Pub Date : 2025-09-06DOI: 10.1016/j.apples.2025.100260
Brayan Daniel Duran Flores , Edgar Adhair Montes Gómez , Luis Arturo Soriano Avendaño , Miguel Ángel Castellón Medinaceli
The article presents a mechanical analysis of an ultra-light chassis designed for a single-seat vehicle, focusing on weight optimization and energy efficiency. The methodology includes material selection using constraint graphs and mechanical testing, with aluminum 6060 chosen for its favorable strength-to-weight ratio. Tensile and flexural tests were conducted to evaluate the material’s strength, followed by static, dynamic load, and wind tunnel simulations in SOLIDWORKS, validating the aerodynamic and structural design The results show good safety factor distribution throughout the chassis, although a critical component, Element 58 (rear suspension support), has a low safety factor and exceeds the yield limit under maximum load conditions, indicating a need for redesign or reinforcement. Recommendations include increasing the cross-sectional area of the critical element or using a higher-strength material to ensure structural integrity and enhance the vehicle’s overall performance.
{"title":"Mechanical analysis of an ultra-light chassis model for a single-seat vehicle","authors":"Brayan Daniel Duran Flores , Edgar Adhair Montes Gómez , Luis Arturo Soriano Avendaño , Miguel Ángel Castellón Medinaceli","doi":"10.1016/j.apples.2025.100260","DOIUrl":"10.1016/j.apples.2025.100260","url":null,"abstract":"<div><div>The article presents a mechanical analysis of an ultra-light chassis designed for a single-seat vehicle, focusing on weight optimization and energy efficiency. The methodology includes material selection using constraint graphs and mechanical testing, with aluminum 6060 chosen for its favorable strength-to-weight ratio. Tensile and flexural tests were conducted to evaluate the material’s strength, followed by static, dynamic load, and wind tunnel simulations in SOLIDWORKS, validating the aerodynamic and structural design The results show good safety factor distribution throughout the chassis, although a critical component, Element 58 (rear suspension support), has a low safety factor and exceeds the yield limit under maximum load conditions, indicating a need for redesign or reinforcement. Recommendations include increasing the cross-sectional area of the critical element or using a higher-strength material to ensure structural integrity and enhance the vehicle’s overall performance.</div></div>","PeriodicalId":72251,"journal":{"name":"Applications in engineering science","volume":"24 ","pages":"Article 100260"},"PeriodicalIF":2.1,"publicationDate":"2025-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145106094","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}
Pub Date : 2025-09-01DOI: 10.1016/j.apples.2025.100246
Lorenzo Fusi , Georgios C. Georgiou
{"title":"Editorial on SI “Viscoplasticity: Theory, Modelling and Applications”","authors":"Lorenzo Fusi , Georgios C. Georgiou","doi":"10.1016/j.apples.2025.100246","DOIUrl":"10.1016/j.apples.2025.100246","url":null,"abstract":"","PeriodicalId":72251,"journal":{"name":"Applications in engineering science","volume":"23 ","pages":"Article 100246"},"PeriodicalIF":2.1,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144919880","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}
Pub Date : 2025-08-27DOI: 10.1016/j.apples.2025.100258
Yiteng Li , Xupeng He , Shouxiang Mark Ma , Hyung Kwak , Hussein Hoteit
Evaluation of pore size distributions in porous rocks using Nuclear Magnetic Resonance (NMR) T2 relaxation time typically assumes spherical pores with smooth surfaces. This simplification leads to inaccuracies by neglecting the impact of surface roughness on NMR T2 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 T2 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 T2 relaxation times for various pore configurations. The T2 correction factor is defined as the ratio of the T2 relaxation times in rough pores to those in the corresponding spherical pores of the same volume. A nonlinear mapping between PRC and T2 correction factor is established to correct the NMR T2 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 T2 relaxation times while accounting for surface roughness effects.
{"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":"2025-08-27","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}
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.
{"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":"2025-08-21","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}
Pub Date : 2025-08-18DOI: 10.1016/j.apples.2025.100254
Luca Piancastelli, Irene Giusti, Marella De Santis
This study investigates the structural behavior of the monoblock crankcase of a commercial common rail diesel engine, with a specific focus on the displacements of main bearing housings under realistic operating conditions. A detailed reverse engineering approach was employed to reconstruct the crankcase geometry, followed by finite element simulations of critical load cases derived from combustion pressure and inertial dynamics. The mechanical design criteria of crankcases and hydrodynamic bearing systems are reviewed to define acceptable tolerance ranges and deformation limits. Stress and displacement analyses were conducted across multiple engine operating scenarios to identify critical regions and evaluate the structural integrity of the engine block. Results indicate that the most significant bearing misalignments occur at central supports, suggesting potential areas for reinforcement or design improvement. The findings support the application of precise manufacturing techniques and modular design philosophies to ensure bearing alignment and engine reliability.
{"title":"Assessment of main bearing displacements in the monoblock of a commercial common rail diesel engine","authors":"Luca Piancastelli, Irene Giusti, Marella De Santis","doi":"10.1016/j.apples.2025.100254","DOIUrl":"10.1016/j.apples.2025.100254","url":null,"abstract":"<div><div>This study investigates the structural behavior of the monoblock crankcase of a commercial common rail diesel engine, with a specific focus on the displacements of main bearing housings under realistic operating conditions. A detailed reverse engineering approach was employed to reconstruct the crankcase geometry, followed by finite element simulations of critical load cases derived from combustion pressure and inertial dynamics. The mechanical design criteria of crankcases and hydrodynamic bearing systems are reviewed to define acceptable tolerance ranges and deformation limits. Stress and displacement analyses were conducted across multiple engine operating scenarios to identify critical regions and evaluate the structural integrity of the engine block. Results indicate that the most significant bearing misalignments occur at central supports, suggesting potential areas for reinforcement or design improvement. The findings support the application of precise manufacturing techniques and modular design philosophies to ensure bearing alignment and engine reliability.</div></div>","PeriodicalId":72251,"journal":{"name":"Applications in engineering science","volume":"24 ","pages":"Article 100254"},"PeriodicalIF":2.1,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144922742","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}
Pub Date : 2025-08-11DOI: 10.1016/j.apples.2025.100257
Aveen K P , Ullal Vignesh Nayak , K M Pranesh Rao , Shivaramu H T , V Londhe Neelakantha , Shashikumar C M
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 (Fd). 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 Fd with ±5% accuracy and T with ±10% accuracy. The best combination of speed, feed, filler which would result in a minimized Fd was arrived at with the help of a Bayesian optimization.
{"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":"2025-08-11","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}
Pub Date : 2025-08-10DOI: 10.1016/j.apples.2025.100255
Noor Akram Alaani
Fatigue cracking was among the most prevalent types of distress affecting asphalt concrete pavements in Iraq, which had been exacerbated by base destabilisation and inadequate subgrade drainage and resulted from recurrent traffic loads that exceeded design specifications. The study focused on a 15-kilometer section of the Semel-Patel Highway near Duhok, where this type of cracking had significantly increased maintenance costs, however addressing it could help reducing expenditures on long term. The NCHRP mechanistic-empirical fatigue life prediction model (NCHRP 9–44A/PMED) was used to forecast the number of load repetitions that are possible until cracking occurred. Layer stiffness, traffic spectra, climate, and drainage condition were among the field condition inputs that had been adjusted by laboratory testing and field observations. Notable results revealed: the subgrade moisture and binders had a significant impact on the expected fatigue life, underscoring the significance of appropriate drainage enhancements and binder selection to prolong pavement life. This model proposed as a decision-support tool for pavement design optimization and maintenance management.
{"title":"Prediction of fatigue cracking in asphaltic pavement under local traffic conditions: Application to Semel-Patel highway-Duhok","authors":"Noor Akram Alaani","doi":"10.1016/j.apples.2025.100255","DOIUrl":"10.1016/j.apples.2025.100255","url":null,"abstract":"<div><div>Fatigue cracking was among the most prevalent types of distress affecting asphalt concrete pavements in Iraq, which had been exacerbated by base destabilisation and inadequate subgrade drainage and resulted from recurrent traffic loads that exceeded design specifications. The study focused on a 15-kilometer section of the Semel-Patel Highway near Duhok, where this type of cracking had significantly increased maintenance costs, however addressing it could help reducing expenditures on long term. The NCHRP mechanistic-empirical fatigue life prediction model (NCHRP 9–44A/PMED) was used to forecast the number of load repetitions that are possible until cracking occurred. Layer stiffness, traffic spectra, climate, and drainage condition were among the field condition inputs that had been adjusted by laboratory testing and field observations. Notable results revealed: the subgrade moisture and binders had a significant impact on the expected fatigue life, underscoring the significance of appropriate drainage enhancements and binder selection to prolong pavement life. This model proposed as a decision-support tool for pavement design optimization and maintenance management.</div></div>","PeriodicalId":72251,"journal":{"name":"Applications in engineering science","volume":"23 ","pages":"Article 100255"},"PeriodicalIF":2.1,"publicationDate":"2025-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144858554","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}
Pub Date : 2025-08-10DOI: 10.1016/j.apples.2025.100256
O. Kapustian , S. Sheyko , O. Hrechanyі , T. Vasilchenko , I. Аkimov
The work optimized the technological parameters (pressing pressure and powder size) in the manufacture of titanium products by powder metallurgy methods. We established the influence of pressing pressure and powder fraction on the size and number of pores in the experimental samples, as well as on the mechanical properties of researched samples. We defined the optimal ratio of pressing pressure and powder size on the formation of the structure and properties of sintered titanium. According to the developed technology, the obtained indicators are close to the mechanical properties of industrial titanium Grade 2 (σR ≥ 345 MPa and hardness HB > 130). We obtained the dependency of the influence of technological parameters of titanium’s powder metallurgy on its properties. We determined the sensitivity of volumetric porosity, pore size, hardness, tensile strength and relative elongation to pressing pressure and powder size. We proposed the optimal pressing pressure and powder size, which provide high indicators of hardness and tensile strength of sintered titanium.
{"title":"Optimization of the technology for producing titanium products","authors":"O. Kapustian , S. Sheyko , O. Hrechanyі , T. Vasilchenko , I. Аkimov","doi":"10.1016/j.apples.2025.100256","DOIUrl":"10.1016/j.apples.2025.100256","url":null,"abstract":"<div><div>The work optimized the technological parameters (pressing pressure and powder size) in the manufacture of titanium products by powder metallurgy methods. We established the influence of pressing pressure and powder fraction on the size and number of pores in the experimental samples, as well as on the mechanical properties of researched samples. We defined the optimal ratio of pressing pressure and powder size on the formation of the structure and properties of sintered titanium. According to the developed technology, the obtained indicators are close to the mechanical properties of industrial titanium Grade 2 (σ<sub>R</sub> ≥ 345 MPa and hardness HB > 130). We obtained the dependency of the influence of technological parameters of titanium’s powder metallurgy on its properties. We determined the sensitivity of volumetric porosity, pore size, hardness, tensile strength and relative elongation to pressing pressure and powder size. We proposed the optimal pressing pressure and powder size, which provide high indicators of hardness and tensile strength of sintered titanium.</div></div>","PeriodicalId":72251,"journal":{"name":"Applications in engineering science","volume":"23 ","pages":"Article 100256"},"PeriodicalIF":2.1,"publicationDate":"2025-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144831421","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}
Pub Date : 2025-08-05DOI: 10.1016/j.apples.2025.100252
Friedrich Ratschiller, Konstantin Prabitz, Martin Stockinger
Roll forming is a critical manufacturing process due to its complex mechanics and the sequential deformation of metal strips, which pose significant computational challenges. This study presents an optimised simulation strategy for roll forming using Abaqus 2023, focusing on reducing computation time while maintaining result accuracy. The proposed approach combines a tailored conformal mesh partitioning scheme, material model refinement based on experimental tensile data, and element type selection to enhance simulation efficiency. Unlike previous studies, this work integrates experimental validation using force measurements and geometry scanning from an industrial roll-forming process, confirming the accuracy of the numerical model. Additionally, the entire model setup, including meshing and boundary condition definition, is fully scripted in Python, enabling rapid and reproducible model generation for various profile geometries. This study provides a quantitative trade-off analysis between mesh resolution, accuracy, and computational cost. These findings are directly transferable to industrial design workflows, offering a practical method for accelerating simulation-based roll-forming process development.
{"title":"Optimising roll forming simulation in Abaqus: A computational study","authors":"Friedrich Ratschiller, Konstantin Prabitz, Martin Stockinger","doi":"10.1016/j.apples.2025.100252","DOIUrl":"10.1016/j.apples.2025.100252","url":null,"abstract":"<div><div>Roll forming is a critical manufacturing process due to its complex mechanics and the sequential deformation of metal strips, which pose significant computational challenges. This study presents an optimised simulation strategy for roll forming using Abaqus 2023, focusing on reducing computation time while maintaining result accuracy. The proposed approach combines a tailored conformal mesh partitioning scheme, material model refinement based on experimental tensile data, and element type selection to enhance simulation efficiency. Unlike previous studies, this work integrates experimental validation using force measurements and geometry scanning from an industrial roll-forming process, confirming the accuracy of the numerical model. Additionally, the entire model setup, including meshing and boundary condition definition, is fully scripted in Python, enabling rapid and reproducible model generation for various profile geometries. This study provides a quantitative trade-off analysis between mesh resolution, accuracy, and computational cost. These findings are directly transferable to industrial design workflows, offering a practical method for accelerating simulation-based roll-forming process development.</div></div>","PeriodicalId":72251,"journal":{"name":"Applications in engineering science","volume":"23 ","pages":"Article 100252"},"PeriodicalIF":2.1,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144809907","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}
Pub Date : 2025-08-04DOI: 10.1016/j.apples.2025.100251
Ruiting Ba , Wei Chen , Mingshan Li , Yong Shi
Cement concrete, the predominant modern construction material, exhibits poor durability owing to its porous microstructure. Surface treatment has emerged as an effective method to enhance concrete's durability. While surface coating or modification techniques are commonly employed, they necessitate additional materials, thereby increasing engineering costs. In contrast, ultrasonic surface treatment(UST) of concrete offers a novel physical approach that requires no supplementary materials, rendering it a cost-effective and promising alternative. However, the frost resistance of ultrasonically treated concrete, particularly in the context of extensive use of supplementary cementitious materials, has not been extensively investigated in prior research.
This study investigates the use of UST to enhance the frost and carbonation resistance of concrete. Results show that UST significantly improves both properties. Specifically, the relative dynamic elastic modulus of treated concrete increased by 11.37%-19.31%, mass loss rate decreased by 32.25%-52.86%, carbonation depth reduced by 24.22%-26.16%, and the carbonation coefficient dropped from 3.302–3.463 to 2.357–2.441. These enhancements are attributed to the refinement of the concrete surface microstructure and the improvement of defects at the matrix-aggregate interface due to UST. Consequently, UST represents a beneficial complement to conventional air entrainment and coating methods for enhancing the frost and carbonation resistance of concrete.
{"title":"Experimental study on the influence of ultrasonic surface treatment on freeze-thaw and carbonation resistance properties of concrete","authors":"Ruiting Ba , Wei Chen , Mingshan Li , Yong Shi","doi":"10.1016/j.apples.2025.100251","DOIUrl":"10.1016/j.apples.2025.100251","url":null,"abstract":"<div><div>Cement concrete, the predominant modern construction material, exhibits poor durability owing to its porous microstructure. Surface treatment has emerged as an effective method to enhance concrete's durability. While surface coating or modification techniques are commonly employed, they necessitate additional materials, thereby increasing engineering costs. In contrast, ultrasonic surface treatment(UST) of concrete offers a novel physical approach that requires no supplementary materials, rendering it a cost-effective and promising alternative. However, the frost resistance of ultrasonically treated concrete, particularly in the context of extensive use of supplementary cementitious materials, has not been extensively investigated in prior research.</div><div>This study investigates the use of UST to enhance the frost and carbonation resistance of concrete. Results show that UST significantly improves both properties. Specifically, the relative dynamic elastic modulus of treated concrete increased by 11.37%-19.31%, mass loss rate decreased by 32.25%-52.86%, carbonation depth reduced by 24.22%-26.16%, and the carbonation coefficient dropped from 3.302–3.463 to 2.357–2.441. These enhancements are attributed to the refinement of the concrete surface microstructure and the improvement of defects at the matrix-aggregate interface due to UST. Consequently, UST represents a beneficial complement to conventional air entrainment and coating methods for enhancing the frost and carbonation resistance of concrete.</div></div>","PeriodicalId":72251,"journal":{"name":"Applications in engineering science","volume":"23 ","pages":"Article 100251"},"PeriodicalIF":2.1,"publicationDate":"2025-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144766822","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}
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