Results 81 to 90 of about 42,323 (351)

Prediction of Creep Concrete in Lightweight Concrete with Pumice as Coarse Aggregate

Rekayasa Sipil
Concrete creep is the additional strain that develops in concrete under constant stress over time. In this study, lightweight concrete is created by entirely replacing coarse aggregate with pumice to reduce the concrete's overall weight.
Chairah Maulidyah, Wisnumurti, Desy Setyowulan   +2 more
doaj   +1 more source

Engineering properties of polystyrene aggregate concrete [PDF]

, 1998
University of Technology, Sydney. Faculty of Engineering.The project reported in this thesis was concerned with the ultilization of re-cycled polystyrene granulates as lightweight aggregate for use in concrete.
Sabaa, Benjamin Ashong
core  

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

The influence of OPC and PPC on compressive strength of ALWA concrete

MATEC Web of Conferences, 2018
Lightweight concrete is one of the options used in construction in lieu of the traditional normal-weight concrete. Due to its lightweight, it provides lighter structural members and thus, it reduces the total weight of the structures.
Diajeng Aryani Fedya, Tavio, Gusti Putu Raka I, Puryanto   +3 more
doaj   +1 more source

Empirical Equation for Mechanical Properties of Lightweight Concrete Developed Using Bottom Ash Aggregates

International Journal of Concrete Structures and Materials, 2022
The mechanical properties of lightweight aggregate concrete developed with the use of bottom ash aggregate (LWAC-BA) as a partial or full replacement of lightweight aggregate differ from those of general lightweight concrete made using natural fine and ...
Hye-Jin Lee, Sanghee Kim, Hak-Young Kim, Ju-Hyun Mun, Keun-Hyeok Yang   +4 more
doaj   +1 more source

Pumping Lightweight Aggregate Concrete

Journal of the Society of Materials Science, Japan, 1969
In Japan the pumping of concrete is generally in practice in the building projects to save labor because of manpower shortage in the country. But there are some problems in pumping the concrete, especially of the lightweight aggregate concrete.It is the aim of this report to present information on the above mentioned problems which has been obtained ...
openaire   +2 more sources

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Analysis and observation of grid connected single phase inverter integration [PDF]

, 2020
A single-phase grid connected with a photovoltaic (PV) power system that will provide high voltage gain with state model analysis for the control of the system has been presented.
Ali Ateya, Ali Mohamed
core  

Evaluation of the techniques to mitigate early shrinkage cracking through an image analysis methodology [PDF]

, 2016
This is the accepted version of the following article: [Ruiz-Ripoll, L., Barragán, B. E., Moro, S., and Turmo, J. (2016) Evaluation of the Techniques to Mitigate Early Shrinkage Cracking through an Image Analysis Methodology. Strain, 52: 492–502. doi: 10.
Barragán, Bryan Erick, Moro, Sandro, Ruiz Ripoll, Lidia, Turmo Coderque, José   +3 more
core   +2 more sources

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source