Statistical evaluation of a machine learning model as shear strength prediction on reinforced concrete beam
The shear strength (Vs) computation of reinforced concrete (RC) beams has been a major topic in structural engineering. Several methodologies have been introduced for the Vs prediction; however, the modeling accuracy is relatively low owing to the complex character of the resistance mechanism inv...
محفوظ في:
المؤلف الرئيسي: | Mohammed, Mohammed Hayder Riyadh |
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التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
2022
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الموضوعات: | |
الوصول للمادة أونلاين: | http://psasir.upm.edu.my/id/eprint/113370/1/113370.pdf |
الوسوم: |
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مواد مشابهة
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منشور في: (2021) -
Structural Behaviour of Prestressed Concrete Hollow Beams
بواسطة: Mohamad Zin, Rosli
منشور في: (1993) -
Service Limit Criteria for Deflection and Cracking in Partially Prestressed Beams
بواسطة: Alam, Khondaker Shamsul
منشور في: (1985)