The traditional finite element (FE) model updating method based on a static surrogate model
often suffers from high calculation costs and low updating accuracy. To address these …

This paper proposes a new active learning method named as optimum-pursuing method
(OPM) from the viewpoint of optimization theory, which aims to provide an effective tool for …

To further alleviate the computational cost of single-fidelity efficient global optimization
(EGO) method, the variable-fidelity surrogate-based EGO method assisted by variable …

Structural reliability analysis aims at computing failure probability with respect to prescribed
performance function. To efficiently estimate the structural failure probability, a novel two …

Computer models are commonly used to simulate the functional relationships between
inputs and outputs for quality design in 3D printing. However, the high-dimensional outputs …

Piezo-actuated compliant morphing structures can transmit motion and force via elastic
deformation with lower weight, simplified design, and higher accuracy, a typical example is …

The prevalence of highly nonlinear and implicit performance functions in structural reliability
analysis has increased the computational effort significantly. To solve this problem, an …

For complicated aerodynamic design problems, the efficient global optimization method
suffered from the defect of the incorrect portrayal of the design space, resulting in bad global …

Multi-fidelity surrogate models received a lot of attention in engineering optimization due to
their ability to achieve the required accuracy at a lower cost. However, selecting an …

Cancer immunotherapy often involves the use of engineered molecules to selectively bind
and activate T cells located within tumour tissue. Fundamental to the success of such …