The numerical modelling of existing reinforced concrete (RC) bridges represents one of the most time-consuming and operator-dependent phases of seismic vulnerability assessment. Although advanced nonlinear analysis procedures are widely available, the generation of finite element (FE) models is still commonly performed through manual operations, limiting modelling efficiency, repeatability, and interoperability between design and analysis environments. This paper presents a layer-based CAD-to-FEM workflow for the structured generation of simplified FE models of existing RC bridges. The proposed methodology uses a standardized layer-based CAD organization and direct DXF interoperability with MIDAS Civil to transfer a centroidal representation of the bridge into a simplified beam-based finite element model. The centroidal axes of the bridge components are extracted from the original engineering drawings and classified into dedicated structural layers, providing a structured basis for subsequent FE model generation. The proposed workflow is designed to reduce manual preprocessing operations and improve modelling consistency by organizing the structural geometry through standardized CAD layers, thereby facilitating the generation of analysis-ready models for seismic assessment. The workflow is integrated with a Multi-Modal Pushover Analysis (MPA) procedure to evaluate the seismic vulnerability of bridges characterized by multiple significant vibration modes. A case study involving an existing Italian RC bridge demonstrates the feasibility of using the proposed simplified modelling strategy within a multi-modal nonlinear seismic assessment, including the evaluation of both ductile and brittle collapse mechanisms through seismic risk indices. The proposed workflow provides a structured framework for integrating conventional engineering drawings with nonlinear seismic assessment procedures.
Masonry structures, frequently encountered both in traditional architecture and in historical buildings, occupy a significant place among structural system types. In these systems, the load-bearing elements typically consist of walls made of materials such as brick and stone. Performance evaluation of masonry structure...
The calibration of structural models using field data is essential for improving the reliability of bridge assessment and the consistency of numerical simulations. This study presents an inspection-informed model updating approach for a real-world steel pedestrian bridge by integrating experimental modal data, BIM-ba...
M. Oyarhossein, Fernanda Rodrigues, H. Rodrigues· Scientific Reports· 0 citations
Accurate estimation of lateral displacement in reinforced concrete (RC) columns is essential for performance-based seismic assessment. Total lateral displacement consists of flexural, bar-slip, and shear deformation components; however, commercial structural analysis platforms such as SAP2000 generally consider only fl...
Sıla Avğın, M. M. Köse, E. Biçici· Journal of Structural Engine...· 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...
Chun-Mei Shen, Ji-Hua Gao, Dong Yang et al.· Journal of Architectural Eng...· 0 citations
The structural integrity of building products and their capacity to resist fire have become an increasing focus over recent decades. This thesis develops and evaluates a two-way coupled CFD–FEA framework to advance the understanding of fire–structure interactions in whole-building environments, with specific application t...
Double-layer barrel vault roofs with double-layer vertical walls are widely used in important public buildings because of their high structural efficiency, favorable stiffness-to-weight ratio, and architectural versatility. Although incremental dynamic analysis (IDA) is a widely accepted approach for seismic assessment...
Mohammad Kheirollahi, Moein Mirzaei, S. A. Banimahd et al.· Infrastructures· 0 citations
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