[HTML][HTML] Behaviour and design of duplex stainless steel bolted connections failing in block shear

Y Song, XM Lin, MCH Yam, K Ke, J Wang - Engineering Structures, 2024 - Elsevier
Duplex stainless steel (DSS) is an emerging construction material for structural engineering,
which is featured with high mechanical strength and superior corrosion resistance …

[HTML][HTML] Unified machine-learning-based design method for normal and high strength steel I-section beam–columns

A Su, J Cheng, X Li, Y Zhong, S Li, O Zhao… - Thin-Walled Structures, 2024 - Elsevier
High strength steel is regarded as a promising construction material due to its superior
mechanical properties. However, the codified failure load predictions for high strength steel …

Testing of wire arc additively manufactured duplex stainless steel double-lap shear bolted connections

W Zuo, MT Chen, O Zhao, L Gardner - Journal of Structural …, 2025 - ascelibrary.org
The behavior and design of duplex stainless steel double-lap shear bolted connections
produced by wire arc additive manufacturing (WAAM) are explored in this paper. A thorough …

Unified machine-learning-aided design of cold-formed steel channel section columns with different buckling modes at ambient and elevated temperatures

X Huang, K Jiang, O Zhao - Engineering Structures, 2024 - Elsevier
Due to the ease of fabrication, cold-formed steel channel section members have gained
popularity in the construction industry. However, the open and non-doubly symmetric …

Machine-learning-assisted design of high strength steel I-section columns

J Cheng, X Li, K Jiang, S Li, A Su, O Zhao - Engineering Structures, 2024 - Elsevier
High strength steel has been attracting attention in the building industry due to its superior
mechanical properties. The accurate design of high strength steel structures is crucial to …

Data-driven design approaches for hollow section columns—Database analysis and implementation

H Koh, HB Blum - Journal of Constructional Steel Research, 2025 - Elsevier
Structural engineering has a plethora of existing data from previous experiments and
computational modeling results, yet the benefits of employing data methods in structural …

Estimation and interpretation of interfacial bond in concrete-filled steel tube by using optimized XGBoost and SHAP

H Sheng, Z Ren, D Wang, Q Li, P Li - Structures, 2024 - Elsevier
In view of the difficulty in establishing an accurate mathematical model to characterize the
interfacial bond strength in concrete-filled steel tube (CFST), the'eXtreme Gradient …

Load-equivalent model and loosening life prediction method of bolts under transverse loading

L Yang, H Zhao, G Yang, B Yang, S Xiao, S Jiang - Engineering Structures, 2024 - Elsevier
To establish a method for predicting the loosening life of bolts under random transverse
vibration, this study first obtains the transverse displacement–loosening life (D–NL) curves of …

[HTML][HTML] Bayesian optimization-based Model-Agnostic Meta-Learning: Application to predict maximum cyclic moment resistance of steel bolted T-stub connections

Y Shen, M Li, Y Li - Thin-Walled Structures, 2024 - Elsevier
Accurately assessing the maximum moment resistance of steel bolted T-stub connections
under cyclic loading is crucial for designing earthquake-resistant structures with such …

[HTML][HTML] Application and feasibility analysis of knowledge-based machine learning in predicting fatigue performance of stainless steel

J Wang, D Fan, CS Cai - Case Studies in Construction Materials, 2024 - Elsevier
To better predict the fatigue-related SN curves of different series of stainless steels, 570 sets
of data including fatigue test results and other performance parameters for five common …