Easa, S M and Can, E K (1985) Optimization model for aggregate blending. Journal of Construction Engineering and Management, 111(3), pp. 216-230. ISSN 0733-9364
Abstract
An optimization model of aggregate blending is presented that considers gradation, cost, and design requirements and is applicable to the blending of any number of aggregates. The model is formulated as a quadratic programming problem that minimizes the mean deviation from midpoint specification limits, subject to constraints on the preceding requirements. The model is applied to a numerical aggregate blending problem. Sensitivity analysis is performed to show how the model can also be used to minimize cost or to provide a trade-off between mean deviation and cost. Extensions of the model to accommodate special practical cases are examined.
| Item Type: | Article |
|---|---|
| Index terms: | programming, aggregate, deviation, sensitivity analysis, specification |
| Subjects: | environmental hazards, financial and cost management, materials science, programming, contractual condition |
| Topics: | Contract Administration, Cost Management, Sustainability, Digital Applications, Engineering Principles |
| Descriptive scope: | 2 PC |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here