Damage assessment and diagnosis of hydraulic concrete structures using optimization-based machine learning technology
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Damage assessment and diagnosis of hydraulic concrete structures using optimization-based machine learning technology
Authors
Keywords
-
Journal
Frontiers of Structural and Civil Engineering
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2023-10-14
DOI
10.1007/s11709-023-0975-9
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Deep convolutional neural network for multi-level non-invasive tunnel lining assessment
- (2022) Bernardino Chiaia et al. Frontiers of Structural and Civil Engineering
- Pearson Correlation and Discrete Wavelet Transform for Crack Identification in Steel Beams
- (2022) Morteza Saadatmorad et al. Mathematics
- Detection of damage locations and damage steps in pile foundations using acoustic emissions with deep learning technology
- (2021) Alipujiang Jierula et al. Frontiers of Structural and Civil Engineering
- Automated classification of civil structure defects based on convolutional neural network
- (2021) Pierclaudio Savino et al. Frontiers of Structural and Civil Engineering
- A hybrid computational intelligence approach for structural damage detection using marine predator algorithm and feedforward neural networks
- (2021) Long Viet Ho et al. COMPUTERS & STRUCTURES
- Data-driven crack behavior anomaly identification method for concrete dams in long-term service using offline and online change point detection
- (2021) Yangtao Li et al. Journal of Civil Structural Health Monitoring
- An efficient stochastic-based coupled model for damage identification in plate structures
- (2021) Long Viet Ho et al. ENGINEERING FAILURE ANALYSIS
- Performance-improved TSVR-based DHM model of super high arch dams using measured air temperature
- (2021) Dongyang Yuan et al. ENGINEERING STRUCTURES
- Assessment of damage in hydraulic concrete by gray wolf optimization‐support vector machine model and hierarchical clustering analysis of acoustic emission
- (2021) Xing Li et al. Structural Control & Health Monitoring
- A hybrid PSO and Grey Wolf Optimization algorithm for static and dynamic crack identification
- (2021) Faisal Al Thobiani et al. THEORETICAL AND APPLIED FRACTURE MECHANICS
- IDE-MLSSVR-Based Back Analysis Method for Multiple Mechanical Parameters of Concrete Dams
- (2020) Tengfei Bao et al. JOURNAL OF STRUCTURAL ENGINEERING
- Improved PLS and PSO methods-based back analysis for elastic modulus of dam
- (2019) Lifu Yang et al. ADVANCES IN ENGINEERING SOFTWARE
- Computer vision for SHM of civil infrastructure: From dynamic response measurement to damage detection – A review
- (2018) Dongming Feng et al. ENGINEERING STRUCTURES
- Multi-scale performance simulation and effect analysis for hydraulic concrete submitted to leaching and frost
- (2018) Huaizhi Su et al. ENGINEERING WITH COMPUTERS
- Crack and Noncrack Classification from Concrete Surface Images Using Machine Learning
- (2018) Hyunjun Kim et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- Integrated certainty and uncertainty evaluation approach for seepage control effectiveness of a gravity dam
- (2018) Huaizhi Su et al. APPLIED MATHEMATICAL MODELLING
- Study on crack formation and propagation in the galleries of the Dagangshan high arch dam in Southwest China based on microseismic monitoring and numerical simulation
- (2018) Duanyang Zhuang et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- Earthquake Behavior of Berke Arch Dam Using Ambient Vibration Test Results
- (2011) Barış Sevim et al. JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES
- Dynamic response of gravity dam model with crack and damage detection
- (2011) ShanShan Wang et al. Science China-Technological Sciences
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More