Personal Information
Organization / Workplace
Dublin, Dublin Ireland
Industry
Education
Website
www.trussitn.eu
About
TRUSS (Training in Reducing Uncertainty in Structural Safety, 2015-2019, http://trussITN.eu ) is a Marie Skłodowska-Curie Innovative Training Network funded by the European Union under the Horizon 2020 Programme. The growth of cities, impacts of climate change and the massive cost of providing new infrastructure provide the impetus for TRUSS which aims to maximize the potential of infrastructure that already exists. If flaws in a structure can be identified early, the cost of repair will be vastly reduced, and here an effective monitoring system would allow identifying the optimum time to repair as well as improving structural safety.
Tags
structural health monitoring
ship unloader
shm
bridge
nuclear rack
concrete
fuel consumption
offshore wind turbine tower
bridge safety
truss itn
unmanned aerial vehicles
drones
reliability
distributed optical fiber sensors
fatigue
fatigue life
concrete reinforcement
bayesian updating
reliability analysis
damage detection
machine learning
drive-by monitoring. structural monitoring
instrumented vehicles
bayesian belief network
field testing
structural monitoring
ship
braided frp
compressive strength
pavement
bridges
uncertainty
truss
surrogate modelling
structural safety
structural assessment
bridge inspection
moving load
in-situ concrete
uav
kriging surrogate model
point cloud
segmentation
bridge condition
railway bridge
inspection planning
doctoral training.
deck extraction
infrastructure
marie skłodowska-curie
pavement inspection
sfm
itn
marie sklodowska-curie itn
wind turbine tower
transport infrastructure
marine infrastructure
doctoral research
energy infrastructure
horizon 2020
msca
structural uncertainty
dynamic response
dynamic amplification
monitoring
non-linear structural response
transient response
fluid-structure interaction
concrete strength
non-destructive testing
in-situ testing
3d reconstruction
kriging interpolation
hilbert huang transform
traffic speed deflectometer
road
trucks
ghg
aerial images
big data
pavement lca
ghg emissions
dynamic loading
hoisting operations
life cycle costs
value of inspection
non-linear fluid-structure interaction
seismic loading
field assessment
in-situ strength
reinforced concrete
bridges monitoring
fatigue testing
railway
strain
weigh-in-motion
ssq
spectral shift quality
bonding
dofs
braided bfrp
fiber reinforced polymer
material characterization
bridge diagnosis
expert judgement
conditional probability tables
reinforcement corrosion
probabilistic assessment
instantaneous curvature
laser doppler vibrometer
fatigue damage
fatigue reliability analysis
point clouds
outlier detection
dynamics
characterisation of frp materials
tensile behaviour
unidirectional fibres
braiding technique
bfrp rebars
big data analysis
road performance evaluation
inspection uncertainty
maintenance optimization
risk-based inspection
structural integrity management
probabilistic analysis
ceri 2018
truss.
post-installed screw pullout test
non-destructive tests
optical fiber
axle detection
damage identification
empirical mode decomposition (emd)
neuro-fuzzy neural network
bhm
health monitoring
influence line
bridge reliability
water coupling
rack
free-standing
vibration tests
displacement transducers
sensors
accuracy
sensitivity
reconciled model
uncertainties
See more
Presentations
(38)Personal Information
Organization / Workplace
Dublin, Dublin Ireland
Industry
Education
Website
www.trussitn.eu
About
TRUSS (Training in Reducing Uncertainty in Structural Safety, 2015-2019, http://trussITN.eu ) is a Marie Skłodowska-Curie Innovative Training Network funded by the European Union under the Horizon 2020 Programme. The growth of cities, impacts of climate change and the massive cost of providing new infrastructure provide the impetus for TRUSS which aims to maximize the potential of infrastructure that already exists. If flaws in a structure can be identified early, the cost of repair will be vastly reduced, and here an effective monitoring system would allow identifying the optimum time to repair as well as improving structural safety.
Tags
structural health monitoring
ship unloader
shm
bridge
nuclear rack
concrete
fuel consumption
offshore wind turbine tower
bridge safety
truss itn
unmanned aerial vehicles
drones
reliability
distributed optical fiber sensors
fatigue
fatigue life
concrete reinforcement
bayesian updating
reliability analysis
damage detection
machine learning
drive-by monitoring. structural monitoring
instrumented vehicles
bayesian belief network
field testing
structural monitoring
ship
braided frp
compressive strength
pavement
bridges
uncertainty
truss
surrogate modelling
structural safety
structural assessment
bridge inspection
moving load
in-situ concrete
uav
kriging surrogate model
point cloud
segmentation
bridge condition
railway bridge
inspection planning
doctoral training.
deck extraction
infrastructure
marie skłodowska-curie
pavement inspection
sfm
itn
marie sklodowska-curie itn
wind turbine tower
transport infrastructure
marine infrastructure
doctoral research
energy infrastructure
horizon 2020
msca
structural uncertainty
dynamic response
dynamic amplification
monitoring
non-linear structural response
transient response
fluid-structure interaction
concrete strength
non-destructive testing
in-situ testing
3d reconstruction
kriging interpolation
hilbert huang transform
traffic speed deflectometer
road
trucks
ghg
aerial images
big data
pavement lca
ghg emissions
dynamic loading
hoisting operations
life cycle costs
value of inspection
non-linear fluid-structure interaction
seismic loading
field assessment
in-situ strength
reinforced concrete
bridges monitoring
fatigue testing
railway
strain
weigh-in-motion
ssq
spectral shift quality
bonding
dofs
braided bfrp
fiber reinforced polymer
material characterization
bridge diagnosis
expert judgement
conditional probability tables
reinforcement corrosion
probabilistic assessment
instantaneous curvature
laser doppler vibrometer
fatigue damage
fatigue reliability analysis
point clouds
outlier detection
dynamics
characterisation of frp materials
tensile behaviour
unidirectional fibres
braiding technique
bfrp rebars
big data analysis
road performance evaluation
inspection uncertainty
maintenance optimization
risk-based inspection
structural integrity management
probabilistic analysis
ceri 2018
truss.
post-installed screw pullout test
non-destructive tests
optical fiber
axle detection
damage identification
empirical mode decomposition (emd)
neuro-fuzzy neural network
bhm
health monitoring
influence line
bridge reliability
water coupling
rack
free-standing
vibration tests
displacement transducers
sensors
accuracy
sensitivity
reconciled model
uncertainties
See more