Serving the Numerical Simulation community since 1989 
Today, we released product updates for StressCheck Professional and StressCheck-Powered Apps. Many customer-defined enhancements were added, and the software user experience improved.
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ESRD, Inc. will be exhibiting and providing a training course on modeling fastened connections at the ASIP Conference 2018 in Phoenix, AZ from November 26-29, 2018.
XAI Will Force Clear Thinking About the Nature of Mathematical Models It is generally recognized that explainable artificial intelligence (XAI) will play an important role in numerical simulation where it will impose the requirements of reliability, traceability, and auditability. These requirements will necessitate clear thinking about the nature of mathematical models, the trustworthiness of their predictions, and ways to improve their reliability.
In engineering sciences, we classify mathematical models as ‘proper’ or ‘improper’ rather than ‘scientific’ or ‘pseudoscientific’. A model is said to be proper if it is consistent with the relevant mathematical theorems that guarantee the existence and, when applicable, the uniqueness of the exact solution. Otherwise, the model is improper. At present, the large majority of models used in engineering practice are improper. Following are examples of frequently occurring types of error, with brief explanations.
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