{"title":"Optimal structural design of helical springs with Ludwik-type elastic–plastic materials","authors":"Dongming Wei , Adilet Otemissov , Xinaer Mandaiye , Shubing Zhao","doi":"10.1016/j.apples.2025.100259","DOIUrl":"10.1016/j.apples.2025.100259","url":null,"abstract":"<div><div>Motivated by the limitations of idealized power-law assumptions in spring design, this work revisits the optimization of compressive helical springs using a more realistic Ludwik-type elastic–perfect plastic material model. Unlike earlier approaches, we explicitly incorporate the pitch angle in computing the total wire length, improving geometric accuracy. A unified root-solving algorithm is introduced to handle the Karush–Kuhn–Tucker conditions efficiently, eliminating the need for case-by-case treatment. The proposed design is benchmarked against the DIN standard, which is often overlooked in analytical studies. To ensure practical relevance, finite element simulations are performed in COMSOL and show good agreement with theoretical predictions. The combination of refined geometry, nonlinear mechanics, and comparative validation provides a more robust optimization framework that bridges theoretical modeling with engineering practice. We believe this approach offers new insight into spring design for advanced structural materials.</div></div>","PeriodicalId":72251,"journal":{"name":"Applications in engineering science","volume":"24 ","pages":"Article 100259"},"PeriodicalIF":2.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144926436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yiteng Li , Xupeng He , Shouxiang Mark Ma , Hyung Kwak , Hussein Hoteit
{"title":"Quantification of Surface Roughness Effect on NMR T2 Relaxation Using a Novel 3D Pore Surface Roughness Characterization Workflow","authors":"Yiteng Li , Xupeng He , Shouxiang Mark Ma , Hyung Kwak , Hussein Hoteit","doi":"10.1016/j.apples.2025.100258","DOIUrl":"10.1016/j.apples.2025.100258","url":null,"abstract":"<div><div>Evaluation of pore size distributions in porous rocks using Nuclear Magnetic Resonance (NMR) T<sub>2</sub> relaxation time typically assumes spherical pores with smooth surfaces. This simplification leads to inaccuracies by neglecting the impact of surface roughness on NMR T<sub>2</sub> relaxation. Previous studies have attempted to incorporate the surface roughness effect into surface relaxivity to reduce these systematic errors in the estimation of pore size distribution, but these methods are often sample-specific, thereby limiting their broader applicability. To overcome these limitations, we propose a novel image-based surface sourghness characterization workflow and develop a correlation to correct the shortened T<sub>2</sub> relaxation times in rough spherical pores. Unlike previous approaches, our method decouples the geometric impact of surface roughness from surface relaxivity, preserving the fast diffusion limit and enhancing generalizability. The workflow simplifies roughness characterization by transforming each 3D volumetric pore structure into roughness profiles, deriving a dimensionless pore roughness coefficient (PRC). Random walk simulations are then employed to compute T<sub>2</sub> relaxation times for various pore configurations. The T<sub>2</sub> correction factor is defined as the ratio of the T<sub>2</sub> relaxation times in rough pores to those in the corresponding spherical pores of the same volume. A nonlinear mapping between PRC and T<sub>2</sub> correction factor is established to correct the NMR T<sub>2</sub> relaxation time. Numerical results demonstrate that the proposed method accurately predicts the intrinsic pore radius, making it a practical postprocessing tool for extracting representative pore sizes from NMR T<sub>2</sub> relaxation times while accounting for surface roughness effects.</div></div>","PeriodicalId":72251,"journal":{"name":"Applications in engineering science","volume":"24 ","pages":"Article 100258"},"PeriodicalIF":2.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145020333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yongfa Guo , Wei Luo , Wenyun Ding , Yi He , Jinjing Yang , Yadong Xue
{"title":"EAPEM: An edge-aware-prototype-based efficient MaskFormer for identifying rock mass structure of cantilever roadheader tunnel face","authors":"Yongfa Guo , Wei Luo , Wenyun Ding , Yi He , Jinjing Yang , Yadong Xue","doi":"10.1016/j.apples.2025.100274","DOIUrl":"10.1016/j.apples.2025.100274","url":null,"abstract":"<div><div>The rapid and accurate identification of rock mass structures in tunnel face is a fundamental prerequisite for optimizing dynamic excavation strategies and ensuring safety decision-making in cantilever roadheader construction. To address the poor performance of existing image segmentation methods in handling fuzzy boundaries, texture interference, and data scarcity, this study proposes a novel semantic segmentation framework named edge-aware-prototype-based efficient MaskFormer (EAPEM). Built upon the MaskFormer architecture, EAPEM integrates an efficient multi-scale pixel decoder, a prototype-based masked cross-attention, and an edge-aware module to achieve collaborative optimization from global semantic parsing to local boundary refinement of tunnel face structures. Experimental results demonstrate that the proposed model achieves a mean pixel accuracy of 84.56 % and a mean intersection over union (mIoU) of 75.58 % with only a small number of high-quality training images, significantly outperforming existing segmentation networks. Specifically, the model achieves 93.54 % accuracy and over 85 % boundary IoU in karst cave recognition tasks, showing its significant advantage in handling complex boundary structures. The proposed EAPEM framework offers a lightweight, efficient, and edge-aware segmentation solution for rock structure identification under complex construction scenarios.</div></div>","PeriodicalId":72251,"journal":{"name":"Applications in engineering science","volume":"24 ","pages":"Article 100274"},"PeriodicalIF":2.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145528520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Enhancing geotechnical properties of Ulwe soil through waste plastic bottle fibers and nano zinc oxide stabilization","authors":"Maheboobsab B. Nadaf , Vedprakash Maralapalle , Sharanappagouda Kadabinakatti , Seema Jagtap","doi":"10.1016/j.apples.2025.100266","DOIUrl":"10.1016/j.apples.2025.100266","url":null,"abstract":"<div><div>Soil stabilization is a critical aspect of foundation engineering that improves subgrade soils' durability and load-bearing capacity. This study examines the effectiveness of two innovative stabilizing agents—waste plastic bottle fibers and Nano Zinc Oxide (ZnO)—in enhancing the geotechnical properties of Ulwe and Navi Mumbai soils. Waste plastic bottle fibers were added in proportions of 0.25 %, 0.5 %, and 0.75 % by weight with length 3 cm, width 1 mm, and thickness 0.1 mm, while ZnO was incorporated in proportions of 1 %, 2 %, and 3 % by weight of dry soil. Experimental tests such as the Standard Proctor, California Bearing Ratio (CBR), and Unconfined Compressive Strength (UCS) were performed to assess the soil's performance. Wet-dry and freeze-thaw cycle experiments, which mimic field conditions, were used to evaluate durability. According to the results, adding 0.5 % waste plastic bottle fibers increased CBR values by 32 %, while adding 2 % ZnO improved CBR by 25 %. Higher ZnO content, however, increased the soil's optimum moisture content (OMC) while decreasing its maximum dry density (MDD). These results emphasize the suitability of waste plastic bottle fibers and ZnO as cost-effective and environmentally friendly soil stabilizing agents, with significant improvements in CBR values.</div></div>","PeriodicalId":72251,"journal":{"name":"Applications in engineering science","volume":"24 ","pages":"Article 100266"},"PeriodicalIF":2.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145320906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Integrating generative and parametric design with BIM: A literature review of challenges and research gaps in construction design","authors":"Álmos Á. Semjén , János Szép","doi":"10.1016/j.apples.2025.100253","DOIUrl":"10.1016/j.apples.2025.100253","url":null,"abstract":"<div><div>Parametric Design (PD), Generative Design (GD), and Building Information Modelling (BIM) have emerged as transformative tools in the construction industry, offering significant potential for design optimisation, interdisciplinary collaboration, and data-driven decision making. This paper presents a comprehensive literature review to evaluate the current state of PD, GD, and BIM integration, highlighting practical applications and identifying research gaps. In addition to mapping the academic discourse, the review also highlights selected practical implementations from existing literature to illustrate how these technologies are being translated into applied workflows. Furthermore, the methodology section critically reflects on the limitations of the keyword-based search strategy and suggests future directions to mitigate potential literature gaps. While many studies demonstrate efficiency gains in early design phases, the integration of these technologies across the full building lifecycle remains limited. Key challenges include insufficient interoperability between platforms, lack of standardisation, and minimal adoption of GD-BIM combinations in construction and logistics. Furthermore, few studies address the regulatory compliance and real-world scalability of AI-assisted generative models. The review concludes that although these digital methods can accelerate innovation and sustainability, their practical implementation requires further research in construction management, code-based automation, and human-in-the-loop design workflows.</div></div>","PeriodicalId":72251,"journal":{"name":"Applications in engineering science","volume":"23 ","pages":"Article 100253"},"PeriodicalIF":2.1,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144757548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Bensaada , A. Imad , T. Kanit , A. EL Moumen , M. Almansba , A. Saouab
{"title":"Phenomenological–based strategy for the Gurson-Tvergaard-Needleman model parameters identification","authors":"R. Bensaada , A. Imad , T. Kanit , A. EL Moumen , M. Almansba , A. Saouab","doi":"10.1016/j.apples.2025.100243","DOIUrl":"10.1016/j.apples.2025.100243","url":null,"abstract":"<div><div>The Gurson–Tvergaard–Needleman GTN model is widely used for ductile fracture simulations. However, the selection of its parameters is often done randomly to reproduce the experimental data without considering the physical consistency of the set of parameters selected. This contribution is dedicated to the relevance of the GTN model parameters selection using a consistent method based on the ductile fracture phenomenology.</div><div>The proposed method consists of the prioritization of the void volume fraction parameters in accordance with the kinetics of the ductile fracture phenomenon, while the nucleation and fracture parameters are chosen in conformity to the strength to fracture. Experimental data obtained from 12NC6 steel is used through various tests. Axisymmetric notched and compact tension specimens are used. The interest of the use of this variety of tests lies in the variation of stress triaxiality ratio given its widely proven importance in the ductile fracture process. The strategy is finally applied to a CT (Compact-Tension) test simulation. Satisfactory result are achieved while the number of attempts to reproduce the experimental data is considerably reduced, this lead to considerable saving of computational time.</div></div>","PeriodicalId":72251,"journal":{"name":"Applications in engineering science","volume":"23 ","pages":"Article 100243"},"PeriodicalIF":2.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144580086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Three-dimensional analysis of flow physics around a sphere inside a cone","authors":"Hamidreza Zarei, Seyed Reza Maadi","doi":"10.1016/j.apples.2025.100238","DOIUrl":"10.1016/j.apples.2025.100238","url":null,"abstract":"<div><div>This study presents a comprehensive three-dimensional numerical investigation of the flow physics around a sphere positioned inside a conical geometry, focusing on the influence of varying Reynolds numbers (102 to 10,268) and the sphere's spatial configuration on flow characteristics and drag forces. Initially, the numerical methodology was validated by simulating the flow around a sphere in an unbounded domain and comparing results with established experimental data. Subsequently, simulations were conducted within a conical enclosure, where the sphere (diameter 0.3 m) was placed at various vertical distances relative to the inlet (ranging from 1.4 m to 0.6 m) and near the cone wall (maintaining a 10 cm gap). Results revealed a significant dependence of the drag coefficient on the sphere’s position and the development of the boundary layer within the cone. As the vertical distance from the inlet increased, the drag coefficient decreased, particularly at lower Reynolds numbers. When the sphere was positioned closer to the wall, the drag coefficient was notably affected by the growth of the boundary layer, leading to substantial reductions as the vertical distance increased. These findings highlight the complex interplay between viscous and inertial forces in confined flows and provide valuable insights for optimizing fluidic systems, micro-devices, and industrial applications involving particle dynamics in constricted geometries. The research underscores the importance of spatial positioning in modulating flow behavior and drag reduction strategies in non-uniform domains.</div></div>","PeriodicalId":72251,"journal":{"name":"Applications in engineering science","volume":"23 ","pages":"Article 100238"},"PeriodicalIF":2.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144280402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aveen K P , Ullal Vignesh Nayak , K M Pranesh Rao , Shivaramu H T , V Londhe Neelakantha , Shashikumar C M
{"title":"Optimization of drilling parameters to minimize delamination in CNT-filled GFRP composites using machine learning","authors":"Aveen K P , Ullal Vignesh Nayak , K M Pranesh Rao , Shivaramu H T , V Londhe Neelakantha , Shashikumar C M","doi":"10.1016/j.apples.2025.100257","DOIUrl":"10.1016/j.apples.2025.100257","url":null,"abstract":"<div><div>Composites are most commonly fastened in assemblies by drilling. The current investigation examines the effect of the drilling factors on the quality of the drilled holes. The holes were drilled on epoxy resin polymer composites reinforced using glass fibers with Carbon nano tube (CNT) as fillers. Hand-layup was done to fabricate the composites. The laminated composites were produced with 0 %, 1 %, and 1.5 % of CNT fillers. Operating parameters such as spindle speeds-1000 rpm, 2000 rpm, and 3000 rpm, feed rates- 50 mm/min, 100 mm/min and 150 mm/min were used during the experiments. Torque (T) and thrust force (F) were measured using a digital drilling machine with a dynamometer. A machine learning based multi-output random forest regression model with hyper parameter tuning was used to predict the T, F, and delamination factor (F<sub>d</sub>). The algorithm showed that the most important parameter that influenced delamination was speed (s) followed by the feed rate (f) and filler content respectively. Further, it predicted the thrust force and F<sub>d</sub> with ±5% accuracy and T with ±10% accuracy. The best combination of speed, feed, filler which would result in a minimized F<sub>d</sub> was arrived at with the help of a Bayesian optimization.</div></div>","PeriodicalId":72251,"journal":{"name":"Applications in engineering science","volume":"23 ","pages":"Article 100257"},"PeriodicalIF":2.1,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144831420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A socio-spatial analysis of commuter preferences and behavior for driving sustainable rail network development","authors":"Üsame Ekici , Hediye Tuydes-Yaman , Sarbast Moslem","doi":"10.1016/j.apples.2025.100236","DOIUrl":"10.1016/j.apples.2025.100236","url":null,"abstract":"<div><div>To support sustainable transportation network development, Türkiye made big investments in the rail sector, including High-Speed Rail (HSR) services. To better understand the rail commuter sector and its potential connection to the Eurasian corridors in the future, current trends in the Turkish rail commuter transportation sector are investigated using the nationwide conducted rail commuter survey. Spatial analysis of the trips of 7028 rail commuters showed major desire lines, which are centered around a few cities with relatively shorter intercity travel distances. Further analysis of sociodemographic information showed a higher rate of young and middle-aged travelers who were mostly male, suggesting gender inequality in the rail commuter sector. Rail commuters preferred HSR mostly for “shorter time” and “more comfort” reasons and conventional rail for “lower cost” and “more comfort\". Binary logit analysis of the business trips also revealed that being male, having a higher age, and returning the same day have a positive impact on the likelihood of making a business trip.</div></div>","PeriodicalId":72251,"journal":{"name":"Applications in engineering science","volume":"23 ","pages":"Article 100236"},"PeriodicalIF":2.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144195979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Balamurali Kanagaraj , N. Anand , Samuvel Raj R , Eva Lubloy
{"title":"Pull-out and push-off behavior of self-compacting concrete for precast structures after elevated temperature","authors":"Balamurali Kanagaraj , N. Anand , Samuvel Raj R , Eva Lubloy","doi":"10.1016/j.apples.2025.100239","DOIUrl":"10.1016/j.apples.2025.100239","url":null,"abstract":"<div><div>The present study aims to develop and evaluate a sustainable, cement-free self-compacting geopolymer concrete (SCGC) using recycled aggregates and to assess its performance under elevated temperature conditions. The main objective is to compare the bond and shear behavior of SCGC with conventional cement concrete (reference concrete) and cement-based self-compacting concrete (SCC) before and after fire exposure. Three concrete types were prepared namely, reference concrete, SCC, and SCGC. The SCC and SCGC mixes met EFNARC guidelines for self-compacting behavior. Specimens were subjected to elevated temperatures for 1 and 2 h. Post-heating performance was evaluated based on mass loss, compressive strength, bond stress (BS), and interfacial shear stress (ISS). Results showed that after 1 h of heating, SCGC exhibited the highest bond stress, followed by SCC and reference concrete. Mass loss for SCGC was lower (4.5 % after 1 h; 5.6 % after 2 h) than others. Strength losses after 2 h were severe (65 % for reference, 69 % for SCC, and 67 % for SCGC). Bond stress and ISS losses exceeded 90 % after 2 h, representing severe degradation. Increased heating also resulted in higher slip, reducing bond integrity. SCGC demonstrated better thermal resistance initially, but all concrete types experienced substantial performance loss after prolonged high-temperature exposure.</div></div>","PeriodicalId":72251,"journal":{"name":"Applications in engineering science","volume":"23 ","pages":"Article 100239"},"PeriodicalIF":2.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144280403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}