Automated pixel‐level pavement crack detection on 3D asphalt surfaces using a deep‐learning network

A Zhang, KCP Wang, B Li, E Yang, X Dai… - … ‐Aided Civil and …, 2017 - Wiley Online Library
The CrackNet, an efficient architecture based on the Convolutional Neural Network (CNN),
is proposed in this article for automated pavement crack detection on 3D asphalt surfaces …

Operational Modal Analysis on Bridges: A Comprehensive Review

H Hasani, F Freddi - Infrastructures, 2023 - mdpi.com
Structural health monitoring systems have been employed throughout history to assess the
structural responses of bridges to both natural and man-made hazards. Continuous …

Temperature tracer method in structural health monitoring: A review

F He, J Chen, C Li, F Xiong - Measurement, 2022 - Elsevier
Structural health monitoring (SHM) is widely applied to the performance evaluation and
safety maintenance of various structures, and it is an important means to prevent and reduce …

New methodology for modal parameters identification of smart civil structures using ambient vibrations and synchrosqueezed wavelet transform

CA Perez-Ramirez, JP Amezquita-Sanchez… - … Applications of Artificial …, 2016 - Elsevier
Many applications related to modeling, control and condition assessment of smart structures
require an accurate identification of natural frequencies and damping ratios. This …

Feature extraction and classi cation techniques for health monitoring of structures

JP Amezquita-Sanchez, H Adeli - Scientia Iranica, 2015 - scientiairanica.sharif.edu
Damage identi cation in Structural Health Monitoring (SHM) involves three main steps:
signal acquisition, signal processing, and feature extraction and interpretation. Recently, the …

Pavement crack width measurement based on Laplace's equation for continuity and unambiguity

W Wang, A Zhang, KCP Wang… - Computer‐Aided Civil …, 2018 - Wiley Online Library
Crack is one of the most important pavement condition indicators that are immediately
relevant to water ingress and pavement deterioration. In practices of pavement …

Unsupervised deep learning framework for temperature-compensated damage assessment using ultrasonic guided waves on edge device

P Kashyap, K Shivgan, S Patil, BR Raja, S Mahajan… - Scientific Reports, 2024 - nature.com
Fueled by the rapid development of machine learning (ML) and greater access to cloud
computing and graphics processing units, various deep learning based models have been …

A modal‐based Kalman filtering framework for mode extraction and decomposition of damped structures

JS Hwang, DK Kwon, A Kareem - Computer‐Aided Civil and …, 2023 - Wiley Online Library
The mode shape is one of the important modal parameters that enables to visualize the
intrinsic behavior of a structure as well as the quantity of interest by extracting or separating …

[HTML][HTML] Methods for enabling real-time analysis in digital twins: A literature review

MS Es-haghi, C Anitescu, T Rabczuk - Computers & Structures, 2024 - Elsevier
This paper presents a literature review on methods for enabling real-time analysis in digital
twins, which are virtual models of physical systems. The advantages of digital twins are …

Effect of road surface, vehicle, and device characteristics on energy harvesting from bridge–vehicle interactions

P Cahill, V Jaksic, J Keane, A O'Sullivan… - … ‐Aided Civil and …, 2016 - Wiley Online Library
Energy harvesting to power sensors for structural health monitoring (SHM) has received
huge attention worldwide. A number of practical aspects affecting energy harvesting and the …