CLOUD BASED STRUCTURAL DESIGN SOFTWARE WITH BILT-IN AI COPILOT: A CONCEPT

Abstract

The shortcomings of traditional desktop-based structural design software have been brought to light by the expanding complexity of structural systems and the increasing need for quicker, more precise, and collaborative design procedures. By facilitating scalable computation and intelligent decision assistance, recent developments in artificial intelligence and cloud computing present fresh chances to overcome these obstacles. A theoretical and conceptual framework for a cloud-based structural design program with an integrated AI copilot is presented in this paper. The suggested solution uses an AI copilot to offer real-time code compliance checks, mistake detection, design optimization suggestions, and conversational support while utilizing cloud infrastructure for high-performance structural analysis and design. System performance, design accuracy, and user productivity are assessed using a design science-based methodology backed by benchmark scenarios and simulated structural models. Significant gains in computing efficiency, less design flaws, improved adherence to design standards, and more efficient engineering workflows are all shown by the fictitious outcomes. The results show the conceptual viability and potential revolutionary influence of AI-augmented cloud platforms in promoting intelligent, cooperative, and effective structural engineering methods, even though empirical validation is outside the purview of this study.