Wael A. Altabey^*

Structural Durability & Health Monitoring, Vol.20, No.5, 2026, DOI:10.32604/sdhm.2026.079495 - 24 August 2026

Abstract The goal of this paper is to improve the monitoring of civil structures when we pair unmanned aerial vehicles (UAVs) technology with the current proposed algorithm, particularly to identify cracks in concrete structures. Typically, the current UAV methods are more about creating state maps of these structures, but they struggle with the impact of the drone’s movement on crack detection accuracy. This presents challenges for using intelligent systems for concrete crack detection. The current approach combines advanced technologies with a network of high-definition cameras mounted on inspection UAV systems and distributed in different parts of… More >

Mazaher Salamat-Talab^1,*, Hossein Kazemi^1,2, Mehdi Safari¹

Journal of Polymer Materials, Vol.43, No.2, 2026, DOI:10.32604/jpm.2026.074982 - 30 June 2026

Abstract Polymeric composite laminate materials have gained a prominent position in advanced industries because of their outstanding mechanical, thermal, and chemical properties. However, the lack of through-thickness reinforcement and the stress inconsistencies at the fiber-matrix interface result in weak out-of-plane properties and increase the delamination likelihood. Delamination is often a concealed form of damage that significantly diminishes the mechanical properties and long-term durability of laminated composites. Therefore, it is essential to recognize that, due to the significant shear stresses encountered in practical applications, a thorough understanding of delamination behavior under mode II loading is necessary. Also,… More >

Rong Wang¹, Zhilin Feng², Xinxin Cao^3,*, Jiangbo Qin⁴

Structural Durability & Health Monitoring, Vol.20, No.4, 2026, DOI:10.32604/sdhm.2026.078438 - 30 June 2026

Abstract To address the critical issues of low-temperature cracking and insufficient fatigue durability in high-content Recycled Asphalt Pavement (RAP) mixtures caused by aging-induced embrittlement, this study aims to establish a cross-scale cracking resistance evaluation system ranging from binder rheological properties to mixture failure behavior. This research selected various RAP contents (15%–60%) and rejuvenator dosages (0%–12%) to quantify the fatigue damage evolution of rejuvenated binders using Linear Amplitude Sweep (LAS) tests combined with the Viscoelastic Continuum Damage (VECD) model. Furthermore, Semi-Circular Bend (SCB) tests were employed under two loading modes—low-temperature (−12°C) monotonic loading and intermediate-temperature (20°C) cyclic… More >

Jiangbo Wu^1,*, Ke Yang¹, Qincheng Bi², Heyao Sun¹, Xi Song¹

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.5, 2026, DOI:10.32604/fdmp.2026.079152 - 27 May 2026

Abstract Background: Conjugate heat transfer in supercritical hydrocarbon fuels within microchannels is strongly influenced by sharp thermophysical property variations and chemical reactions, posing significant challenges for accurate numerical prediction. To address this, a high-fidelity solver is developed within the OpenFOAM framework, incorporating detailed reaction mechanisms and demonstrating robust stability under steady supercritical conditions. In particular, to mitigate numerical oscillations and accuracy loss in the pseudo-critical region, a high-order variable-property transport model, based on an eight-segment, seventh-order polynomial formulation, is introduced and integrated in the solver. This model is tightly coupled with the Peng–Robinson equation of state and… More >

Jiangbo Wu^*, Xi Song, Ke Yang, Heyao Sun

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.4, 2026, DOI:10.32604/fdmp.2026.079762 - 07 May 2026

Abstract To investigate transient flow instabilities in parallel-channel regenerative cooling systems subjected to nonuniform heat flux, a three-dimensional transient numerical model was developed to couple variations in supercritical fluid thermophysical properties with endothermic pyrolysis kinetics. The spatiotemporal evolution of RP-3 fuel within parallel channels was analyzed, and the role of a midstream interconnection structure in mitigating flow maldistribution was clarified. During the initial heating stage, the viscosity reduction of the supercritical fuel produced a drag-reduction effect that temporarily maintained a nearly uniform flow distribution. As the wall temperature increased and the pseudocritical region approached, the sharp… More >

Rafael de Oliveira Silva^1,2,*, Roberto Outa³, Fábio Roberto Chavarette⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.1, 2026, DOI:10.32604/cmes.2026.080607 - 27 April 2026

Abstract The reliable detection of cracks in engineering materials remains a fundamental challenge in nondestructive testing, especially in applications that require automated inspection, reduced instrumentation costs, and robustness under noisy operational conditions. Traditional nondestructive evaluation techniques often rely on complex sensing setups or expert-dependent interpretation, which can limit scalability and real-time applicability. In this context, this study addresses the scientific problem of achieving reliable and automated crack detection using simplified sensing architectures combined with intelligent data-driven analysis. This work proposes an intelligent signal classification framework for crack detection in polymeric materials based on machine learning and… More >

Yousef Lafi A. Alshammari^1,2, Muhammad Khan^1,*, Hilal Doganay Kati^1,3

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.1, 2026, DOI:10.32604/cmes.2026.079258 - 27 April 2026

Abstract Cracks can severely degrade the integrity and service performance of plate structures. Although most existing studies focus on identifying straight crack patterns using dynamic response data, curved crack paths have received far less attention, despite being more realistic in practice and having a stronger influence on structural behaviour. This study presents a computational and experimental framework for analyzing and identifying curved crack paths in cantilever plate structures based on dynamic response characteristics. Curved crack paths are modelled using second-order polynomial equations. Finite Element Analysis (FEA) is employed to evaluate the effects of polynomial coefficients and… More >

Yang Lei^1,2, Kangshuo Zhu^3,4,*, Bo Jiang¹, Yaodong Wang^3,4, Feiyu Jia¹, Zhaoning Wang¹, Falin Qi¹, Qiming Qu¹

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.077314 - 09 April 2026

Abstract The safe operation of railway systems necessitates efficient and automated inspection of tunnel defects. While deep learning offers solutions, a clear pathway for selecting and optimizing the latest object detectors for distinct defects under strict speed constraints is lacking. This paper presents a two-stage, task-specific framework for high-speed tunnel defect detection. First, this study conducts a comprehensive comparative analysis of state-of-the-art YOLO models (YOLOv5s, YOLOv8s, YOLOv10s, YOLOv11s) on self-constructed datasets. This systematic comparison identifies YOLOv5s as the optimal model for crack detection, achieving an mAP@0.5 of 0.939 at 77.5 FPS, sufficient for inspection at 50… More >

Xianghui Li^1,2, Xin Fu³, Libo Pan², Fancong Zeng^1,2,*, Zhijiang Zuo^1,2

Structural Durability & Health Monitoring, Vol.20, No.2, 2026, DOI:10.32604/sdhm.2025.073124 - 31 March 2026

Abstract The present study proposes an autonomous visual inspection system based on Wall-Climbing Robot (WCR), with a view to addressing the shortcomings of traditional building crack detection methods, namely their low measurement accuracy, high manual dependence and insufficient environmental adaptability. The system has been developed to construct a crack recognition model with robust illumination adaptation by fusing the improved YOLOv5s target detection algorithm with the Canny edge enhancement algorithm. The system has been realized as a lightweight deployment on an embedded device (MaixCAM). The robot platform employs a design scheme integrating a dual-chamber negative pressure adsorption… More >

Shouyang Huang^*, Hong Zheng, Xuguang Yu, Ziheng Li, Zhiwei Pan

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.075929 - 30 March 2026

Abstract Functionally graded material (FGM) plates are widely used in various engineering structures owing to their tailor-made mechanical properties, whereas cracked homogeneous plates constitute a canonical setting in fracture mechanics analysis. These two classes of problems respectively embody material non-uniformity and geometric discontinuity, thereby imposing more stringent requirements on numerical methods in terms of high-order field continuity and accurate defect representation. Based on the classical Kirchhoff–Love plate theory, a numerical manifold method (MLS-NMM) incorporating moving least squares (MLS) interpolation is developed for bending analysis of FGM plates and fracture simulation of homogeneous plates with defects. The… More >