Applications of artificial intelligence for disaster management

W Sun, P Bocchini, BD Davison - Natural Hazards, 2020 - Springer
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …

Machine learning paradigm for structural health monitoring

Y Bao, H Li - Structural health monitoring, 2021 - journals.sagepub.com
Structural health diagnosis and prognosis is the goal of structural health monitoring.
Vibration-based structural health monitoring methodology has been extensively …

Implementing remote-sensing methodologies for construction research: An unoccupied airborne system perspective

S Zhang, SM Bogus, CD Lippitt, V Kamat… - Journal of Construction …, 2022 - ascelibrary.org
In the past four decades, remote-sensing data and methodologies have been increasingly
used in many fields to improve the efficiency, accuracy, or safety of data collection, and …

Automated crack segmentation in close-range building façade inspection images using deep learning techniques

K Chen, G Reichard, X Xu, A Akanmu - Journal of Building Engineering, 2021 - Elsevier
Nowadays, unmanned aerial vehicles (UAVs) are frequently used for periodic visual
inspection of building envelopes to detect unsafe conditions or vulnerable damages …

Detection and location of steel structure surface cracks based on unmanned aerial vehicle images

Q Han, X Liu, J Xu - Journal of Building Engineering, 2022 - Elsevier
Cracks of steel structure usually came from fatigue or material failure, which may cause
structural failure and were not allowed to occur. Aiming at the flexible and convenient …

[HTML][HTML] Automated UAV image-to-BIM registration for building façade inspection using improved generalised Hough transform

C Zhang, F Wang, Y Zou, J Dimyadi, BHW Guo… - Automation in …, 2023 - Elsevier
Abstract While Unmanned Aerial Vehicles (UAVs) are increasingly used for building façade
inspections, their advantages have not been fully leveraged due to the challenge in gaining …

Pruning deep convolutional neural networks for efficient edge computing in condition assessment of infrastructures

RT Wu, A Singla, MR Jahanshahi… - … ‐Aided Civil and …, 2019 - Wiley Online Library
Health monitoring of civil infrastructures is a key application of Internet of things (IoT), while
edge computing is an important component of IoT. In this context, swarms of autonomous …

Recognition and location of steel structure surface corrosion based on unmanned aerial vehicle images

Q Han, N Zhao, J Xu - Journal of Civil Structural Health Monitoring, 2021 - Springer
Corrosion of steel structures may cause failures that can adversely affect building
performance. A flexible and convenient monitoring method that utilizes unmanned aerial …

Vision-guided unmanned aerial system for rapid multiple-type damage detection and localization

S Jiang, Y Cheng, J Zhang - Structural Health Monitoring, 2023 - journals.sagepub.com
Unmanned aerial systems (UASs) are increasingly applied for bridge inspection. A vision-
guided UAS with a lightweight convolutional neural network is developed to detect and …

Structural engineering from an inverse problems perspective

A Gallet, S Rigby, TN Tallman… - … of the Royal …, 2022 - royalsocietypublishing.org
The field of structural engineering is vast, spanning areas from the design of new
infrastructure to the assessment of existing infrastructure. From the onset, traditional entry …