R. Amin^1,*, M. Rashad^2,*, A. A. Abu-Sehly³, Taymour A. Hamdalla², Ahmed S. Elshimy⁴

Chalcogenide Letters, Vol.23, No.6, 2026, DOI:10.32604/cl.2026.077357 - 02 July 2026

Abstract Cadmium (Cd) doping has enhanced the mineral properties, glass mesh, and movement traits of the Se₉₀Te₁₀ glassy alloy. The (Se₉₀Te₁₀)₉₅Cd₅ alloy has a strength 0.032 kN, accompanied by limited ductility, and displays brittle fracture behavior typical of amorphous chalcogenide glasses. (DSC) at varying heating rates was employed to examine the crystallization kinetics in bulk Se₉₀Te₁₀ and (Se₉₀Te₁₀)₉₅Cd₅ compositions; X-ray diffraction analysis was utilized to identify the crystalline structure of Se₉₀Te₁₀ and (Se₉₀Te₁₀)₉₅Cd₅, confirming the non-crystalline nature of both materials. Various kinetic frameworks were developed utilizing activation energies for glass transition and crystallization processes. “The Kissinger equation” was employed More >

Manish Kewalramani¹, Refka Ghodhbani², Arsalan Mahmoodzadeh^3,*, Abdulaziz Alghamdi⁴, Faten Khalid Karim⁵, Abed Alanazi⁶, Abdullah Alqahtani⁶, Shtwai Alsubai⁶, Mounir Ltifi⁷

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.3, 2026, DOI:10.32604/cmes.2026.084696 - 30 June 2026

Abstract Concrete manufacturing consumes vast quantities of natural resources and contributes significantly to environmental degradation and carbon emissions. Therefore, integrating recycled waste substances into concrete has become a crucial approach to fostering eco-friendly building practices and supporting circular economy concepts. This study investigates the potential of incorporating recycled aluminum beverage can crumbs (RABCC) as a partial replacement for natural coarse aggregates (NCA) in concrete mixtures, focusing on its impact on compressive strength (CS) and the feasibility of its application in structural concrete. A comprehensive experimental program was conducted to assess the mechanical properties of concrete with… More >

Soran Manguri^1,2, Kasim Mermerdaş¹, Briar Esmail^3,4, Ahmed Manguri^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.3, 2026, DOI:10.32604/cmes.2026.083537 - 30 June 2026

Abstract Geopolymer materials are increasingly recognized as sustainable alternatives to conventional cementitious materials due to their lower environmental impact and promising engineering performance. Recent studies have demonstrated that incorporating nanomaterials can further enhance the properties of geopolymer systems. In particular, nano-silica has been reported to significantly improve the mechanical performance of geopolymer materials. However, accurate prediction of compressive strength remains challenging because of the complex nonlinear interactions among mix design parameters, activator chemistry, and curing conditions. This study develops a machine learning framework to predict the 28-day compressive strength of nanosilica-modified hybrid geopolymer mortar using a… More >

Nayeemuddin Mohammed^1,2, Tahar Ayadat^1,2,*, Andi Asiz^1,2, Nadeem Pasha³

Structural Durability & Health Monitoring, Vol.20, No.4, 2026, DOI:10.32604/sdhm.2026.080495 - 30 June 2026

Abstract Significant efforts have been made to increase the strength of concrete by using industrial waste such as fly ash and steel slag as partial substitutes for concrete in concrete. However, predicting the concrete’s compressive strength is a challenge as it is influenced by several factors such as the shape and size of the aggregate, the water-ratio balance. This study examines the predictive capability of three deep learning models: Bagging Extreme Gradient Boosted Model (BXGBM), Deep Random Vector Functional Link (DRVFL), and Kernel Extreme Learning Machine (KELM) on the prediction for compressive strength of concrete. The… More >

Bin Chen¹, Wanli Cui^1,2, Wenhui Li³, Jiachen Yu⁴, Zhanzhan Tang^4,*

Structural Durability & Health Monitoring, Vol.20, No.4, 2026, DOI:10.32604/sdhm.2026.078200 - 30 June 2026

Abstract The outstanding performance of unplasticized polyvinyl chloride (UPVC) has led to its widespread use in urban underground pipeline systems. However, understanding the effects of high-temperature industrial wastewater on the buried pipes is very complicated. To investigate the influence of industrial wastewater on the safety of pipes, the mechanical properties were tested using the material specimens. The changes in mechanical properties caused by the environmental temperature and heat cycles were experimentally analyzed. Empirical formulas to predict the mechanical parameters of UPVC pipe material were proposed. The ultimate strength of underground urban pipes was numerically studied by More >

Pavlo Bekhta^1,2,*, Iryna Lytvyn¹

Journal of Renewable Materials, Vol.14, No.5, 2026, DOI:10.32604/jrm.2026.02026-0035 - 28 May 2026

Abstract The modification of melamine–urea–formaldehyde (MUF) adhesives with lignosulfonates (LS) represents a promising strategy for developing more sustainable wood-based panels. However, the influence of the counterion type remains poorly understood. In this study, the effect of lignosulfonate counterions on adhesives performance and properties of MUF-bonded particleboards was investigated, with a focus on sodium (NaLS) and magnesium (MgLS) lignosulfonates incorporated at 2.5%, 5.0%, and 7.5%. Adhesives performance was characterized by measuring dry solids content, dynamic viscosity, gelation time, and pH. The produced particleboards were evaluated in terms of density, bending strength, modulus of elasticity, internal bond strength… More > Graphic Abstract

Arslan Qayyum Khan¹, Muhammad Dawood Rasheed², Muhammad Huzaifa Naveed², Amorn Pimanmas^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.083654 - 27 May 2026

Abstract The construction industry’s substantial carbon footprint, primarily attributed to the production of Ordinary Portland Cement, necessitates a transition toward more sustainable alternatives. Geopolymer concrete (GPC), an innovative binder synthesized from industrial by-products like fly ash (FA), offers a promising low-carbon solution but is hindered by performance variability and a lack of standardized design protocols. This research addresses this critical barrier by developing robust predictive models for the compressive strength of FA-based GPC. Six machine learning algorithms, including Bagging, Categorical Boosting (CatBoost), K-Nearest Neighbors (KNN), LightGBM, Random Forest Regressor (RFR), and eXtreme Gradient Boosting (XGBoost), were… More >

Quynh-Anh Thi Bui^1,*, Son Hoang Trinh¹, Maryam Sayadi², Reza Khanali³

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.081794 - 27 May 2026

Abstract Geopolymer concrete has attracted increasing attention as a lower-carbon alternative to ordinary Portland cement concrete because it can utilize aluminosilicate-rich industrial by-products while still achieving satisfactory mechanical performance. However, the 28-day compressive strength of steel fiber-reinforced geopolymer concrete (SFGPC) is governed by multiple interacting mixture variables, which makes reliable prediction difficult, especially for medium-sized experimental datasets. This study developed an interpretable deep-learning framework to predict the 28-day compressive strength (CS28) of SFGPC using an original experimental dataset of 189 mixtures produced under a consistent laboratory protocol in Vietnam. The dataset covered nine mixture variables, including… More >

Zixuan Zong¹, Tingting Long¹, Huaqing Dong^1,*, Guoqiang Huang¹, Xiao Meng¹, Mohammadamin Azimi²

Structural Durability & Health Monitoring, Vol.20, No.3, 2026, DOI:10.32604/sdhm.2026.077489 - 18 May 2026

Abstract This paper proposes a novel approach for predicting the residual strength of corroded pipelines by combining the Kernel Extreme Learning Machine (KELM) with Sparrow Search Algorithm (SSA) optimization. The proposed SSA-KELM model addresses the limitations of traditional evaluation methods and single machine learning models in residual strength prediction. A dataset comprising 80 samples from burst tests and finite element simulations was used to validate the model. Results demonstrate that the SSA-KELM model achieves superior prediction accuracy with a maximum relative error of 13.54% and minimum relative error of 0.20%. The model’s mean absolute error (MAE), More >

Mustapha Hatoum¹, Alessandro P. Fantilli^1,*, Bernardino Chiaia¹, Georgios Kalamaras²

Structural Durability & Health Monitoring, Vol.20, No.3, 2026, DOI:10.32604/sdhm.2026.076141 - 18 May 2026

Abstract This study investigates the contribution of fibers to the durability of reinforced concrete tunnel linings. Two cast-in-situ tunnels are herein analyzed after twenty years of service. Tunnel #1, made with plain concrete and steel rebar, has shown significant spalling at joints between two consecutive tunnel panels, caused by poor workmanship and construction details. Conversely, in Tunnel #2, close to Tunnel #1 on the same motorway, fiber-reinforced concrete (FRC) was used in combination with steel rebar. During the service life, the amount of FRC spalled from the cold joints of this lining has been significantly lower than More >