Structural and Multidisciplinary Optimization

For spatially varying multiscale configurations (SVMSCs) that increasingly gain engineering perspective, a design scheme enabling the direct tuning of their microstructural layouts is still desired. Challenges lie behind the fact that an arbitrary ...

The uncertainties in material and other properties of structures are often spatially correlated. We introduce an efficient technique for representing and processing spatially correlated random fields in robust topology optimisation of lattice ...

A discrete variable topology optimization method of internally finned ducts in heat exchangers for efficient thermal performance is proposed. Fully developed convective heat transfer (FDCHT) model, which has been extensively employed and well ...

Compliant mechanisms with multiple input loads and output ports are commonly applied in micro-electromechanical systems (MEMS), while compliant mechanisms under design-dependent pressure loadings (such as pneumatic or hydraulic) can generate ...

Reliability-based design and optimization (RBDO) is increasingly critical for high-quality products. However, existing methods, such as active learning Kriging (ALK) and sequential optimization and reliability assessment (SORA), encounter ...

For the multi-failure-mode system with multi-dimensional distribution parameter, estimating system failure probability function (SFPF) is essential to grasp the influence of the distribution parameter on system failure probability and decouple the ...

Multi-fidelity surrogate model (MFSM) methods have attracted significant attention recently in the field of engineering design by combining the information from high-cost high-fidelity (HF) data and low-cost low-fidelity (LF) data, which realizes ...

Due to the discreteness of material variables and nonlinearity of material plastic segment, the material-structure matching design efficiency of multiple parts is very low, and it is even difficult to achieve a feasible solution. To solve these ...

Mechanical metamaterials are artificial structures that possess exceptional mechanical properties that are not naturally occurring. The complex geometrical and topological features of these metamaterials pose significant challenges to both ...

Studies that optimise both the shape and topology of shell structures typically utilise CAD parametrisations to describe the geometry of the shell and density-based methods to characterise its material layout. Relying on CAD-based approaches has ...

Surrogate-based optimization has become a popular approach for solving problems with computationally expensive disciplinary solvers. Recently, the Efficient Global Multidisciplinary Design Optimization (EGMDO) algorithm was introduced as a ...

To improve the electrostatic elimination speed and ability of corona ionizers, the distance from the hole to the center of the tungsten needle $R$, the height of the inner wall $H,$ and the distance from the tungsten needle to the inner wall $L$ were ...${}_{}$$$${}_{}$$$${}_{}$$$$$$$$$$$$$$$$$$$$$

Equivalent constraint method (ECM) is an efficient method for safety life analysis under target time-dependent failure possibility (TDFP) constraint. However, the efficiency of existing ECM still needs to be improved for problems with complex ...

Metamaterials open up a spectrum of artificially engineered properties otherwise unreachable in conventional bulk materials. For electromechanical energy conversion systems, lightweight materials with high hydrostatic piezoelectric coupling ...

This note communicates a simple modification of the optimality criteria (OC) design update—as found in well-known Matlab implementations of the classical topology design problem—to an update based on a quadratic program (QP) with a single linear ...