Qi Feng^1,2, Dan Wang^3,*, Weijie Hu¹, Wenhao Zhao²

Structural Durability & Health Monitoring, Vol.20, No.2, 2026, DOI:10.32604/sdhm.2025.072968 - 31 March 2026

Abstract Engineered Cementitious Composites (ECC) represent an advanced class of fiber-reinforced cement-based materials developed over the past three decades, characterized by remarkable tensile strain-hardening and multiple-cracking behavior. By incorporating hybrid fibers, Hybrid Fiber engineered cementitious composites (HFECC) can be tailored to meet specific engineering demands in terms of strength, deformation, dynamic mechanical performance, and cost-effectiveness. This paper provides a comprehensive review of the critical fiber volume theory, experimental investigations into quasi-static and dynamic mechanical properties, and the structural performance of HFECC. Furthermore, current research gaps and future directions for the development and application of HFECC are More >

Niken Chatarina^*, Suyadi Suyadi, Noorhidana Vera Agustriana, Chairani Zilia, Mariyanto Mariyanto

Structural Durability & Health Monitoring, Vol.20, No.2, 2026, DOI:10.32604/sdhm.2026.067525 - 31 March 2026

Abstract In strong aggressive areas, Indonesian standards specify a maximum penetration of 30 mm. Concrete utilizes sulfate-resistant Portland Pozzolan Cement (PPC) for a target strength of 30 MPa, with and without silica fume and plastic fiber (SR-SFF-sea and SR-N-SFF). Some samples of SR-N-SFF are immersed in the sea (SR-N-SFF-sea), while others are protected (SR-N-SFF-protected). Additionally, concrete using non-sulfate-resistant cement (NSR-sea) with a strength of 20.75 MPa was also evaluated. All samples were subjected to penetration depth testing according to the DIN EN 12390-8 standard, demonstrating that they met the penetration requirements for intense aggression. The study… More > Graphic Abstract

Faiz Rahman, Rafidah Md Salim^*, Janshah Mohktar

Journal of Renewable Materials, Vol.14, No.2, 2026, DOI:10.32604/jrm.2026.02025-0066 - 25 February 2026

Abstract The growing demand for renewable energy has increased the use of wood pellets as a clean and efficient biomass fuel. This study aims to evaluate the physical properties of wood pellets produced from Acacia hybrid (AC) veneer waste and Pine wood (PW) waste mixed with varying ratios. The objectives are to investigate the effect of different blend ratios of Acacia hybrid veneer waste and pine wood waste on the physical properties, specifically moisture content, density, and pellet durability index (PDI) of wood pellets, and to identify the optimal ratio that yields the most desirable pellet quality. The… More >

Kang-Jia Wang¹, Hongzhi Zhang², Runsheng Lin^3,*, Jiabin Li⁴, Xiao-Yong Wang^1,5,*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.074787 - 29 January 2026

Abstract Conventional low-carbon concrete design approaches have often overlooked carbonation durability and the progressive loss of cover caused by surface scaling, both of which can increase the long-term risk of reinforcement corrosion. To address these limitations, this study proposes an improved design framework for low-carbon slag concrete that simultaneously incorporates carbonation durability and cover scaling effects into the mix proportioning process. Based on experimental data, a linear predictive model was developed to estimate the 28-day compressive strength of slag concrete, achieving a correlation coefficient of R = 0.87711 and a root mean square error (RMSE) of… More >

A. X. Yang^a, L. F. Huang^b,*, Y. Y. Liu^c

Chalcogenide Letters, Vol.22, No.7, pp. 649-663, 2025, DOI:10.15251/CL.2025.227.649

Abstract An innovative flexible electronic device was developed by integrating functionalized carbon nanotubes, bismuth sulfide nanostructures, and a polyvinylidene fluoride matrix to create a highly water‐resistant strain detection platform. The fabricated film exhibited a remarkable static water contact angle of 141°, with only a 3–4° reduction after 48 hours of immersion, confirming its excellent hydrophobic performance. Mechanical testing revealed a tensile strength of 43.2 MPa and maintained over 96% of its original strength following 1000 bending cycles, thereby demonstrating outstanding durability under repetitive deformation. Electrical characterization showed an initial conductivity of 12.3 S/m and a baseline resistance near… More >

Abdullah Alariyan¹, Rawand A. Mohammed Amin², Ameen Mokhles Youns³, Mahmoud Alhashash⁴, Favzi Ghreivati⁵, Ahed Habib^6,*, Maan Habib⁷

Structural Durability & Health Monitoring, Vol.19, No.6, pp. 1387-1410, 2025, DOI:10.32604/sdhm.2025.069821 - 17 November 2025

Abstract Artificial intelligence (AI) is transforming the building and construction sector, enabling enhanced design strategies for achieving durable and sustainable structures. Traditional methods of design and construction often struggle to adequately predict building longevity, optimize material use, and maintain sustainability throughout a building’s lifecycle. AI technologies, including machine learning, deep learning, and digital twins, present advanced capabilities to overcome these limitations by providing precise predictive analytics, real-time monitoring, and proactive maintenance solutions. This study explores the benefits of integrating AI into building design and construction processes, highlighting key advantages such as improved durability, optimized resource efficiency,… More >

Yidong Xu¹, Weijie Zhuge^1,2, Jialei Wang¹, Xiaopeng Yu^3,*, Kan Wu⁴

Structural Durability & Health Monitoring, Vol.19, No.6, pp. 1507-1527, 2025, DOI:10.32604/sdhm.2025.069021 - 17 November 2025

Abstract The performance of concrete can be affected by many factors, including the material composition, environmental conditions, and construction methods, and it is challenging to predict the performance evolution accurately. The rise of artificial intelligence provides a way to meet the above challenges. This article elaborates on research overview of artificial neural network (ANN) and its prediction for concrete strength, deformation, and durability. The focus is on the comparative analysis of the prediction accuracy for different types of neural networks. Numerous studies have shown that the prediction accuracy of ANN can meet the standards of the More >

Xiaobo Jiang, Hongchao Zheng^*

Structural Durability & Health Monitoring, Vol.19, No.6, pp. 1695-1716, 2025, DOI:10.32604/sdhm.2025.063890 - 17 November 2025

Abstract Construction failures caused by unforeseen circumstances, such as natural disasters, environmental degradation, and structural weaknesses, present significant challenges in achieving durability, safety, and sustainability. This research addresses these challenges through the development of advanced emergency rescue systems incorporating wood-derived nanomaterials and IoT-enabled Structural Health Monitoring (SHM) technologies. The use of nanocellulose which demonstrates outstanding mechanical capabilities and biodegradability alongside high resilience allowed developers to design modular rescue systems that function effectively even under challenging conditions while providing real-time failure protection. Experimental data from testing showed that the replacement system strengthened load-bearing limits by 20% while… More >

Xiwei Wang¹, Wanrun Li^1,2,3,*, Wenhai Zhao¹, Yining Wang¹, Yongfeng Du^1,2,3

Structural Durability & Health Monitoring, Vol.19, No.5, pp. 1241-1263, 2025, DOI:10.32604/sdhm.2025.063736 - 05 September 2025

Abstract To address the vibration issues of wind turbine towers, this paper proposes a bidirectional tuned bellow liquid column damper (BTBLCD). The configuration of the proposed BTBLCD is first described in detail, and its energy dissipation mechanism is derived through theoretical analysis. A refined dynamic model of the wind turbine tower equipped with the BTBLCD is then developed. The vibration energy dissipation performance of the BTBLCD in multiple directions is evaluated through two-way fluid-structure coupling numerical simulations. Finally, a 1/10 scaled model of the wind turbine tower is constructed, and the energy dissipation performance of the… More >

Alin Diniță¹, Cosmina-Mihaela Rosca², Maria Tănase^1,*, Adrian Stancu³

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 147-199, 2025, DOI:10.32604/cmes.2025.066276 - 31 July 2025

Abstract Fiber-reinforced polymer (FRP) composites are renowned for their high mechanical strength, durability, and lightweight properties, making them integral to civil engineering, aerospace, and automotive manufacturing. Traditionally, the simulation and optimization of FRP materials have relied on finite element (FE) methods, which, while effective, often fall short in capturing the intricate behaviors of these composites under diverse conditions. Concrete examples in this regard involve modeling interfacial cracks, delaminations, or environmental effects that involve nonlinear phenomena. These degradation mechanisms exceed the capacity of classical FE models, as they are not detailed to the required level of detail.… More > Graphic Abstract