SlideShare a Scribd company logo
1 of 4
Download to read offline
By Gizaw Mekonnen Eshete
Marshall Mix Design of 100% reclaimed material and virgin aggregate mixtures
Key
Can be chenged In put
Don’t Edit Calculated output
Don’t Edit Result
INPUT: GIVEN BASIC DATA FOR SAMPLE OF PAVING MIXTURE
a) Constituents:
Adasia
Specific Gravity
Test
Meth
od Mixture Compositon % by weight of:
Material Aparrent Bulk Dry
Tot
al
Mix
Dry
Aggregat
es
Asphalt Cement Gb 1.033 T-28 Pb 4.580152672 P'b 4.80
Coarse Aggregates 2.564 G1 2.52 KT-6-I P1 54.38931298 P'1 57.00
Fine Aggregates 1.83 G1 2.59 KT-6-II P2 39.1221374 P'2 41.00
Miniral filler 3.2 G2 3.10 KT-6-II P3 1.908396947 P'3 2.00
100 weight 104.80 %
Gmb = 2.285
Gmm = 2.445 Theoretical Maximum Specific Gravity
Pmm = 100 %
CF= 0.021
CALCULATIONS
Formula 1 Mixture composition
a, Pb= Percent asphalt, total mixture basis. 4.58 %
b, P1= Percent Coarse Aggr., total mixture basis. 54.39 %
c, P2= Percent fine Aggr., total mixture basis. 39.12 %
d, P3= Percent filler, total mixture basis. 1.908
e, Ps= aggregate, % by total weight of mix (P1+ P2+ P3+ Pn) 95.42
2 Specific Gravity
a, Gsb= (Gt) Bulk dry specific gravity of the total aggregate 2.559
a, Gsb= (Gt) Bulk dry specific gravity of the total aggregate 2.596
b, Gse = Effective specific gravity of aggregate 2.617
c, Gsa=Apparent Specific Gravity 2.797
d, Gmm = max. specific gravity of paving mixture (no air voids), (KT-39)2.445
𝑃1 =
𝑃1′ × 100
100 + 𝑃𝑏′
𝑃𝑏 =
𝑃𝑏′ × 100
100 + 𝑃𝑏′
𝑃2 =
𝑃2′ × 100
100 + 𝑃𝑏′
𝐺𝑠𝑏 =
𝑃1 + 𝑃2 + ⋯ . 𝑛
𝑃1
𝐺1
+
𝑃1
𝐺1
+ ⋯ .
𝑃𝑛
𝐺 𝑛
𝐺𝑠𝑒 =
𝑃𝑚𝑚 − 𝑃𝑏
𝑃𝑚𝑚
𝐺 𝑚𝑚
−
𝑃𝑏
𝐺 𝑏
𝐺 𝑚𝑚 =
𝑃𝑚𝑚
𝑃𝑠
𝐺𝑠𝑒
+
𝑃𝑏
𝐺 𝑏
𝑃𝑠 = (𝑃1 + 𝑃2 + 𝑃3 + 𝑃𝑛)
𝐺𝑠𝑎 =
𝑃1 + 𝑃2
𝑃1
𝐺𝑏1
+
𝑃2
𝐺𝑏2
𝐺𝑠𝑏 = 𝐺𝑠𝑒- CF
𝑃3 =
𝑃3′ × 100
100 + 𝑃𝑏′
3 Pba= absorbed asphalt, percent by weight of aggregate. 0.897 %
4 Pbe= effective asphalt content, percent by total weight of mixture.3.724 %
4 Pbe= effective asphalt content, percent by total weight of mixture.4.275 %
5 Ps= aggregate, percent by total weight of mixture. 95.42
95.42 %
6 Voids
b, VMA = voids in mineral aggregate, percent of bulk vol. 14.78 %
,a VMA = voids in mineral aggregate (percent of bulk vol.) 15.99 %
c, Vv= air voids in compacted mixture, % of total volume. 6.541 %
VTM= void in a total mix 6.541 %
d, VFA=Percent Voids Filled with Asphalt: 55.73 %
𝑃𝑏𝑎 = 100
𝐺𝑠𝑒 − 𝐺𝑠𝑏
𝐺𝑠𝑏 × 𝐺𝑠𝑒
𝐺 𝑏
𝑃𝑏𝑒 = 𝑃𝑏 −
𝑃𝑏𝑎
100
𝑃𝑠
𝑉𝑀𝐴 = 100 −
𝐺 𝑚𝑏 𝑃𝑠
𝐺𝑠𝑏
𝑃𝑠=
100
100 + 𝑃𝑏′
∗ 100
𝑉𝑀𝐴 = 100 −
𝐺 𝑚𝑏
𝐺𝑠𝑏
∗
100
100 + 𝑃𝑏′
∗ 100
𝑉𝑣 = 100 ∗
𝐺 𝑚𝑚 − 𝐺 𝑚𝑏
𝐺 𝑚𝑚
𝑉𝐹𝐴 =
𝑃𝑏𝑒
𝐺 𝑏
𝑉𝑀𝐴
𝐺 𝑚𝑏
∗ 100
𝑉𝑇𝑀 = 1 −
𝐺 𝑚𝑏
𝐺 𝑚𝑚
*100
𝑃𝑏𝑒 = 𝑃𝑏 − *𝑃𝑠 *𝐺 𝑏(
𝐺𝑠𝑒−𝐺 𝑠𝑏
𝐺 𝑠𝑏×𝐺𝑠𝑒
)
𝑃𝑠= 𝑃𝑚𝑚 − 𝑃𝑏
e, VFA=Percent Voids Filled with Asphalt: 59.11 %
F/A Ratio 7 1.17
OUT PUT: REPORT
% AC by Wt. Aggr P'b= 4.800
AC by Wt. Mix Pb= 4.580
% Aggr. by Wt. Mix Ps= 95.420
S. G. of Asphalt Gb= 1.033
S. G. of Aggr. (bulk) Gsb= 2.559
Max. S. G. Mix (KT-39) Gmm = 2.445
(computed)
Theo. Max. KG/M3
Eff. S. G. of Aggr. Gse = 2.617
% Abs. Asphalt Pba= 0.897
Eff. Asph. Content Pbe= 3.724
% V. M. A. VMA = 14.776
S. G. of plugs (KT-15) Gmb = 2.285
Lab Plugs KG/M3
% Air Voids Vv=VIM 6.541
% Voids Filled VFB= 55.734
𝑉𝐹𝐴 ==
𝑉𝑀𝐴 − 𝑃𝑎
𝑉𝑀𝐴
100

More Related Content

Recently uploaded

Artificial intelligence presentation2-171219131633.pdf
Artificial intelligence presentation2-171219131633.pdfArtificial intelligence presentation2-171219131633.pdf
Artificial intelligence presentation2-171219131633.pdf
Kira Dess
 
21P35A0312 Internship eccccccReport.docx
21P35A0312 Internship eccccccReport.docx21P35A0312 Internship eccccccReport.docx
21P35A0312 Internship eccccccReport.docx
rahulmanepalli02
 
Final DBMS Manual (2).pdf final lab manual
Final DBMS Manual (2).pdf final lab manualFinal DBMS Manual (2).pdf final lab manual
Final DBMS Manual (2).pdf final lab manual
BalamuruganV28
 

Recently uploaded (20)

Artificial intelligence presentation2-171219131633.pdf
Artificial intelligence presentation2-171219131633.pdfArtificial intelligence presentation2-171219131633.pdf
Artificial intelligence presentation2-171219131633.pdf
 
CLOUD COMPUTING SERVICES - Cloud Reference Modal
CLOUD COMPUTING SERVICES - Cloud Reference ModalCLOUD COMPUTING SERVICES - Cloud Reference Modal
CLOUD COMPUTING SERVICES - Cloud Reference Modal
 
analog-vs-digital-communication (concept of analog and digital).pptx
analog-vs-digital-communication (concept of analog and digital).pptxanalog-vs-digital-communication (concept of analog and digital).pptx
analog-vs-digital-communication (concept of analog and digital).pptx
 
Worksharing and 3D Modeling with Revit.pptx
Worksharing and 3D Modeling with Revit.pptxWorksharing and 3D Modeling with Revit.pptx
Worksharing and 3D Modeling with Revit.pptx
 
NEWLETTER FRANCE HELICES/ SDS SURFACE DRIVES - MAY 2024
NEWLETTER FRANCE HELICES/ SDS SURFACE DRIVES - MAY 2024NEWLETTER FRANCE HELICES/ SDS SURFACE DRIVES - MAY 2024
NEWLETTER FRANCE HELICES/ SDS SURFACE DRIVES - MAY 2024
 
Involute of a circle,Square, pentagon,HexagonInvolute_Engineering Drawing.pdf
Involute of a circle,Square, pentagon,HexagonInvolute_Engineering Drawing.pdfInvolute of a circle,Square, pentagon,HexagonInvolute_Engineering Drawing.pdf
Involute of a circle,Square, pentagon,HexagonInvolute_Engineering Drawing.pdf
 
What is Coordinate Measuring Machine? CMM Types, Features, Functions
What is Coordinate Measuring Machine? CMM Types, Features, FunctionsWhat is Coordinate Measuring Machine? CMM Types, Features, Functions
What is Coordinate Measuring Machine? CMM Types, Features, Functions
 
Diploma Engineering Drawing Qp-2024 Ece .pdf
Diploma Engineering Drawing Qp-2024 Ece .pdfDiploma Engineering Drawing Qp-2024 Ece .pdf
Diploma Engineering Drawing Qp-2024 Ece .pdf
 
Independent Solar-Powered Electric Vehicle Charging Station
Independent Solar-Powered Electric Vehicle Charging StationIndependent Solar-Powered Electric Vehicle Charging Station
Independent Solar-Powered Electric Vehicle Charging Station
 
Interfacing Analog to Digital Data Converters ee3404.pdf
Interfacing Analog to Digital Data Converters ee3404.pdfInterfacing Analog to Digital Data Converters ee3404.pdf
Interfacing Analog to Digital Data Converters ee3404.pdf
 
21P35A0312 Internship eccccccReport.docx
21P35A0312 Internship eccccccReport.docx21P35A0312 Internship eccccccReport.docx
21P35A0312 Internship eccccccReport.docx
 
Seismic Hazard Assessment Software in Python by Prof. Dr. Costas Sachpazis
Seismic Hazard Assessment Software in Python by Prof. Dr. Costas SachpazisSeismic Hazard Assessment Software in Python by Prof. Dr. Costas Sachpazis
Seismic Hazard Assessment Software in Python by Prof. Dr. Costas Sachpazis
 
History of Indian Railways - the story of Growth & Modernization
History of Indian Railways - the story of Growth & ModernizationHistory of Indian Railways - the story of Growth & Modernization
History of Indian Railways - the story of Growth & Modernization
 
Software Engineering Practical File Front Pages.pdf
Software Engineering Practical File Front Pages.pdfSoftware Engineering Practical File Front Pages.pdf
Software Engineering Practical File Front Pages.pdf
 
Dynamo Scripts for Task IDs and Space Naming.pptx
Dynamo Scripts for Task IDs and Space Naming.pptxDynamo Scripts for Task IDs and Space Naming.pptx
Dynamo Scripts for Task IDs and Space Naming.pptx
 
8th International Conference on Soft Computing, Mathematics and Control (SMC ...
8th International Conference on Soft Computing, Mathematics and Control (SMC ...8th International Conference on Soft Computing, Mathematics and Control (SMC ...
8th International Conference on Soft Computing, Mathematics and Control (SMC ...
 
Final DBMS Manual (2).pdf final lab manual
Final DBMS Manual (2).pdf final lab manualFinal DBMS Manual (2).pdf final lab manual
Final DBMS Manual (2).pdf final lab manual
 
Working Principle of Echo Sounder and Doppler Effect.pdf
Working Principle of Echo Sounder and Doppler Effect.pdfWorking Principle of Echo Sounder and Doppler Effect.pdf
Working Principle of Echo Sounder and Doppler Effect.pdf
 
Research Methodolgy & Intellectual Property Rights Series 1
Research Methodolgy & Intellectual Property Rights Series 1Research Methodolgy & Intellectual Property Rights Series 1
Research Methodolgy & Intellectual Property Rights Series 1
 
Fuzzy logic method-based stress detector with blood pressure and body tempera...
Fuzzy logic method-based stress detector with blood pressure and body tempera...Fuzzy logic method-based stress detector with blood pressure and body tempera...
Fuzzy logic method-based stress detector with blood pressure and body tempera...
 

Featured

How Race, Age and Gender Shape Attitudes Towards Mental Health
How Race, Age and Gender Shape Attitudes Towards Mental HealthHow Race, Age and Gender Shape Attitudes Towards Mental Health
How Race, Age and Gender Shape Attitudes Towards Mental Health
ThinkNow
 
Social Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie InsightsSocial Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie Insights
Kurio // The Social Media Age(ncy)
 

Featured (20)

2024 State of Marketing Report – by Hubspot
2024 State of Marketing Report – by Hubspot2024 State of Marketing Report – by Hubspot
2024 State of Marketing Report – by Hubspot
 
Everything You Need To Know About ChatGPT
Everything You Need To Know About ChatGPTEverything You Need To Know About ChatGPT
Everything You Need To Know About ChatGPT
 
Product Design Trends in 2024 | Teenage Engineerings
Product Design Trends in 2024 | Teenage EngineeringsProduct Design Trends in 2024 | Teenage Engineerings
Product Design Trends in 2024 | Teenage Engineerings
 
How Race, Age and Gender Shape Attitudes Towards Mental Health
How Race, Age and Gender Shape Attitudes Towards Mental HealthHow Race, Age and Gender Shape Attitudes Towards Mental Health
How Race, Age and Gender Shape Attitudes Towards Mental Health
 
AI Trends in Creative Operations 2024 by Artwork Flow.pdf
AI Trends in Creative Operations 2024 by Artwork Flow.pdfAI Trends in Creative Operations 2024 by Artwork Flow.pdf
AI Trends in Creative Operations 2024 by Artwork Flow.pdf
 
Skeleton Culture Code
Skeleton Culture CodeSkeleton Culture Code
Skeleton Culture Code
 
PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024
 
Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)
 
How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024
 
Social Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie InsightsSocial Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie Insights
 
Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024
 
5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary
 
ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd
 
Getting into the tech field. what next
Getting into the tech field. what next Getting into the tech field. what next
Getting into the tech field. what next
 
Google's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search IntentGoogle's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search Intent
 
How to have difficult conversations
How to have difficult conversations How to have difficult conversations
How to have difficult conversations
 
Introduction to Data Science
Introduction to Data ScienceIntroduction to Data Science
Introduction to Data Science
 
Time Management & Productivity - Best Practices
Time Management & Productivity -  Best PracticesTime Management & Productivity -  Best Practices
Time Management & Productivity - Best Practices
 
The six step guide to practical project management
The six step guide to practical project managementThe six step guide to practical project management
The six step guide to practical project management
 
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
 

Marshall calculation PDF

  • 1. By Gizaw Mekonnen Eshete Marshall Mix Design of 100% reclaimed material and virgin aggregate mixtures Key Can be chenged In put Don’t Edit Calculated output Don’t Edit Result INPUT: GIVEN BASIC DATA FOR SAMPLE OF PAVING MIXTURE a) Constituents: Adasia Specific Gravity Test Meth od Mixture Compositon % by weight of: Material Aparrent Bulk Dry Tot al Mix Dry Aggregat es Asphalt Cement Gb 1.033 T-28 Pb 4.580152672 P'b 4.80 Coarse Aggregates 2.564 G1 2.52 KT-6-I P1 54.38931298 P'1 57.00 Fine Aggregates 1.83 G1 2.59 KT-6-II P2 39.1221374 P'2 41.00 Miniral filler 3.2 G2 3.10 KT-6-II P3 1.908396947 P'3 2.00 100 weight 104.80 % Gmb = 2.285 Gmm = 2.445 Theoretical Maximum Specific Gravity Pmm = 100 % CF= 0.021
  • 2. CALCULATIONS Formula 1 Mixture composition a, Pb= Percent asphalt, total mixture basis. 4.58 % b, P1= Percent Coarse Aggr., total mixture basis. 54.39 % c, P2= Percent fine Aggr., total mixture basis. 39.12 % d, P3= Percent filler, total mixture basis. 1.908 e, Ps= aggregate, % by total weight of mix (P1+ P2+ P3+ Pn) 95.42 2 Specific Gravity a, Gsb= (Gt) Bulk dry specific gravity of the total aggregate 2.559 a, Gsb= (Gt) Bulk dry specific gravity of the total aggregate 2.596 b, Gse = Effective specific gravity of aggregate 2.617 c, Gsa=Apparent Specific Gravity 2.797 d, Gmm = max. specific gravity of paving mixture (no air voids), (KT-39)2.445 𝑃1 = 𝑃1′ × 100 100 + 𝑃𝑏′ 𝑃𝑏 = 𝑃𝑏′ × 100 100 + 𝑃𝑏′ 𝑃2 = 𝑃2′ × 100 100 + 𝑃𝑏′ 𝐺𝑠𝑏 = 𝑃1 + 𝑃2 + ⋯ . 𝑛 𝑃1 𝐺1 + 𝑃1 𝐺1 + ⋯ . 𝑃𝑛 𝐺 𝑛 𝐺𝑠𝑒 = 𝑃𝑚𝑚 − 𝑃𝑏 𝑃𝑚𝑚 𝐺 𝑚𝑚 − 𝑃𝑏 𝐺 𝑏 𝐺 𝑚𝑚 = 𝑃𝑚𝑚 𝑃𝑠 𝐺𝑠𝑒 + 𝑃𝑏 𝐺 𝑏 𝑃𝑠 = (𝑃1 + 𝑃2 + 𝑃3 + 𝑃𝑛) 𝐺𝑠𝑎 = 𝑃1 + 𝑃2 𝑃1 𝐺𝑏1 + 𝑃2 𝐺𝑏2 𝐺𝑠𝑏 = 𝐺𝑠𝑒- CF 𝑃3 = 𝑃3′ × 100 100 + 𝑃𝑏′
  • 3. 3 Pba= absorbed asphalt, percent by weight of aggregate. 0.897 % 4 Pbe= effective asphalt content, percent by total weight of mixture.3.724 % 4 Pbe= effective asphalt content, percent by total weight of mixture.4.275 % 5 Ps= aggregate, percent by total weight of mixture. 95.42 95.42 % 6 Voids b, VMA = voids in mineral aggregate, percent of bulk vol. 14.78 % ,a VMA = voids in mineral aggregate (percent of bulk vol.) 15.99 % c, Vv= air voids in compacted mixture, % of total volume. 6.541 % VTM= void in a total mix 6.541 % d, VFA=Percent Voids Filled with Asphalt: 55.73 % 𝑃𝑏𝑎 = 100 𝐺𝑠𝑒 − 𝐺𝑠𝑏 𝐺𝑠𝑏 × 𝐺𝑠𝑒 𝐺 𝑏 𝑃𝑏𝑒 = 𝑃𝑏 − 𝑃𝑏𝑎 100 𝑃𝑠 𝑉𝑀𝐴 = 100 − 𝐺 𝑚𝑏 𝑃𝑠 𝐺𝑠𝑏 𝑃𝑠= 100 100 + 𝑃𝑏′ ∗ 100 𝑉𝑀𝐴 = 100 − 𝐺 𝑚𝑏 𝐺𝑠𝑏 ∗ 100 100 + 𝑃𝑏′ ∗ 100 𝑉𝑣 = 100 ∗ 𝐺 𝑚𝑚 − 𝐺 𝑚𝑏 𝐺 𝑚𝑚 𝑉𝐹𝐴 = 𝑃𝑏𝑒 𝐺 𝑏 𝑉𝑀𝐴 𝐺 𝑚𝑏 ∗ 100 𝑉𝑇𝑀 = 1 − 𝐺 𝑚𝑏 𝐺 𝑚𝑚 *100 𝑃𝑏𝑒 = 𝑃𝑏 − *𝑃𝑠 *𝐺 𝑏( 𝐺𝑠𝑒−𝐺 𝑠𝑏 𝐺 𝑠𝑏×𝐺𝑠𝑒 ) 𝑃𝑠= 𝑃𝑚𝑚 − 𝑃𝑏
  • 4. e, VFA=Percent Voids Filled with Asphalt: 59.11 % F/A Ratio 7 1.17 OUT PUT: REPORT % AC by Wt. Aggr P'b= 4.800 AC by Wt. Mix Pb= 4.580 % Aggr. by Wt. Mix Ps= 95.420 S. G. of Asphalt Gb= 1.033 S. G. of Aggr. (bulk) Gsb= 2.559 Max. S. G. Mix (KT-39) Gmm = 2.445 (computed) Theo. Max. KG/M3 Eff. S. G. of Aggr. Gse = 2.617 % Abs. Asphalt Pba= 0.897 Eff. Asph. Content Pbe= 3.724 % V. M. A. VMA = 14.776 S. G. of plugs (KT-15) Gmb = 2.285 Lab Plugs KG/M3 % Air Voids Vv=VIM 6.541 % Voids Filled VFB= 55.734 𝑉𝐹𝐴 == 𝑉𝑀𝐴 − 𝑃𝑎 𝑉𝑀𝐴 100