Experimental study of earthquake-resilient high ductility prefabricated opening-web steel channel beam-column joint

Jiang, Zhengqiang; Niu, Zi-yao; Cheng, Kai; Yan, Tian; Zhang, Ailin

doi:10.1016/j.jobe.2022.104041

Cited by 4 publications

(2 citation statements)

References 20 publications

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“…In recent years, there has been a substantial increase in the utilization of prefabricated steel structural construction and steel component consumption, indicating the inevitable advancement of prefabricated steel structures (Jiang et al, 2022;Navaratnam et al, 2022;. This trend is driven by the increasing demand for sustainable development in the construction industry, bolstered by policies advocating for energy efficiency, environmental protection, and green building practices (X.…”

Section: Introductionmentioning

confidence: 99%

Quality Risk Assessment of Prefabricated Steel Structural Components during Production Using Fuzzy Bayesian Networks: A Case Study in China

Zhong,

Peng

2024

Preprint

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This study aims to address quality issues in the production of prefabricated steel structural components for buildings by investigating challenges in quality risk assessment. It identifies key factors contributing to quality problems and establishes an evaluation index system. Traditional methods encounter limitations in handling uncertainty and conducting quantitative analysis. Therefore, the fuzzy Bayesian network (FBN) theory is utilized to perform probabilistic analysis on quality risks during the production phase. This research achieves a more accurate and dynamic risk assessment by integrating the strengths of fuzzy logic and Bayesian networks (BNs) and by utilizing expert knowledge, the similarity aggregation method (SAM), and the noisy-OR gate model. The study reveals that factors such as the "low professional level of designers," "poor production refinement," and "poor storage conditions for finished products" have a significant impact on quality risks. This research offers a novel risk assessment tool for steel structural component production, effectively assisting enterprises in identifying potential risks, formulating risk reduction strategies, and enhancing production quality.

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Section: Introductionmentioning

confidence: 99%

Quality Risk Assessment of Prefabricated Steel Structural Components during Production Using Fuzzy Bayesian Networks: A Case Study in China

Zhong,

Peng

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…In recent years, there has been a substantial increase in the utilization of prefabricated steel structural construction and steel component consumption, indicating the inevitable advancement of prefabricated steel structures [1,2]. This trend is driven by the increasing demand for sustainable development in the construction industry, bolstered by policies advocating for energy efficiency, environmental protection, and green building practices [3].…”

Section: Introductionmentioning

confidence: 99%

Quality Risk Assessment of Prefabricated Steel Structural Components during Production Using Fuzzy Bayesian Networks

Zhong,

Peng

2024

Buildings

View full text Add to dashboard Cite

This study aims to address quality issues in the production of prefabricated steel structural components for buildings by investigating challenges in quality risk assessment. It identifies key factors contributing to quality problems and establishes an evaluation index system. Traditional methods encounter limitations in handling uncertainty and conducting quantitative analysis. Therefore, the fuzzy Bayesian network (FBN) theory is utilized to perform a probabilistic analysis of quality risks during the production phase. This research achieves a more accurate and dynamic risk assessment by integrating the strengths of fuzzy logic and Bayesian networks (BNs) and by utilizing expert knowledge, the similarity aggregation method (SAM), and the noisy-OR gate model. The study reveals that factors such as the “low professional level of designers”, “poor production refinement”, and “poor storage conditions for finished products” have a significant impact on quality risks. This study offers a scientific risk assessment tool designed to address the quality control challenges commonly experienced in the manufacturing of steel structural components. Identifying the critical risk factors that influence quality empowers actual production enterprises to develop risk management strategies and improvement measures in a more focused manner, thereby facilitating more effective resource allocation and risk prevention and control. Consequently, this approach has a significant impact on enhancing the overall production level and quality within the industry.

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Moment-rotation model of double-endplates replaceable beam-column joint

Ma,

Jiang,

et al. 2024

Arch. Civ. Mech. Eng.

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Experimental study of earthquake-resilient high ductility prefabricated opening-web steel channel beam-column joint

Cited by 4 publications

References 20 publications

Quality Risk Assessment of Prefabricated Steel Structural Components during Production Using Fuzzy Bayesian Networks: A Case Study in China

Quality Risk Assessment of Prefabricated Steel Structural Components during Production Using Fuzzy Bayesian Networks: A Case Study in China

Quality Risk Assessment of Prefabricated Steel Structural Components during Production Using Fuzzy Bayesian Networks

Moment-rotation model of double-endplates replaceable beam-column joint

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