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Record W7063230302

دراسة أسباب ظهور عجز عدم الاستوائية والتموجات في الرصف المرن بالاعتماد على توصيات المنطقة المستثناة في تصميم خلائط الرصف البيتوميني وفق طريقة مارشال

2018· article· en· W7063230302 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2018
Typearticle
Languageen
FieldEngineering
TopicNuclear reactor physics and engineering
Canadian institutionsnot available
Fundersnot available
KeywordsGrading (engineering)AsphaltAggregate (composite)Safety standardsDistress
DOInot available

Abstract

fetched live from OpenAlex

Corrugation and waves distress is considered as one of the distresses in flexible pavement that affects the driving safety and comfort on roads. This research props the main factor behind this distress in order to reach suitable solutions to provide flat and comfortable driving surface. Many extracted specimens were taken on Tartous-Homs highway in the corrugated areas then the specifications of specimens were determined; Bitumen Extraction and Grain Analysis tests were performed on the extracted specimens based on the American Association of State Highway and Transportation Officials (AASHTO) and the Canadian conference recommendations for Marshal Design Criteria. Test results were generated in Aggregate Grading Curves that achieved the standard specifications according to AASHTO, but when compared to the Canadian conference recommendations it was noticed that the approach or passing of the curve through the restricted zone plays a vital role in the corrugation and waving of roads; which in turn insured the importance of replacing aggregate sources or mixing them to stay inside the control points of the standard specifications and under the restricted zone for heavy traffic roads. The findings insure as the great benefit of implementing the Canadian conference recommendations which demands more précised criteria to avoid corrugation and waves in order to reach better quality, safety and comfort on roads surfaces. تعتبر عدم الاستوائية والتموجات أحد أشكال العجز التي تظهر على سطح الرصف المرن والتي تؤثر على راحة وأمان السير على الطرقات. ويتناول بحثنا هذا دراسة العامل الأساسي المسبب لحدوث هذا العجز وصولاً في النهاية إلى وضع الحلول المناسبة لتأمين سطح سير مستوي يؤمن حركة مرور آمنة ومريحة . تم في هذا البحث أخذ عدة جزرات من مواقع مختلفة من اوتوستراد طرطوس-حمص في مناطق ظهور التموج وتم تحديد أبعاد ومواصفات هذه الجزرات, كما تم إجراء عدة تجارب على الجزرات المقتطعة من بينها استخلاص البيتومين والتحليل الحبي بهدف تقييمها وفق مواصفات الجمعية الأمريكية للرسميين الطرقيين AASHTO وتوصيات المؤتمر الكندي لمعايرة التصميم بطريقة مارشال, وبعد الحصول على نتائج التجارب تم تمثيلها في منحنيات حبية لوغاريتمية حققت الحزم النظامية المعتمدة حالياً وفق الـ AASHTO لكن عندما تم تمثيلها حسب توصيات المؤتمر الكندي تبين أن اقتراب منحني التدرج الحبي أو مروره ضمن المنطقة المستثناة يلعب دوراً رئيسياً في ظهور التموج على الطريق وهذا أكد على أهمية استبدال مصادر الحصويات أو مزجها بمصادر أخرى تحقق وقوع نقاط منحني التدرج ضمن الحزمة المطلوبة وتحت المنطقة المستثناة للطرقات ذات حركة المرور الثقيل, مؤكدين بنتيجة البحث على أهمية التقيد بتوصيات المؤتمر الكندي التي تفرض شروطاً أكثر دقة وتشدداً لتفادي ظهور التموج وعدم الاستوائية وصولاً إلى أفضل النتائج على الطرق من حيث الجودة والراحة والأمان.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.094
Threshold uncertainty score0.316

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0940.061

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.178
GPT teacher head0.501
Teacher spread0.323 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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