An Evolutionary Polynomial Computing of Pile Capacity Using the Results of High-strain Dynamic Test
Author:
Funder
Al-Maarif University
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40515-024-00411-9.pdf
Reference42 articles.
1. Abu-Farsakh, M.Y., Shoaib, M.M.: Machine learning models to evaluate the load-settlement behavior of piles from cone penetration test data. Geotech. Geol. Eng. (2024). https://doi.org/10.1007/s10706-023-02737-6
2. Al Adwan, J., Al Thawabteh, J., Alzubi, Y.: Developing ensemble machine learning for estimating and parametrically assessing the moment capacity of ferrocement members. Asian J Civ Eng (2024). https://doi.org/10.1007/s42107-024-01012-0
3. Al-Hamd, R.K.S., Albostami, A.S., Alzabeebee, S., Al-Bander, B.: An optimized prediction of FRP bars in concrete bond strength employing soft computing techniques. J. Build. Eng. p108883 (2024). https://doi.org/10.1016/j.jobe.2024.108883
4. Alzabeebee, S., Chapman, D.N.: Evolutionary computing to determine the skin friction capacity of piles embedded in clay and evaluation of the available analytical methods. Trans. Geotech. 24, 100372 (2020). https://doi.org/10.1016/j.trgeo.2020.100372
5. Alzabeebee, S., et al.: Development of a new explicit soft computing model to predict the blast-induced ground vibration. Geomech. Eng. 30(6), 551–564 (2022). https://doi.org/10.12989/gae.2022.30.6.551
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Data-driven study on shear bearing capacity of segmental concrete joints;Structures;2024-10
2. Novel Explicit Models for Assessing the Frictional Resistance of Pipe Piles Subjected to Seismic Effects;Journal of Safety Science and Resilience;2024-08
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3