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Machine learning for structural engineering: A state-of-the-art review
HT Thai - Structures, 2022 - Elsevier
Abstract Machine learning (ML) has become the most successful branch of artificial
intelligence (AI). It provides a unique opportunity to make structural engineering more …
intelligence (AI). It provides a unique opportunity to make structural engineering more …
State-of-the-art AI-based computational analysis in civil engineering
C Wang, L Song, Z Yuan, J Fan - Journal of Industrial Information …, 2023 - Elsevier
With the informatization of the building and infrastructure industry, conventional analysis
methods are gradually proving inadequate in meeting the demands of the new era, such as …
methods are gradually proving inadequate in meeting the demands of the new era, such as …
Capacity prediction of cold-formed stainless steel tubular columns using machine learning methods
Current methods of designing cold-formed stainless-steel tubular columns provide a series
of design formulae for columns to adapt to various grades of materials and failure modes. In …
of design formulae for columns to adapt to various grades of materials and failure modes. In …
Load-carrying capacity of locally corroded steel plate girder ends using artificial neural network
In aged steel bridges, an area of local damage may be created in girders nearby the bearing
region due to corrosion. The existence of local corrosion damage in the plate girder end can …
region due to corrosion. The existence of local corrosion damage in the plate girder end can …
Neural networks for predicting shear strength of CFS channels with slotted webs
VV Degtyarev - Journal of Constructional Steel Research, 2021 - Elsevier
Cold-formed steel channels are made with staggered courses of slots for reduced thermal
conductivity and improved energy efficiency of cold-formed steel buildings. The reduced …
conductivity and improved energy efficiency of cold-formed steel buildings. The reduced …
Artificial neural network prediction of buckling load of thin cylindrical shells under axial compression
P Mandal - Engineering Structures, 2017 - Elsevier
Thin-walled circular cylindrical shells under axial compression are prone to buckling; the
reduction of buckling load from the theoretical estimation is considered primarily due to …
reduction of buckling load from the theoretical estimation is considered primarily due to …
[HTML][HTML] Machine learning models for the elastic-critical buckling moment of sinusoidal corrugated web beam
The torsional stiffness of I-beams with sinusoidal corrugated web is higher than that of flat
web beams and the accuracy of the available hand-calculation methods to determine the …
web beams and the accuracy of the available hand-calculation methods to determine the …
A review of prediction methods for global buckling critical loads of pultruded FRP struts
H Zhang, F Li - Composite Structures, 2024 - Elsevier
Pultruded fiber-reinforced composites (FRP) are widely used in structural engineering due to
their excellent properties along the fiber direction. Its global buckling performance has …
their excellent properties along the fiber direction. Its global buckling performance has …
Buckling critical load prediction of pultruded fiber-reinforced polymer columns and feature analysis by machine learning
H Zhang, D Li, F Li - Advances in Structural Engineering, 2024 - journals.sagepub.com
For slender FRP columns, predicting the global buckling critical loads is crucial in structural
design. However, there is a lack of a consensus prediction method based on specialized …
design. However, there is a lack of a consensus prediction method based on specialized …
Reliability consistent knockdown factors for truncated conical shells via artificial neural network (ANN) based predictions and meta-modelling
Utility of conical shells ranges from aerospace launch vehicles to atomic force microscopy.
Thin-walled conical shells are susceptible to buckling under axial compression. Due to …
Thin-walled conical shells are susceptible to buckling under axial compression. Due to …