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The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook
This narrative review paper explores the diverse applications of artificial intelligence (AI) in
the field of dam engineering. Authored by research engineers specializing in civil …
the field of dam engineering. Authored by research engineers specializing in civil …
Cascade ensemble learning for multi-level reliability evaluation
For complex systems involving multiple operating conditions and multiple failure modes, its
reliability analysis usually presents the cascade failure correlation between multiple levels …
reliability analysis usually presents the cascade failure correlation between multiple levels …
An integrated surrogate model-driven and improved termite life cycle optimizer for damage identification in dams
Abstract Structural Damage Identification (SDI) is a crucial branch in the field of structural
health monitoring, providing an essential support for the safe operation of structures. In this …
health monitoring, providing an essential support for the safe operation of structures. In this …
Multi-parameter identification of concrete dam using polynomial chaos expansion and slime mould algorithm
This paper presents a novel methodology that combines polynomial chaos expansion and
slime mould algorithm for multi-parameter identification of concrete dams. This methodology …
slime mould algorithm for multi-parameter identification of concrete dams. This methodology …
Develo** data-driven surrogate models for holistic performance-based assessment of mid-rise RC frame buildings at early design
This paper presents a framework to develop generalizable surrogate models to predict
seismic vulnerability and environmental impacts of a class of buildings at a particular …
seismic vulnerability and environmental impacts of a class of buildings at a particular …
[HTML][HTML] An explainable artificial-intelligence-aided safety factor prediction of road embankments
Despite the widespread application of data-centric techniques in Geotechnical Engineering,
there is a rising need for building trust in the artificial intelligence (AI)-driven safety …
there is a rising need for building trust in the artificial intelligence (AI)-driven safety …
A surrogate-assisted stochastic optimization inversion algorithm: Parameter identification of dams
Dynamic monitoring data plays an essential role in the structural health monitoring of dams.
This study presents a surrogate-assisted stochastic optimization inversion (SASOI) …
This study presents a surrogate-assisted stochastic optimization inversion (SASOI) …
Accurate discharge coefficient prediction of streamlined weirs by coupling linear regression and deep convolutional gated recurrent unit
Streamlined weirs, which are a nature-inspired type of weir, have gained tremendous
attention among hydraulic engineers, mainly owing to their established performance with …
attention among hydraulic engineers, mainly owing to their established performance with …
An automated machine-learning-assisted stochastic-fuzzy multi-criteria decision making tool: Addressing record-to-record variability in seismic design
While uncertainty quantification (UQ) has served a prominent role in ensuring the safety of
dynamical engineering systems, the lack of an integrated approach to handle the aleatory …
dynamical engineering systems, the lack of an integrated approach to handle the aleatory …
An uncertainty-aware dynamic shape optimization framework: Gravity dam design
Uncertainties such as material randomness, manufacturing anomalies, and external loading
play an important role in the design of engineering structures. Therefore, reliability-based …
play an important role in the design of engineering structures. Therefore, reliability-based …