Shear capacity of additive-manufactured stainless-steel single-lap bolted connections

Zhengyi Kong, Ningning Hu, Ya Jin, Kun Xing, Qinglin Tao, George Vasdravellis, Duc Kien Thai and Quang-Viet Vu

Abstract

Advancements in additive manufacturing technology, notably for its efficiency, accuracy, automation, and streamlined procedures, are increasingly relevant in civil engineering. This study evaluates the mechanical properties of 316L stainless steel bolted connections fabricated using Powder Bed Fusion (PBF) additive manufacturing. Eleven single-lap bolted connection specimens were tested under monotonic loading to assess the influence of various factors, including plate thickness, manufacturing direction, bolt end and edge distances, and bolt quantity, on the connections' anti-sliding and shear capacities. Material tests conducted prior to the connection tests revealed that PBF-manufactured stainless steel plates possess higher yield and ultimate strength, as well as greater elongation capacity, compared to traditional stainless steel plates. The connection tests indicated that the anti-sliding coefficient values range from 0.348 to 0.698, aligning with current standards for stainless steel bolted connections. Three distinct failure modes were identified: net section failure in the stainless-steel plate, bolt shear failure, and plate shear failure. It was determined that existing standards for anti-sliding capacity may not be entirely applicable to PBFmanufactured connections. Therefore, a modified model for the anti-sliding capacity of these connections is proposed. Additionally, a more accurate formula for calculating their shear capacity, which addresses the oversight of friction forces in current standards, is introduced.

Key Words

additive manufacturing; stainless steel bolted connections; anti-sliding coefficient; anti-sliding capacity; shear capacity

Address

Zhengyi Kong:1)Department of Civil Engineering, Anhui University of Technology, China 2)Institute for Sustainable Built Environment, Heriot-Watt University, United Kingdom Ningning Hu:Department of Civil Engineering, Anhui University of Technology, China Ya Jin:Department of Civil Engineering, Anhui University of Technology, China Kun Xing:1)Department of Civil Engineering, Anhui University of Technology, China 2)Key Laboratory of Multidisciplinary Management and Control of Complex Systems of Anhui Higher Education Institute, Anhui University of Technology, China Qinglin Tao:Department of Civil Engineering, Anhui University of Technology, China George Vasdravellis:Institute for Sustainable Built Environment, Heriot-Watt University, United Kingdom Duc Kien Thai:Dept. of Civil and Environmental Engineering, Sejong University, South Korea Quang-Viet Vu:1)Laboratory for Computational Civil Engineering, Institute for Computational Science and Artificial Intelligence, Van Lang University, Ho Chi Minh City, Vietnam 2)Faculty of Civil Engineering, School of Technology, Van Lang University, Ho Chi Minh City, Vietnam

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