Results 31 to 40 of about 6,863,913 (282)

Robust control applications for smart truss structure [PDF]

, 2005
A finite element modeling of an intelligent truss structure with piezoelectric stack actuators for the purpose of active damping and structural vibration attenuation is presented.
Da Silva, Samuel, Carvalhal, Ricardo, Júnior, Vicente Lopes   +2 more
core   +3 more sources

A Cumulative Expansion Force-Finding Method for Suspension-Cable Truss Composite Structure

Advances in Civil Engineering, 2020
Suspension-cable truss composite structure is a new type of cable-strut structure which combines the conventional cable structure with the rigid truss.
Lifan Huang, Bin Luo, Mingmin Ding, Chunshui Zhang, Yangjie Ruan   +4 more
doaj   +1 more source

Study on flow and heat transfer performance of X-type truss array cooling channel

Case Studies in Thermal Engineering, 2021
In this study, an innovative cooling channel filled with a novel X-type truss array structure was proposed to improve the cooling effect of turbine blade mid-chord region.
Lei Xi, Liang Xu, Jianmin Gao, Zhen Zhao, Yunlong Li   +4 more
doaj   +1 more source

Analysis of Vibration Transmission Characteristics for an Improved Space Truss Structure Based on the Periodic Characteristics

Taiyuan Ligong Daxue xuebao
[Purposes] In this paper, the dynamics of the three-dimensional periodic lattice cluster structure is analyzed to explore the internal relationship between the design of different periodic elements and the macroscopic global characteristics.
GOU Haichao, LU Guoyun, YANG Huiwei
doaj   +1 more source

Artificial Ontogeny for Truss Structure Design [PDF]

, 2008
International audienceThis paper introduces an approach based on Artificial Embryogeny for truss design to address the problem of finding the best truss structure for a given loading.
Bredeche, Nicolas, Schoenauer, Marc, Devert, Alexandre   +2 more
core   +2 more sources

Second-order cone programming formulations for a class of problems in structural optimization

, 2010
This paper provides efficient and easy to implement formulations for two problems in structural optimization as second-order cone programming (SOCP) problems based on the minimum compliance method and derived using the principle of complementary energy ...
Makrodimopoulos, A., Keane, A.J., Bhaskar, A.   +2 more
core   +1 more source

Load Distributing Metamaterials Via Discrete Optimization

Advanced Functional Materials, EarlyView.
Mechanical metamaterials are computationally optimized to homogenize transmitted forces by minimizing the spread of reaction forces. The resulting architectures transform localized loading into broader, more uniform force distributions and experimentally demonstrate robust load spreading under quasi‐static and impact loading.
Andrea Detry, Hannes Holey, Raja Zulkarnain, Roberto Guerra, Ilaria Papa, Michael Zaiser, Stefano Zapperi   +6 more
wiley   +1 more source

Comparative Analysis of the Mechanical Performance of Timber Flat Truss Typologies for Different Strength Classes via Optimization Algorithm

Buildings, 2023
This study aimed to compare the mechanical performance of two truss typologies, the modified Fan and Howe trusses, using five different wood species: Cambará-rosa, Cupiúba, Angelim-pedra, Garapa, and Jatobá.
Matheus Henrique Morato de Moraes, Iuri Fazolin Fraga, Isabella Silva Menezes, Francisco Antonio Rocco Lahr, Tulio Hallak Panzera, Rodrigo Teixeira Santos Freire, Alfredo Manuel Pereira Geraldes Dias, Herisson Ferreira dos Santos, Emerson Faustino, Wanderlei Malaquias Pereira Junior, André Luis Christoforo   +10 more
doaj   +1 more source

Embedded Direct Ink Writing of Thermoset and Elastomeric Polymers via Frontal Polymerization

Advanced Functional Materials, EarlyView.
Embedded frontal polymerization direct ink writing (FP‐DIW) combines frontal ring‐opening metathesis polymerization with embedded 3D printing to decouple deposition from curing. A yield‐stress support bath stabilizes low‐viscosity inks, while on‐demand thermal initiation enables controlled front propagation. This approach expands the accessible feature
Mohammad Tanver Hossain, Yun Seong Kim, Pallab Layak, Pranav Krishnan, Young bum Lee, Minjiang Zhu, Shubh Singh, Philippe H. Geubelle, Paul V. Braun, Jeffery W. Baur, Nancy R. Sottos, Sameh H. Tawfick, Randy H. Ewoldt   +12 more
wiley   +1 more source

Deep Learning Network‐Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration

Advanced Science, EarlyView.
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang, Yuechi Zhang, Weifeng Hu, Shiyan Lv, Fan Jia, Yan Zhang, Feng Wu, Changjiang Yang, Guanqi Zhen, Jinglong Yan, Xu Cui, Wei Zhao, Guanghua Chen   +12 more
wiley   +1 more source