Structural and Multidisciplinary Optimization

Papers
(The H4-Index of Structural and Multidisciplinary Optimization is 32. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)
ArticleCitations
Topology optimization of multi-scale structures: a review198
A new generation 99 line Matlab code for compliance topology optimization and its extension to 3D113
TOuNN: Topology Optimization using Neural Networks86
A review on feature-mapping methods for structural optimization72
A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies66
Accelerated topology optimization by means of deep learning59
A multi-objective optimization of the friction stir welding process using RSM-based-desirability function approach for joining aluminum alloy 6063-T6 pipes59
A comprehensive review of educational articles on structural and multidisciplinary optimization53
Evidence theory-based reliability optimization for cross-scale topological structures with global stress, local displacement, and micro-manufacturing constraints52
Scalable gradient–enhanced artificial neural networks for airfoil shape design in the subsonic and transonic regimes49
Level set topology and shape optimization by density methods using cut elements with length scale control48
Topology optimization with local stress constraints: a stress aggregation-free approach47
Crashworthiness design and multi-objective optimization of a novel auxetic hierarchical honeycomb crash box47
An efficient multi-objective optimization method based on the adaptive approximation model of the radial basis function46
On the use of artificial neural networks in topology optimisation46
Integrating deep learning into CAD/CAE system: generative design and evaluation of 3D conceptual wheel46
Subset simulation with adaptable intermediate failure probability for robust reliability analysis: an unsupervised learning-based approach46
PolyStress: a Matlab implementation for local stress-constrained topology optimization using the augmented Lagrangian method44
The heat source layout optimization using deep learning surrogate modeling42
Two-stage convolutional encoder-decoder network to improve the performance and reliability of deep learning models for topology optimization41
Topology optimization of a cable-driven soft robotic gripper41
Structural topology optimization with smoothly varying fiber orientations40
Three-dimensional topology optimization of thermal-fluid-structural problems for cooling system design39
A generalized hierarchical co-Kriging model for multi-fidelity data fusion38
Modeling, analysis, and optimization under uncertainties: a review37
An active-learning method based on multi-fidelity Kriging model for structural reliability analysis37
A general fidelity transformation framework for reliability-based design optimization with arbitrary precision36
Crashworthiness analysis and collaborative optimization design for a novel crash-box with re-entrant auxetic core34
Topology optimization with linearized buckling criteria in 250 lines of Matlab34
Reliability-based design optimization for RV reducer with experimental constraint33
Topology optimization in concrete construction: a systematic review on numerical and experimental investigations33
Accelerating gradient-based topology optimization design with dual-model artificial neural networks32
First-order reliability method based on Harris Hawks Optimization for high-dimensional reliability analysis32
Flexible-constrained time-variant hybrid reliability-based design optimization32
Variable-fidelity probability of improvement method for efficient global optimization of expensive black-box problems32
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