Comparison of The Effectiveness of Various Types of Connections (Rigid, Hinged, Semi-Rigid) In Steel Systems, Depending on The Height and Span of The Building
Abstract
The article is dedicated to the comparative evaluation of rigid, hinged, and semi-rigid beam-to-column connections in steel frame systems, depending on building height and span. The relevance of the study is determined by the increasing demand for optimized structural solutions that ensure stability, seismic resistance,e and economic efficiency in multi-storey steel construction. Scientific novelty lies in the system-level comparison of connection typologies through stiffness normalization and deformation sensitivity thresholds rather than isolated strength assessment. The work describes the influence of fixity-factor variation on column resistance and drift amplification and studies the transition of governing structural mechanisms from strength-dominated to deformation-controlled behavior. Special attention is paid to stiffness deviation tolerance and its impact on multi-storey sway frames. The aim of the study is to establish quantitative stiffness and deformation thresholds that define rational application domains for rigid, semi-rigid, and hinged connections in steel frame systems. Comparative analysis, source synthesis, and analytical evaluation methods are used to solve this problem. The conclusion describes structural thresholds that redefine connection selection as a system-level optimization task. The article will be useful for structural engineers, designers, and researchers in steel construction.
Keywords
References
Similar Articles
- Prof. Kavita Menon, An In-Depth Review of Recent Advances in Cables and Towed Objects for Ocean Engineering Towing Systems , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 08 (2025): Volume 02 Issue 08
- Simone Marquez-Rodriguez, Artificial Intelligence-Driven Predictive Risk Analytics and Automation in Construction Project Management: Integrating Machine Learning, Computer Vision, And Data Intelligence for Safer and More Efficient Infrastructure Development , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 12 (2025): Volume 02 Issue 12
- Sneha Reddy, Optimizing Complex Processing Ecosystems using Event-Centric Approaches for Enhanced Durability , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 04 (2025): Volume 02 Issue 04
- Andras Varga, A Socio-Technical Framework for Error Budget–Driven Reliability Governance in Cloud-Native and Edge-Integrated Distributed Systems , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Alejandro M. Cortés, A Profit-Oriented and Machine Learning–Driven Framework for Advancing Credit Risk Prediction in Modern Financial Systems , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 09 (2025): Volume 02 Issue 09
- Dr. Mateo Alvarez, INTEGRATED ENVIRONMENTAL IMPACT AND PREDICTIVE ANALYTICS FRAMEWORK FOR OFFSHORE DRILLING DISCHARGES AND BENTHIC ECOSYSTEM INTEGRITY , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 02 (2026): Volume 03 Issue 02
- Dr. Elena V. Markovic, Dr. Omar N. Haddad, Integrated Predictive Intelligence for Critical Decision Systems: A Comparative Research Framework Linking Machine Learning in Residential Energy Management and Disease Risk Prediction , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 03 (2026): Volume 03 Issue 03
- Dr. Emily Chen, Improving Economic Results by Implementing Structured Administrative Governance , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 11 (2025): Volume 02 Issue 11
- Dr. Adrian Keller, Queuing-Integrated Deep Reinforcement Learning For Adaptive Task Scheduling In Cloud Data Centers , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Evan Richman, Advanced Evolutionary Optimization and Intelligent Sensor Integration for Electromagnetic Compatibility and Signal Integrity in Autonomous Vehicle Architectures , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
You may also start an advanced similarity search for this article.