Review on sensing technology adoption in the construction industry

M Arabshahi, D Wang, J Sun, P Rahnamayiezekavat… - Sensors, 2021 - mdpi.com
Sensing technologies demonstrate promising potential in providing the construction industry
with a safe, productive, and high-quality process. The majority of sensing technologies in the …

Prediction of thermo-mechanical properties of rubber-modified recycled aggregate concrete

W Feng, Y Wang, J Sun, Y Tang, D Wu, Z Jiang… - … and Building Materials, 2022 - Elsevier
The recycled aggregate (RA) and waste rubber particles (RPs) can be combined to prepare
rubber-modified recycled aggregate concrete (RRAC) effectively contributing to low-carbon …

On the modelling of the vibration behaviors via discrete singular convolution method for a high-order sector annular system

Y Liu, W Wang, T He, Z Moradi… - Engineering with …, 2022 - Springer
This research presents a numerical investigation on the dynamic information of the
axisymmetric sandwich annular sector plate via a higher-order continuum elasticity theory …

Nanomaterial efficacy on freezing of PCM with involvement of numerical simulation

HA Othman, H Rguigui, SH Altoum… - Journal of Molecular …, 2022 - Elsevier
To reduce the freezing time for a unit with curved walls which filled with water, nanoparticles
has been dispersed. The shapes of CuO nano-powder can affect the conductivity of mixture …

A couple of GDQM and iteration techniques for the linear and nonlinear buckling of bi-directional functionally graded nanotubes based on the nonlocal strain gradient …

P Wang, Z Gao, F Pan, Z Moradi, T Mahmoudi… - … Analysis with Boundary …, 2022 - Elsevier
This research studies the nonlinear buckling of two-dimensional functionally graded (2D-FG)
nanotubes with porosity based on the Zhang-Fu theory of tubes, Timoshenko beam theory …

A review study of application of artificial intelligence in construction management and composite beams

Y Cao, Y Zandi, AS Agdas, Q Wang, X Qian… - Steel and Composite …, 2021 - dbpia.co.kr
This paper is aimed to review the use of artificial intelligence (AI) algorithms in diverse civil
engineering applications such as predicting and evaluating the different parameters of …

[HTML][HTML] Application of artificial intelligence to evaluate the fresh properties of self-consolidating concrete

Y Feng, M Mohammadi, L Wang, M Rashidi, P Mehrabi - Materials, 2021 - mdpi.com
This paper numerically investigates the required superplasticizer (SP) demand for self-
consolidating concrete (SCC) as a valuable information source to obtain a durable SCC. In …

Inhibitor loaded functional HNTs modified coatings towards corrosion protection in reinforced concrete environment

Y Zhang, Y Qiang, H Ren, J Cao, L Cui, Z Zong… - Progress in Organic …, 2022 - Elsevier
In this work, the corrosion inhibitor sodium D-gluconate (SD) was successfully loaded into
halloysite nanotubes (HNTs). After that, SD-HNTs-A3@ CS/SA smart nanocontainers …

[HTML][HTML] Machine-learning-aided prediction of flexural strength and ASR expansion for waste glass cementitious composite

J Sun, Y Wang, X Yao, Z Ren, G Zhang, C Zhang… - Applied Sciences, 2021 - mdpi.com
Waste glass (WG) is unsustainable due to its nonbiodegradable property. However, its main
ingredient is silicon dioxide, which can be utilised as a supplementary cementitious material …

The use of GA and PSO in evaluating the shear strength of steel fiber reinforced concrete beams

J Huang, M Zhou, J Zhang, J Ren, NI Vatin… - KSCE Journal of Civil …, 2022 - Elsevier
Shear failure in concrete specimens and beams is one of the most sensitive cases in
construction projects. Since the shear strength of specimens is affected by various …