SERVICE:
Artificial Intelligence
Artificial Intelligence
Masera Engineering provides services related to the use of Artificial Intelligence to process large-scale data, learn and analyze data, and extract useful information for engineering processes. The ability to simulate and optimize complex problems provides more accurate and efficient solutions. Not only optimizations but also generations of millions of data to serve the design of structures: this is the challenge Masera Engineering is undertaking, the challenge of generative Artificial Intelligence. Here are some of the main services offered:
- data analysis from continuous monitoring
- bridge and viaduct design;
- structural optimization;
- parametric engineering;
- risk assessment;
- visual recognition of defects on structures;
- maintenance management
I-BIM
Infrastructure-Building Information Modeling (I-BIM) is the digital management system for infrastructure construction information processes now in widespread use in companies. The benefits collected by Masera Engineering Group included having a tool for interaction between all disciplines and sharing information at all levels of design, so that the work is always on track and synergistic. A fluidity of sharing could be experienced, which is an added benefit in facilitating dialogue and stakeholder feedback.
BIM, parametric engineering and interoperability with FEM
Parametric engineering involves the creation of a flexible geometric model that incorporates parameters and numerical relationships between them using visual programming codes. Repetitive operations are automatized, allowing the model to be updated by changing input data. Therefore, the parametric model becomes an optimal framework that offers multiple solutions based on the values imposed for each parameter, without the need to redefine the model. Through the parametric approach, a complete workflow is defined that allows the development of both the FEM model for structural analysis and the BIM model with geometric and nongeometric information. This methodology ensures the interaction and synchronization of both models.
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