Design Of Concrete Mixes Using Artificial Neural Network / (Record no. 172208)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04142namaa22004211i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - أخر تعامل مع التسجيلة | |
| control field | 20250522115510.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250520s2024 ua a|||fr|||m 000 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloguing agency | EG-GICUC |
| Language of cataloging | eng |
| Transcribing agency | EG-GICUC |
| Modifying agency | EG-GICUC |
| Description conventions | rda |
| 041 0# - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| Language code of summary or abstract | eng |
| -- | ara |
| 049 ## - Acquisition Source | |
| Acquisition Source | Deposit |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 624.1834 |
| 092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC) | |
| Classification number | 624.1834 |
| Edition number | 21 |
| 097 ## - Degree | |
| Degree | M.Sc |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Local Call Number | Cai01.13.05.M.Sc.2024.Ah.D. |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Authority record control number or standard number | Ahmed Yousri Yousef Ali, |
| Preparation | preparation. |
| 245 10 - TITLE STATEMENT | |
| Title | Design Of Concrete Mixes Using Artificial Neural Network / |
| Statement of responsibility, etc. | By Ahmed Yousri Yousef Ali; Under the Supervision of Prof. Dr. Hany Ahmed Abdalla, Prof. Dr. Akram Mohamed Torkey, |
| 246 15 - VARYING FORM OF TITLE | |
| Title proper/short title | تصميم الخلطات الخرسانية باستخدام الشبكة العصبية الاصطناعية / |
| 264 #0 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | 2024. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 68 pages : |
| Other physical details | illustrations ; |
| Dimensions | 30 cm. + |
| Accompanying material | CD. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rda content |
| 337 ## - MEDIA TYPE | |
| Media type term | Unmediated |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | volume |
| Source | rdacarrier |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (M.Sc.) -Cairo University, 2024. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Bibliography: pages 64-68. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Seventy cube concrete specimens were cast in this study to test compressive strength. <br/>The artificial neural network (ANN) model was utilized to predict compressive <br/>strength for a given combination of materials in order to achieve a target compressive <br/>strength after twenty-eight days. The model uses seven input parameters, including the <br/>w/c ratio, concrete workability, cement content, maximum aggregate size, coarse <br/>aggregate content, fineness modulus of sand, and sand content, where the output is the <br/>predicted compressive strength. Feed-forward back-propagation type and the <br/>levenberg marquardt algorithm was used to predict compressive strength. The model <br/>showed great results for predicting the compressive strength of concrete, as the <br/>coefficient of variation (COV) was less than 7%, with an average of about one for the <br/>ratio of the actual compressive strength to the predicted compressive strength. Fifty-<br/>eight different mixtures from past experiments were used to ensure the accuracy of the <br/>model's prediction and the error rate for most samples was less than 10%. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | يتناول البحث صب سبعين مكعب خرساني في هذه الدراسة لاختبار مقاومة الضغط. تم استخدام نموذج الشبكة العصبية الاصطناعية من نوع التغذية الأمامية والانتشار الخلفي وخوارزمية ليفينبيرج ماركاد للتنبؤ بمقاومة الضغط لمجموعة معينة من المواد. يستخدم النموذج سبعة معاملات ادخال، بما في ذلك نسبة الماء إلى الاسمنت، وقابلية تشغيل الخرسانة، ووزن الاسمنت، والمقاس الاعتباري الاكبر للركام، ووزن الركام الخشن، ومعامل نعومة الرمل، ووزن الرمل، حيث يكون الناتج هو مقاومة الضغط المتوقعة. أظهر نتائج التنبؤ بمقاومة الضغط للخرسانة، حيث كان معامل التباين أقل من 7%، بمتوسط حوالي واحد لنسبة مقاومة الضغط الفعلية إلى المتوقعة. تم استخدام ثمانية وخمسين خليطًا من التجارب السابقة لضمان دقة تنبؤ النموذج وكان معدل الخطأ في معظم العينات أقل من 10%.<br/><br/> |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Issues CD | Issued also as CD |
| 546 ## - LANGUAGE NOTE | |
| Text Language | Text in English and abstract in Arabic & English. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Concrete |
| Source of heading or term | qrmak |
| 653 #0 - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Neural network |
| -- | concrete mix design |
| -- | compressive strength |
| -- | optimum number of neurons |
| -- | MATLAB |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Hany Ahmed Abdalla |
| Relator term | thesis advisor. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Akram Mohamed Torkey |
| Relator term | thesis advisor. |
| 900 ## - Thesis Information | |
| Grant date | 01-01-2024 |
| Supervisory body | Hany Ahmed Abdalla |
| -- | Akram Mohamed Torke |
| Discussion body | Ahmed Ali Hassan |
| Universities | Cairo University |
| Faculties | Faculty of Engineering |
| Department | Department of Structural Engineering |
| 905 ## - Cataloger and Reviser Names | |
| Cataloger Name | Eman El gebaly |
| Reviser Names | Eman Ghareb |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Thesis |
| Edition | 21 |
| Suppress in OPAC | No |
| Source of classification or shelving scheme | Home library | Current library | Date acquired | Inventory number | Full call number | Barcode | Date last seen | Effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | المكتبة المركزبة الجديدة - جامعة القاهرة | قاعة الرسائل الجامعية - الدور الاول | 20.05.2025 | 91143 | Cai01.13.05.M.Sc.2024.Ah.D. | 01010110091143000 | 20.05.2025 | 20.05.2025 | Thesis |