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检索条件"主题词=Gene Expression Programming"
933 条 记 录,以下是441-450 订阅
排序:
Predicting maximum deflection of N-Edged thin-shelled hyperbolic-Paraboloid umbrella using machine learning techniques
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THIN-WALLED STRUCTURES 2024年 205卷
作者: Eldarwich, Hamid Mansouri, Iman Garlock, Maria Wang, Shengzhe Princeton Univ Dept Civil & Environm Engn Princeton NJ 08544 USA Univ Colorado Denver Dept Civil Engn Denver CO 80217 USA
Many thin-shelled hyperbolic paraboloid (hypar) umbrella forms have been built in the last 60 years as roof coverings. While the stresses in these forms remain relatively low, the deflections are a critical design par... 详细信息
来源: 评论
Data-Driven Predictive Modeling of Steel Slag Concrete Strength for Sustainable Construction
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BUILDINGS 2024年 第8期14卷 2476页
作者: Albostami, Asad S. Al-Hamd, Rwayda Kh. S. Al-Matwari, Ali Ammar Oryx Universal Coll Partnership Liverpool John Moo Sch Engn & Construct POB 12253 Doha Qatar Abertay Univ Fac Social & Appl Sci Dept Built Environm & Life Sci Dundee DD1 1HQ Scotland
Conventional concrete causes significant environmental problems, including resource depletion, high CO2 emissions, and high energy consumption. Steel slag aggregate (SSA), a by-product of the steelmaking industry, off... 详细信息
来源: 评论
Modeling wax disappearance temperature using robust white-box machine learning
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FUEL 2024年 376卷
作者: Amar, Menad Nait Zeraibi, Noureddine Benamara, Chahrazed Djema, Hakim Saifi, Redha Gareche, Mourad Sonatrach Dept Etud Thermodynam Div Labs Ave 1 er Novembre Boumerdes 35000 Algeria Univ MHamed Bougara Boumerdes Fac Hydrocarbons & Chem Lab Hydrocarbons Phys Engn Ave 1er Novembre Boumerdes 35000 Algeria
Wax deposition is one of the major operational problems encountered in the upstream petroleum production system. The deposition of this undesirable scale can cause a variety of challenging problems. In order to avoid ... 详细信息
来源: 评论
Data-driven prediction method for flexural performance of ECC composite sandwich panels
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STRUCTURES 2024年 70卷
作者: Xiong, Feng Bian, Yu Liu, Ye Ge, Qi Deng, Chubing Sichuan Univ Coll Architecture & Environm Key Lab Deep Underground Sci & Engn Minist Educ Chengdu 610065 Peoples R China
To address the inadequate load-carrying capacity and ductility of precast concrete sandwich panels (PCSPs), as well as their inability to meet the current trend of lightweight and high-strength structures, this study ... 详细信息
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Predictive modeling for depth of wear of concrete modified with fly ash: A comparative analysis of genetic programming-based algorithms
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CASE STUDIES IN CONSTRUCTION MATERIALS 2024年 20卷
作者: Khan, Adil Khan, Majid Ali, Mohsin Khan, Murad Khan, Asad Ullah Shakeel, Muhammad Fawad, Muhammad Najeh, Taoufik Gamil, Yaser Univ Bradford Dept Adv Civil & Struct Engn Bradford BD7 1DP England COMSATS Univ Dept Civil Engn Islamabad 22060 Pakistan Southeast Univ Nanjing Sch Civil Engn Nanjing Peoples R China Tianjin Univ Sch Civil Engn Tianjin 300354 Peoples R China Univ Engn & Technol Dept Civil Engn Peshawar 25120 Pakistan Silesian Univ Technol Poland Gliwice Poland Budapest Univ Technol & Econ Hungary Budapest Hungary Lulea Univ Technol Dept Civil Environm & Nat Resources Engn Operat Maintenance & Acoust Lulea Sweden Monash Univ Malaysia Sch Engn Dept Civil Engn Jalan Lagoon SelatanBandar Sunway Subang Jaya 47500 Selangor Malaysia
There has been increasing growth in incorporating fly ash as a supplementary cementitious material in concrete mixtures due to its potential to enhance the durability and strength properties of concrete. However, ther... 详细信息
来源: 评论
Machine learning for optimal design of circular hollow section stainless steel stub columns: A comparative analysis with Eurocode 3 predictions
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2024年 132卷
作者: Abarkan, Ikram Rabi, Musab Ferreira, Felipe Piana Vendramell Shamass, Rabee Limbachiya, Vireen Jweihan, Yazeed S. Santos, Luis Fernando Pinho Abdelmalek Essaadi Univ Fac Sci Dept Phys Tetouan 93002 Morocco Jerash Univ Dept Civil Engn Irbid Jordan Univ Fed Uberlandia Fac Civil Engn Campus Santa Mon Uberlandia MG Brazil Brunel Univ London Dept Civil & Environm Engn London England London South Bank Univ Sch Built Environm & Architecture Div Civil & Bldg Serv Engn London England Mutah Univ Coll Engn Civil & Environm Engn Dept Mutah 61710 Karak Jordan
Stainless steel has many advantages when used in structures, however, the initial cost is high. Hence, it is essential to develop reliable and accurate design methods that can optimize the material. As novel, reliable... 详细信息
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Study on Dynamic Modulus Prediction Model of In-Service Asphalt Pavement
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BUILDINGS 2024年 第8期14卷 2550页
作者: Wang, Duanyi Luo, Chuanxi Li, Jian He, Jun South China Univ Technol Sch Civil Engn & Transportat Guangzhou 510000 Peoples R China Xiaoning Inst Roadway Engn Guangzhou 510000 Peoples R China
The dynamic modulus of in-service asphalt pavements serves as a critical parameter for the computation of residual life and the design of overlays. However, its acquisition is currently limited to laboratory dynamic m... 详细信息
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An optimized prediction of FRP bars in concrete bond strength employing soft computing techniques
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JOURNAL OF BUILDING ENGINEERING 2024年 86卷
作者: Al-Hamd, Rwayda Kh S. Albostami, Asad S. Alzabeebee, Saif Al -Bander, Baidaa Abertay Univ Sch Appl Sci Dundee Scotland Univ Petra Fac Engn Civil Engn Dept Amman Jordan Oryx Universal Coll Partnership Liverpool John Moo Sch Engn & Construct Doha Qatar Univ Al Qadisiyah Coll Engn Dept Rd & Transport Engn Al Diwaniyah Al Qadisiyah Iraq Keele Univ Sch Comp Newcastle Upon Tyne ST5 5BG Keele England
The precise estimation of the bonding strength between concrete and fiber-reinforced polymer (FRP) bars holds significant importance for reinforced concrete structures. This study introduces a new methodology that uti... 详细信息
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Machine learning based prediction models for spilt tensile strength of fiber reinforced recycled aggregate concrete
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CASE STUDIES IN CONSTRUCTION MATERIALS 2024年 20卷
作者: Alarfaj, Mohammed Qureshi, Hisham Jahangir Shahab, Muhammad Zubair Javed, Muhammad Faisal Arifuzzaman, Md Gamil, Yaser King Faisal Univ Coll Engn Dept Elect Engn Al Hufuf 31982 Saudi Arabia King Faisal Univ Coll Engn Dept Civil & Environm Engn Alahsa 31982 Saudi Arabia COMSATS Univ Islamabad Dept Civil Engn Abbottabad Campus Abbottabad 22020 Pakistan Ghulam Ishaq Khan Inst Engn Sci & Technol Dept Civil Engn Topi 23640 Pakistan Monash Univ Malaysia Sch Engn Dept Civil Engn Jalan Lagoon Selatan Bandar Sunway 47500 Selangor Malaysia
The demand for concrete production has led to a significant annual requirement for raw materials, resulting in a substantial amount of waste concrete. In response, recycled aggregate concrete has emerged as a promisin... 详细信息
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Flexural strength prediction of concrete beams reinforced with hybrid FRP and steel bars based on machine learning
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STRUCTURES 2024年 65卷
作者: Zhang, Tao Gao, Danying Xue, Chengcheng Zhengzhou Univ Sch Water Conservancy Engn 100 Sci Rd Zhengzhou 450001 Henan Peoples R China Zhengzhou Univ Sch Civil Engn 100 Sci Rd Zhengzhou 450001 Henan Peoples R China
In the past decade, hybrid fiber-reinforced polymer (FRP) and steel reinforced concrete (hybrid FRP-steel RC) beams have attracted significant interest due to their relatively superior flexural behavior compared with ... 详细信息
来源: 评论