Chao Luo¹, Zhengsong Xiang^1,2, Yin Zhou^1,*, Dingsong Qin³, Tianlei Cheng⁴, Qizhi Tang¹

Structural Durability & Health Monitoring, Vol.19, No.3, pp. 683-703, 2025, DOI:10.32604/sdhm.2025.061549 - 03 April 2025

Abstract Failure tests were conducted on two concrete-filled steel tubular (CFST) truss arch bridges with a span of approximately 12 m to investigate the influence of initial geometric defects on the in-plane bearing capacity of CFST truss arch bridges. The effects of antisymmetric defect on the ultimate bearing capacity, failure mode, structural response, and steel–concrete confinement effect of CFST truss arch bridges under quarter-point loading were analyzed. On this basis, numerical simulations were conducted to investigate the in-plane bearing capacity of CFST truss arch bridges further under different scenarios. The initial defect form of the arch… More >

Yueshun Chen^1,2,*, Yupeng Zhou¹, Cao Yin³

Structural Durability & Health Monitoring, Vol.19, No.3, pp. 575-592, 2025, DOI:10.32604/sdhm.2024.057005 - 03 April 2025

Abstract Computed tomography (CT) can inspect the internal structure of concrete with high resolution, but improving the accuracy of measurements remains a key challenge due to the reliance on complex image processing and significant manual intervention. This study aims to optimize CT scanning parameters to enhance the accuracy of measuring crack widths and rebar volumes in reinforced concrete. Nine sets of specimens, each with varying rebar diameters and concrete cover thicknesses, were scanned before and after corrosion using an Optima CT scanner, followed by three-dimensional reconstructions using Avizo software. The effects of threshold values and “Erosion” More >

Farah Mohammad^1,2,*, Saad Al-Ahmadi³, Jalal Al-Muhtadi^1,3

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 1327-1345, 2025, DOI:10.32604/cmc.2025.060228 - 26 March 2025

Abstract Software defect prediction is a critical component in maintaining software quality, enabling early identification and resolution of issues that could lead to system failures and significant financial losses. With the increasing reliance on user-generated content, social media reviews have emerged as a valuable source of real-time feedback, offering insights into potential software defects that traditional testing methods may overlook. However, existing models face challenges like handling imbalanced data, high computational complexity, and insufficient integration of contextual information from these reviews. To overcome these limitations, this paper introduces the SESDP (Sentiment Analysis-Based Early Software Defect Prediction)… More >

Tajmal Hussain, Jongwon Seok^*

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 231-250, 2025, DOI:10.32604/cmes.2024.056621 - 17 December 2024

Abstract Smart manufacturing and Industry 4.0 are transforming traditional manufacturing processes by utilizing innovative technologies such as the artificial intelligence (AI) and internet of things (IoT) to enhance efficiency, reduce costs, and ensure product quality. In light of the recent advancement of Industry 4.0, identifying defects has become important for ensuring the quality of products during the manufacturing process. In this research, we present an ensemble methodology for accurately classifying hot rolled steel surface defects by combining the strengths of four pre-trained convolutional neural network (CNN) architectures: VGG16, VGG19, Xception, and Mobile-Net V2, compensating for their… More >

Sameh M. Said^1,2,*, Kristin C. Greathouse³, Christina McCarthy³, Megan Khan³, Molly Hagen⁴, Nicholas Brown⁵, Sacha Kumar⁵, Mahmoud I. Salem⁶, James Flaherty⁷, Yasin Essa¹

Congenital Heart Disease, Vol.19, No.6, pp. 563-575, 2024, DOI:10.32604/chd.2025.061819 - 27 January 2025

Abstract Objective: Vertical right thoracotomy (VRAT) has become an alternative to sternotomy for the repair of non-complex congenital heart defects in our infants and children. Summary Background Data: Limited data exists on the comparison of the two approaches. Methods: The present study consisted of two groups; Group I: (sternotomy; 33 patients) and Group II: (VRAT; 35 patients). We compared the two groups on operative data, hours of invasive lines, narcotics used, length of stay, and total variable cost of stay. Results: The most frequent procedures were atrial and ventricular septal defect closure (25 patients, 75.8% in Group I)… More >

Chenghai Yu, Zhilong Lu^*

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 3261-3280, 2024, DOI:10.32604/cmc.2024.056413 - 18 November 2024

Abstract Railway turnouts often develop defects such as chipping, cracks, and wear during use. If not detected and addressed promptly, these defects can pose significant risks to train operation safety and passenger security. Despite advances in defect detection technologies, research specifically targeting railway turnout defects remains limited. To address this gap, we collected images from railway inspectors and constructed a dataset of railway turnout defects in complex environments. To enhance detection accuracy, we propose an improved YOLOv8 model named YOLO-VSS-SOUP-Inner-CIoU (YOLO-VSI). The model employs a state-space model (SSM) to enhance the C2f module in the YOLOv8… More >

Rongzhuang Song¹, Yinbo Zhu^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.012598

Abstract Kink defects are prevalent in nanocellulose. The existence of diverse kink patterns lacking molecular-scale resolution has caused uncertainty regarding the mechanisms governing the formation of different kinks in nanocellulose, including both reversible and irreversible kinks. The constraints resulting from these limitations often lead to significant confusion in exploring the structure-property relationships of nanocellulose. By integrating AFM experiments with molecular dynamics simulations, we examined the microstructure-dependent kink deformations in nanocellulose (Iβ phase) and the resultant local microstructural damages. In atomic force microscopy images, bent nanofibrils typically display minor curvatures, whereas kinked nanofibrils exhibit pronounced sharp bends,… More >

Haowen Liang¹, Jiaming Bai^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.012563

Abstract Defects are pivotal in influencing the mechanical performance of the hydroxyapatite (HAp) porous structure. In vat photopolymerization (VP) fabrication, directly peeling HAp/polymer green structure from the platform is an efficient approach but often introduces defects, compromising the mechanical performance of sintered HAp scaffolds. The peeling process is a physical phenomenon where the photocured HAp/polymer green structure exhibits resistance against applied peeling forces, which is influenced by its modulus and toughness. In this study, the peeling behavior of cubic-pore HAp (CP-HAp) green structures with varying levels of modulus and toughness was investigated in detail. The characterization… More >

Sameh M. Said^1,2,*, Yasin Essa¹

Congenital Heart Disease, Vol.19, No.4, pp. 407-417, 2024, DOI:10.32604/chd.2024.055636 - 31 October 2024

Abstract Minimally invasive approaches for cardiac surgery in children have been lagging in comparison to the adult world. A wide range of the most common congenital heart defects in infants and children can be repaired successfully through a variety of non-sternotomy incisions. This has been shown to be associated with superior cosmetic results, shorter hospital stays, and rapid return to full activity compared to sternotomy. These approaches have been around for decades, but they have not been widely adopted for a variety of reasons. Right axillary thoracotomy is one of these approaches that we believe should More >

Yanxue Ma¹, Xiaoling Liu^1,*, Bing Wang², Ying Liu¹

Structural Durability & Health Monitoring, Vol.18, No.6, pp. 871-889, 2024, DOI:10.32604/sdhm.2024.052683 - 20 September 2024

Abstract In the bridge technical condition assessment standards, the evaluation of bridge conditions primarily relies on the defects identified through manual inspections, which are determined using the comprehensive hierarchical analysis method. However, the relationship between the defects and the technical condition of the bridges warrants further exploration. To address this situation, this paper proposes a machine learning-based intelligent diagnosis model for the technical condition of highway bridges. Firstly, collect the inspection records of highway bridges in a certain region of China, then standardize the severity of diverse defects in accordance with relevant specifications. Secondly, in order… More >