Results 41 to 50 of about 204,378 (285)
State-of-the-art in aerodynamic shape optimisation methods [PDF]
, 2018 Aerodynamic optimisation has become an indispensable component for any aerodynamic design over the past 60 years, with applications to aircraft, cars, trains, bridges, wind turbines, internal pipe flows, and cavities, among others, and is thus relevant ...
Skinner, S.N., Zare-Behtash, H.
core +1 more source
Structural dynamic load prediction method based on long short-term memory network
Zhongguo Jianchuan YanjiuObjectiveTo address the limitations of traditional surrogate models in handling time-dependent dynamic processes and heterogeneous data, this paper proposes a dynamic load surrogate model method based on a long short-term memory (LSTM) network ...
Yuwei FAN +5 more
doaj +1 more source
Aerospace, 2022 The complicated flow conditions and massive design parameters bring two main difficulties to the aerodynamic optimization of axial compressors: expensive evaluations and numerous optimization variables. To address these challenges, this paper establishes
Yi Liu +3 more
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Reservoir-based surrogate modeling of dynamic user equilibrium
Transportation Research Procedia, 2019 Abstract This paper proposes a new dynamic user equilibrium (DUE) traffic assignment model using reservoir-based network reduction techniques and surrogate dynamic network loading models. A traffic network is decomposed into a reservoir structure, and the DUE problem is formulated as a variational inequality, with an embedded surrogate model for the ...
Qian Ge +3 more
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The Data-Driven Surrogate Model-Based Dynamic Design of Aeroengine Fan Systems [PDF]
Journal of Engineering for Gas Turbines and Power, 2020 Abstract High-cycle fatigue failures of fan blade systems due to vibrational loads are of great concern in the design of aeroengines, where energy dissipation by the relative frictional motion in the dovetail joints provides the main damping to mitigate the vibrations.
Zhu, Yun-Peng +5 more
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Surrogate modeling of vehicle dynamics using Recurrent Neural Networks
Transactions of the JSME (in Japanese), 2020 Computer Aided Engineering (CAE) is indispensable for vehicle design to reduce the development cost; however, its computation time is a heavy burden when tuning design parameters. In this respect, several studies have been carried out for replacing CAE with machine learning-based surrogate models.
Kohei MAKINO +4 more
openaire +3 more sources
Design Optimization Utilizing Dynamic Substructuring and Artificial Intelligence Techniques [PDF]
, 2008 In mechanical and structural systems, resonance may cause large strains and stresses which can lead to the failure of the system. Since it is often not possible to change the frequency content of the external load excitation, the phenomenon can only be ...
Akcay Perdahcioglu, D. +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed +5 more
wiley +1 more source
Science and Technology for Energy Transition, 2023 This paper deals with the optimization of the short-term production planning of a real cascade of run-of-river hydropower plants. Water inflows and electricity prices are subject to data uncertainty and they are modeled by a finite set of joint scenarios.
Piguet Antoine +4 more
doaj +1 more source
Replication or exploration? Sequential design for stochastic simulation experiments
, 2019 We investigate the merits of replication, and provide methods for optimal design (including replicates), with the goal of obtaining globally accurate emulation of noisy computer simulation experiments.
Binois, Mickael +3 more
core +2 more sources