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Consider the Graduate School 1462. Its focus was evaluating coupled numerical and experimental partial models in structural engineering. This ran from 2008 to 2018. In engineering and construction planning, various models exist. They assess the functionality, safety, and reliability of structures.
Global problems use partial models. A single comprehensive model is often too complex. Numerous partial models exist. They are developed and used independently. Sometimes they are coupled to describe global issues.
Assumptions made during modelling lead to idealized results. The coupling of partial models plays a vital role. This role has been often neglected. There were no fundamental studies. These studies would have evaluated the quality of partial models. This evaluation would consider influences from model couplings.
Confidence in an engineering model relied on engineers experience. The Graduate School 1462 addressed this. The first phase developed a methodical basis. This was for evaluating prognosis models for structural engineering. The evaluation was in a quantifiable manner. Systematization of model properties was important. Synthesis and analysis methods were key. The interplay of partial and global models mattered. Sensitivity, robustness, complexity, and uncertainty were essential model properties.
The second phase focused on quantitative evaluation. It looked at partial models and their coupling. It considered blurring effects. Investigations explored the interaction of experimental models. These models interacted with mathematical and numerical models. The focus included experiments on small parts. It extended to monitoring complex structures. A consistent methodology was created. This was for evaluating hybrid models in structural engineering. The models offered insights into evaluating model quality.
The quality of data recording plays a vital role. This includes measurement, transmission, and long-term storage. Systematization and evaluation of measurement data are essential. A realistic assessment of global models is possible. This relies on hybrid models based on coupled partial models.
Quality definitions require subjective targets. This is true even with objective boundaries. A generalized method for evaluating engineering models is limited. Quality is an evaluated quantity. It can be objectively represented. Extensive scientific investigations are necessary. These investigations focus on model coupling and partial models. Standardized reliability criteria are needed.
Enhanced modelling possibilities will change global model quality. Evaluation of partial models interaction becomes increasingly important. The researchers involved in Graduate School 1462 expressed their gratitude. They thanked the German Research Foundation for funding. They appreciated the professional support. Special thanks went to Professor Tom Schanz. His commitment and support were crucial for the project’s success. This report and the Graduate School’s results are dedicated to him.