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<p>In this paper, we describe a new decision-support tool for preliminary cable selection for Stress Ribbon Bridges (SRBs) using a form of multi-objective optimization called MOORA (Multi-Objective Optimization on the Basis of Ratio Analysis), a multi-criteria decision making (MCDM) framework. SRBs differ from other bridge types in that they have a prestressed concrete deck with an initial sagging profile, and the load is transferred via tension. Their design trade-offs are complicated &amp; non-linear as it relates to structural performance, serviceability, and material economy; and so early-stage designs following conventional methodology are typically iterative in nature, relying on the experience or intuition of the designer that may not be readily apparent or repeatable in a transparent manner. The developed Python-based tool for preliminary cable selection for SRBs aids designers by determining design alternatives automatically and comprehensively within individually user-defined base input parameters, and provides a set of defined arbitrary cost-benefit ratios. The examples defined in the current study included all of the required and adjustable parameters, such as sag-to-span ratios, cable tension, cable utilization, lateral slope, and natural frequency. The decision tool allows for a simple selection of penalty functions that can be defined uniquely for a project and integrated with user-defined limits. The decision tool generates summary ranked tables, plots of cable profiles, and performance contours based on the MOORA criteria, which will help designers interpret results visually and enable them to make informed design decisions.</p>

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MOORA-based optimisation of cable configurations in stress ribbon bridges

  • 期刊论文

  • 发表日期：

    2026年5月20日

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  • Vijaykumar Parmar,
  • K. B. Parikh

摘要

In this paper, we describe a new decision-support tool for preliminary cable selection for Stress Ribbon Bridges (SRBs) using a form of multi-objective optimization called MOORA (Multi-Objective Optimization on the Basis of Ratio Analysis), a multi-criteria decision making (MCDM) framework. SRBs differ from other bridge types in that they have a prestressed concrete deck with an initial sagging profile, and the load is transferred via tension. Their design trade-offs are complicated & non-linear as it relates to structural performance, serviceability, and material economy; and so early-stage designs following conventional methodology are typically iterative in nature, relying on the experience or intuition of the designer that may not be readily apparent or repeatable in a transparent manner. The developed Python-based tool for preliminary cable selection for SRBs aids designers by determining design alternatives automatically and comprehensively within individually user-defined base input parameters, and provides a set of defined arbitrary cost-benefit ratios. The examples defined in the current study included all of the required and adjustable parameters, such as sag-to-span ratios, cable tension, cable utilization, lateral slope, and natural frequency. The decision tool allows for a simple selection of penalty functions that can be defined uniquely for a project and integrated with user-defined limits. The decision tool generates summary ranked tables, plots of cable profiles, and performance contours based on the MOORA criteria, which will help designers interpret results visually and enable them to make informed design decisions.