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Soft Computing and Machine Learning in Dam Engineering

“Soft Computing and Machine Learning in Dam Engineering” is a comprehensive, edited Special Issue that explores the latest advances in the application of soft computing and machine learning techniques to dam engineering. This reprint covers a range of topics, including dam design, construction, moni...

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Guardat en:
Format: Online
Idioma:anglès
Publicat: MDPI - Multidisciplinary Digital Publishing Institute 2023
Matèries:
dams
Polynomial Chaos Expansion
random fields
random forest
vibration analysis
gravity dams
safety assessment
probabilistic analysis
parameter uncertainty
sample optimization
variance-based sensitivity analysis
sensitivity analysis
polynomial chaos expansion
uncertainty
deep neural networks
rockfill dams
anomaly detection
machine learning
support vector machines
one-class classification
concrete dam
machine learning methods
structural behaviour
model validation
ice loads
concrete dams
back-calculation
dam safety
monitoring
arch dams
seismic safety
endurance time analysis
non-linear seismic analysis
concrete damage model
tensile and compressive damage
design variable
finite element
feasibility design
surrogate
AutoML
roller compacted concrete (RCC)
risk-informed design
Cascadia subduction zone (CSZ)
non-linear structural analysis
multilayer perceptron neural network model
structural health monitoring
threshold definition
moving average of the residuals
moving standard deviation of the residuals
DBSCAN
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Accés en línia:ONIX_20230623_9783036575797_35
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