Machine learning-based methods in structural reliability analysis: A review
Structural Reliability analysis (SRA) is one of the prominent fields in civil and mechanical
engineering. However, an accurate SRA in most cases deals with complex and costly …
engineering. However, an accurate SRA in most cases deals with complex and costly …
[HTML][HTML] Adaptive approaches in metamodel-based reliability analysis: A review
The present work reviews the implementation of adaptive metamodeling for reliability
analysis with emphasis in four main types of metamodels: response surfaces, polynomial …
analysis with emphasis in four main types of metamodels: response surfaces, polynomial …
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 …
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) …
A unified analysis framework of static and dynamic structural reliabilities based on direct probability integral method
G Chen, D Yang - Mechanical Systems and Signal Processing, 2021 - Elsevier
Generally, the static and dynamic reliabilities of structures are addressed separately in the
existing methods except the computationally expensive stochastic sampling-based …
existing methods except the computationally expensive stochastic sampling-based …
A comparative investigation using machine learning methods for concrete compressive strength estimation
Concrete compressive strength plays an important role in determining the mechanical
properties of concrete. The determination of concrete compressive strength requires lengthy …
properties of concrete. The determination of concrete compressive strength requires lengthy …
The prediction of fire performance of concrete-filled steel tubes (CFST) using artificial neural network
Search for enhancing the efficiency has led to composite structures such as concrete-filled
steel tubes (CFST) with increasing applications across the world. The fire performance of …
steel tubes (CFST) with increasing applications across the world. The fire performance of …
Data-driven modeling of mechanical properties of fiber-reinforced concrete: a critical review
Fiber-reinforced concrete (FRC) is extensively used in diverse structural engineering
applications, and its mechanical properties are crucial for designing and evaluating its …
applications, and its mechanical properties are crucial for designing and evaluating its …
Structural dynamic reliability analysis: review and prospects
D Teng, YW Feng, JY Chen, C Lu - International Journal of Structural …, 2022 - emerald.com
Purpose The purpose of this paper is to briefly summarize and review the theories and
methods of complex structures' dynamic reliability. Complex structures are usually …
methods of complex structures' dynamic reliability. Complex structures are usually …
[HTML][HTML] Effect of inclusion of natural pozzolan and silica fume in cement-based mortars on the compressive strength utilizing artificial neural networks and support …
This study illustrates the effect of incorporating natural pozzolan (NP) and silica fume (SF) in
cement-based mortars on the compressive strength. Up to 40% of the weight of cement in …
cement-based mortars on the compressive strength. Up to 40% of the weight of cement in …