Digital Twin—A Review of the Evolution from Concept to Technology and Its Analytical Perspectives on Applications in Various Fields

ME Iliuţă, MA Moisescu, E Pop, AD Ionita… - Applied Sciences, 2024 - mdpi.com
Digital Twin (DT) technology has experienced substantial advancements and extensive
adoption across various industries, aiming to enhance operational efficiency and …

Damage identification of steel bridge based on data augmentation and adaptive optimization neural network

M Huang, J Zhang, J Li, Z Deng… - Structural Health …, 2024 - journals.sagepub.com
With the advancement of deep learning, data-driven structural damage identification (SDI)
has shown considerable development. However, collecting vibration signals related to …

Degradation Models and Maintenance Strategies for Reinforced Concrete Structures in Coastal Environments under Climate Change: A Review

LF Rincon, YM Moscoso, AEA Hamami, JC Matos… - Buildings, 2024 - mdpi.com
Modern engineering faces challenges in ensuring technical standards for service, durability,
and sustainability. Political, administrative, and budgetary factors, coupled with climate …

[HTML][HTML] Nonlinear modeling of temperature-induced bearing displacement of long-span single-pier rigid frame bridge based on DCNN-LSTM

M Huang, J Zhang, J Hu, Z Ye, Z Deng… - Case Studies in Thermal …, 2024 - Elsevier
Long-span single-pier rigid frame bridge may experience excessive bearing displacement
under temperature variation, which can result in structural deformation or instability, causing …

[HTML][HTML] Dam deformation prediction considering the seasonal fluctuations using ensemble learning algorithm

M Liu, Y Feng, S Yang, H Su - Buildings, 2024 - mdpi.com
Dam deformation is the most visual and relevant monitoring quantity that reflects the
operational condition of a concrete dam. The seasonal variations in the external …

Smart control of bridge support forces using adaptive bearings based on physics-informed neural network (PINN)

H Yan, HY Gou, F Hu, YQ Ni, YW Wang, DC Wu… - Automation in …, 2024 - Elsevier
Bridge bearings play significant roles in the mechanical responses of bridges and
foundations and impact the operation of bridges. This paper presents an adaptive bearing …

[PDF][PDF] High-Efficiency Finite Element Model Updating of Bridge Structure Using a Novel Physics-Guided Neural Network

N Wan, M Huang, Y Lei - Int. J. Struct. Stab. Dyn, 2024 - researchgate.net
N. Wan, M. Huang & Y. Lei under high uncertainties, which means the introduction of the
physics-based loss function significantly enhances the parameters updating ability of the …

[HTML][HTML] The OX Optimizer: A Novel Optimization Algorithm and Its Application in Enhancing Support Vector Machine Performance for Attack Detection

AK Al Hwaitat, HN Fakhouri - Symmetry, 2024 - mdpi.com
In this paper, we introduce a novel optimization algorithm called the OX optimizer, inspired
by oxen animals, which are characterized by their great strength. The OX optimizer is …

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 …

[HTML][HTML] Dilemmas and Solutions for Sustainability-Based Engineering Ethics: Lessons Learned from the Collapse of a Self-Built House in Changsha, Hunan, China

D Tang, M Huang - Buildings, 2024 - mdpi.com
With the rapid development of engineering construction in China, especially the emergence
of large-scale engineering projects and self-built residential houses, ethical issues in …