Structures, Год журнала: 2024, Номер 69, С. 107518 - 107518
Опубликована: Окт. 20, 2024
Язык: Английский
Structures, Год журнала: 2024, Номер 69, С. 107518 - 107518
Опубликована: Окт. 20, 2024
Язык: Английский
Engineering Failure Analysis, Год журнала: 2024, Номер 160, С. 108201 - 108201
Опубликована: Март 4, 2024
Язык: Английский
Процитировано
26Tunnelling and Underground Space Technology, Год журнала: 2025, Номер 159, С. 106445 - 106445
Опубликована: Фев. 11, 2025
Язык: Английский
Процитировано
3Reliability Engineering & System Safety, Год журнала: 2024, Номер 252, С. 110460 - 110460
Опубликована: Авг. 26, 2024
Язык: Английский
Процитировано
15Reliability Engineering & System Safety, Год журнала: 2024, Номер unknown, С. 110512 - 110512
Опубликована: Сен. 1, 2024
Язык: Английский
Процитировано
12Reliability Engineering & System Safety, Год журнала: 2024, Номер 251, С. 110337 - 110337
Опубликована: Июль 8, 2024
Язык: Английский
Процитировано
10IEEE Transactions on Intelligent Transportation Systems, Год журнала: 2024, Номер 25(9), С. 12239 - 12255
Опубликована: Март 12, 2024
The
risk
associated
with
extreme
traffic
loads
on
bridges
has
seldom
been
explored,
State-of-the-art
evaluation
methods
being
time-consuming
and
unsuitable
for
fast
management.
Traditional
management
advocates
optimizing
offline
bridge
maintenance
plans.
In
contrast,
novel
approaches
that
can
assess
manage
this
live
through
Intelligent
Transportation
Systems
(ITSs)
are
lacking.
This
study
addresses
these
gaps
a
three-block
framework.
It
utilizes
Weigh-In-Motion
(WIM)
systems
collecting
bridge-specific
load
data,
develops
probabilistic
Risk
Prediction
Model
estimating
the
frequency
severity
of
overloading
events
drawing
current
Structural
Design
Codes
(SDCs),
simulates
an
ITS-based
architecture
implementing
actions.
framework
was
tested
2.5M
Язык: Английский
Процитировано
8Engineering Structures, Год журнала: 2024, Номер 307, С. 117874 - 117874
Опубликована: Март 23, 2024
Язык: Английский
Процитировано
6Reliability Engineering & System Safety, Год журнала: 2024, Номер 248, С. 110172 - 110172
Опубликована: Апрель 30, 2024
Язык: Английский
Процитировано
4Reliability Engineering & System Safety, Год журнала: 2024, Номер unknown, С. 110783 - 110783
Опубликована: Дек. 1, 2024
Язык: Английский
Процитировано
4Journal of Offshore Mechanics and Arctic Engineering, Год журнала: 2025, Номер 147(5)
Опубликована: Янв. 31, 2025
Abstract The probabilistic-based design method is gaining attention in designing offshore wind turbines (OWTs) owing to its economic design. However, the numerous uncertain variables and tiny target annual failure probability make it unaffordable achieve a reliable Conducting sensitivity analysis (SA) common strategy identify nonsignificant variables, thereby reducing uncertainty space accelerating process. To this end, study aims factors significantly influencing dynamic characteristics of OWTs from structural geometrical, material properties, environmental, soil uncertainties by conducting SA. Primarily, an improved integrating polynomial chaos expansion (PCE) with traditional Morris screening was proposed accelerate SA process, further validated comparing natural frequency results those PCE-based Sobol method. A comprehensive then carried out explore dominant highly representative responses using indicated that pile foundation bending stiffness has remarkable effect on following Young's modulus E tower thickness t, loads serve as most prominent factor support responses. Furthermore, according observed influence parameter stress, proved necessity introducing coupled numerical model for OWT.
Язык: Английский
Процитировано
0