Research Article | | Peer-Reviewed

Determination and Analysis of Radiation Shielding Properties of Some Selected Building Materials

Received: 22 December 2023     Accepted: 18 January 2024     Published: 2 April 2024
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Abstract

Background: Radiation shielding primarily is based on the principle of attenuation of beams of X-ray or gamma radiation by absorption or scattering of the radiation that results due to the interaction between penetrating radiation and matter, radiation shielding properties such as attenuation coefficients obtained as a result of interaction between X-rays and gamma rays with target materials helps to study and confirm the appropriate building materials used for radiation shielding purposes. The linear attenuation coefficient required by radiation engineers in the design and analysis of radiation facilities has been determined and analysed for both gamma ray source Cs-137 and X-ray sources for 662 keV and 60- 120 kVp respectively. Methods: The determination of linear attenuation coefficient was evaluated by the formulation of building materials such as lead, granite, aluminium and concrete by calculating and comparing both experimental and theoretical results for 662 keV and 60-120 kVp using collimated Source-Material-Detector geometry method and XCOM software respectively. Conclusion: The results agreed with similar experimental works and the use of XCOM software with a percentage deviation of 0.44% - 11% at the 95 % confidence level. It was concluded that the results will go in a long way in assisting engineers and radiation professionals in the design and protection of radiation facilities.

Published in Radiation Science and Technology (Volume 10, Issue 1)
DOI 10.11648/j.rst.20241001.12
Page(s) 11-20
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Linear Attenuation, X-rays, Gamma Ray, XCOM

1. Introduction
Electromagnetic radiations associated with high frequencies such as X and Gamma rays play a significant role to provide necessary informations for both medical and non-medical applications hence save thousands of lives each year throughout the world. When radiation interacts with any material, its intensity gradually reduces as a result, the probability of radiation interacting with a material per unit path length was defined by Wood as far back as 1982 . This property, the linear attenuation coefficient of the material is an important quantity used in characterizing the penetration and diffusion of radiation in the medium. An important component of radiation safety programs aims at reducing personnel exposure to ionizing radiation through radiation attenuation. Attenuation data for most commonly used shielding materials have been published and are available in many resources, such as the NIST. WINXCOM database of attenuation coefficient, dosimetry, agriculture, industry, health physics and radiological health . A computer program WINXCOM, developed by Berger and Hubbell calculates photon cross-sections and attenuation coefficient for pure elements and mixtures in the energy range of 1 keV to 100 GeV. Recently, several pieces of research have been conducted on the determination of attenuation coefficient, both theoretically and experimentally for different materials. This mostly depends on the photon energy, the nature of the material and the density of the medium .
Despite there are several studies have been conducted on radiation shielding and shielding materials, there is still a need to find effective construction materials which can give adequate shielding capabilities while taking into consideration the cost-effectiveness since most materials are expensive and not available locally.
The main objectives of this current work is to formulate and experimentally determine the linear attenuation coefficient of Aluminium, Concrete, Lead and Granite. Specifically fabricate species of concrete based on mixing ratios, determine and estimate mass attenuation coefficients, half-value layer, mean free path, tenth value layer, and density of selected building materials using varied energies of X-ray and Gamma-ray sources, compare the current results to other similar results and standards.
2. Materials and Methods
The materials used for the fabrication were mostly local building materials from various districts within the Greater Accra region of Ghana. These were sand, quarry-dusts, Portland cement (Diamond cement), Aluminium, Lead and Granite.
The materials used for the study were prepared at Ghana Atomic Energy Commission (GAEC) mechanical workshop and moulded into rectangular slabs of 100 mm by 100 mm dimensions. The thickness of materials varied, (1.5 - 4.5) mm of Lead, (20-60) mm for Granite and (6-10) mm of Aluminium for transmission experiment. Three different series of concretes were fabricated experimentally using ratios of Quarry dust, sand, Ordinary Portland cement (Diamond Cement) and water as indicated in table 1.
Table 1. Different concrete mixtures with their respective designed codes: C1, C2 and C3.

CONCRETE CODE

QUARRY DUST (g)

CEMENT (g)

RIVER SAND (g)

WATER (g)

W/C RATIO

MIXING RATIO

CSQW (C1)

800

100

400

90

0.90

1:4:8

CQW (C2)

0

800

2400

549.6

0.69

1:3

CSW (C3)

2100

700

0

500

0.71

1:3

These materials were dried in an oven for 24 hours and sieved into powder form at an Environmental laboratory of the Radiation Protection Institute (RPI). Concrete mixtures with different codes C1, C2 and C3, and prepared with specifications of Indian Bureau of Standard (IS 456:2000) as shown in table 1 and moulded with the dimensions of (100 mm x 100 mm) and thicknesses of (20-50) mm. The curing process by watering concrete was done for 28 days while drying the concretes in the sun.

2.1. Cs-137 Irradiation

A narrow-collimated beam of Cesium-137 with the energy of 662 keV installed in the Secondary Standard Dosimetry Laboratory (SSDL) of the Radiation Protection Institute (RPI) and a calibrated Survey meter, used as a detector for the experimental irradiation process. All measurements during the irradiations of the building materials were taken at approximately possible to standard conditions of temperature and pressure (STP). The detector system used was a calibrated Survey meter CANBERRA-RADIAGEM, with a model RAD 2000 and a serial number of 4557. The sensitivity range was 0.3 μSv/hr - 100 mSv/hr. The central horizontal head of the survey meter was aligned to the source using a laser alignment system with the help of the calibration bench at a fixed distance of 100 cm from the focal point of the Cs-137 sources as indicated in figure 1. The setup was designed such that the source of radiation and detector system is on the same level. Different construction materials under investigation with varying thickness were placed at a distance of 50 cm from the radiation source and survey meter for transmission irradiation tests.
Figure 1. Construction material placed between Gamma-ray source and detector.
The irradiation was carried on in two steps: One with the material in place and the second without the material in place for 20 seconds each respectively. The procedure was repeated for different varied construction material of various thicknesses. To reduce the statistical error, the measurements for each type of material sample for a given thickness was repeated 10 times, for the accuracy of the measurements the average values and standard deviations for the readings were computed.

2.2. X-Ray Irradiation

The use of an X-ray facility was carried out at the University of Ghana Hospital. The UNIVERSAL DELFI General X-ray machine with a model collimator type R302 F/A and a serial number R 302/A DHHS was used. The peak voltage ranges from (40 - 150) kVp and maximum current of 200 mA. A calibrated PTW NOMEX Multimeter manufactured by PTW-Freiburg, Germany reference number T11049 and serial number 101758 was used for exposure measurements.
To assure consistency of the performance of the x-ray machine, the following quality assurance task was performed. These were: kVp accuracy test, Reproducibility test and Linearity test. The Nomex meter was placed on the couch at 100 cm, source to detector distance from the X-ray machine. From the console of the x-ray machine in the control room, exposure of x-rays was carried out at tube voltage of (60, 80, 100 120) kVp, tube current of 200 mA and exposure time of 50 ms, and without any construction material between the source and Nomex Multimeter to record the initial readings of exposures. Five readings were taken to reduce the statistical errors between parameters using Nomex software, the reading of parameters such as dose, dose rate, kVp, exposure time and half-value layer were recorded on the datasheet. The different construction material of varying thicknesses was then placed between the x-ray source and the detector at the distance of 5 cm from the detector as indicated in figure 2.
Figure 2. Construction material placed between the X-ray source and Nomex Multimeter detector.
Exposures were carried out five times for each thickness of construction material with energies ranging from (60-120) kVp and the parameters were recorded by using Nomex software installed at the computer.
The density of all materials was assessed by measuring the mass using a calibrated electronic weighing device. The volume of each material was determined from the product of the length, width and height by the use of the Vernier caliper. The density was then estimated using equation 1:
ρ=mV (1)
Where ρ is the density of materials, m is the mass of the materials in g, and v is the volume of the materials in cm
The linear attenuation coefficients were estimated by employing the Beer-Lambert law as a result of interaction between incidents photons and shielding materials (absorbers) by comparing I0 and I which are incident and attenuated quantities (dose rates) with and without the absorber thickness x (cm) as shown in equation 2:
Ix=Ioe-μx (2)
where the µ (cm-1) represents the linear attenuation coefficient of the absorber. The mass attenuation coefficient was estimated using equation 3:
μm=μρ  (3)
Where µm (cm2g-1) represents the mass attenuation coefficient. The average distance at which a single photon travels through the medium of a given material before interacting with materials, the mean free path was estimated as the inverse of the linear attenuation coefficient.
Furthermore, the halve and tenth value layers in centimeters were respectively estimated using equations 4 and 5:
HVL=0.693μ (4)
TVL=2.303μ (5)
The uncertainties associated with each measured value was based solely on statistical sources. The mean values of measurement and associated standard error of the mean were estimated using R-statistical software .
3. Results and Discussions
Tables 2 and 4 shows the results of quality control tests performed on the General Radiography X-ray machine to verify that the machine was working properly and consistently. The results show a good agreement and consistent with the standard.
Table 2. kVp Accuracy.

kVp

kVp Average

% Error

Pass/Fail

60

60.9

1.5

Pass

70

71.0

1.4

Pass

80

80.6

0.7

Pass

90

90.8

0.9

Pass

100

100.6

0.6

Pass

120

120.3

0.2

Pass

Table 3. Reproducibility test.

kVp Average

Time (msec)

Dose (µGy)

80.6

50.5

239.5

80.6

50.0

239.8

80.3

50.5

241.0

80.6

51.0

240.1

80.7

51.0

239.2

81.1

51.0

240.2

Average

80.66

50.67

239.9667

CV

0.0032

0.0081

0.0026

P/F

Pass

Pass

Pass

Table 4. mAs Linearity test.

mAs

Dose (µGy)

µGy/mAs

CV

P/F

4

270.6

67.650

-

-

8

545.2

68.150

0.004

Pass

16

1027

64.188

0.030

Pass

32

2047

63.968

0.002

Pass

64

4085

63.828

0.001

Pass

125

8200.6

65.605

0.014

Pass

Figure 3 shows the results of plots of material thickness and the natural logarithm of the ratio of the final and initial radiation source intensity of the various materials at the 95 % confidence level using a linear modelling approach. The results in general showed an inverse relationship with the source energy. However, each linear attenuation coefficient derived from the slope exhibited a unique characteristic of the material.
Figure 3. Determination of linear attenuation factors of selected materials using a linear modelling technique.
This uniqueness of each material is inherent in the corresponding linear attenuation coefficient as a result. This characteristic is summarized in tables 5, 6, 7, 8 and 9. The mass attenuation coefficient exhibited characteristics similar to the linear attenuation coefficient with an influence on the density of each material. The half-value (HVL) and tenth value layers (TVL) are quantities that describe the interaction of x rays and gamma radiations with the shielding materials, they are very useful to engineers in fulfilling the requirements of radiation protection of facilities.
Table 5. Shielding properties and associated standard errors of the various construction materials using cesium-137 source.

Sample

Thickness (mm)

Density (g/cm3)

Linear attenuation µ (cm-1)

Mass attenuation µm (cm2/g)

Half value layer (cm)

Tenth value (cm)

Mean free path (cm)

Lead

1.5

11.3612

1.5026 ± 0.058

0.1323 ± 0.0051

0.4613

1.5324

0.6655

3.0

1.3911 ± 0.033

0.1224 ± 0.0029

0.4983

1.6555

0.7189

4.5

1.3273 ± 0.025

0.1168 ± 0.0022

0.5222

1.7348

0.7534

Aluminium

6

2.7189

0.1998 ± 0.005

0.0735 ± 0.0020

3.4692

11.5244

5.0050

8

0.2016 ± 0.003

0.0741 ± 0.0014

3.4382

11.4216

4.9603

10

0.1962 ± 0.003

0.0722 ± 0.0014

3.5329

11.7359

5.0968

Granite

20

2.6567

0.1952± 0.0029

0.0735 ± 0.0018

3.5510

11.7960

5.1230

40

0.1924± 0.0036

0.0724 ± 0.0019

3.6026

11.9677

5.1976

60

0.1874 ± 0.0032

0.0705 ± 0.0018

3.6988

12.2870

5.3362

Concrete (C1)

50

2.0248

0.1513 ± 0.0027

0.0747 ± 0.0019

4.5813

15.2187

6.6094

70

0.1481 ± 0.0021

0.0731 ± 0.0017

4.6803

15.5475

6.7522

90

0.1470 ± 0.0033

0.0726 ± 0.0021

4.7153

15.6638

6.8027

Concrete (C2)

50

2.3260

0.1642 ± 0.0026

0.0706 ± 0.0012

4.2214

14.0231

6.0901

70

0.1691 ± 0.0025

0.0727 ± 0.0012

4.0990

13.6167

5.9137

90

0.1717 ± 0.0034

0.0738 ± 0.0015

4.0370

13.4105

5.8241

Concrete (C3)

50

2.0724

0.1531 ± 0.0025

0.0739 ± 0.0018

4.5274

15.0397

6.5317

70

0.1600 ± 0.0029

0.0772 ± 0.0015

4.3322

14.3912

6.2500

90

0.1623 ± 0.0044

0.0783 ± 0.0022

4.2708

14.1872

6.1614

Table 6. Shielding properties and associated standard errors of the various construction materials using X-ray source at 60 kVp.

Sample

Thickness (mm)

Density (g/cm3)

Linear attenuation µ (cm-1)

Mass Attenuation µm (cm2/g)

Half Value Layer (cm)

Tenth Value Layer (cm)

Mean Free Path (cm)

Granite

20

2.6567

1.6076 ± 0.0064

0.6051 ± 0.012

0.4312

1.4323

0.6220

40

1.3267 ± 0.022

0.4994 ± 0.013

0.5225

1.7356

0.7537

60

0.9521 ± 0.015

0.3584 ± 0.0087

0.7280

2.4184

1.0503

Aluminum

6

2.7189

2.1017 ± 0.020

0.7730 ± 0.011

0.3298

1.0956

0.4758

8

1.9603 ± 0.016

0.7210 ± 0.0099

0.3536

1.1746

0.5101

10

1.8604 ± 0.017

0.6842 ± 0.0098

0.3726

1.2377

0.5375

Concrete (C1)

20

2.0248

1.3566 ± 0.0059

0.6670 ± 0.013

0.5109

1.6973

0.7371

40

1.1345 ± 0.0063

0.5603 ± 0.011

0.6110

2.0296

0.8814

50

1.0514 ± 0.0044

0.5193 ± 0.010

0.6593

2.1900

0.9511

Concrete (C2)

20

2.3260

1.5628 ± 0.0048

0.6719 ± 0.006

0.4435

1.4734

0.6399

40

1.3164 ± 0.0098

0.5659 ± 0.0064

0.5265

1.7492

0.7596

50

1.1263 ± 0.0287

0.4842 ± 0.013

0.6154

2.0444

0.8879

Concrete (C3)

20

2.0724

1.7057 ± 0.011

0.8231 ± 0.013

0.4064

1.3499

0.5863

40

1.3955 ± 0.039

0.6734 ± 0.021

0.4967

1.6500

0.7166

50

1.1722 ± 0.018

0.5656 ± 0.012

0.5913

1.9643

0.8531

Table 7. Shielding properties and associated standard errors of the various construction materials using X-ray source at 80 kVp.

Sample

Thickness (mm)

Density (g/cm3)

Linear attenuation µ (cm-1)

Mass Attenuation µm (cm2/g)

Half Value Layer (cm)

Tenth Value Layer (cm)

Mean Free Path (cm)

Granite

20

2.6567

1.2219 ± 0.0037

0.4599 ± 0.0087

0.5673

1.8844

0.8184

40

0.9949 ± 0.011

0.3745 ± 0.0081

0.6967

2.3144

1.0051

60

0.8878 ± 0.012

0.3342 ± 0.0077

0.7807

2.5936

1.1264

Aluminum

6

2.7189

1.6983 ± 0.014

0.6246 ± 0.0086

0.4081

1.3558

0.5888

8

1.5686 ± 0.0098

0.5769 ± 0.0073

0.4419

1.4679

0.6375

10

1.4759 ± 0.0074

0.5428 ± 0.0065

0.4696

1.5601

0.6776

Concrete (C1)

20

2.0248

1.0587 ± 0.0027

0.5229 ± 0.010

0.6547

2.1749

0.9446

40

0.8467 ± 0.0083

0.4182 ± 0.0092

0.8186

2.7195

1.1811

50

0.7789 ± 0.0089

0.3847 ± 0.0087

0.8899

2.9562

1.2839

Concrete (C2)

20

2.3260

1.1913 ± 0.0038

0.5122 ± 0.0046

0.5818

1.9328

0.8394

40

0.9896 ± 0.0062

0.4255 ± 0.0045

0.7004

2.3268

1.0105

50

0.8434 ± 0.0065

0.3626 ± 0.0041

0.8218

2.7301

1.1857

Concrete (C3)

20

2.0724

1.2718 ± 0.0049

0.6137 ± 0.0091

1.8105

1.8105

0.7863

40

1.0267 ± 0.0061

0.4954 ± 0.0077

0.6751

2.2427

0.9740

50

0.8539 ± 0.0069

0.4120 ± 0.0068

0.8117

2.6966

1.1711

Table 8. Shielding properties and associated standard errors of the various construction materials using X-ray source at 100 kVp.

Sample

Thickness (mm)

Density (g/cm3)

Linear attenuation µ (cm-1)

Mass Attenuation µm (cm2/g)

Half Value Layer (cm)

Tenth Value Layer (cm)

Mean Free Path (cm)

Granite

20

2.6567

1.0022 ± 0.0031

0.3772 ± 0.0071

0.6916

2.2975

0.9978

40

0.8275 ± 0.0012

0.3115 ± 0.0058

0.8376

2.7826

1.2085

60

0.7578 ± 0.0037

0.2852 ± 0.0055

0.9147

3.0385

1.3196

Aluminum

6

2.7189

1.3976 ± 0.012

0.5140 ± 0.0071

0.4960

1.6475

0.7155

8

1.2906 ± 0.0081

0.4747 ± 0.0060

0.5371

1.7841

0.7748

10

1.2164 ± 0.0061

0.4474 ± 0.0054

0.5698

1.8930

0.8221

Concrete (C1)

20

2.0248

0.8586 ± 0.0023

0.4240 ± 0.0084

0.8073

2.6818

1.1647

40

0.7043 ± 0.0023

0.3478 ± 0.0069

0.9842

3.2693

1.4198

50

0.6449 ± 0.0021

0.3185 ± 0.0063

1.0748

3.5705

1.5506

Concrete (C2)

20

2.3260

1.0261 ± 0.0026

0.4411 ± 0.0039

0.6755

2.2440

0.9746

40

0.8225 ± 0.0031

0.3536 ± 0.0033

0.8427

2.7995

1.2158

50

0.6931 ± 0.0036

0.2980 ± 0.0029

1.0001

3.3222

1.4428

Concrete (C3)

20

2.0724

1.0186 ± 0.0029

0.4915 ± 0.0072

0.6805

2.2605

0.9817

40

0.8395 ± 0.0015

0.4051 ± 0.0059

0.8257

2.7428

1.1912

50

0.7094 ± 0.0032

0.3423 ± 0.0051

0.9771

3.2458

1.4096

Table 9. Shielding properties and associated standard errors of the various construction materials using X-ray source at 120 kVp.

Sample

Thickness (mm)

Density (g/cm3)

Linear attenuation µ (cm-1)

Mass Attenuation µm (cm2/g)

Half Value Layer (cm)

Tenth Value Layer (cm)

Mean Free Path (cm)

Granite

20

2.6567

0.9382 ± 0.002

0.3531 ± 0.0066

0.7388

2.4543

1.0659

40

0.7393 ± 0.0013

0.2783 ± 0.0053

0.9376

3.1145

1.3526

60

0.6569 ± 0.0017

0.2473 ± 0.0047

1.0552

3.5052

1.5223

Aluminium

6

2.7189

1.2033 ± 0.001

0.4426 ± 0.0049

0.5760

1.9136

0.8310

8

1.1114 ± 0.006

0.4088 ± 0.0050

0.6237

2.0718

0.8998

10

1.0471 ± 0.005

0.3851 ± 0.0048

0.6620

2.1990

0.9550

Concrete (C1)

20

2.0248

0.7647 ± 0.0019

0.3777 ± 0.0075

0.9064

3.0111

1.3077

40

0.6184 ± 0.00077

0.3054 ± 0.0060

1.1209

3.7235

1.6171

50

0.5596 ± 0.00066

0.2764 ± 0.0055

1.2386

4.1147

1.7870

Concrete (C2)

20

2.3260

0.8581 ± 0.0021

0.3689 ± 0.0033

0.8078

2.6834

1.1654

40

0.7152 ± 0.00091

0.3075 ± 0.0027

0.9692

3.2195

1.3982

50

0.6050 ± 0.00069

0.2601 ± 0.0023

1.1457

3.8059

1.6529

Concrete (C3)

20

2.0724

0.8882 ± 0.0022

0.4286 ± 0.0063

0.7804

2.5924

1.1259

40

0.7330 ± 0.00095

0.3537 ± 0.0051

0.9456

3.1413

1.3643

50

0.6134 ± 0.00067

0.2960 ± 0.0043

1.1300

3.7538

1.6303

Mean free path (MFP) is the average distance a photon traverses between collisions. The range of a single photon in matter cannot be predicted, thus the average distance travelled before a collision can be calculated from the measured values of linear attenuation coefficients of all construction materials. It can be observed from table 5 that low energy photons can lose its energy in a short distance while high energy photon needs long distance to lose its energy, this implies low energy of photons have lower mean free path and high energy photons have a higher mean free path. It can also be seen that each construction material has its mean free path, this is due to its dependence on linear attenuation coefficient and it's known that the linear attenuation depends on the elemental or chemical composition of construction material and the energy of the incident photon.
Comparing the results of this current work with a simulation using XCOM program version 3.1 yielded a good agreement with a maximum deviation of 11 %. This is indicated in table 10.
The percentage deviations (PD) of attenuation coefficients among the measured and theoretical was computed with the use of following relation .
PD = (µρ  exp - μρ  theoryμρ exp) × 100% (6)
Table 10. Experimental and Theoretical Linear Attenuation Coefficients (cm-1).

Construction Material

Experiment

Theory

% Deviation

Lead

1.4070 ± 3.86E-2

1.2507

11.11

Aluminium

0.1989 ± 3.66E-3

0.2015

1.30

Granite

0.1917 ± 3.23E-3

0.2047

6.78

Concrete (C1)

0.1488 ± 2.70E-3

0.1553

3.86

Concrete (C2)

0.1683 ± 2.83E-3

0.1773

5.34

Concrete (C3)

0.1585 ± 3.26E-3

0.1592

0.44

Comparing this current work to similarly published works elsewhere showed a good agreement.
Table 11. Shows a summary of the results.

Material

Exp This study

XCOM This Study

Exp [15]

XCOM [11]

Granite

0.0721

0.0769

0.074

0.0767

Exp This Study

XCOM This Study

Exp [4]

XCOM [12]

Lead

0.1175

0.1101

0.1179

0.1101

Exp This study

XCOM This study

Exp [9]

XCOM [13]

Concrete

0.0765

0.0769

0.082

0.078

Exp This Study

XCOM This Study

Exp [10]

XCOM [10]

Aluminum

0.0733

0.07466

0.073

0.074

The variation in the results could be as a result of varied thicknesses employed and variation in formulated densities of some of the materials due to mixing ratios and elemental compositions such as concrete. Materials such as granite and concrete may also be affected by elemental compositions. Furthermore, inconsistencies in the experimental setups and detector geometries could also contribute to the variations in the results.
4. Conclusion
The process of design and selection of efficient construction material for radiation shielding requires proper study of all shielding properties. The linear attenuation coefficient a variation of Concrete, Granite, Lead and aluminium, required by radiation shielding engineers to design facilities has been determined. The results showed a good agreement with a maximum deviation of 11 % at the 95 % confidence level when compared to other similar works elsewhere. Even though the results agreed, there was some variation due to formulations and uncertainties associated with the work.
Acknowledgments
The authors gratefully acknowledge the management of Radiation Protection Institute of the Ghana Atomic Energy Commission and the Department of Medical Physics, Graduate School of Nuclear and Allied Sciences, Legon, Ghana for their assistance to use equipments and facilities during the collection of data. This work was supported by funding from International Atomic Energy Commission (IAEA) through AFRA-NEST programme.
Conflicts of Interest
The authors declare no conflict of interest.
References
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[2] Ragheb, M. Radiation Physics 3rd ed. John Wiley and Sons, 2007.
[3] NIST-National Institute of Standards and Technology. X-ray mass attenuation coeffi cients, 2013.
[4] Hubbell, J. H; Seltzer S. M.; Tables of X-Ray of Mass attenuation coefficient and mass-energy absorption coefficient 1 KeV to 20 MeV for elements Z=1 to 92 and 48 additional substances of dosimetric interest, 1995.
[5] Vandana, A. T.; Pawar, P. P.; Shengule, D. R.; Jadhav, K. M.; Gamma Ray Photon Interaction Studies of Zn in the Energy Range 360 - 1330keV photons. J App Sci India 4, p. 2191-2196, 2012.
[6] Shultis, J. K.; Faw, R. E. Radiation shielding technology. Health Physics, 88(4), p. 297–322, 2005. Available at:
[7] Rstudio Team.; RSTUDIO.; Integrated Development Environment for R. Rstudio, PBC, Boston, MA URL, 2021. Available at:
[8] Tekin, H. O.; Erguzel, T. T.; Sayyed, M. I.; Singh, V. P.; Manici, T.; Altunsoy, E. E.; Agar, O. An investigation on shielding properties of different granite samples using MCNPX code. Digest Journal of Nanomaterials and Biostructures, 13(2), p. 381-389, 2018.
[9] Georgieva, S.; Barandovski, L. Measurement of the mass attenuation coefficient from 81 keV to 1333 keV for elemental materials Al, Cu and Pb. AIP Conference Proceedings, p. 7–10, 2016. Available at:
[10] Demir, N.; Tarim, U. A.; Popovici, M. A.; Demirci, Z. N.; Gurler, O.; Akkurt, I. Investigation of mass attenuation coefficients of water, concrete and bakelite at different energies using the FLUKA Monte Carlo code. Journal of Radioanalytical and Nuclear Chemistry, 298(2), p. 1303–1307, 2013. Available at:
[11] Pawar, P. P. Measurement of mass and linear attenuation coefficients of gamma-rays of Al for 514, 662 and 1280 keV photons. Journal of Chemical and Pharmaceutical Research, 3(4), p. 899-903, 2011.
[12] Gerward, L.; Guilbert, N.; Jensen, K. B.; Levring, H. WinXCOM - A program for calculating X-ray attenuation coefficients. Radiation Physics and Chemistry, 2004. Available at:
[13] Najam, L. A.; Hashim, A. K.; Ahmed, H. A.; Hassan, I. M. Study the Attenuation Coefficient of Granite to Use It as Shields against Gamma Ray. Scientific Research Publishing, 04(02), p. 33-39, 2016. Available at:
[14] Gökçe, H. S. Experimental and Theoretical (XCOM) Calculation Techniques for Gamma-Ray Attenuation Characteristics of Concrete Shields. 3rd International Conference on Advanced Engineering Technologies, 2019.
[15] Osman, O. Calculation of gamma ray attenuation coefficients of some granite samples using a Monte Carlo simulation code. Journal of Radiation Physics and Chemistry, (144), p. 271-275, 2018.
[16] Agar, O., Sayyed, M. I., Tekin, H. O., Kaky, K. M., Baki, S. O., & Kityk, I. (2019). An Investigation on shielding properties of Bao, Mo03 and P205 based glasses using MCNPX code. Results in Physics, 12, p. 629-634, 2019.
Cite This Article
  • APA Style

    Edmund, E. D., Amoako, J., Deatanyah, P., Matulanya, M. (2024). Determination and Analysis of Radiation Shielding Properties of Some Selected Building Materials. Radiation Science and Technology, 10(1), 11-20. https://doi.org/10.11648/j.rst.20241001.12

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    ACS Style

    Edmund, E. D.; Amoako, J.; Deatanyah, P.; Matulanya, M. Determination and Analysis of Radiation Shielding Properties of Some Selected Building Materials. Radiat. Sci. Technol. 2024, 10(1), 11-20. doi: 10.11648/j.rst.20241001.12

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    AMA Style

    Edmund ED, Amoako J, Deatanyah P, Matulanya M. Determination and Analysis of Radiation Shielding Properties of Some Selected Building Materials. Radiat Sci Technol. 2024;10(1):11-20. doi: 10.11648/j.rst.20241001.12

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  • @article{10.11648/j.rst.20241001.12,
      author = {Elisha Daniel Edmund and Joseph Amoako and Philip Deatanyah and Machibya Matulanya},
      title = {Determination and Analysis of Radiation Shielding Properties of Some Selected Building Materials
    },
      journal = {Radiation Science and Technology},
      volume = {10},
      number = {1},
      pages = {11-20},
      doi = {10.11648/j.rst.20241001.12},
      url = {https://doi.org/10.11648/j.rst.20241001.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.rst.20241001.12},
      abstract = {Background: Radiation shielding primarily is based on the principle of attenuation of beams of X-ray or gamma radiation by absorption or scattering of the radiation that results due to the interaction between penetrating radiation and matter, radiation shielding properties such as attenuation coefficients obtained as a result of interaction between X-rays and gamma rays with target materials helps to study and confirm the appropriate building materials used for radiation shielding purposes. The linear attenuation coefficient required by radiation engineers in the design and analysis of radiation facilities has been determined and analysed for both gamma ray source Cs-137 and X-ray sources for 662 keV and 60- 120 kVp respectively. Methods: The determination of linear attenuation coefficient was evaluated by the formulation of building materials such as lead, granite, aluminium and concrete by calculating and comparing both experimental and theoretical results for 662 keV and 60-120 kVp using collimated Source-Material-Detector geometry method and XCOM software respectively. Conclusion: The results agreed with similar experimental works and the use of XCOM software with a percentage deviation of 0.44% - 11% at the 95 % confidence level. It was concluded that the results will go in a long way in assisting engineers and radiation professionals in the design and protection of radiation facilities.
    },
     year = {2024}
    }
    

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  • TY  - JOUR
    T1  - Determination and Analysis of Radiation Shielding Properties of Some Selected Building Materials
    
    AU  - Elisha Daniel Edmund
    AU  - Joseph Amoako
    AU  - Philip Deatanyah
    AU  - Machibya Matulanya
    Y1  - 2024/04/02
    PY  - 2024
    N1  - https://doi.org/10.11648/j.rst.20241001.12
    DO  - 10.11648/j.rst.20241001.12
    T2  - Radiation Science and Technology
    JF  - Radiation Science and Technology
    JO  - Radiation Science and Technology
    SP  - 11
    EP  - 20
    PB  - Science Publishing Group
    SN  - 2575-5943
    UR  - https://doi.org/10.11648/j.rst.20241001.12
    AB  - Background: Radiation shielding primarily is based on the principle of attenuation of beams of X-ray or gamma radiation by absorption or scattering of the radiation that results due to the interaction between penetrating radiation and matter, radiation shielding properties such as attenuation coefficients obtained as a result of interaction between X-rays and gamma rays with target materials helps to study and confirm the appropriate building materials used for radiation shielding purposes. The linear attenuation coefficient required by radiation engineers in the design and analysis of radiation facilities has been determined and analysed for both gamma ray source Cs-137 and X-ray sources for 662 keV and 60- 120 kVp respectively. Methods: The determination of linear attenuation coefficient was evaluated by the formulation of building materials such as lead, granite, aluminium and concrete by calculating and comparing both experimental and theoretical results for 662 keV and 60-120 kVp using collimated Source-Material-Detector geometry method and XCOM software respectively. Conclusion: The results agreed with similar experimental works and the use of XCOM software with a percentage deviation of 0.44% - 11% at the 95 % confidence level. It was concluded that the results will go in a long way in assisting engineers and radiation professionals in the design and protection of radiation facilities.
    
    VL  - 10
    IS  - 1
    ER  - 

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Author Information
  • Graduate School of Nuclear and Allied Sciences, University of Ghana-Atomic Campus, Accra, Ghana; Tanzania Atomic Energy Commission (TAEC), Dodoma, Tanzania

    Biography: Elisha Daniel Edmund completed his Masters of Philosophy in Nuclear Science and Technology (Health Physics and Radiation Protection) from the University of Ghana in 2021. This work is a part of thesis submitted in fulfilment of the requirements of Masters of Philosophy in Nuclear Science and Technology at the University of Ghana. Since 2018 is employed by Tanzania Atomic Energy Commission (TAEC) as a Radiation Health Physicist.

  • Graduate School of Nuclear and Allied Sciences, University of Ghana-Atomic Campus, Accra, Ghana; Radiation Protection Institute, Ghana Atomic Energy Commission, Accra, Ghana

  • Graduate School of Nuclear and Allied Sciences, University of Ghana-Atomic Campus, Accra, Ghana; Radiation Protection Institute, Ghana Atomic Energy Commission, Accra, Ghana

  • Tanzania Atomic Energy Commission (TAEC), Dodoma, Tanzania