Machine-learning prediction of aerodynamic damping for buildings and structures undergoing flow-induced vibrations
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Machine-learning prediction of aerodynamic damping for buildings and structures undergoing flow-induced vibrations
Authors
Keywords
-
Journal
Journal of Building Engineering
Volume 63, Issue -, Pages 105374
Publisher
Elsevier BV
Online
2022-10-15
DOI
10.1016/j.jobe.2022.105374
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A framework of structural damage detection for civil structures using a combined multi-scale convolutional neural network and echo state network
- (2022) Yingying He et al. ENGINEERING WITH COMPUTERS
- Decoupling bi-directional fluid-structure interactions by the Koopman theory: actualizing one-way subcases and the role of crosswind structure motion
- (2022) Zeng-Shun Chen et al. PHYSICS OF FLUIDS
- Estimation of directional design wind speeds via multiple population genetic algorithm
- (2021) Jingcheng Wang et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Machine learning strategy for predicting flutter performance of streamlined box girders
- (2021) Haili Liao et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Measurement of unsteady aerodynamic force on a galloping prism in a turbulent flow: A hybrid aeroelastic-pressure balance
- (2021) Zengshun Chen et al. JOURNAL OF FLUIDS AND STRUCTURES
- A perspective on the aerodynamics and aeroelasticity of tapering: Partial reattachment
- (2021) Zengshun Chen et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Pressure pattern recognition in buildings using an unsupervised machine-learning algorithm
- (2021) Bubryur Kim et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Unsteady aerodynamic forces on a tapered prism during the combined vibration of VIV and galloping
- (2021) Zengshun Chen et al. NONLINEAR DYNAMICS
- Establishing direct phenomenological connections between fluid and structure by the Koopman-Linearly Time-Invariant analysis
- (2021) Cruz Y. Li et al. PHYSICS OF FLUIDS
- Non-wind-induced nonlinear damping and stiffness on slender prisms: a forced vibration-pressure balance
- (2020) Zengshun Chen et al. ENGINEERING STRUCTURES
- Predicting wind pressures around circular cylinders using machine learning techniques
- (2020) Gang Hu et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Deep learning-based investigation of wind pressures on tall building under interference effects
- (2020) Gang Hu et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Identification of nonlinear aerodynamic damping from stochastic crosswind response of tall buildings using unscented Kalman filter technique
- (2020) Yanchi Wu et al. ENGINEERING STRUCTURES
- Dynamic Mode Decomposition on pressure flow field analysis: Flow field reconstruction, accuracy, and practical significance
- (2020) Cruz Y. Li et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Characteristics of unsteady aerodynamic forces on an aeroelastic prism: A comparative study
- (2020) Zengshun Chen et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Error bounds for deep ReLU networks using the Kolmogorov–Arnold superposition theorem
- (2020) Hadrien Montanelli et al. NEURAL NETWORKS
- Machine learning-based prediction for compressive and flexural strengths of steel fiber-reinforced concrete
- (2020) Min-Chang Kang et al. CONSTRUCTION AND BUILDING MATERIALS
- Online DWT algorithm for identification of aerodynamic damping in wind turbines
- (2020) Bei Chen et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey
- (2019) Giang Nguyen et al. ARTIFICIAL INTELLIGENCE REVIEW
- Automatic Identification of Bridge Vortex-Induced Vibration Using Random Decrement Method
- (2019) Huang et al. Applied Sciences-Basel
- Identification method and application of aerodynamic damping characteristics of super high-rise buildings under narrow-band excitation
- (2019) Lele Zhang et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Investigation on wind-induced aero-elastic effects of tall buildings by wind tunnel test using a bi-axial forced vibration device
- (2019) Weiwei Song et al. ENGINEERING STRUCTURES
- A simple and efficient architecture for trainable activation functions
- (2019) Andrea Apicella et al. NEUROCOMPUTING
- Identification of physical nonlinearities of a hybrid aeroelastic–pressure balance
- (2019) Zengshun Chen et al. NONLINEAR DYNAMICS
- Optimization of RANS turbulence models using genetic algorithms to improve the prediction of wind pressure coefficients on low-rise buildings
- (2019) Juan M. Gimenez et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Knowledge-enhanced deep learning for simulation of tropical cyclone boundary-layer winds
- (2019) Reda Snaiki et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Low-rise gable roof buildings pressure prediction using deep neural networks
- (2019) Jianqiao Tian et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Modelling unsteady self-excited wind force on slender prisms in a turbulent flow
- (2019) Zengshun Chen et al. ENGINEERING STRUCTURES
- Modelling nonlinear aerodynamic damping during transverse aerodynamic instabilities for slender rectangular prisms with typical side ratios
- (2019) Guangzhong Gao et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Prediction of wind pressure coefficients on building surfaces using artificial neural networks
- (2018) Facundo Bre et al. ENERGY AND BUILDINGS
- Short-term Wind Speed Forecasting via Stacked Extreme Learning Machine With Generalized Correntropy
- (2018) Xiong Luo et al. IEEE Transactions on Industrial Informatics
- Correlation-Constrained and Sparsity-Controlled Vector Autoregressive Model for Spatio-Temporal Wind Power Forecasting
- (2018) Yongning Zhao et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- A new modeling approach for transversely oscillating square-section cylinders
- (2018) Y.Z. Liu et al. JOURNAL OF FLUIDS AND STRUCTURES
- Experimental study of aerodynamic damping of a twisted supertall building
- (2018) Wonsul Kim et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Improved expression for across-wind aerodynamic damping ratios of super high-rise buildings
- (2018) Lei Wang et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Aerodynamic damping model in vortex-induced vibrations for wind engineering applications
- (2018) Francesca Lupi et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Aerodynamic damping of inclined slender prisms
- (2018) Zeng-shun Chen et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Data-driven modeling of vortex-induced vibration of a long-span suspension bridge using decision tree learning and support vector regression
- (2018) Shanwu Li et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- The effect of angle of attack on flow-induced vibration of low-side-ratio rectangular cylinders
- (2018) Tommaso Massai et al. JOURNAL OF FLUIDS AND STRUCTURES
- Deep learning of vortex-induced vibrations
- (2018) Maziar Raissi et al. JOURNAL OF FLUID MECHANICS
- Deep learning for universal linear embeddings of nonlinear dynamics
- (2018) Bethany Lusch et al. Nature Communications
- Energy harvesting from galloping of prisms: A wind tunnel experiment
- (2017) Pascal Hémon et al. JOURNAL OF FLUIDS AND STRUCTURES
- Unsteady pressure measurements on an oscillating slender prism using a forced vibration technique
- (2017) Zeng-shun Chen et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Prediction of wind loads on high-rise building using a BP neural network combined with POD
- (2017) Huang Dongmei et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Experimental and theoretical investigation of galloping of transversely inclined slender prisms
- (2017) Zeng-shun Chen et al. NONLINEAR DYNAMICS
- VIV–galloping instability of rectangular cylinders: Review and new experiments
- (2014) C. Mannini et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Experimental investigation on VIV-galloping interaction of a rectangular 3:2 cylinder
- (2014) Claudio Mannini et al. MECCANICA
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started