Results 101 to 110 of about 99,166 (313)

Flexural Behaviour Of High Performance Slurry Infiltrated Fiber Reinforced Concerete With Different Curing Method. [PDF]

, 2013
In the conventional steel fiber reinforced concrete, the structure is fabricated by combining steel fiber to the concrete mix. By using this method, the volume fraction of fiber is limited.
Abd. Aziz, Farah Nora Aznieta, Abdul Rahim, Mustaqqim, Md Ghazaly, Zuhayr, Mohamad Ibrahim, Norlia, Shahidan, Shahiron   +4 more
core  

Study on residual behaviour and flexural toughness of fibre cocktail reinforced self compacting high performance concrete after exposure to high temperature [PDF]

, 2012
This paper analyzed the effect of different fibres on the residual compressive strength, the ultimate load and flexural toughness, the failure pattern and the fracture energy of self compacting high-performance concrete (SCHPC) after exposure to various ...
Aguiar, J. L. Barroso de, Azevedo, Cecília Maria, Ding, Yining, Jalali, Said   +3 more
core   +1 more source

Investigating Phase Separation in Genome Folding via Multiscale Computational Modeling

Advanced Science, EarlyView.
Phase separation is emerging as a multiscale organizing principle of genome folding across scales, from nucleosomes and transcriptional condensates to chromatin domains and nuclear compartments. By integrating physics‐based simulations with data‐driven inference, computational modeling now links molecular interactions to nuclear architecture and points
Jiahu Tang, Cibo Feng, Haibin Su, Xiakun Chu   +3 more
wiley   +1 more source

Fiber Reinforced Concrete (FRC)

International Journal for Research in Applied Science and Engineering Technology
A detailed experimental investigation was conducted on the use of natural fibers—bamboo fiber, coconut fiber, and human hair fiber—as reinforcing agents in concrete. The primary aim was to explore their feasibility as sustainable, costeffective, and eco-friendly alternatives to synthetic fibers like polypropylene or steel.
Mr. Amit Kumar, Mr. Shubham Singh
openaire   +1 more source

Fracture energy of steel fiber-reinforced concrete [PDF]

, 2001
Steel fiber-reinforced concrete (SFRC) is a cementitious material reinforced with discrete fibers. The energy absorption capacity is the main material property benefited by fiber reinforcement.
Barros, Joaquim A. O., Sena-Cruz, José
core   +1 more source

Safety of Sodium‐Ion Batteries: Evaluation and Perspective from Component Materials to Cells, Modules, and Packs

Advanced Energy Materials, EarlyView.
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim, Seoa Kim, Erik A. Wu, Darren H. S. Tan, Shawn Peng, Xiaolin Li   +5 more
wiley   +1 more source

Vegetable fibre reinforced concrete composites: a review [PDF]

, 2009
The current manuscript deals with the subject of natural fiber reinforced concrete. It includes fiber characteristics, properties and the description of the treatments that improve their performance; it covers the compatibility between the fibers and the
Jalali, Said, Pacheco-Torgal, F.
core  

Ground supported short fiber reinforced concrete industry plate [PDF]

, 2016
The present paper describes the elastic theory and Losberg Yield Line theory with plastic approach of solution. The finite element method for modeling of fiber reinforced concrete plates placed on Winkler foundation was used. There is presented Tsai and
Kormaníková, Eva
core   +2 more sources

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source