Review of intelligent detection and health assessment of underwater structures
S Teng, A Liu, X Ye, J Wang, J Fu, Z Wu, B Chen… - Engineering …, 2024 - Elsevier
This paper aims to comprehensively discuss the latest research developments in the field of
underwater structural defect detection and health assessment. The underwater robots can …
underwater structural defect detection and health assessment. The underwater robots can …
Live-load strain evaluation of the prestressed concrete box-girder bridge using deep learning and clustering
H Zhao, Y Ding, A Li, Z Ren… - Structural Health …, 2020 - journals.sagepub.com
The monitoring data makes it feasible to quickly evaluate the cracking of the prestressed
concrete box-girder bridge. The live-load strain can accurately quantify the load effect and …
concrete box-girder bridge. The live-load strain can accurately quantify the load effect and …
考虑非平稳因素的混凝土桥梁概率极限状态评估.
袁阳光， 韩万水， 李光玲， 郭琦… - Engineering …, 2020 - search.ebscohost.com
are employed, the characteristic value of safety assessment can be taken as 0.705 and
0.805 times are employed, the characteristic value of safety assessment can be taken as …
0.805 times are employed, the characteristic value of safety assessment can be taken as …
Condition assessment of a concrete filled steel tube arch bridge using in-situ vibration measurements and an Improved Artificial Fish Swarm Algorithm
This study aims to assess the condition of a Concrete-Filled Steel Tube (CFST) arch bridge
using in-situ vibration measurements, Finite Element Model Updating (FEMU) and an …
using in-situ vibration measurements, Finite Element Model Updating (FEMU) and an …
Long‐term bridge performance assessment using clustering and Bayesian linear regression for vehicle load and strain mapping model
X Zhang, Y Ding, H Zhao, L Yi - Structural Control and Health …, 2022 - Wiley Online Library
The weigh‐in‐motion (WIM) system and the structural health monitoring (SHM) system have
been used as two separate modules playing different roles in bridge operation and …
been used as two separate modules playing different roles in bridge operation and …
Data-driven monitoring and predictive maintenance for engineering structures: Technologies, implementation challenges, and future directions
Estimating engineering structures' health conditions and predicting their future behaviors are
fundamental problems for a city's safe and efficient operations. Data-driven solutions …
fundamental problems for a city's safe and efficient operations. Data-driven solutions …
Site-specific extreme load estimation of a long-span cable-stayed bridge
X Xu, YL Xu, Y Ren, Q Huang - Journal of Bridge Engineering, 2021 - ascelibrary.org
To provide benefit for design, rating, evaluation and management of signature bridges, site-
specific extreme wind speeds, structural temperatures, and traffic load effects of a long-span …
specific extreme wind speeds, structural temperatures, and traffic load effects of a long-span …
Dynamic real-time reliability prediction of bridge structures based on Copula–BHDLM and measured stress data
B Ge, ZC Wang, Y Xin, S Li, ZQ Yuan - Measurement, 2022 - Elsevier
This study presents a novel dynamic real-time reliability prediction method by considering
the time-varying correlation among the data at multiple measurement points. The Bayesian …
the time-varying correlation among the data at multiple measurement points. The Bayesian …
A Bayesian approach for site-specific extreme load prediction of large scale bridges
X Xu, MC Forde, Y Ren, Q Huang - Structure and Infrastructure …, 2023 - Taylor & Francis
To measure uncertainties of site-specific extreme loads for a signature bridge, a probabilistic
method is developed based on structural health monitoring data in the Bayesian context …
method is developed based on structural health monitoring data in the Bayesian context …
Bayesian updating methodology for probabilistic model of bridge traffic loads using in-service data of traffic environment
The traffic environment of a bridge generally varies over its lifetime and can be affected by
unexpected changes in the surroundings such as the construction of new roads. Therefore …
unexpected changes in the surroundings such as the construction of new roads. Therefore …