Structural and Multidisciplinary Optimization

This work develops a novel ice detection framework specifically suitable for rotorcraft using computational aeroacoustics and Bayesian neural networks. In an offline phase of the work, the acoustic signature of glaze and rime ice shapes on an ...

The variable-fidelity surrogate (VFS) modeling technique is a data fusion method used to enhance the prediction accuracy of less intensively sampled primary quantities of interest (i.e., high-fidelity samples) by incorporating a large number of ...

In this paper, a non-pneumatic tire (NPT) based on the bionic petal structure has been proposed to have high load carrying capacity in low stress level. Firstly, according to GB/T 2977-2008 truck tire specifications, the numerical models of bionic ...

For multi-scale materials, the interplay of material and design uncertainties and reliability-based design optimization is complex and very dependent on the chosen modeling scale. Uncertainty quantification and management are often introduced at ...

This work presents a topology optimization method for prestressed cable-truss structures considering geometric nonlinearity. Based on the large deformation kinematics theory, we establish a multi-node cable element model, which can fully take into ...

The concept of concurrent material and structure optimization aims at alleviating the computational discovery of optimum microstructure configurations in multiphase hierarchical systems, whose macroscale behavior is governed by their ...

Isogeometric topology optimization (ITO) uses the same mathematical representation to integrate design, analysis and optimization, with high efficiency and accuracy. However, due to the complex optimized structures, the automatic generation of an ...

This work develops a topological optimization framework for parametric lattice structure design under harmonic load based on the scale-dependent multiscale finite element method (MsFEM). Two different design variables are introduced and optimized ...

The ability to efficiently solve topology optimization problems is of great importance for many practical applications. Hence, there is a demand for efficient solution algorithms. In this paper, we propose novel quasi-Newton methods for solving ...

Reliability sensitivity analysis plays an essential role in structural reliability design, especially for reliability-based design optimization (RBDO). However, for some complex and difficult problems, such as the RBDO of time-variant systems with ...

In this article, we focus on a design problem of flow distribution structure in nuclear reactor pressure vessel within the meshless topology optimization framework. A novel meshless particle method, NURBS-based particle hydrodynamics (NBPH) method,...

To improve the lightweight of the automotive body, the structure–connection–performance integration optimisation design was conducted for the multi-material body skeleton. The equivalent simplified joint model was established for dissimilar ...

We propose a high-performance GPU solver for inverse homogenization problems to design high-resolution 3D microstructures. Central to our solver is a favorable combination of data structures and algorithms, making full use of the parallel ...${\mathrm{}}^{\mathrm{}}\mathrm{}$

Currently, fatigue-resistance topology optimization has received ever increasing attention, in which most of the literature considers this issue as a simple extension of stress-based topology optimization. However, previous approaches may not be ...

We present a new approach and an algorithm for solving two-scale material optimization problems to optimize the behaviour of a fluid-saturated porous medium in a given domain. While the state problem is governed by the Biot model describing the ...

Aeroelastic stability of fan blades is a very important problem in the design of current aero-engines. For the hollow fan blade, the hollow region not only reduces the mass of the blade but also affects the aeroelastic stability. To achieve good ...

This paper proposes a reduced-dimensional model for the structural optimisation of conjugate heat transfer between parallel plates with constant temperature and a fluid channel of varying height. The model considers heat conduction and convection ...

We present an extension of the projection method proposed by Challis et al. (Int J Solids Struct 45(14–15):4130–4146, 2008) for constrained level set-based topology optimisation that harnesses the Hilbertian velocity extension-regularisation ...

Additive manufacturing (AM) technology is used in sectors such as automotive and aerospace, due to its advantages in producing complex and lightweight structures. However, it is necessary to reduce the total manufacturing costs for AM technology ...

In this study, we propose a novel structural condition assessment method based on adaptive vision feature extractions and reinforced learning-assisted evolution. First, the ‘features from accelerated segment test’ (FAST) algorithm cooperating with ...