[PDF][PDF] A recent research summary on smart sensors for structural health monitoring

EJ Kim, SJ Cho, SH Sim - Journal of the Korea Institute for …, 2015 - koreascience.kr
Structural health monitoring (SHM) is a technique to diagnose an accurate and reliable
condition of civil infrastructure by collecting and analyzing responses from distributed …

Operational modal analysis of reinforced concrete bridges using autoregressive model

K Park, S Kim, M Torbol - Smart Structures and Systems, An International …, 2016 - dbpia.co.kr
This study focuses on the system identification of reinforced concrete bridges using vector
autoregressive model (VAR). First, the time series output response from a bridge establishes …

Real-time remote monitoring: The DuraMote platform and experiments towards future, advanced, large-scale SCADA systems

M Shinozuka, KG Papakonstantinou… - … and Maintenance of …, 2020 - taylorfrancis.com
The economic and social prosperity of our society depends much on the proper functioning
of structures and civil infrastructure systems. This chapter presents the DuraMote platform …

[图书][B] Design, assessment, monitoring and maintenance of bridges and infrastructure networks

F Biondini, DM Frangopol - 2020 - books.google.com
Relevant advances have been accomplished by the scientific community and engineering
profession in the design, assessment, monitoring, maintenance, and management of …

[PDF][PDF] 구조물건전성모니터링을위한스마트센서관련최근연구동향

EJ Kim, SJ Cho, SH Sim - Journal of the Korea Institute for Structural …, 2015 - core.ac.uk
Structural health monitoring (SHM) is a technique to diagnose an accurate and reliable
condition of civil infrastructure by collecting and analyzing responses from distributed …

Dof-based submatrix scaling factors for damage detection in reinforced concrete bridges

K Park, M Torbol - … and Smart Structures Technologies for Civil …, 2016 - spiedigitallibrary.org
This study focuses on the system identification and the damage detection of reinforced
concrete bridges using neural network algorithm, eigenvalue analysis and parallel …

Large scale neural network for damage detection in civil engineering structures: D. Darsono, K. Park & M. Torbol

H Hao, C Zhang - Mechanics of Structures and Materials XXIV, 2019 - taylorfrancis.com
The relationship modal parameter and existing external loads is not cause any damage to
the system. However, the most rigirous comparison of the modal results doesn't provide …

Deep neural network for structural damage detection in bridges

D Darsono, M Torbol - Life Cycle Analysis and Assessment in …, 2018 - books.google.com
ABSTRACT A number of artificial intelligence techniques have been implemented to detect
the damage in civil structure to partially replace onsite inspections. These artificial …

Substructural identification using input-output observations and neural network

AKT Park, M Torbol - … -Cycle of Engineering Systems: Emphasis on …, 2016 - taylorfrancis.com
This study focuses on the system identification and damage detection of reinforced concrete
bridges. The well-known autoregressive exogenous (ARX) algorithm is used to find a data …

[PDF][PDF] Comparison of structural health monitoring systems on the Hwamyung bridge

M Torbol, S Kim, J Kim, S Masanobu - 2013 - i-asem.org
The purpose of these experiments was to test our new system of wireless accelerometers on
civil engineering structures. The system was developed to detect leakages in water …