Structural health monitoring of civil engineering structures by using the internet of things: A review

M Mishra, PB Lourenço, GV Ramana - Journal of Building Engineering, 2022 - Elsevier
Structural health monitoring (SHM) and damage assessment of civil engineering
infrastructure are complex tasks. Structural health and strength of structures are influenced …

Review on recent advances in structural health monitoring paradigm for looseness detection in bolted assemblies

N Chelimilla, V Chinthapenta… - Structural Health …, 2023 - journals.sagepub.com
The integrity of bolted joints is still a challenging problem owing to the gross or localized slip
at the interfacial surfaces of the joints when subjected to external disturbances such as …

A novel wireless low-cost inclinometer made from combining the measurements of multiple MEMS gyroscopes and accelerometers

S Komarizadehasl, M Komary, A Alahmad… - Sensors, 2022 - mdpi.com
Structural damage detection using inclinometers is getting wide attention from researchers.
However, the high price of inclinometers limits this system to unique structures with a …

MUHAFIZ: IoT-based track recording vehicle for the damage analysis of the railway track

AA Shah, NA Bhatti, K Dev… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Fault diagnosis plays a major role in railway condition monitoring, as early diagnosis of the
emerging faults can save valuable time, reduce maintenance costs and, most significantly …

Development and Verification of Wireless Vibration Sensors

Q Pei, P Qi, Y Lu, L Qin - Buildings, 2023 - mdpi.com
Structural vibration testing is an effective guarantee for the Structural Health Monitoring
(SHM) of large-scale civil engineering. Traditional vibration testing has drawbacks such as …

Development of a smart instrumentation for analyzing railway track health monitoring using forced vibration

BS Chowdhry, AA Shah, N Harris… - 2020 IEEE 14th …, 2020 - ieeexplore.ieee.org
Harmonic responses play a prominent role in determining metallic faults in railways.
Therefore, it is useful to develop some instrumentation governed by the principles of forced …

Sports Ed 3.5: Establishing the value of data-driven sports development programs for universities through machine learning models

E Mendoza Torralba - Proceedings of the 2020 8th International …, 2020 - dl.acm.org
Sports have evolved from the exposition of athletes' pure talent to an industry that generates
jobs and entertainment. In the Philippines, athletes from different Universities and Colleges …

Use of IoT for structural health monitoring of civil engineering structures: a state-of-the-art review

S Bhatta, J Dang - Urban Lifeline, 2024 - Springer
The primary goal of Structural Health Monitoring (SHM) is to assess performance and
determine the physical state of the structures. Technological improvements and the …

Evaluation of Seismic Response on Small-Scale Reinforced Concrete Frame Using Small-Scale Low-Cost Equipment's

K Senthil, M Yadav, T Singh… - IOP Conference Series …, 2024 - iopscience.iop.org
The security of the infrastructures is an important part and the responsibility of the nation.
Therefore, the study is focused on investigating the seismic response of small-scale …

Machine-learning-based bridge damage detection using train-borne measurements

D Hajializadeh - Proceedings of the Institution of Civil …, 2023 - icevirtuallibrary.com
This study presents a novel machine-learning-based approach for damage detection using
train-borne measurements, under operational conditions (speed> 50 km/h, rail irregularities …