Parametric Design in Structural Engineering: A Systematic Review of Current Practices and Future Trends

Abstract

Girmay Mengesha Azanaw*

Parametric design has emerged as a transformative approach in structural engineering, leveraging advanced computational methods to enable the efficient exploration of complex design spaces and to optimize structural performance. This systematic review synthesizes recent developments in parametric design, focusing on current practices, software integrations, and the evolving methodologies that underpin modern structural engineering. Through a comprehensive analysis of literature from 2010 to 2025, this review identifies key trends, including the integration of Building Information Modeling (BIM) with parametric tools, the adoption of optimization algorithms, and the increasing incorporation of machine learning techniques. It also examines practical applications through case studies, highlighting successes and limitations in both academic research and industrial implementations. The review further discusses critical challenges such as computational complexity, design uncertainty, and regulatory constraints that currently impede broader adoption. In addressing these issues, the article outlines potential pathways for future research, including the enhancement of real-time simulation capabilities, the development of user-friendly and collaborative cloud-based platforms, and the establishment of standardized best practices. By consolidating insights from diverse sources, this review provides a comprehensive resource that not only maps the current landscape of parametric design in structural engineering but also offers strategic directions for future innovations aimed at achieving sustainable, resilient, and efficient structural solutions.

HTML PDF