International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 05 | May 2024
p-ISSN: 2395-0072
www.irjet.net
Optimizing Structural Performance using Computational Modelling and Parametric Design 1Prerna Singh, Research scholar, 2Prof. Zahid khan
------------------------------------------------------------------***--------------------------------------------------------------------Abstract: This research explores the integration of computational modelling and parametric design methodologies to optimize structural performance in various engineering applications. In today's complex design landscape, the need for efficient and effective optimization techniques is paramount to meet the growing demands for sustainable, resilient, and cost-effective structures. Computational modelling offers a powerful toolset for simulating and analyzing the behavior of structures under different conditions, while parametric design enables the exploration of a wide range of design alternatives and the systematic refinement of solutions based on predefined performance criteria. Through an extensive literature review, this study examines the historical evolution and current state-of-the-art practices in structural optimization, computational modelling, and parametric design. The methodology section outlines the process of integrating these methodologies to optimize structural performance, emphasizing the selection of appropriate software tools, the formulation of design objectives, and the generation of parametric models. The research presents a series of case studies demonstrating the application of computational modelling and parametric design to optimize structural performance in diverse contexts, including building design, bridge engineering, and aerospace engineering. Discussion of the findings explores the implications of this research for the broader field of structural engineering, emphasizing the potential for computational modelling and parametric design to revolutionize the design process and enable the creation of innovative, high-performance structures. The conclusion summarizes the key insights gained from the study and outlines recommendations for future research directions, aiming to inspire further exploration and adoption of these advanced methodologies in practice. Keywords: Parametric Design, Engineering Applications, Performance Criteria, Computational Modelling and Structural Performance Optimization
1. Introduction: In the realm of engineering, the optimization of structural performance serves as a cornerstone for the development of resilient, efficient, and sustainable structures [1]. Whether in the construction of buildings, bridges, or aircraft, the quest for structures that can withstand diverse environmental conditions while minimizing material usage and cost remains a fundamental pursuit [1, 3]. In this context, the integration of computational modelling and parametric design emerges as a promising avenue for achieving these objectives with unprecedented precision and efficiency [2]. Structural engineering encompasses a wide array of disciplines, each tasked with the challenge of designing and constructing safe and functional structures. However, as societal demands evolve and environmental considerations become increasingly prominent, the imperative for optimizing structural performance becomes even more critical [3]. Structures must not only meet stringent safety standards but also demonstrate resilience in the face of natural disasters, sustainability in resource utilization, and efficiency in operation. By optimizing structural performance, engineers can address these multifaceted requirements and contribute to the creation of a built environment that is both durable and sustainable [4]. The advent of computational modelling has revolutionized the field of structural engineering, enabling engineers to simulate and analyze the behavior of complex structures with unprecedented accuracy and efficiency [4, 5 & 6]. By leveraging computational tools and algorithms, engineers can predict how structures will respond to various loads, optimize their designs, and explore innovative solutions that would be impractical or impossible with traditional methods alone [3, 4]. Concurrently, parametric design methodologies have emerged as a powerful tool for generating and manipulating design variations based on a set of predefined parameters [5]. By linking computational models with
© 2024, IRJET
|
Impact Factor value: 8.226
|
ISO 9001:2008 Certified Journal
|
Page 239