Article
Mathematics, Applied
Luka Porenta, Marko Lavrencic, Jaka Dujc, Miha Brojan, Jaka Tusek, Bostjan Brank
Summary: This paper presents a finite element model for the analysis of shape memory alloy shells, based on a seven-parameter, large-rotation, one-director shell formulation, which considers a fully three-dimensional form of the constitutive equations for isothermal transformations and the shape-memory effect. Through numerical examples, it demonstrates excellent accuracy compared to 3D solid SMA formulations, even with a significantly reduced number of degrees of freedom leading to shorter computational time.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2021)
Article
Nanoscience & Nanotechnology
M. Vollmer, A. Bauer, M. J. Kriegel, M. Motylenko, T. Niendorf
Summary: A novel approach was introduced to obtain functionally graded properties in an Fe-Mn-Al-Ni shape memory alloy by aging a single crystalline sample in a partially martensitic state. The properties in the austenite aged area showed changed superelastic hysteresis, while the martensite aged area remained almost unchanged. The mean average size of nanometric beta precipitates strongly influenced the transformation temperatures and stresses in different aged areas.
SCRIPTA MATERIALIA
(2021)
Article
Mathematics, Applied
Y. Liang, B. A. Izzuddin
Summary: This paper presents a family of 6-noded Reissner-Mindlin triangular shell elements based on the hierarchic optimisation approach, which can effectively alleviate inaccuracies arising from locking and embrace the desirable characteristics of spatial isotropy and insensitivity to element distortion.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2022)
Article
Computer Science, Interdisciplinary Applications
Allan L. Marbaniang, Subhrajit Dutta, Siddhartha Ghosh
Summary: This paper proposes a novel optimization-based form-finding technique for tensile membrane structures, which efficiently handles numerical issues and challenges and demonstrates an efficient and accurate solution.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2022)
Article
Engineering, Multidisciplinary
Li Rao, Chao Lin, Chenglin Zhang, Mohammad Arefi
Summary: This study investigates the dynamic analysis of a functionally-graded cylindrical micro shell and includes the effect of small parameters in the micro scale. Modified couple stress theory and third-order shear deformation theory are employed for analyzing the structure. The numerical results demonstrate that an increase in the micro parameter leads to an increase in the natural frequency, while an increase in the in-homogeneity index results in a softer structure and a decrease in the natural frequency.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Engineering, Civil
Baoshi Jiang, Jingyao Zhang, Makoto Ohsaki
Summary: This study presents four shape optimization problems to obtain rational shapes for free-form shell structures with high static and dynamic performances. The measure of static performance is the strain energy under static loads, while the measure of dynamic performance is the lower bound on the fundamental natural frequency or strain energy under seismic loads. Multiple numerical examples are provided to demonstrate the effectiveness of the proposed method.
Article
Chemistry, Multidisciplinary
Xiaobin Xie, Marijn A. van Huis, Alfons van Blaaderen
Summary: A new method for synthesizing Au NP@mSiO(2) yolk-shell particles with tunable size and hollow space is proposed, the structure can be manipulated from core-shell to yolk-shell by varying reaction parameters, and the release of Au nanotriangle cores in yolk-shell particles was demonstrated through liquid-cell transmission electron microscopy.
Article
Engineering, Civil
M. Faraji Oskouie, R. Ansari, M. Darvizeh
Summary: In this article, a numerical approach is presented for the large deformation analysis of shell-type structures made of Neo-Hookean and Kirchhoff-St Venant materials. The proposed method is locking-free, simple to implement, computationally efficient, and has a fast convergence rate.
THIN-WALLED STRUCTURES
(2022)
Article
Computer Science, Interdisciplinary Applications
Shengqi Feng, Weihong Zhang, Liang Meng, Zhao Xu, Liang Chen
Summary: This paper presents an effective B-spline parameterization method for stiffener layout optimization of thin-walled shell structures, generating a continuous height field matching the characteristics of the shell structure. The finite element method is used for structural analysis, and compared with the standard method, the proposed method can produce checkerboard-free design results.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Engineering, Marine
Toni Holjevic, Sinisa Druzeta, Luka Grbcic, Marta Alvir
Summary: This study investigated the transport and settling behavior of microplastic particles in water streams by analyzing the impact of particle shape. The experimental analysis focused on flat square particles and 3D cubic particles and their settling trajectories were tracked. The results showed that the shape parameters were correlated with the settling behavior, and a model for estimating the drag coefficient based on particle shape was proposed.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Mengke Zhuang, Llewellyn Morse, Zahra Sharif Khodaei, M. H. Aliabadi
Summary: A novel methodology using the Boundary Element Method (BEM) for evaluating the response sensitivities of shallow shell structures is presented. The Implicit Differentiation Method (IDM) is incorporated with BEM to assess the reliability of shallow shell structures. The IDM is validated against analytical solution and Finite Difference Method (FDM), showing high accuracy and efficiency. Sensitivity analysis reveals that uncertainties in curvature, thickness, and applied pressure distribution parameters have the largest impact on structural reliability.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2023)
Article
Acoustics
Si-Si Shen, Jie Yao, Wei-Xuan Zhang, Da-Jian Wu
Summary: A complete model in the frequency domain is developed to analyze the photoacoustic (PA) response of core-shell particles. The study reveals that core-shell particles exhibit pronounced resonant modes, which vary with the thickness of the shell and the radius of the core. The structure can be monitored by analyzing the PA signals.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
(2022)
Article
Construction & Building Technology
Jiangpeng Shu, Wenhao Li, Yifan Gao
Summary: This research presents a trajectory planning approach for robotic assembly of lightweight structures for COVID-19 healthcare facilities. The approach developed an algorithm that refined the RRT* algorithm to enable collision avoidance. Testing revealed satisfactory performance in collision-avoiding and trajectory-smoothing, with time and labor savings compared to traditional methods.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Multidisciplinary Sciences
Jae-Hyeok Lee, Yongsub Kim, Sang-Koog Kim
Summary: In this study, we experimentally demonstrated that heat-dissipation power driven by ferromagnetic resonance (FMR) in superparamagnetic nanoparticles can lead to highly localized incrementation of targeted temperatures. The generated power is extremely high and robustly correlated with the intrinsic material parameters. Additionally, we found that the magnetization-dissipation-driven temperature increments can be reliably manipulated by extremely low strengths of applied AC magnetic fields.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Multidisciplinary
Huashi Yang, Chunying Dong, Yihao Wu, Rui Dai
Summary: This paper presents a solid-shell coupling analysis method based on isogeometric analysis, which reduces the computational scale of the solid part and simplifies the implementation of coupling constraints, achieving the mixed-dimensional coupling analysis of solids and shells.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2021)
Article
Engineering, Civil
Mate Pentek, Andreas Winterstein, Michael Vogl, Peter Kupas, Kai-Uwe Bletzinger, Roland Wuechner
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
(2018)
Article
Engineering, Mechanical
G. De Nayer, A. Apostolatos, J. N. Wood, K. U. Bletzinger, R. Wuechner, M. Breuer
JOURNAL OF FLUIDS AND STRUCTURES
(2018)
Article
Engineering, Multidisciplinary
Andreas Apostolatos, Kai-Uwe Bletzinger, Roland Wuechner
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2019)
Article
Engineering, Mechanical
Andreas Apostolatos, Guillaume De Nayer, Kai-Uwe Bletzinger, Michael Breuer, Roland Wuechner
JOURNAL OF FLUIDS AND STRUCTURES
(2019)
Article
Engineering, Multidisciplinary
L. F. Leidinger, M. Breitenberger, A. M. Bauer, S. Hartmann, R. Wuechner, K-U Bletzinger, F. Duddeck, L. Song
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2019)
Article
Engineering, Multidisciplinary
Franz-Josef Ertl, Guido Dhondt, Kai-Uwe Bletzinger
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2019)
Article
Engineering, Multidisciplinary
A. M. Bauer, R. Wuechner, K-U Bletzinger
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2020)
Article
Engineering, Civil
Martin Fusseder, Roland Wuechner, Kai-Uwe Bletzinger
Summary: This contribution presents a computational engineering tool for investigating the sensitivity responses of a structural analysis model to variations in model parameters. It introduces a method based on the relationship between adjoint sensitivity analysis and the classical technique of influence functions, allowing for the evaluation of sensitivities for general responses, parameters, and structures. The paper discusses the methodological relationship and demonstrates how the influence function of important responses can be identified using the adjoint sensitivity equation. The results of sensitivity analysis are visually processed as maps, similar to the traditional method of influence functions. The application of the method and sensitivity maps is demonstrated through engineering structure examples, highlighting the importance of model parameters in the structural design process.
ENGINEERING STRUCTURES
(2022)
Article
Engineering, Multidisciplinary
Manuel Messmer, Tobias Teschemacher, Lukas F. Leidinger, Roland Wuechner, Kai-Uwe Bletzinger
Summary: This publication presents a robust and efficient approach for fully CAD-integrated analyses of solids. The approach embeds a three-dimensional object into a uniform B-Spline cuboid and utilizes trimming surfaces for material distinction. It constructs efficient quadrature rules to reduce simulation times and achieves optimal convergence in energy norm.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Engineering, Civil
Stefan Grabke, Kai-Uwe Bletzinger, Roland Wuchner
Summary: Coda wave interferometry is a structural health monitoring technique that detects cracks in concrete using diffuse ultrasound. This study develops a sensitivity kernel-based methodology for damage localization and successfully applies it in experiments.
ENGINEERING STRUCTURES
(2022)
Article
Engineering, Civil
A. Winterstein, S. Warnakulasuriya, K. -U. Bletzinger, R. Wuechner
Summary: This paper proposes a high-fidelity simulation approach for wind effects on high-rise and slender structures, and a validation strategy using on-site measurements. The developed procedures are shown with the example of the Olympic Tower in Munich to demonstrate their applicability and highlight the challenges and relevance of certain aspects in modeling, simulation, and validation. The results of the wind-structure interaction simulations show good accordance with the on-site measurements, indicating the potential of Computational Wind Engineering approaches.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
(2023)
Article
Construction & Building Technology
Klaus Bernd Sautter, Kai-Uwe Bletzinger
Summary: This paper introduces a geometric and materially nonlinear truss element analysis method based on the variation of reference strategy, which aims to find the unknown reference configuration for a given desired deformed structural shape. By introducing different hyperelastic material laws and considering the self-weight load case, the paper demonstrates the capabilities of solving structural problems of varying scales.
ADVANCES IN CIVIL ENGINEERING
(2022)
Article
Engineering, Civil
Kumar Rajnish, Anoop Kodakkal, Daniel H. Zelleke, Rishith E. Meethal, Vasant A. Matsagar, Kai-Uwe Bletzinger, Roland Wuechner
Summary: This study investigates the implementation of machine learning for real-time prediction of the damping ratio of a semi-active tuned mass damper (SA-TMD) to enhance vibration control in vehicle-bridge interaction (VBI) problems. The response assessment of different bridge models is performed under a Japanese SKS train model. The energy-based predictive (EBP(R)) control algorithm is implemented for the SA-TMD, but its effectiveness reduces for complex VBI systems due to computational time delay. To overcome this, a control strategy based on the weighted random forest (WRF) algorithm is proposed. Results show that the WRF algorithm suppresses bridge vibration more effectively than the EBP algorithm.
PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-BRIDGE ENGINEERING
(2023)
Article
Mechanics
Rishith E. Meethal, Anoop Kodakkal, Mohamed Khalil, Aditya Ghantasala, Birgit Obst, Kai-Uwe Bletzinger, Roland Wuechner
Summary: We propose a novel hybrid methodology that combines classical finite element methods (FEM) with neural networks to create a high-performing and generalizable surrogate model for forward and inverse problems. The residual from FEM and custom loss functions from neural networks are merged to form the algorithm. The FEM-NN hybrid model is data-efficient and physics-conforming. This methodology can be applied in real-time simulation, uncertainty quantification, and optimization for forward problems, as well as model updating for inverse problems. The hybrid methodology shows improved accuracy and performance compared to traditional network training and classical FEM. Application examples include uncertainty quantification of wind effects on high-rise buildings and speed-dependent bearing coefficient identification of fluid bearings.
ADVANCED MODELING AND SIMULATION IN ENGINEERING SCIENCES
(2023)
Article
Mechanics
Veronika Singer, Klaus B. Sautter, Antonia Larese, Roland Wuechner, Kai-Uwe Bletzinger
Summary: In this work, a partitioned coupling scheme that combines the Material Point Method (MPM) and Discrete Element Method (DEM) is proposed for simulating the interaction between large strain flow events and obstacles. The scheme allows for the selection of the most suitable solver for each model and combines the advantages of both physics.
ADVANCED MODELING AND SIMULATION IN ENGINEERING SCIENCES
(2022)