Sensors,
Journal Year:
2025,
Volume and Issue:
25(8), P. 2528 - 2528
Published: April 17, 2025
Vibration-based
bridge
modal
identification
is
a
crucial
tool
in
monitoring
and
managing
transportation
infrastructure.
Traditionally,
this
entails
deploying
fixed
array
of
sensors
to
measure
responses
such
as
accelerations,
determine
dynamic
characteristics,
subsequently
infer
conditions
that
will
facilitate
prognosis
decision-making.
However,
paradigm
not
scalable,
possesses
limited
spatial
resolution,
typically
high
effort
cost.
Recently,
mobile
sensing-based
paradigms
have
demonstrated
promise
laboratory
field
settings
an
alternative.
These
methods
can
leverage
big
data
from
crowdsourcing
vibration
acquired
smartphone
devices
belonging
pedestrians
passengers
traveling
over
bridge,
constituting
significantly
large
stream
indirectly
sensed
response.
Although
the
efficacy
has
been
for
set
case
studies,
ubiquitous
implementation
requires
analyzing
impact
vehicle
dynamics
quantifying
sources
be
used
purpose
identification.
This
paper
presents
road
map
achieving
through
dynamically
diverse
datastreams
passenger
cars,
buses,
bikes,
scooters.
Existing
point
towards
crowdsourced
sensing
urban
settings,
which
would
effective
decision-making
enhanced
infrastructure
resilience.
The Baltic Journal of Road and Bridge Engineering,
Journal Year:
2025,
Volume and Issue:
20(1), P. 70 - 93
Published: March 28, 2025
A
120-year-old
railway
truss
bridge
over
the
Bóbr
River,
Poland,
is
investigated
in
this
paper
from
mechanical
and
chemical
properties
of
materials
by
testing
old
steel
samples
a
lab
–
through
geodetic
measurements,
bathymetric
measurements
riverbed
dynamic
spans
under
service
load
to
analysis
structural
behaviour
finite-element
modelling.
The
are
elements
extracted
bridge.
Structural
shows
that
eligible
for
renovation
or
replacement
new
one
due
unfulfilled
today’s
requirements
terms
bearing
capacity.
begins
with
survey
chosen
literature
carried
out
on
investigation
bridge's
subject
matter.
This
can
provide
scientists,
engineers,
designers
an
experimental
basis
field
riveted
bridges.
Sensors,
Journal Year:
2025,
Volume and Issue:
25(8), P. 2528 - 2528
Published: April 17, 2025
Vibration-based
bridge
modal
identification
is
a
crucial
tool
in
monitoring
and
managing
transportation
infrastructure.
Traditionally,
this
entails
deploying
fixed
array
of
sensors
to
measure
responses
such
as
accelerations,
determine
dynamic
characteristics,
subsequently
infer
conditions
that
will
facilitate
prognosis
decision-making.
However,
paradigm
not
scalable,
possesses
limited
spatial
resolution,
typically
high
effort
cost.
Recently,
mobile
sensing-based
paradigms
have
demonstrated
promise
laboratory
field
settings
an
alternative.
These
methods
can
leverage
big
data
from
crowdsourcing
vibration
acquired
smartphone
devices
belonging
pedestrians
passengers
traveling
over
bridge,
constituting
significantly
large
stream
indirectly
sensed
response.
Although
the
efficacy
has
been
for
set
case
studies,
ubiquitous
implementation
requires
analyzing
impact
vehicle
dynamics
quantifying
sources
be
used
purpose
identification.
This
paper
presents
road
map
achieving
through
dynamically
diverse
datastreams
passenger
cars,
buses,
bikes,
scooters.
Existing
point
towards
crowdsourced
sensing
urban
settings,
which
would
effective
decision-making
enhanced
infrastructure
resilience.
