QUALITY CONTROL OF CONSTRUCTION MATERIALS (Acceptance criteria) by K. RAMESH Research Officer, Engineering Materials Laboratory, A.P. Engineering Research.

Slides:



Advertisements
Similar presentations
2E8 Materials (Civil Engineering Component) Civil Engineering Materials Department of Civil, Structural and Environmental Engineering Trinity College Dublin.
Advertisements

Tests to Verify Low Strength Concrete ACI Georgia Chapter Virgil D. Skipper Seminar June 2009 Robert Jenkins, P. E.
Tolerances and Price Impacts Presented by:- Er. Bhagawan Shrestha.
Reinforced Concrete Flexural Members
Inverted Pavements Project: CSSTP (292)01 Troup County “South LaGrange Loop” Georgia Construction Aggregates Associations 2009 Management Workshops.
WELCOME.
> delete the picture and insert your chosen picture using the “insert/image/from file…” menu. Once the image is inserted, resize and “Send to back” using.
Chapter 5: Confidence Intervals.
Inspection, Quality, Variation, Statistical Control and Acceptance Criteria Dr. J.SUDHAKUMAR Assistant Professor Department of Civil Engg. NIT, CALICUT.
Concrete Quality Assurance: How Concrete is Specified and Supplied To Meet Construction Specifications Prepared By: Prof. Marcia C. Belcher Construction.
 Embankment Construction – LOTs  What is the maximum length of a LOT? Mainline pavement lanes, turn lanes, ramps, parking lots, concrete box.
Find the indicated z score: z = Find the indicated z score:.6331 z 0 z = –
Round each number to the level of accuracy given.
Proportioning of Concrete Mixtures
Mixing Water for Concrete. Typical Water Analyses, ppm ChemicalsCity waterSeawater Silica (SiO 2 )0 to 25— Iron (Fe)0 to 0.2— Calcium (Ca)1 to
Quality Control Testing
2002 FDOT/FTBA Construction Conference
Concrete Dry Quantities examples in class Week 3.
2-4 Round 3,531 to the nearest hundred.
Miss Bowen 4th grade math
Lesson 2-6 Example Round 673,088 to the nearest hundred thousand. Step 1Underline the digit in the hundred thousands place. What digit did you underline?
QUALITY CONTROL OF CONSTRUCTION MATERIALS (Water) by K. RAMESH Research Officer, Engineering Materials Laboratory, A.P. Engineering Research Laboratories,
Who Wants To Be A Millionaire?
Rounding Jeopardy $10 $20 $30 $40 $50 $20 $30 $40 $50 $30 $20 $40 $50 $20 $30 $40 $50 $20 $30 $40 $50 Round to the Nearest 100 Round to the Nearest 1,000.
Chapter 2 -Test for one and two means
-Test for one and two means -Test for one and two proportions
Review.
QUALITY CONTROL OF CONSTRUCTION MATERIALS (Cement) by K. RAMESH Research Officer, Engineering Materials Laboratory, A.P. Engineering Research Laboratories,
2.1 Frequency Distribution and Their Graphs NOTES Coach Bridges.
1/33.  Performance based approach  Definitions and responsibilities  Standard requirements  Exposure classes  Fresh concrete requirements  Hardened.
 Mix Proportion  Tasks  Basic Requirements  Principle  Steps and Methods  Design of Preliminary Mix  Ascertaining the basic mix proportion  Laboratory.
A comparison of two quantities by division. You can write a ratio three different ways.
QUALITY CONTROL OF CONSTRUCTION MATERIALS by K. RAMESH Research Officer, Engineering Materials Laboratory, A.P. Engineering Research Laboratories, Himayatsagar,
Kevin Gudmundsson Legal Metrology Advisor Trading Standards MBIE New Zealand Ben Aitken Trading Standards Officer Trading Standards MBIE New Zealand Metrological.
Percents Greater Than 100 or Less Than 1
Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall2(2)-1 Chapter 2: Displaying and Summarizing Data Part 2: Descriptive Statistics.
Confidence Intervals Chapter 6. § 6.1 Confidence Intervals for the Mean (Large Samples)
AP Statistics Section 10.1 C Determining Necessary Sample Size.
Types of Concrete Mixes
MATH Section 4.4.
PRESENTATION ON RESOURCE EFFICIENT BRICKS & FLY-ASH FILLING IN IIT ROPAR PROJECT by Er. Gopal Varshney S.E., CPWD CPWD, IIT ROPAR, PUNJAB.
CEMENT CONCRETE MIX DESIGN
CIVE Engineering Mathematics 2.2 (20 credits) Statistics and Probability Lecture 6 Confidence intervals Confidence intervals for the sample mean.
GOVERNMENT OF TAMIL NADU HIGHWAYS DEPARTMENT HIGHWAYS RESEARCH STATION Training program for newly recruited Assistant Engineers.
Total Coliform Rule (TCR)
Estimating Population Means (Large Samples)
CONCRETE MIX DESIGN.
STANDARD ERROR OF SAMPLE
Rounding Jeopardy.
ALDOT Specification Updates
MODULE 4 BUILDING MATERIALS.
Effect of Removing the Amelioration Period on Design & Construction of Lime Stabilised Subgrades in Local Government Scott Young BE (Hons), RPEng (Civil),
G.GUNA….SRVEC DEPARTMENT OF CIVIL ENGINEERING
الوحدة 20 مهارات التواصل مع الآخرين
Higher National Certificate in Engineering
Rounding Review Tens and Hundreds
Rounding Review Tens and Hundreds
عمل الطالبة : هايدى محمد عبد المنعم حسين
Sequential Analysis Team: The Authors 11/22/2018 Case 16 Example.
Elementary Statistics: Picturing The World
MATH 2311 Section 4.4.
Rounding Review Tens and Hundreds
2018 Revisions to NYCDOB Code
Estimating Sums and Differences of Fractions and Mixed Numbers
CONCRETE MIX DESIGN PRACTICE OF ETHIOPIA AND ITS APPLICATION ON CONSTRUCTION SITES Presented by: Adiamseged Eyassu WORKSHOP ON CONCRETE CONSTRUCTION PRACTICES.
Confidence Intervals for a Standard Deviation
SIMPLE INEQUALITIES.
Rounding Mixed Numbers
Section 9.2: Sample Proportions
Nagarjuna college of engineering and technology
Presentation transcript:

QUALITY CONTROL OF CONSTRUCTION MATERIALS (Acceptance criteria) by K. RAMESH Research Officer, Engineering Materials Laboratory, A.P. Engineering Research Laboratories, Himayatsagar, HYDERABAD

Acceptance criteria for designed concrete mix

Minimum frequency of sampling S.No.Quantity of concrete in the work (in Cum.) No. of samples & above4 + 1 for each 50 cum. Or part there of Note: At least one sample shall be taken from each shift.

Characteristic compressive strength compliance requirement S.No.Specified grade Mean of the group of 4 non- overlapping consecutive test results in N/mm 2 Individual test results in N/mm 2 1.M 15≥f ck x established standard deviation (rounded to nearest 0.5 N/mm 2 ) Or f ck + 3 N/mm 2, which ever is greater ≥ f ck - 3 N/mm 2 2.M 20 or above ≥f ck x established standard deviation (rounded to nearest 0.5 N/mm 2 ) Or f ck + 4 N/mm 2, which ever is greater ≥ f ck - 4 N/mm 2

Example Grade of concrete = M15 Quantity of concrete = 50 Cum. No. of samples taken = 4 Their 28 days compressive strengths in N/mm 2 = 12,15,16,18 Mean compressive strengths in N/mm 2 = Col. 3 value = Greater of ( x 3.5 = 17.9, = 18) = 18 > 15.25, hence not satisfying. Col.4 value = 15 – 3 = 12 is equal to 12, hence satsifying, In total not satisfying.