networks
Stochastic approaches to structural health monitoring (SHM) are often inevitably limited by
computational constraints. For instance, for Markov chain Monte Carlo algorithms relying …
computational constraints. For instance, for Markov chain Monte Carlo algorithms relying …
[HTML][HTML] Inertial Methodology for the Monitoring of Structures in Motion Caused by Seismic Vibrations
JC Rodríguez-Quiñonez, JA Valdez-Rodríguez… - Infrastructures, 2024 - mdpi.com
This paper presents a non-invasive methodology for structural health monitoring (SHM)
integrated with inertial sensors and signal conditioning techniques. The proposal uses the …
integrated with inertial sensors and signal conditioning techniques. The proposal uses the …
Physics-based reduced order modeling for uncertainty quantification of guided wave propagation using bayesian optimization
Guided wave propagation (GWP) is commonly employed for the design of SHM systems.
However, GWP is sensitive to variations in the material properties, often leading to false …
However, GWP is sensitive to variations in the material properties, often leading to false …
Multi-fidelity neural network regression for efficient training of energy-assisted diesel engine control system
A Nejadmalayeri, SR Narayanan… - Internal …, 2023 - asmedigitalcollection.asme.org
Low cetane number fuels increase the probability of misfire in diesel engines. Utilizing an
ignition assistant, along with a reliable engine-control system can enhance combustion and …
ignition assistant, along with a reliable engine-control system can enhance combustion and …
[HTML][HTML] A multi-fidelity Gaussian process for efficient frequency sweeps in the acoustic design of a vehicle cabin
Highly accurate predictions from large-scale numerical simulations are associated with
increased computational resources and time expense. Consequently, the data generation …
increased computational resources and time expense. Consequently, the data generation …
[HTML][HTML] Integration of multi-fidelity methods in parameterized non-intrusive reduced order models for industrial applications
F Dicech, K Gkaragkounis, L Parussini… - Journal of …, 2025 - Elsevier
Exploring the behavior of complex industrial problems might become burdensome,
especially in high-dimensional design spaces. Reduced Order Models (ROMs) aim to …
especially in high-dimensional design spaces. Reduced Order Models (ROMs) aim to …
[HTML][HTML] Efficient Model Updating of a Prefabricated Tall Building by a DNN Method
C Liu, F Zhang, Y Ni, B Ai, S Zhu, Z Zhao, S Fu - Sensors, 2024 - mdpi.com
The significance of model updating methods is becoming increasingly evident as the
demand for greater precision in numerical models rises. In recent years, with the …
demand for greater precision in numerical models rises. In recent years, with the …
Attention Mechanism-Driven Sensor Placement Strategy for Structural Health Monitoring
Automated vibration-based structural health monitoring (SHM) strategies have been recently
proven to be promising in the presence of aging and material deterioration threatening the …
proven to be promising in the presence of aging and material deterioration threatening the …