Detection of structural damage using the exponential sine sweep method [PDF]
, 2013 Structural damages can result in nonlinear dynamical responses. Thus, estimating the nonlinearities generated by damages potentially allows detecting them.
HAJRYA, Rafik +2 more
core
PLoS ONE, 2015 Structural health monitoring (SHM) is challenged by massive data storage pressure and structural fault location. In response to these issues, a bio-inspired memory model that is embedded with a causality reasoning function is proposed for fault location.
Wei Zheng, Chunxian Wu
doaj +1 more source
Geographical Area Network—Structural Health Monitoring Utility Computing Model
ISPRS International Journal of Geo-Information, 2019 In view of intensified disasters and fatalities caused by natural phenomena and geographical expansion, there is a pressing need for a more effective environment logging for a better management and urban planning.
Hasan Tariq +5 more
doaj +1 more source
Advancing crack detection with generative AI for structural health monitoring
Structural Health MonitoringMonitoring structural integrity through accurate crack detection is fundamental to ensuring the safety and longevity of civil engineering infrastructure.
Yanda Shao +5 more
semanticscholar +1 more source
STRUCTURAL HEALTH MONITORING (SHM) OF COMPOSITE AEROSPACE STRUCTURES USING LAMB WAVES
, 2013 Full derivation of Lamb wave equations for monoclinic composite laminates based on linear 3-D elasticity and partial wave techniques is presented.
Shashank Pant +2 more
openaire +2 more sources
QUT structural health monitoring system and the capture of recent Queensland earthquakes [PDF]
, 2015 This article reports the main features of an innovative full-scale Structural Health Monitoring (SHM) system which has been implemented onto a landmark building on QUT Gardens Point Campus and its efficacy in capturing the recent Queensland earthquakes ...
Kodikara, Tharindu +3 more
core
A General Bayesian Framework for Ellipse-based and Hyperbola-based Damage Localisation in Anisotropic Composite Plates [PDF]
, 2015 This paper focuses on Bayesian Lamb wave-based damage localization in structural health monitoring of anisotropic composite materials. A Bayesian framework is applied to take account for uncertainties from experimental time-of-flight measurements and ...
GUSKOV, Mikhail +3 more
core +1 more source
The Past, Present and Future of Structural Health Monitoring: An Overview of Three Ages
StrainThis paper presents an overview of the discipline of structural health monitoring (SHM), organised in terms of three proposed ages. The first age is delineated by the prehistory of SHM and the period where nondestructing testing methods evolved into an ...
C. Farrar, N. Dervilis, K. Worden
semanticscholar +1 more source
Finite element model updating of a cable-stayed bridge using structural health monitoring data
, 2021 This paper presents a finite-element model of the Phu My Bridge, a 380m-main span reinforced concrete cable-stayed bridge in Ho Chi Minh City, Vietnam.
Oh, E +4 more
core
Optimal Sensor Placement for Structural Health Monitoring: A Comprehensive Review
J. Sens. Actuator NetworksThe structural health monitoring (SHM) of bridge infrastructure has become essential for ensuring safety, serviceability, and long-term functionality amid aging structures and increasing load demands.
Zhiyan Sun +5 more
semanticscholar +1 more source