A comprehensive review of digital twin—part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives
As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented
attention because of its promise to further optimize process design, quality control, health …
attention because of its promise to further optimize process design, quality control, health …
A novel two-step strategy of non-probabilistic multi-objective optimization for load-dependent sensor placement with interval uncertainties
Conventional optimal sensor placement methods use structural dynamic characteristics
such as mode shapes to determine sampling positions for extracting information. However …
such as mode shapes to determine sampling positions for extracting information. However …
Multiobjective-clustering-based optimal heterogeneous sensor placement method for thermo-mechanical load identification
The direct measurement of external loads acting on structures remains a challenge in many
engineering applications. In this context, mechanical load identification has received …
engineering applications. In this context, mechanical load identification has received …
Using vehicle–bridge contact spectra and residue to scan bridge's modal properties with vehicle frequencies and road roughness eliminated
Both vehicle frequencies and road roughness are factors that may render the vehicle
scanning method ineffective for bridges. In this paper, both factors will be eliminated via the …
scanning method ineffective for bridges. In this paper, both factors will be eliminated via the …
Deep generative Bayesian optimization for sensor placement in structural health monitoring
Optimal sensor placement (OSP) is essential for effective structural health monitoring (SHM).
More recently, deep learning algorithms have shown great potential in sensor‐based SHM …
More recently, deep learning algorithms have shown great potential in sensor‐based SHM …
[HTML][HTML] Data-driven optimal sensor placement for high-dimensional system using annealing machine
We propose a novel method for solving optimal sensor placement problem for high-
dimensional system using an annealing machine. The sensor points are calculated as a …
dimensional system using an annealing machine. The sensor points are calculated as a …
[HTML][HTML] Advancements in Optimal Sensor Placement for Enhanced Structural Health Monitoring: Current Insights and Future Prospects
Y Wang, Y Chen, Y Yao, J Ou - Buildings, 2023 - mdpi.com
Structural health monitoring (SHM) is critical to maintaining safe and reliable civil
infrastructure, but the optimal design of an SHM sensing system, ie, optimal sensor …
infrastructure, but the optimal design of an SHM sensing system, ie, optimal sensor …
Optimal sensor placement for uncertain inverse problem of structural parameter estimation
This paper presents an optimal sensor placement approach for the uncertain inverse
problem of structural parameter estimation, aiming to mitigate the ill-posedness problem that …
problem of structural parameter estimation, aiming to mitigate the ill-posedness problem that …
Optimal placement method of multi-objective and multi-type sensors for courtyard-style timber historical buildings based on Meta-genetic algorithm
C Zhang, Q Chun, J Leng, Y Lin… - Structural Health …, 2024 - journals.sagepub.com
Optimal sensor placement for timber architecture heritage poses a significant challenge due
to the unique structural types and complex monitoring purposes. In this study, a three-stage …
to the unique structural types and complex monitoring purposes. In this study, a three-stage …
An optimal sensor design framework accounting for sensor reliability over the structural life cycle
One of the most prominent goals of a structural health monitoring (SHM) system is to infer
the state of the structure to inform appropriate maintenance actions that affect performance …
the state of the structure to inform appropriate maintenance actions that affect performance …