AI ELECTRICAL CIVIL AND MECHANICAL ENGINEERING

INTEGRATING ETABS WITH BUILDING INFORMATION MODELLING (BIM) FOR INTELLIGENT STRUCTURAL ENGINEERING

Because it allows for integrated workflows between architectural modeling platforms and finite element analysis (FEA) software, Building Information Modeling (BIM) has greatly altered structural engineering practice. The disparities in data representation, analytical model generation, and information communication standards make it very difficult for BIM authoring tools and structural analysis environments to reliably share structural information. This research examines the reliability of BIM-to-FEM transfer procedures using Autodesk Revit and CSI ETABS by systematically evaluating native API-mediated and IFC-based approaches. Through the use of elementbased accuracy measures that took into account columns, beams, slabs, analytical alignments, and nodes, we assessed the structural information exchange in a five-story reinforced concrete residential structure that served as a case study. Although the analytical axes, node connectivity, and slab section characteristics had to be corrected by hand, the native Revit-ETABS process managed to achieve full transfer reliability for main structural members, with 100% accurate interpretation of beams and columns. While the IFC-based process was more dependable when it came to transferring geometric information, it was less accurate when it came to assigning member properties and interpreting slabs. Instead of a totally automated conversion technique, the findings show that BIMto-FEM interoperability is still a somewhat automated process that needs rigorous verification. To lessen the burden of human correction and increase dependability, we offer an integration process based on checkpoints that uses controlled modeling methods, validates models after transfer, and coordinates federated models. The results add to our knowledge of the constraints on BIM and FEM platform compatibility and provide useful recommendations for structural engineering firms using Revit-ETABS-based BIM processes.

Material-Aware BIM-FEA Integration for Performance-Based Assessment of Advanced Construction Materials

Although emerging cementitious and fiber-reinforced composite materials offer enhanced strength and durability, their nonlinear, rate-dependent, and heterogeneous behavior is not consistently transferred into analysis-ready representations in conventional building information modeling–finite-element analysis (BIM-FEA) workflows. This study introduces a material-informed framework that integrates BIM geometry with a Python-assisted (version 3.11) automated building information modeling-finite-element analysis integration engine (ABFIE) coupled to nonlinear ANSYS (version 2025 R1) simulation, enabling direct incorporation of experimentally calibrated constitutive data into finite-element models. Within the validation cases considered here, ABFIE reproduces stiffness degradation, neutral-axis migration, and crack-initiation loads with prediction errors of 5%–9% relative to reported experimental benchmarks while reducing model-preparation time by more than 60% for the benchmark workflow and showing reduced operator-to-operator variation under the tested preprocessing settings. Supplementary ANSYS checks indicate stable mesh behavior across the 50–25-mm benchmark range, with peak-load variation below 3% once the critical-region element size reaches approximately 20–25 mm. These results suggest that a material-aware BIM-FEA workflow can improve predictive consistency and modeling efficiency for performance-based assessment of advanced construction materials within the tested validation scope.

Interoperability Evaluation of BIM Data Transfer from Autodesk Revit to Robot Structural Analysis

The implementation of Building Information Modeling (BIM) in the construction industry demands efficient information integration across different disciplines. The integration between structural models and finite element models (BIM-to-FEM) has become crucial for data integration in structural analysis and modeling. The workflow from modeling to integration has a significant impact on the quality of the model output. This study aims to evaluate the level of interoperability in one-way data exchange from Autodesk Revit to Autodesk Robot Structural Analysis Professional (RSA) using the native API (Application Programming Interface) integration method. Testing was conducted through a case study involving the modeling of a multistory reinforced concrete building, with test parameters encompassing geometric consistency, material and section properties, structural connectivity, loading information, boundary conditions, and data loss. The evaluation results indicate that all data exchange indicators were fundamentally transferred successfully, achieving a 100% parameter accuracy rate. Nevertheless, this workflow does not run fully automatically and still requires significant manual adjustments and rework related to structural engineering logic. This study formulates standardized preprocessing steps to minimize misinterpretation errors before structural analysis computation is executed.

Research on the Integration of Steel Structure Design and Fabrication Based on MBSE

The results indicate that the proposed MBSE-oriented digital thread improves design consistency, reduces manual data re-entry, and strengthens traceability from requirements to manufacturing and assembly.

Automated design of steel-concrete composite structures using TechEditor software

EXAMINING THE G+2 REINFORCED CONCRETE FRAME'S STRUCTURE USING STAAD.PRO

Reinforced concrete (RC) frame structures must undergo structural analysis as a first stage in their design to guarantee sufficient strength, stability, and serviceability when subjected to stresses. Engineers may now more efficiently and accurately model and analyze complicated structural systems in three dimensions because to advancements in structural analysis software. This research project details the STAAD-based structural analysis of a G+2 reinforced concrete frame. Professional V8i (SELECTseries 5) in action. Following the applicable Indian Standard standards, a three-dimensional analytical model was created with 87 structural members and 48 joints. The model accounted for the necessary material qualities, sectional dimensions, support conditions, and loads. All loads, whether dead or live, as well as the governing load combination of 1.5(DL + LL), were taken into account throughout the study. Support responses, bending moment, shear force, axial force, and vertical displacement were used to analyze the structural response. Selected STAAD results were used to confirm the computational model's correctness.Simplified manual computations grounded on classical structural analysis techniques were contrasted with Pro. The numerical model was shown reliable when the comparison revealed variances within acceptable engineering norms, with a maximum divergence of around 12%. All structural response characteristics fulfilled the serviceability standards defined in IS 456:2000, according to the study. According to the research, STAAD.Pro is a solid and efficient platform for conducting 3D analyses of reinforced concrete frame structures, which may greatly aid in engineering and structural design decisions.