Finite element model updating and damage identification using semi-rigidly connected frame element and optimization procedure: An experimental validation
Owing to ever-increasing complexity of engineering structures, developing a methodology
for the early detection of defects has become crucial to ensure their long-term safety and …
for the early detection of defects has become crucial to ensure their long-term safety and …
Methodology maps for model-based sensor-data interpretation to support civil-infrastructure management
With increasing urbanization and depleting reserves of raw materials for construction,
sustainable management of existing infrastructure will be an important challenge in this …
sustainable management of existing infrastructure will be an important challenge in this …
The application of PSO in structural damage detection: An analysis of the previously released publications (2005–2020)
The structural health monitoring (SHM) approach plays a key role not only in structural
engineering but also in other various engineering disciplines by evaluating the safety and …
engineering but also in other various engineering disciplines by evaluating the safety and …
Ant lion optimisation algorithm for structural damage detection using vibration data
Structural damage assessment is crucial for structural health monitoring to evaluate the
safety and residual service life of the structure. To solve the structural damage detection …
safety and residual service life of the structure. To solve the structural damage detection …
Combined joint and member damage identification of semi-rigid frames with slender beams considering shear deformation
F Xiao, X Meng, W Zhu, GS Chen, Y Yan - Buildings, 2023 - mdpi.com
A damage identification methodology considering shear deformation was presented in this
paper to identify damage to semi-rigid frames with slender beams. On the basis of the …
paper to identify damage to semi-rigid frames with slender beams. On the basis of the …
A data-driven based method for damage detection of combining joints and elements of frame structures using noisy incomplete data
TT Truong, J Lee, T Nguyen-Thoi - Engineering Applications of Artificial …, 2023 - Elsevier
Most previous studies on damage detection in civil engineering structures have focused on
either element damage detection or joint damage detection, separately. However, in …
either element damage detection or joint damage detection, separately. However, in …
Performance studies of 10 metaheuristic techniques in determination of damages for large-scale spatial trusses from changes in vibration responses
The determination of the location and severity of damage is a crucial task in the damage
assessment of structures. In this study, 10 population-based metaheuristic techniques are …
assessment of structures. In this study, 10 population-based metaheuristic techniques are …
Joint damage detection of structures with noisy data by an effective deep learning framework using autoencoder-convolutional gated recurrent unit
Recent advances in chip and sensor technology allow a large amount of data to be collected
for serving structural damage detection (SDD). However, how to efficiently utilize and …
for serving structural damage detection (SDD). However, how to efficiently utilize and …
Parameter identification of structures with different connections using static responses
F Xiao, W Zhu, X Meng, GS Chen - Applied Sciences, 2022 - mdpi.com
This paper presents a parameter-identification method for rod structures with different
connections. In this method, the parameters of the structure are adjusted to match its …
connections. In this method, the parameters of the structure are adjusted to match its …
Structural damage assessment with incomplete and noisy modal data using model reduction technique and LAPO algorithm
D Dinh-Cong, T Pham-Toan… - Structure and …, 2019 - Taylor & Francis
The present article proposes an efficient method for damage assessment of structures with
incomplete and noisy modal data using model reduction method and Lightning Attachment …
incomplete and noisy modal data using model reduction method and Lightning Attachment …