CarHoods10k: An industry-grade data set for representation learning and design optimization in engineering applications
Large-scale, high-quality data sets are central to the development of advanced machine
learning techniques that increase the effectiveness of existing optimization methods or even …
learning techniques that increase the effectiveness of existing optimization methods or even …
Topology optimisation of friction under-platform dampers using moving morphable components and the efficient global optimization algorithm
Under-platform dampers (UPDs) are traditionally used in aircraft engines to reduce the risk
of high cycle fatigue. By introducing friction in the system, vibrations at resonance are …
of high cycle fatigue. By introducing friction in the system, vibrations at resonance are …
A constrained Bayesian Optimization framework for structural vibrations with local nonlinearities
Q Ragueneau, L Laurent, A Legay, T Larroque… - Structural and …, 2024 - Springer
In order to address stringent standards, energy efficiency objectives or also cost reduction
imperatives, the optimal design of complex industrial structures is an important concern. In …
imperatives, the optimal design of complex industrial structures is an important concern. In …
[PDF][PDF] Fighting High Dimensionality in Bayesian Optimization for Applications in Mechanical Design
Recent advances in innovative manufacturing technologies and computer-aided tools have
focused attention on the prototyping phase of mechanical structures, where artificial …
focused attention on the prototyping phase of mechanical structures, where artificial …