Prediction of airport road service life based on concrete structure characteristics
Source abstract
Abstract
Addressing the pressing need for optimized airport road maintenance, this study harnesses a machine-learning approach to predict road service life. This study introduces a novel EO-LightGBM model, refined through meticulous parameter optimization, feature selection, and model integration. The relationship between the characteristics of concrete structures and the service life of airport roads was deeply explored and revealed a significant correlation between concrete structural characteristics—compressive strength, flexural strength, density, moisture content, and temperature resistance—and road longevity. The established model not only accurately predicts the service life of airport roads, but also has good stability and adaptability. This study provides a new method for predicting and optimizing the service life of airport roads and provides effective support for the design, construction, and maintenance of airport roads.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Infrastructure Maintenance and Monitoring · Asphalt Pavement Performance Evaluation · Smart Materials for Construction
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (29)
Show source-provided references
1. Experimental evaluation of the high-grade properties of recycled concrete aggregates and their application in concrete road pavement construction
2. Foam concrete as new material in road constructions10.1016/j.proeng.2016.08.585 ↗
3. Resistance to permanent deformation of road and airport high performance asphalt concrete base courses10.4028/www.scientific.net/AMR.723.494 ↗
4. Comparative study on the effect of synthetic fiber on the preparation and durability of airport pavement concrete10.1016/j.conbuildmat.2018.06.223 ↗
5. Effect of carbon fiber admixture and length on microwave deicing efficiency of airport road surface concrete
6. Strain influence factor charts for settlement evaluation of spread foundations based on the stress–strain method10.3390/app10113822 ↗
7. Fast and reliable burst data transmission for backscatter communications10.3390/s19245418 ↗
8. N. Karballaeezadeh, D. Mohammadzadeh S, S. Shamshirband, P. Hajikhodaverdikhan, A. Mosavi, K. wing Chau, 2019. Prediction of remaining service life of pavement using an optimized support vector machine (case study of Semnan–Firuzkuh road), 〈Http://Www.Tandfonline.Com/Action/AuthorSubmission?JournalCode=tcfm20&page=instructions〉. 13 (2019) 188–198. https://doi.org/10.1080/19942060.2018.1563829.10.1080/19942060.2018.1563829 ↗
9. Comparative analysis of machine learning models for prediction of remaining service life of flexible pavement10.3390/math7121198 ↗
10. O. Kaya, H. Ceylan, S. Kim, D. Waid, B.P. Moore, 2020. Statistics and Artificial Intelligence-Based Pavement Performance and Remaining Service Life Prediction Models for Flexible and Composite Pavement Systems, Https://Doi.Org/10.1177/0361198120915889. 2674 (2020) 448–460. https://doi.org/10.1177/0361198120915889.10.1177/0361198120915889 ↗
11. Calibrating a local civil airport runway residual life prediction model using random effects and joint estimation10.1155/2020/6903507 ↗
12. Study on flexural fatigue properties of POM fiber airport pavement concrete10.3390/polym14152979 ↗
13. Fatigue concepts for concrete airport pavement design10.1061/TPEJAN.0000445 ↗
14. Evaluation of asphalt concrete airport pavement conditions based on the Airfield Pavement Condition Index (APCI) in scope of flight safety10.3390/aerospace7060078 ↗
15. Structure and properties of aerated concrete: a review10.1016/S0958-9465(00)00016-0 ↗
16. Application of the combined method for evaluating the compressive strength of concrete on site
17. Flexural strength of concrete beam reinforced with CFRP bars: a review10.3390/ma15031144 ↗
18. Development of high-performance heavy density concrete using different agg2regates for gamma-ray shielding10.1016/j.pnucene.2014.11.009 ↗
19. Effect of moisture and temperature on the mechanical properties of concrete10.1016/j.conbuildmat.2010.07.020 ↗
20. Effect of temperature on thermal properties of different types of high-strength concrete10.1061/(ASCE)MT.1943-5533.0000225 ↗
21. Analysis of structural performance and sustainability of airport concrete pavements incorporating blast furnace slag10.1016/j.jclepro.2014.11.046 ↗
22. Precast system and assembly connection of cement concrete slabs for road pavement: a review
23. Random forest in remote sensing: a review of applications and future directions10.1016/j.isprsjprs.2016.01.011 ↗
24. Applications of Support Vector Machine (SVM) learning in cancer genomics
25. LightGBM: a highly efficient gradient boosting decision tree
26. Predicting hard rock pillar stability using GBDT, XGBoost, and LightGBM algorithms10.3390/math8050765 ↗
27. P. Liashchynskyi, P. Liashchynskyi, 2023. Grid Search, Random Search, Genetic Algorithm: A Big Comparison for NAS, (2019). 〈https://arxiv.org/abs/1912.06059v1〉 (Accessed June 24, 2023).
28. Equilibrium optimizer: a novel optimization algorithm10.1016/j.knosys.2019.105190 ↗
29. Predicting permeability of tight carbonates using a hybrid machine learning approach of modified equilibrium optimizer and extreme learning machine10.1007/s11440-021-01257-y ↗