[HTML][HTML] GPT models in construction industry: Opportunities, limitations, and a use case validation
Abstract Large Language Models (LLMs) trained on large data sets came into prominence in
2018 after Google introduced BERT. Subsequently, different LLMs such as GPT models from …
2018 after Google introduced BERT. Subsequently, different LLMs such as GPT models from …
Sustainable life-cycle maintenance policymaking for network-level deteriorating bridges with a convolutional autoencoder–structured reinforcement learning agent
Bridges play a significant role in urban areas, and their performance and safety are highly
related to the carbon emissions of infrastructure systems. Previous studies have mainly …
related to the carbon emissions of infrastructure systems. Previous studies have mainly …
A deep reinforcement learning framework for life-cycle maintenance planning of regional deteriorating bridges using inspection data
Determination of regional deteriorating bridges' maintenance strategies for minimizing life-
cycle risks and costs constructs a complex optimization problem. Improper maintenance …
cycle risks and costs constructs a complex optimization problem. Improper maintenance …
Multi-level time-variant vulnerability assessment of deteriorating bridge networks with structural condition records
Bridges are critical to ensuring access to all parts of the transportation network, and they are
also the most vulnerable infrastructures. This study proposes a multi-level vulnerability …
also the most vulnerable infrastructures. This study proposes a multi-level vulnerability …
Displacement response estimation of a cable-stayed bridge subjected to various loading conditions with one-dimensional residual convolutional autoencoder method
Displacement is an essential indicator of the functioning and safety of long-span cable-
supported bridges under operational conditions. However, displacement estimation is …
supported bridges under operational conditions. However, displacement estimation is …
Application of low-cost sensors for accurate ambient temperature monitoring
In structures with reduced monitoring budgets, the high cost of commercial metering devices
is always an obstacle for monitoring structural health. This might be an issue when …
is always an obstacle for monitoring structural health. This might be an issue when …
Few-shot learning for structural health diagnosis of civil infrastructure
XU Yang, FAN Yunlei, BAO Yuequan, LI Hui - Advanced Engineering …, 2024 - Elsevier
The successful development of deep learning and computer vision techniques has recently
revolutionized structural health diagnosis (SHD) during life-cycle construction, inspection …
revolutionized structural health diagnosis (SHD) during life-cycle construction, inspection …
Modeling the quantitative assessment of the condition of bridge components made of reinforced concrete using ANN
R Trach, V Moshynskyi, D Chernyshev, O Borysyuk… - Sustainability, 2022 - mdpi.com
Bridges in Ukraine are one of the most important components of the infrastructure, requiring
attention from government agencies and constant funding. The object of the study was the …
attention from government agencies and constant funding. The object of the study was the …
Impact damage characterization approach for CFRP pipes via self-sensing
The growing usage of carbon-fiber-reinforced polymers (CFRPs) has necessitated the
development of structural health monitoring (SHM) for ensuring their integrity and safe …
development of structural health monitoring (SHM) for ensuring their integrity and safe …
Damage identification of hinge joint in hollow slab bridge based on model updating and orthogonal matching pursuit algorithm
S Li, H Yang, P Guo, D Ren, B Xu, Z Liang - Measurement, 2024 - Elsevier
Hinge joints are crucial for transverse force transfer in prestressed hollow slab bridges.
Damages to hinge joints cause overall instability, load distribution changes, and reduced …
Damages to hinge joints cause overall instability, load distribution changes, and reduced …