Results 1 to 10 of about 6,733,077 (205)
Journal of Sound and Vibration, 2021 Structural damage identification has received considerable attention during the past decades. Although several reviews have been presented, some new developments have emerged in this area, particularly machine learning and artificial intelligence ...
Rongrong Hou, Yong Xia
exaly +2 more sources
Algorithms, 2021 The shallow features extracted by the traditional artificial intelligence algorithm-based damage identification methods pose low sensitivity and ignore the timing characteristics of vibration signals.
Lei Fu +4 more
doaj +2 more sources
Damage identification in structural health monitoring: a brief review from its implementation to the Use of data-driven applications [PDF]
Italian National Conference on Sensors, 2020 The damage identification process provides relevant information about the current state of a structure under inspection, and it can be approached from two different points of view.
Agis Cherta, David +4 more
core +3 more sources
Recent progress and future trends on damage identification methods for bridge structures
Structural Control and Health Monitoring, 2019 Damage identification forms a key objective in structural health monitoring. Several state‐of‐the‐art review papers regarding progress in this field up to 2011 have been published.
Yonghui An +2 more
exaly +2 more sources
Damage identification of offshore jacket platforms in a digital twin framework considering optimal sensor placement [PDF]
Reliability Engineering & System Safety, 2023 A new digital twin (DT) framework with optimal sensor placement (OSP) is proposed to accurately calculate the modal responses and identify the damage ratios of the offshore jacket platforms.
Mengmeng Wang +5 more
semanticscholar +1 more source
Auto-Regressive Integrated Moving-Average Machine Learning for Damage Identification of Steel Frames
Applied Sciences, 2021 Auto-regressive (AR) time series (TS) models are useful for structural damage detection in vibration-based structural health monitoring (SHM). However, certain limitations, e.g., non-stationarity and subjective feature selection, have reduced its wide ...
Yuqing Gao +4 more
doaj +1 more source
Applied Sciences, 2022 In view of problems such as closed traffic, the large number of sensors required, and the labor-intensive and time-consuming nature of previous bridge detection, this paper analyzes the dynamic response of the vehicle body of the continuous girder bridge
Kai Liu, Haopeng Qi, Zengshou Sun
doaj +1 more source
Damage assessment in beam-like structures by correlation of spectrum using machine learning
Fracture and Structural Integrity, 2023 Damage assessment in the actual operating process of the structure is a modern and exciting problem of construction engineering due to several practical knowledge about the current condition of the inspected structures.
Luan Vuong-Cong +2 more
doaj +1 more source
Buildings, 2022 In civil engineering structures, modal changes produced by environmental conditions, especially temperature, can be equivalent to or greater than the ones produced by damage.
Jin Luo, Minshui Huang, Yongzhi Lei
semanticscholar +1 more source
Deep learning-based indirect bridge damage identification system
, 2023 With the growing number of well-aged bridges and the urgency in developing reliable, (pseudo-) real-time monitoring of structural safety and integrity, there is a worldwide and widespread campaign toward transforming structural health monitoring practice.
D. Hajializadeh
semanticscholar +1 more source