Results 71 to 80 of about 2,593,043 (289)

Strength Prediction Model for Accelerated Cured Fly-Ash Based Concrete

Mehran University Research Journal of Engineering and Technology, 2019
The most important property of concrete is its compressive strength, which is carried out after 28-days proper curing of concrete. This test is affected by other factors like the condition of curing, water to cement ratio, method of transportation ...
Muhammad Adil Khan, Mahboob Ali Chowdhry, Asjad Javed, Mohammad Laeeque Ahmed, Hummaira Kanwal   +4 more
doaj  

Enhancing Concrete Strength: The Impact of Silica Admixture [PDF]

E3S Web of Conferences
Researchers set out to determine if and by what margins Nano silica reduces the compressive strength of concrete. From seven percent to seventeen percent, silica was an ingredient in the concrete mixture. The mix design for M20 grade concrete was cast in
Aakash, Vashistha Kapil, Kumar Saurabh, Kumar Soni Saurabh   +3 more
doaj   +1 more source

The Compressive Strength of Light Weight Concrete

International Journal of Engineering Sciences, 2020
The compressive strength of lightweight concrete using palm kernel shell (pks) and periwinkle shell (pws) is reported. The strength as a function of aggregates ,age, and density were investigated. The strengths were measured at interval of 7-day for 28 days.
J.E.O. Ovri, E.O. Okereke
openaire   +1 more source

Helix Alignment, Chevrons, and Edge Dislocations in Twist‐Bend Ferroelectric Nematics

Advanced Science, EarlyView.
The recently discovered twist‐bend ferroelectric nematic (NTBF) is the new member of the multiferroic family, representing a fluid with an oblique helicoidal (heliconical) periodic structure of spontaneous electric polarization. The work presents a thorough exploration of the material properties of this phase, how the periodic modulation of ...
Bijaya Basnet, Priyanka Kumari, Sathyanarayana Paladugu, Damian Pociecha, Jakub Karcz, Przemysław Kula, Nataša Vaupotič, Ewa Górecka, Oleg D Lavrentovich   +8 more
wiley   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Optimised Mix Design for Normal Strength and High Performance Concrete Using Particle Packing Method

Archives of Civil Engineering, 2011
This paper presents the details of optimized mix design for normal strength and high performance concrete using particle packing method. A critical review of mix design methods have been carried out for normal strength concrete using American Concrete ...
Gopinath S., Murthy A. Ramachandra, Ramya D., Iyer Nagesh R.   +3 more
doaj   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Palm Oil Fuel Ash (POFA) and Eggshell Powder (ESP) as Partial Replacement for Cement in Concrete

E3S Web of Conferences, 2018
This study is an attempt to partially replace Ordinary Portland cement (OPC) in concrete with palm oil fuel ash (POFA) and eggshell powder (ESP). The mix proportions of POFA and ESP were varied at 10% of cement replacement and compared with OPC concrete ...
Mohamad Mazizah Ezdiani, Mahmood Ali A., Yik Yee Min Alicia, A.R. Nur Nadhira   +3 more
doaj   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source

Ductilityof fiber-reinforcedself-consolidatingconcreteundermulti-axial compression [PDF]

, 2011
The results of 12 multi-axial compression tests performed on cylinders made of self-consolidating concrete, plain (SCC) and reinforced with steel fibers (FR-SCC), are presented.
Paolo Vallini, Fantilli, Alessandro Pasquale, Vallini, Paolo, Alessandro P. Fantilli, Chiaia, Bernardino, Bernardino Chiaia   +5 more
core   +1 more source