A critical review on optimization of cold-formed steel members for better structural and thermal performances

H Liang, K Roy, Z Fang, JBP Lim - Buildings, 2022 - mdpi.com
The construction and building sectors are currently responsible globally for a significant
share of the total energy consumption and energy-related carbon dioxide emissions. The …

A critical review of cold-formed steel seismic resistant systems: Recent developments, challenges and future directions

M Hasanali, K Roy, SM Mojtabaei, I Hajirasouliha… - Thin-Walled …, 2022 - Elsevier
Cold-formed steel (CFS) systems have seen an increased application in the past few
decades, especially in the construction of low-to mid-rise buildings. CFS members offer …

A novel machine learning model to predict the moment capacity of cold-formed steel channel beams with edge-stiffened and un-stiffened web holes

Y Dai, K Roy, Z Fang, B Chen, GM Raftery… - Journal of Building …, 2022 - Elsevier
A novel machine learning model, eXtreme Gradient Boosting (XGBoost), was used for the
purpose of evaluating the moment capacity of cold-formed steel (CFS) channel beams with …

An enhanced PDEM-based framework for reliability analysis of structures considering multiple failure modes and limit states

DC Feng, XY Cao, M Beer - Probabilistic Engineering Mechanics, 2022 - Elsevier
In this paper, an enhanced probability density evolution method (PDEM) framework
considering multiple failure modes and limit states is proposed for reliability analysis of …

Development of affordable steel-framed modular buildings for emergency situations (Covid-19)

P Gatheeshgar, K Poologanathan, S Gunalan, I Shyha… - Structures, 2021 - Elsevier
This paper presents the development of novel affordable steel-framed modular units for
construction with enhanced overall (healthcare, structural, fire, and lightweight) …

Loading capacity prediction and optimization of cold-formed steel built-up section columns based on machine learning methods

L Xiao, QY Li, H Li, Q Ren - Thin-Walled Structures, 2022 - Elsevier
This study aims to improve the loading capacities of cold-formed steel (CFS) built-up section
columns by optimizing cross-sectional geometric dimensions with constant material …

Optimal design of cold-formed steel face-to-face built-up columns through deep belief network and genetic algorithm

Y Dai, Z Fang, K Roy, GM Raftery, JBP Lim - Structures, 2023 - Elsevier
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 …

Optimisation of cold-formed steel beams for best seismic performance in bolted moment connections

SM Mojtabaei, I Hajirasouliha, J Ye - Journal of Constructional Steel …, 2021 - Elsevier
Typical thin-walled cold-formed steel (CFS) elements and connections used in portal frames
are not generally suitable for moment-resisting frames in high seismic regions due to their …

[PDF][PDF] 冷弯薄壁型钢受弯构件承载力与延性优化研究

邓露, 钟玉婷, 杨远亮, 刘艳芝 - 工程力学, 2021 - dengteam.com
该文旨在通过改变冷弯型钢的截面尺寸来提高其承载力和延性. 基于ABAQUS
有限元软件建立已有试验模型, 计算了不同尺寸下的腹板翼缘加劲截面和腹板加劲的折叠翼缘 …

Structural size optimization of single and built-up cold-formed steel beam-column members

SM Mojtabaei, J Becque… - Journal of Structural …, 2021 - ascelibrary.org
The use of cold-formed steel (CFS) elements in residential and industrial buildings is widely
gaining popularity due to their ability to provide cost-effective and sustainable solutions. A …