International Journal of Disaster Risk Reduction,
Год журнала:
2022,
Номер
73, С. 102802 - 102802
Опубликована: Янв. 29, 2022
Free-choice
learning
environments,
such
as
museums,
national
parks,
interpretive
trails,
and
visitor
centers,
are
trusted
sources
of
information
in
their
communities
support
lifelong
learning.
Earthquake
education
these
spaces
creates
awareness
earthquake
hazards
risk
areas
where
people
live
or
visit
and,
turn,
may
increase
engagement
preparedness
behavior.
The
ShakeAlert®
Early
Warning
System
helps
publics
prepare
by
warning
advance
shaking
from
significant
earthquakes
along
the
West
Coast
United
States.
ShakeAlert
can
minimize
damage
prompting
automated
actions
(e.g.,
slowing
trains,
shutting
off
water
valves)
personal
protective
like
"Drop,
Cover,
Hold
On"
to
significantly
reduce
damage,
injury,
loss
life.
Individuals
must
have
a
basic
understanding
hazards,
well
an
technology,
know
how
respond
if
they
feel
receive
alert.
Currently,
there
is
lack
contemporary
scholarship
on
free-choice
environments
approach
through
exhibits
displays.
We
analyzed
sample
existing
themes
States
explored
different
display
types
uniquely
engaging.
found
that
most
displays
did
not
include
about
for
associated
actions.
From
this
development
typology,
our
research
posits
foundational
framework
best
incorporate
place-based
early
into
centers
which
apply
range
other
natural
will
enhance
public
safety.
Climate Risk Management,
Год журнала:
2021,
Номер
35, С. 100387 - 100387
Опубликована: Дек. 22, 2021
Delivering
infrastructure,
resilient
to
multiple
natural
hazards
and
climate
change,
is
fundamental
continued
economic
prosperity
social
coherence.
This
a
strategic
priority
of
the
United
Nations
Sustainable
Development
Goals
(SDGs),
World
Bank,
Organisation
for
Economic
Co-operation
(OECD),
public
policies
global
initiatives.
The
operability
functionality
critical
infrastructure
are
continuously
challenged
by
stressors,
increasing
demands
ageing,
whilst
their
interconnectedness
dependencies
pose
additional
challenges.
Emerging
disruptive
digital
technologies
have
potential
enhance
resilience
providing
rapid
accurate
assessment
asset
condition
support
decision-making
adaptation.
In
this
pursuit,
it
imperative
adopt
multidisciplinary
roadmaps
deploy
computational,
communication
other
technologies,
tools
monitoring
systems.
Nevertheless,
these
emerging
remains
largely
unexploited,
as
there
lack
consensus,
integrated
approaches
legislation
in
use.
perspective
paper,
we
discuss
main
challenges
enablers
climate-resilient
identify
how
available
roadmaps,
e.g.
Internet
Things,
twins,
point
clouds,
Artificial
Intelligence,
Building
Information
Modelling,
can
be
placed
at
service
safer
world.
We
show
will
lead
enhanced
resilience,
delivering
efficient
reliable
decision-making,
proactive
and/or
reactive
manner,
prior,
during
after
hazard
occurrences.
respect,
significantly
reduce
uncertainties
all
phases
evaluations.
Thus,
building
aided
underpin
activities
globally,
contribute
Net
Zero
target
hence
safeguard
our
societies
economies.
To
achieve
set
an
agenda,
which
aligned
with
relevant
SDGs
highlights
urgent
need
deliver
holistic
inclusive
standards
legislation,
supported
coordinated
alliances,
fully
utilise
technologies.
Resilient Cities and Structures,
Год журнала:
2022,
Номер
1(2), С. 23 - 41
Опубликована: Июнь 1, 2022
Risk
assessment
and
mitigation
programs
have
been
carried
out
over
the
last
decades
in
attempt
to
reduce
transportation
infrastructure
downtime
post-disaster
recovery
costs.
Recently,
concept
of
resilience
gained
increasing
importance
design,
assessment,
maintenance,
rehabilitation
structures
systems,
particularly
bridges
networks,
exposed
natural
man-made
hazards.
In
field
disaster
mitigation,
frameworks
proposed
provide
a
basis
for
development
qualitative
quantitative
models
quantifying
functionality
at
various
scales,
including
components,
groups
systems
within
networks
communities.
these
frameworks,
effects
aging
environmental
aggressiveness
must
be
explicitly
considered,
affecting
structural
performance
civil
systems.
Significant
efforts
made
incorporate
risk
into
informed
decision
making
decide
how
best
use
resources
minimize
impact
hazards
on
This
review
paper
is
part
efforts.
It
presents
an
overview
main
principles
concepts,
methods
strategies,
advances
accomplishments
life-cycle
reliability,
with
emphasis
seismic
road
networks.
International Journal of Disaster Risk Reduction,
Год журнала:
2022,
Номер
85, С. 103400 - 103400
Опубликована: Дек. 29, 2022
In
this
Special
Issue
introductory
paper,
we
present
the
Tomorrow's
Cities
Decision
Support
Environment
(TCDSE).
As
negative
impacts
of
natural
hazards
continue
to
escalate
around
world
due
increasing
populations,
climate
change,
and
rapid
urbanisation
(among
other
factors
processes),
there
is
an
urgent
requirement
develop
structured
operational
approaches
towards
multi-hazard
risk-informed
decision
making
on
urban
planning
design.
This
a
particularly
pressing
issue
for
low-to-middle
income
countries,
which
are
set
be
impacted
ever
more
disproportionately
during
future
natural-hazard
events
if
"business
as
usual"
urban-development
approach
continues
unabated.
Urban
poor
residents
these
countries
will
significantly
suffer
under
risk-insensitive
development
trajectories.
The
proposed
TCDSE
addresses
crucial
challenge.
It
facilitates
participatory,
people-centred
making,
using
state-of-the-art
procedures
physics-based
hazard
engineering
impact
modelling,
integrating
physical
social
vulnerability
in
unified
framework,
expressing
consequences
disasters
across
array
stakeholder-weighted
metrics
that
facilitate
democratisation
risk
concept.
purpose
paper
provide
detailed
description
each
component
TCDSE,
characterising
related
data
inflows
outflows
between
modules.
We
conclude
with
short
end-to-end
demonstration
Tomorrowville
virtual
testbed.
Individual
components
further
dealt
detail
within
subsequent
papers
Issue.
Infrastructures,
Год журнала:
2022,
Номер
7(5), С. 67 - 67
Опубликована: Май 2, 2022
Critical
infrastructures
such
as
transportation,
power,
telecommunication,
water
supply,
and
hospitals
play
a
vital
role
in
effectively
managing
post-disaster
responses.
The
resilience
of
critical
should
be
incorporated
the
planning
designing
phase
based
on
risk
assessment
particular
geographic
area.
However,
framework
to
assess
infrastructure
(CIR)
is
variably
conceptualised.
Therefore,
objective
this
study
was
critically
appraise
existing
CIR
frameworks
developed
since
adoption
Sendai
Framework
2015
with
hazard
focus
earthquakes.
preferred
reporting
items
for
systematic
reviews
meta-analyses
(PRISMA)
method
used
selection
24
most
relevant
studies,
these
were
analysed
delineate
frameworks,
models,
concepts.
found
that
there
are
wide-ranging
disparities
among
resilience,
it
has
become
key
challenge
prioritise
resilience-based
investment
sector.
Furthermore,
attributes
performance
indicators,
emergency
aspects,
damage
need
considered
different
disaster
phases—ex-ante,
during,
ex-post—to
improve
long-term
infrastructure.
Subsequently,
an
integrated
adaptable
proposed
proper
decision
making.
Results in Engineering,
Год журнала:
2024,
Номер
21, С. 101750 - 101750
Опубликована: Янв. 5, 2024
Seismic
fragility
assessment
provides
a
substantial
tool
for
assessing
the
seismic
resilience
of
these
buildings.
However,
using
traditional
numerical
methods
to
derive
curves
poses
significant
challenges.
These
often
overlook
diverse
range
buildings
found
in
different
regions,
as
they
rely
on
standardized
assumptions
and
parameters.
Consequently,
may
not
accurately
capture
response
various
building
types.
Alternatively,
extensive
data
collection
becomes
essential
address
this
knowledge
gap
by
understanding
local
construction
techniques
identifying
relevant
This
is
crucial
developing
reliable
analytical
approaches
that
can
curves.
To
overcome
challenges,
research
employs
four
Machine
Learning
(ML)
techniques,
namely
Support
Vector
Regression
(SVR),
Stochastic
Gradient
Descent
(SGD),
Random
Forest
(RF),
Linear
(LR),
probability
collapse
terms
Peak
Ground
Acceleration
(PGA).
achieve
objective,
comprehensive
input/output
dataset
consisting
on-site
collected
from
646
masonry
walls
Malawi
used.
Adopted
ML
models
are
trained
tested
entire
then
again
only
most
highly
correlated
features.
The
study
includes
comparative
analysis
efficiency
accuracy
each
approach
influence
used
analyses.
(RF)
technique
emerges
efficient
deriving
surveyed
achieved
lowest
values
evaluation
metrics
methods.
scored
Mean
Absolute
Percentage
Error
(MAPE)
16.8
%,
Root
Square
(RMSE)
0.0547.
results
highlight
potential
particularly
RF,
derivation
with
proper
levels
accuracy.
Earthquake Engineering & Structural Dynamics,
Год журнала:
2024,
Номер
53(9), С. 2756 - 2781
Опубликована: Апрель 27, 2024
Abstract
Recent
destructive
seismic
events
have
underlined
the
need
for
increasing
research
efforts
devoted
to
development
of
innovative
seismic‐resilient
structures
able
reduce
seismic‐induced
direct
and
indirect
losses.
Regarding
steel
Moment
Resisting
Frames
(MRFs),
inclusion
Friction
Devices
(FDs)
in
Beam‐to‐Column
Joints
(BCJs)
has
emerged
as
an
effective
solution
dissipate
input
energy
while
ensuring
a
damage‐free
behavior.
Additionally,
recent
studies
demonstrated
benefits
implementing
similar
solutions
Column
Bases
(CBs).
In
this
context,
authors
recently
experimentally
investigated
Self‐Centering
CB
(SC‐CB)
aimed
at
residual
drift
reduction.
Previous
experimental
tests
only
focused
on
response
isolated
SC‐CBs
under
cyclic
loads.
Conversely,
present
paper
advances
through
campaign
large‐scale
structure
equipped
with
proposed
SC‐CBs,
providing
valuable
insights
into
global
structural
improved
repairability.
A
set
eight
Pseudo‐Dynamic
(PsD)
were
conducted
considering
different
records
configurations
structure.
The
results
highlighted
effectiveness
minimizing
interstory
drifts
protecting
first‐story
columns
from
damage,
thus
enhancing
structure's
resilience.
Moreover,
consecutive
PsD
allowed
investigating
reparation
process
restoring
performance
‘undamaged’
An
advanced
numerical
model
was
developed
OpenSees
validated
against
component‐level
results.
Incremental
Dynamic
Analyses
finally
performed
investigate
influence
accounting
record‐to‐record
variability.
Infrastructures,
Год журнала:
2024,
Номер
9(1), С. 10 - 10
Опубликована: Янв. 5, 2024
This
study
addresses
the
vital
issue
of
variability
associated
with
modeling
decisions
in
dam
seismic
analysis.
Traditionally,
structural
and
simulations
employ
a
progressive
approach,
where
more
complex
models
are
gradually
incorporated.
For
example,
if
previous
levels
indicate
insufficient
safety
margins,
advanced
analysis
is
then
undertaken.
Recognizing
constraints
evaluating
influence
various
methods
essential
for
improving
comprehension
effectiveness
assessments.
To
this
end,
an
extensive
parametric
carried
out
to
evaluate
response
Koyna
Pine
Flat
dams
using
solution
approaches
model
complexities.
Numerical
conducted
2D
framework
across
three
software
programs,
encompassing
different
system
configurations.
Additional
complexity
introduced
by
simulating
reservoir
dynamics
Westergaard-added
mass
or
acoustic
elements.
Linear
nonlinear
analyses
performed,
incorporating
pertinent
material
properties,
employing
concrete
damage
plasticity
latter.
Modal
parameters
crest
displacement
time
histories
used
highlight
among
selected
procedures
Finally,
recommendations
made
regarding
adequacy
robustness
each
method,
specifying
scenarios
which
they
most
effectively
applied.