Page 1 of 17

European Journal of Applied Sciences – Vol. 9, No. 6

Publication Date: December 25, 2021

DOI:10.14738/aivp.96.11475. Dorcas, O. B. (2021). Investigating the Strength Properties of Concrete containing Construction & Demolition waste using Response

Surface Methodology Techniques (RSM). European Journal of Applied Sciences, 9(6). 629-645.

Services for Science and Education – United Kingdom

Investigating the Strength Properties of Concrete containing

Construction & Demolition waste using Response Surface

Methodology Techniques (RSM)

Oluyemi-Ayiniowu Bamitale Dorcas

School of Engineering & Engineering Technology

Department of Civil Engineering, Federal University of Technology

Akure, Nigeria

ABSTRACT

The framework through which waste from Construction and Demolition activities

could be reused in concrete was developed using the Response Surface

Methodology techniques. An experimental design to determine the proportions of

CDW waste which include Recycled Concrete Aggregate (RCA) and Recycled Fine

Aggregate (RFA) to be mixed with other concrete constituents using Central

Composite Design (C.C.D) orthogonal design was performed. Four factor variables

which include %RCA to replace granite, Water-cement ratio, %RFA to replace river

sand and RCA aggregate size was used while the response variable is the concrete

compressive and flexural strength. Thirty (30) experimental runs were generated

and conducted. The result was then analyzed using the RSM regression analysis. The

result showed that %RCA showed the highest influence on both compressive and

flexural strength of the CDW concrete. The Contour analysis also showed the

behavior of the strength properties of CDW concrete to different variations of the

factor variables. The research showed that the use of CD waste in concrete

production help improve the properties of concrete.

Keywords: Response surface methodology; Construction and demolition waste; Central

Composite Design; Flexural Strength; Compressive Strength.

INTRODUCTION

Buildings, roads, highways, bridges, utility facilities and dams are examples of civil-engineering

structures where significant volumes of construction materials are used. When new buildings

and civil engineering structures are renovated or demolished, construction and demolition

(CD) materials are produced. Concrete, glass, plastics, salvaged building components and other

large, heavy materials are frequently contained in CD components. According to Shen et al. [8],

“C & D waste is as a combination of surplus constituents generated from construction,

renovation and destruction activities such as site clearance, land excavation and roadwork and

demolition”. The majority of CD trash generated in Nigeria is being disposed of in out-of-state

landfills, with only a small percentage being recycled.

From 2015 to 2019, construction and demolition (CD) activities in Nigeria produced 1.13 billion

tonnes, whereas in the United States they produced over 530 million tonnes [9]. When

compared to other industrial categories, construction operations in Nigeria are the second

greatest generator of garbage, second only to the plastics, food and beverage industry,

Page 2 of 17

630

European Journal of Applied Sciences (EJAS) Vol. 9, Issue 6, December-2021

Services for Science and Education – United Kingdom

accounting for 35 percent of total waste creation [9]. According to the Environmental

Protection Agency’s waste characterization analysis in the Advancing Suitable Materials

Management 2018 fact sheet, slightly over 455 million tonnes of CDW debris were diverted into

next use (recycling) out of 600 billion tonnes of CDW waste created in the United States while

the remaining were sent to landfills. The situation in underdeveloped countries in which

Nigeria belongs to is the inverse. The majority of garbage created in Nigeria, including CDW, are

disposed of in landfills. Unlike some other construction waste materials, which can either be

reused in the construction process or sold, CDWs can only be utilized as a filler material, and

the vast majority of it (more than 90 percent) ended up in landfills. However, the rapid growth

in real estate construction over the last three years has resulted in a scarcity of land and had

forced urban housing development near landfills, posing numerous environmental risks. As the

rate of development rises, more CDWs will be generated, causing greater waste management

issues. As a result, sustainable alternatives to reusing construction demolition wastes (CDWs)

created in the building industry are required [10].

LITERATURE REVIEW

Concrete is the most frequently used construction material in the world; the raw ingredients

required are readily available in most parts of the globe, and its manufacture does not

necessitate sophisticated or expensive machinery [1]. Concrete is a high-strength, long-lasting

composite material made up of cement, fine and coarse aggregate. The rapid rise of

urbanization and industrialization has resulted in a substantial increase in consumption.

Because natural aggregate makes up more than 70% of the volume of concrete, any increase in

its use will increase the amount of natural aggregate consumed [11]. In Nigeria, around 40

billion tons of natural aggregate are consumed each year in the manufacturing of concrete to

meet the various needs of the construction industry. Concrete is a non-sustainable material due

to this vast use of natural resource. Thousand of years are required to create a natural aggregate

source. The pace of natural aggregate formation is substantially lower than the current rate of

consumption, which can only lead to its depletion. [12]. As a result, efforts to find and employ a

suitable alternative construction material that is both cost-effective and viable in terms of

strength and durability have intensified [1]. Because CDW is made from building debris, it has

qualities that are similar to natural aggregates, such as high-water absorption that can be

lowered by adding tiny granular particles. The use of CDW as a substitute aggregrate for

concrete reduces natural aggregate usage as well as landfill difficulties. [13].

Response Surface Methodology (RSM) is a statistical analytic technique in which each response

is linked to a set of variables in order to evaluate the effect, relationship and interaction

between the variables and the response. RSM analysis entails creating a series of experiments

and collecting the experimental results as responses, then validating the accuracy and

optimizing the variables to satisfy the intended response using response surface numerical

models. [2]. RSM is a useful statistical method for designing experiments, generating models,

evaluating factors and finding the best search conditions. RSM is frequently employed in

circumstances where a number of variables influence one or more performance aspects, such

as the response. It’s used to improve one or more responses or to meet a set of requirements.

[3-6]. RSM offers statistically proven predictive models that may be tweaked to discover the

best process set-up. When numerous factors influence one or more performance attributes or

reactions, RSM is commonly utilized. RSM, as an optimization tool, is used to improve one or

more responses or to meet a set of requirements. RSM interprets experimental results using a

Page 3 of 17

631

Dorcas, O. B. (2021). Investigating the Strength Properties of Concrete containing Construction & Demolition waste using Response Surface

Methodology Techniques (RSM). European Journal of Applied Sciences, 9(6). 629-645.

URL: http://dx.doi.org/10.14738/aivp.96.11475

non-linear response surface approach and gives sufficient experimental interpretations as part

of the final result [14]. The stages involved in most RSM applications include:

o A screening factor, which is run to reduce the number of factors (independent) variables

to a relative few, so the procedure will be more efficient and require smaller number of

runs or tests.

o Determination is made on current levels of the major effect factors resulting in a value

for the response that is close to the optimum region. If the current levels of the factors

are not consistent with optimum performance, then the experimenter must adjust the

process variables that will lead the process toward the optimum level.

o Researchers carry out the chosen experimental design according to the selected

experimental matrix.

o Mathematical/statistical models of the experimental design data are developed by

fitting linear or quadratic polynomial functions. The fitness of the models then needs to

be evaluated.

o The stationary points (optimum values) are obtained for the variables

MATERIAL AND METHODS

Materials Used

Grade 42.5 Portland cement, high range water reduction admixture, river sand with a specific

gravity of 2.58 as fine aggregate, granite passing through sieve size 20 as coarse aggregate, and

portable water for mixing were utilized in the concrete preparation. The water admixture was

employed to improve the concrete’s workability. The Recycled Coarse Aggregate (RCA) or

simply recycle aggregate (RA) used in this study was extracted from construction demolition

waste at recycling centers. The Recycled Fine Aggregate (RFA) used consisted of broken glass

and ceramic tiles. These materials was extracted from construction demolition wastes and then

grounded together into finer particle sizes corresponding to that obtained from the Response

Surface Methodology C.C.D experimental design.

Experimental Mixing and Casting

The cement rate was kept constant in the concrete mix samples, while the river sand was

partially replaced by recycled fine aggregate (RFA) and the granite by recycled coarse

aggregate. The Central Composite Design type of the Response Surface Methodology

Experimental designs determined the percentages of replacement in both circumstances. A

tilting drum mixer was used to make the concrete mix. The mixer’s revolution speed was

60rpm, and the total mixing time was variable. Compressive and flexural strength tests were

performed on 100mm x 100mm x 100mm casted cubes and 225mm x 450mm beams

respectively. The casted samples were prepared by pouring the concrete into a pre-lubricated

mould and compacting it in three stages. These samples were then covered in wet sacks for 24

hours in the laboratory before being de-moulded and cured in water before testing. The

compressive and flexural tests were performed after 28 days

Compressive Strength Test

The compression testing machine was used for the testing. Before putting the specimen, the

bearing surface of the supporting and loading rollers were wiped clean. The specimens were

positioned by applying a weight on the uppermost surface of the specimens. The specimens

were positioned with the loading device with great care. The maximum load was recorded

when the dial stopped moving while the load was steadily increased. The specimen’s