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The Isidis Planitia region on Mars usually is regarded as a comparably attractive site for landing missions based on engineering constraints such as elevation and smooth regional topography.
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We propose a methodology to find such redundant constraints based on engineering knowledge and physical insight.
The extrapolative capability of these models is enhanced by embedding constraints within them, based on engineering judgment and operating experience.
Most importantly, to ensure robust model prediction, constraints are embedded into the model's architecture based on engineering judgment and plant operating experience.
Like the set point model, this idea is also based on engineering control systems.
In order to assess the reliability of every individual time constraint, we conducted a cross-validation, whereby we relaxed constraints one by one, and estimated divergence dates of relaxed constraints based on all other constraints (Fig. 2).
We propose a top – down approach based on system engineering and requirement engineering.
Biomechanics is considered as a bridge discipline between medicine and mechanical engineering, which enables the geometric representation and numerical simulation of biomechanical structures based on mechanical constraints.
We need to get back to making stuff, based on real engineering not just financial engineering.
We present robust mesh update algorithms based on geometric constraints.
We are using Optistruct's topology optimization software to minimize material usage based on these constraints.
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