Jul 2026· Enrichment: Journal of Multidisciplinary Research and Development· Vol 4, pp. 454-464· 0 citations
Abstract
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.
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 and offers an integration process based on checkpoints that uses controlled modeling methods, validates models after transfer, and coordinates federated models.
Banothu Sairam Nayak, A. V. Anjani Devi, B. S. Chandra· International Journal of AI...· 0 citations
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 to show that BIM-to-FEM interoperability is still a somewhat automated process that needs rigorous verification.
Banothu Sairam, Nayak, M. Devi et al.· 0 citations
Manual quantity take-off (QTO) for building projects typically requires repeated interpretation of architectural drawings and transfer of measurements to spreadsheets or databases, which can limit traceability and increase the risk of preventable errors. This study investigates whether Building Information Modeling (BIM) can provide a reliable quantity-validation approach to support smarter and more resource-efficient infrastructure delivery in a healthcare building project. A BIM model of major structural and architectural work packages was developed in Autodesk Revit using a maternity hospital building in Boyolali, Indonesia, as the case study. Model-derived quantities were first validated against manual calculations and then compared with consultant-reported quantities. The validation stage showed very strong agreement between manual and model-based quantities, with correlation and coefficient-of-determination values of at least 0.99. However, substantial discrepancies were identified for grade beams (52.66%), base concrete work (42.04%), and bore piles (32.94%), corresponding to a potential cost exposure of IDR 3,088,177,992.10 (18.72%).
Fendi Hary Yanto, Widi Hartono, T. Sucipto· E3S Web of Conferences· 0 citations
In the digital transformation of the architecture, engineering, and construction industry, Building Information Modeling (BIM) is increasingly understood as an information management framework rather than a geometric modeling tool. For reinforced concrete (RC) structures, major discontinuities persist between design, construction, as-built delivery, operation, and retrofit stages, limiting the long-term value of BIM implementations. This paper adopts a practice-informed framework development approach, combining direct field experience in structural assessment with analysis of ISO 19650, IFC 4.3.x (ISO 16739-1), IDS 1.0, and relevant literature. Field evidence from structural inspection practice in Vietnam demonstrates that three categories of information—concrete quality records, load history, and as-built information—are systematically unavailable at the time of assessment, forcing engineers to rely on costly destructive investigation. On that basis, a five-layer BIM-IFC information framework is proposed, whose main contribution is an Extended Technical Data Layer (ETDL) for structural reassessment, retrofit planning, durability management, structural health monitoring, and forensic investigation. The paper further clarifies how ETDL attributes can be represented within IFC-compatible workflows through extended properties, derived indicators, and linked lifecycle records. A prototype implementation using Autodesk Revit, IFC-based information exchange, and lifecycle information workflows is presented to demonstrate technical feasibility. The proposed framework offers a practical maturity pathway for Vietnamese RC practice and supports the transition from project-centric BIM models toward asset-oriented information management for sustainable lifecycle decision-making.
Nguyen-The Duong· 2026 11th International Conf...· 0 citations
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.
Chun-Mei Shen, Ji-Hua Gao, Dong Yang et al.· Journal of Architectural Eng...· 0 citations
Data silos and topological incompatibility between building information modeling (BIM) geometric models and finite element method (FEM) analysis models in transportation infrastructure engineering represent critical bottlenecks that impede real-time digital twin analysis and the intelligent transformation of the industry. Based on a critical review of existing BIM-to-FEM conversion methods and their limitations, this study proposes a “BIM-FEM” seamless conversion and dynamic twin mapping method that integrates parametric modeling with finite element meshing, with modeling and repair time reduced from 16 h to 3 h, and the maximum element aspect ratio improved from 84.78 to 16.59. In terms of geometric topology, we propose a collaborative construction method in which finite element hexahedral meshing rules drive BIM parametric modeling in reverse. By regularizing the decomposition of axis lines and cross-sectional feature points of linear transportation structures and optimizing their topology, we achieve fully automated hexahedral meshing without topological errors. In terms of mechanical analysis, an “offline pre-solution, online superposition” computational order-reduction model is proposed. This reduces the high-dimensional full-range finite element solution of dynamic traffic loads to a dot product operation between the influence line matrix and real-time load vectors, enabling sub-second computational response under high-concurrency dynamic traffic conditions—specifically, single-point mapping takes less than 0.27 ms, incremental updates are controlled within 0.2 s. In terms of spatiotemporal mapping and system applications, a high-fidelity “FEM-BIM” mapping mechanism based on inverse isoparametric transformation and AABB (Axis-Aligned Bounding Box) spatial indexing has been established, supporting real-time rendering of 3D cloud maps on the web and digital twin applications in engineering. Applications of this method in real-world bridge engineering digital twin systems have demonstrated its ability to perform automatic structural safety assessments and health condition predictions with an overall computation time reduction of approximately 73% compared to conventional approaches. This addresses the shortcoming of traditional structural health monitoring—which emphasizes sensor-based identification over mechanistic evaluation—and provides a viable path for intelligent, precise management and maintenance of transportation infrastructure throughout its entire life cycle.
C. Liang, Wen-Yong Li, Chang-hai Wang et al.· Applied Sciences· 0 citations
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