Results 171 to 180 of about 154,207 (310)

Discussion of the article “Prediction of creep of recycled aggregate concrete using back‐propagation neural network and support vector machine”

, 2023
Structural Concrete, EarlyView.
Nikola Tošić, Albert de la Fuente, Snežana Marinković   +2 more
wiley   +1 more source

Mechanical Behaviour of Vacuum‐Infused GFRP Composites at Elevated Temperatures—Influence of Fibre Architecture

Fire and Materials, EarlyView.
ABSTRACT This study addresses the influence of fibre architecture on the mechanical properties of vacuum‐infused glass fibre reinforced polymer (GFRP) composites at elevated temperatures (ET). Laminates with three different fibre configurations—unidirectional (UD), bidirectional 0°/90° cross‐ply (BD), and ±45° off‐axis angle‐ply (OA) – were tested in ...
Eloísa Castilho, João P. Firmo, Mário Garrido, João R. Correia, Afonso Ataíde   +4 more
wiley   +1 more source

Discussion on “Explicitly quantifying the effect of bond stress on the failure of reinforced concrete membranes” by Fei Geng, Chao Xu, and Zengping Wen [structural concrete, 2023, DOI: 10.1002/suco.202200561]

, 2023
Structural Concrete, EarlyView.
Nicola Gehri, Walter Kaufmann
wiley   +1 more source

Machine learning based optimization of fly ash content for improving geopolymer concrete compressive strength. [PDF]

Sci Rep
Sichani MN, Dehkordi OM, Khorshidi M, Teimortashlu A, Nejatipour P.   +4 more
europepmc   +1 more source

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

FlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu, Zicao Peng, Chong Sun, Haitao Yang   +3 more
wiley   +1 more source

High-Performance Capacitive Ultrasonic Transducer for Non-Destructive Testing of Concrete Compressive Strength. [PDF]

Sensors (Basel)
Zhang W, Yang J, Ren L, Dou H, Chen X, Jia H, Mao Y, Zhang J, Xu W, Zhou H, Mu X.   +10 more
europepmc   +1 more source

Real-time prediction of early concrete compressive strength using AI and hydration monitoring. [PDF]

Sci Rep
Marchewka A, Ziolkowski P, García Galán S.   +2 more
europepmc   +1 more source

CFD Analysis of Dual‐Layer PCM Roofs for Thermal Mitigation in Residential Buildings

Heat Transfer, EarlyView.
ABSTRACT This study presents a computational fluid dynamics analysis of dual‐layer phase change material (PCM) roofs for passive cooling in residential buildings under the hot and humid climate of Bangladesh. A three‐dimensional transient model was developed in ANSYS Fluent using the enthalpy–porosity approach to simulate coupled heat conduction ...
Mohammad Junaid, Sakhawat Hossan Robel, Mahmud Or‐Rashid, Pabel Shahrear, Md Shajedul Karim, Suvash C. Saha, Goutam Saha   +6 more
wiley   +1 more source

Artificial bee colony optimized random forest model for prediction of fly ash concrete compressive strength. [PDF]

MethodsX
Bali M, Mishra VP, Yenkikar A.
europepmc   +1 more source

The Black‐Box of ESG Scores From Rating Agencies: Do They Genuinely Reflect Sustainability Practices, or Are They Disproportionately Shaped by Financial Performance?

International Journal of Finance &Economics, EarlyView.
ABSTRACT This study examines the environmental, social and governance (ESG) scoring methodologies used by Bloomberg and S&P Global through the lens of Data Envelopment Analysis (DEA). It addresses a notable gap in the literature by identifying the underlying factors that shape ESG scores and providing practical insights for companies seeking to ...
Philipe Balan, Jorge Antunes, Peter Wanke, Yong Tan, Ali Meftah Gerged   +4 more
wiley   +1 more source