25 papers · ranked by Valyu relevance
Junxian Chen, Jianhai Zhang, Hongwei Zhao, Ana González-Marcos
Stress uniformity within the gauge zone of a cruciform specimen significantly affects materials’ in-plane biaxial mechanical properties in material testing. The stress uniformity depends on the load transmission of the cruciform specimen from the fixtures to the gauge zone. Previous studies failed to alter the nature…
Alberto Paganini, Florian Wechsung
One of the ultimate goals of structural optimization is the development of fully automated software that allows users to tackle challenging structural optimization problems in the automotive, naval, and aerospace industries without requiring deep knowledge of structural optimization theory. The scientific community is…
Necmettin Kaya
The objective of this study is to design rubber bushing at desired level of stiffness characteristics in order to achieve the ride quality of the vehicle. A differential evolution algorithm based approach is developed to optimize the rubber bushing through integrating a finite element code running in batch mode to…
Nikita Durasov, Artem Lukoyanov, Jonathan Donier, Pascal Fua
Shape optimization is at the heart of many industrial applications, such as aerodynamics, heat transfer, and structural analysis. It has recently been shown that Graph Neural Networks (GNNs) can predict the performance of a shape quickly and accurately and be used to optimize more effectively than traditional…
Daniel Schiwietz, Marian Hörsting, Eva Maria Weig, Matthias Wenzel + 1 more
'Peter Degenfeld-Schonburg'] Micro- and nanoelectromechanical system (MEMS and NEMS) resonators can exhibit rich nonlinear dynamics as they are often operated at large amplitudes with high quality factors and possess a high mode density with a variety of nonlinear modal couplings. Their impact is strongly influenced by…
Xili Wang, Pengfei Yin, Bo Zhang, Chao Yang
Shape optimization has been playing an important role in a large variety of engineering applications. Existing shape optimization methods are generally mesh-dependent and therefore encounter challenges due to mesh deformation. To overcome this limitation, we present a new adjoint-oriented neural network method, AONN-2…
Han Zhao, David Kamensky, John T. Hwang, Jiun-Shyan Chen
Isogeometric analysis (IGA) has emerged as a promising approach in the field of structural optimization, benefiting from the seamless integration between the computer-aided design (CAD) geometry and the analysis model by employing non-uniform rational B-splines (NURBS) as basis functions. However, structural…
Andrea Serani, Matteo Diez
Optimization Authors: ['Andrea Serani' 'Matteo Diez'] The rapidly evolving field of engineering design of functional surfaces necessitates sophisticated tools to manage the inherent complexity of high-dimensional design spaces. This review delves into the field of design-space dimensionality reduction techniques…
Volker Schulz, Martin Siebenborn
We compare surface metrics for shape optimization problems with constraints, consisting mainly of partial differential equations (PDE), from a computational point of view. In particular, classical Laplace-Beltrami type based metrics are compared with Steklov-Poincaré type metrics. The test problem is the minimization…
Authors not listed
This article presents an overview about the state of the art in the development of structured packings for distillation applications. The focus is on highlighting different approaches including heuristic development cycles, the development of new packing structures, 3D-printing as tool for manufacturing, and…
Marco Tezzele, Nicola Demo, Andrea Mola, Gianluigi Rozza
In this work we present an integrated computational pipeline involving several model order reduction techniques for industrial and applied mathematics, as emerging technology for product and/or process design procedures. Its data-driven nature and its modularity allow an easy integration into existing pipelines. We…
Gaoyuan Wu
Shape optimization is of great significance in structural engineering, as an efficient geometry leads to better performance of structures. However, the application of gradient-based shape optimization for structural and architectural design is limited, which is partly due to the difficulty and the complexity in…
M. J. Wood, T. C. S. Rendall, C. B. Allen, L. J. Kedward + 3 more
'N. J. Taylor' 'J. Fincham' 'N. E. Leppard'] A novel geometry parameterisation method constructed from a volume-of-solid driven cellular automata is presented. The method is capable of describing complex geometry of arbitrary topology using a set of volume-of-solid parameters applied to a geometry control mesh. This is…
P. Mancini, F. Fontana, E. Botte, C. Magliaro + 1 more
We describe an in-silico pipeline, Evolvoid, based on Genetic Algorithms (GAs) for identifying the optimal morphologies of cell-laden constructs. Driven by an ad hoc selection rule (i.e., the so-called fitness function (FF)), Evolvoid iteratively identifies the characteristics (i.e., the genome) of the ‘survival of the…
Nilay Kumar, Alexander Dowling, Jeremiah Zartman
Morphogenetic programs direct the cell signaling and nonlinear mechanical interactions between multiple cell types and tissue layers to define organ shape and size. A key challenge for systems and synthetic biology is determining optimal combinations of intra- and inter-cellular interactions to predict an organ’s…
Zhaocheng Xiang, Yufeng Ge
Maize leaf and canopy are the primary media to interact with environmental factors, including light interception, water evaporation, wind fluctuation, etc. Leaf morphology and canopy architecture affect the interaction process and activity significantly. Maize canopy architecture, a critical determinant of light…
Felix Neumann, Johannes T Margraf, Karsten Reuter, Albert Bruix
Despite the large relevance of bimetallic metal nanoparticles for heterogeneous catalysis, the relation between their shape and elemental composition remains elusive. Here, we investigate this relationship by implementing and applying global optimization methods enhanced with a novel optimal-exchange algorithm. In…
Jie Lin, Mingyuan Xu, Hongming Chen
Shape-based virtual screening is a widely utilized method in ligand-based de novo drug design, aiming to identify molecules in chemical libraries that share similar 3D shapes but simultaneously possess novel 2D chemical structures compared to the reference compound. As an emerging technology, generative model is an…
Jolanta Dzwierzynska, Carlos López-Colina
The successful and effective shaping of curvilinear steel bar structures is becoming an increasingly complex and difficult task, due to the growing demands to satisfy both economic and environmental requirements. However, computer software for algorithmic-aided design makes it possible to take into account many aspects…
Frantisek Sedlacek, Tomas Kalina, Martin Stepanek, Grzegorz Królczyk
This paper presents a novel design methodology that validates and utilizes the results of topology optimization as the final product shape. The proposed methodology aims to streamline the design process by eliminating the need for remodeling and minimizing printing errors through process simulation. It also eliminates…
Tim Y.Y. Tian, Colin B. Macdonald, Eric N. Cytrynbaum
Within plant cells, the self-organization of cortical microtubules (MTs) into ordered arrays is an important process for directional growth. There is growing evidence that cortical MTs respond to cell shape and/or mechanical stresses in the cell wall, requiring in silico models on complicated surfaces to provide a…
Rasha Atwi, Ye Wang, Simone Sciabola, Adam Antoszewski
Efficient virtual screening techniques are critical in drug discovery for identifying potential drug candidates. We present an open-source package for molecular alignment and 3D similarity calculations optimized for large-scale virtual screening of small molecules. This work parallels widely used proprietary tools and…
Sterling Baird, Jason R. Hall, Taylor D. Sparks
Would you rather search for a line inside a cube or a point inside a square? Physics-based simulations and wet-lab experiments often have symmetries (degeneracies) that allow reducing problem dimensionality or search space, but constraining these degeneracies is often unsupported or difficult to implement in many…
Sarit Dutta, Matthew A. Wade, Dylan J. Walsh, Damien Guironnet + 2 more
Bottlebrush polymers are a class of macromolecules that has recently found use in a wide variety of materials, ranging from lubricating brushes and nanostructured coatings to elastomeric gels that exhibit structural color. These polymers are characterized by dense branches extending from a central backbone, and thus…
Fabian Fröhlich, Peter K. Sorger
Ordinary differential equation (ODE) models are widely used to describe biochemical processes, since they effectively represent mass action kinetics. Optimization-based calibration of ODE models on experimental data can be challenging, even for low-dimensional problems. However, reliable model calibration is a…