A novel machine learning method to investigate the web crippling behaviour of perforated roll-formed aluminium alloy unlipped channels under interior-two flange …
This study presents a novel machine-learning model using the eXtreme Gradient Boosting
(XGBoost) tool, for assessing the web crippling behaviour of perforated roll-formed …
(XGBoost) tool, for assessing the web crippling behaviour of perforated roll-formed …
Web crippling investigation of perforated aluminium lipped channels under interior-two-flange loading condition
Roll-formed aluminium members fabricated using 5052-H36 aluminium alloy grade have
been recently employed as structural members in construction. Their web crippling …
been recently employed as structural members in construction. Their web crippling …
Optimal design of cold-formed steel face-to-face built-up columns through deep belief network and genetic algorithm
In this paper, a machine-learning optimisation framework for cold-formed steel (CFS) face-to-
face built-up columns was proposed using Deep Belief Network (DBN) and Genetic …
face built-up columns was proposed using Deep Belief Network (DBN) and Genetic …
Bonobo optimizer algorithm for optimum design of truss structures with static constraints
In this study, a very recently developed intelligent algorithm called Bonobo Optimizer (BO)
algorithm is implemented for the sizing optimization of the truss structures with discrete and …
algorithm is implemented for the sizing optimization of the truss structures with discrete and …
Optimizing the material and printing parameters of the additively manufactured fiber-reinforced polymer composites using an artificial neural network model and …
W Alhaddad, M He, Y Halabi, KYM Almajhali - Structures, 2022 - Elsevier
Fiber-reinforced polymer composite (FRP) has always been attracting the attention of
researchers due to its multiple applications as a primary material for manufacturing structural …
researchers due to its multiple applications as a primary material for manufacturing structural …
Assessment of end-two-flange web crippling strength of roll-formed aluminium alloy perforated channels by experimental testing, numerical simulation, and deep …
This work presents a deep-learning model referred to as a deep belief network (DBN) to
investigate the end-two-flange (ETF) web crippling behaviour of roll-formed aluminium alloy …
investigate the end-two-flange (ETF) web crippling behaviour of roll-formed aluminium alloy …
Bond prediction of stainless-steel reinforcement using artificial neural networks
M Rabi - Proceedings of the Institution of Civil Engineers …, 2023 - icevirtuallibrary.com
Stainless-steel reinforcement has become increasingly popular in the construction industry
in recent years, mainly due to its distinctive characteristics and excellent mechanical …
in recent years, mainly due to its distinctive characteristics and excellent mechanical …
Experimental and numerical study of a novel cold-formed steel T-Stub connection subjected to tension force
Cold-formed steel (CFS) is a popular form of construction in New Zealand and the
developed world because it can be cost-effective, durable, sustainable, resilient to extreme …
developed world because it can be cost-effective, durable, sustainable, resilient to extreme …
Prediction of aerodynamic forces at the tip of the compressor blades based on multi-scale 1DCNN combined with CBAM
M Yao, S Wu, Y Niu, Q Wu, R Song, B Bai - Thin-Walled Structures, 2024 - Elsevier
The compressor is a crucial component of aircraft engines, and the blades are the critical
factor affecting the performance of the compressor. Based on multi-scale one-dimensional …
factor affecting the performance of the compressor. Based on multi-scale one-dimensional …
Auxetic pattern design for concentric-tube robots using an active DNN-metaheuristics optimization
We optimized the design parameters of three auxetic patterns to minimize the bending
stiffness-to-torsional stiffness ratios (EI/GJ) in concentric-tube robots while maintaining …
stiffness-to-torsional stiffness ratios (EI/GJ) in concentric-tube robots while maintaining …