Analysis of scour depth in the case of parallel bridges using HEC-RAS
Scour is now one of the main problems for river as well as for coastline engineering. Bridges
are the vital structures which must be designed to prevent failure against the effects of scour …
are the vital structures which must be designed to prevent failure against the effects of scour …
Optimum support vector regression for discharge coefficient of modified side weirs prediction
AH Zaji, H Bonakdari - INAE Letters, 2017 - Springer
Designing procedure of economical and safe side weirs that are used in various hydraulic
structures such as intakes and deviation systems, essentially needs the ability to predict the …
structures such as intakes and deviation systems, essentially needs the ability to predict the …
Forecasting of time-dependent scour depth based on bagging and boosting machine learning approaches
Forecasting the time-dependent scour depth (dst) is very important for the protection of
bridge structures. Since scour is the result of a complicated interaction between structure …
bridge structures. Since scour is the result of a complicated interaction between structure …
Scour depth prediction for Asa Dam Bridge, Ilorin, using artificial neural network
Bridge Scour is the localized loss of the geomaterials around the foundation of a bridge as a
result of the movement of water around it. Scour is a great risk to the stability of a bridge's …
result of the movement of water around it. Scour is a great risk to the stability of a bridge's …
Gaussian process-based particle-filtering approach for real-time damage prediction with application
RK Neerukatti, MY Fard… - Journal of Aerospace …, 2017 - ascelibrary.org
A prognostic model capable of predicting temporal damage evolution is essential to prevent
catastrophic failure of structures. Data driven techniques, such as neural networks and …
catastrophic failure of structures. Data driven techniques, such as neural networks and …
Estimation of scour depth of piers in hydraulic structures using gaussian process Regression
A Rezazadeh Joudi, M Sattari - Irrigation and Drainage Structures …, 2016 - idser.areeo.ac.ir
The stability of bridge piers on rivers or in wide and deep irrigation channels is a major
concern for hydraulic structural engineers. Despite development of several empirical …
concern for hydraulic structural engineers. Despite development of several empirical …
[图书][B] Systems Health Management and Prognosis using Physics Based Modeling and Machine Learning
RK Neerukatti - 2016 - search.proquest.com
There is a concerted effort in developing robust systems health monitoring/management
(SHM) technology as a means to reduce the life cycle costs, improve availability, extend life …
(SHM) technology as a means to reduce the life cycle costs, improve availability, extend life …