Spatial-temporal fusion network for maximum ground surface settlement prediction during tunnel excavation
The maximum ground surface settlement prediction is a complex problem as the settlement
depends on plenty of intrinsic and extrinsic factors. To obtain the approximate range of the …
depends on plenty of intrinsic and extrinsic factors. To obtain the approximate range of the …
An efficient global optimization algorithm for expensive constrained black-box problems by reducing candidate infilling region
Y Zeng, Y Cheng, J Liu - Information Sciences, 2022 - Elsevier
Surrogate-based optimization methods are usually employed to solve expensive black-box
optimization problems. Constraints bring more challenges for optimization than …
optimization problems. Constraints bring more challenges for optimization than …
Stochastic Bayesian optimization for predicting borderline knock
Engine knock is an undesirable combustion that could damage the engine mechanically. On
the other hand, it is often desired to operate the engine close to its borderline knock limit to …
the other hand, it is often desired to operate the engine close to its borderline knock limit to …
Multi-objective surrogate-assisted stochastic optimization for engine calibration
A surrogate-assisted optimization approach is an attractive way to reduce the total
computational budget for obtaining optimal solutions. This makes it special for its application …
computational budget for obtaining optimal solutions. This makes it special for its application …
Simulation failure-robust Bayesian optimization for data-driven parameter estimation
A Chakrabarty, SA Bortoff… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Advances in modeling and computation have resulted in high-fidelity digital twins capable of
simulating the dynamics of a wide range of industrial systems. These simulation models …
simulating the dynamics of a wide range of industrial systems. These simulation models …
Real-time prediction of tbm driving parameters using geological and operation data
The real-time prediction of tunnel boring machine (TBM) driving parameters is a critical step
during the process of tunnel excavation. To obtain the dynamic characteristics and the …
during the process of tunnel excavation. To obtain the dynamic characteristics and the …
Borderline knock adaptation based on online updated surrogate models
J Tang, W Dai, C Archer, J Yi… - International Journal of …, 2023 - journals.sagepub.com
Spark ignition engines are often desired to be operated close to its knock borderline limit,
when MBT (maximum brake torque) cannot be achieved, to optimize engine efficiency …
when MBT (maximum brake torque) cannot be achieved, to optimize engine efficiency …
Data driven feedforward control strategy for multi-fuel uas engine
An engine is a complex system that requires a control strategy to perform optimally and
reliably. The majority of the existing system uses a lookup table-based control strategy, also …
reliably. The majority of the existing system uses a lookup table-based control strategy, also …
Physics-constrained Bayesian optimization for optimal actuators placement in composite structures assembly
Complex constrained global optimization problems such as optimal actuators placement are
extremely challenging. Such challenges, including nonlinearity and nonstationarity of …
extremely challenging. Such challenges, including nonlinearity and nonstationarity of …
Dexterous workspace optimization for a six degree-of-freedom parallel manipulator based on surrogate-assisted constrained differential evolution
H Pu, H Cheng, G Wang, J Ma, J Zhao, R Bai… - Applied Soft …, 2023 - Elsevier
Parallel manipulators are increasingly applied because of their high stiffness, load capacity,
and motion precision. However, the workspace of a parallel manipulator is relatively small …
and motion precision. However, the workspace of a parallel manipulator is relatively small …