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Article Citation:
Shahryar Heidari and Siyamak Bagheriyan
Earthquake and impact of soil type on content of the result spectrum
Journal of Research in Ecology (2016) 6(8): 2131-2141
JournalofResearchinBiology
Earthquake and impact of soil type on content of the result spectrum
Keywords:
Response spectrum, earthquake, soil type, accelerogram, seismosignal.
ABSTRACT:
There are various factors which effect on spectrum of earthquake such as:
soil type, magnitude of earthquake, distance to earthquake center, type of fault,
duration and damping of earthquake. The research was aimed to investigate the
effects of soil on the spectrum of earthquake. Therefore, several accelerograms for
three different locations around the world have been selected from Berkeley
University website. Then the selected accelerograms were scaled up with number 1
for scaling the spectrums. The spectrums of accelerograms and the records of
earthquake were drawn by seismosignal software. Finally, the effect of different soil
were investigated on the spectrum of response earthquake. For increasing the
accuracy of results, similar effective parameter have been selected in choosing of
accelerograms. Results of the research were as follows; the domain of spectrum was
higher due to increasing the hardness of soil in harez um similar design factor in low
periods and the domain of spectrum was higher due to increasing the softness of soil
in higher periods. The diagrams are more gatherer and possess a greater amount in
harder soil and are is more extent and possess a lower amount in the softer soil.
2131-2141 | JRB | 2016 | Vol 6 | No 8
This article is governed by the Creative Commons Attribution License (http://creativecommons.org/
licenses/by/4.0), which gives permission for unrestricted use, non-commercial, distribution and
reproduction in all medium, provided the original work is properly cited.
www.jresearchbiology.com
Journal of Research in Biology
An International
Scientific Research Journal
Authors:
Shahryar Heidari and
Siyamak Bagheriyan
Institution:
Department of Civil
Engineering, Shahryar
Branch, Islamic Azad
University, Tehran, Iran.
Corresponding author:
Shahryar Heidari
Email Id:
Web Address:
http://jresearchbiology.com/
documents/RA0614.pdf
Dates:
Received: 28 Sep 2016 Accepted: 16 Oct 2016 Published: 18 Nov 2016
Short Communication
Journal of Research in Biology
An International Scientific Research Journal
ISSN No: Print: 2231 –6280; Online: 2231- 6299
INTRODUCTION
Transferring the load of structures is done di-
rectly or indirectly by foundation to the soil. Especially
during an earthquake, behaviours of structures are
effected by the soil conditions under the foundation and
soil properties that poses important role in the transfer-
ring of seismic waves from the bedrock to structures.
The accuracy of transmission mechanisms of waves,
determination and applying lateral force caused by the
earthquake is a main issue in safe and optimized design-
ing structure. The diffused fluctuations caused by the
earthquake of bedrock can be intensified or weakened
due to the characteristics of soil and the structure. The
project was aimed to investigate and compare the effects
of soil on spectrum earthquake for three different loca-
tions all around the world. For increasing the accuracy
of results, similar effective parameters have been select-
ed in the choosing of accelerograms. The reflectance
spectrum of an accelerogram indicated the factors such
as ground motion acceleration, frequency content and
duration ground motion at Location.
The spectrum of location against earthquakes
are well-known in the designing of structures. Based on
the conducted research, there are two methods for con-
sidering the intense vibration caused by the earthquake
and its impact on the structure during an earthquake
(earthquake design) Imanpour and Mehobbi, 2008
1. The reflection spectrum of project is obtained from
the spectrums of different reflection records.
2. The obtained spectrum was converted into an elastic
design by averaging of four accelerograms.
Heidari and Bagheriyan, 2016
2132 Journal of Research in Biology (2016) 6(8): 2131–2141
Figure 1. Triple graph of spectrum Havzner design
(Moghadam, 1992)
Figure 2. Coordinated response spectrum (no dimen-
sions) of EL Centro earthquake (Moghadam, 1992)
Figure 3. Acceleration spectrum average (50%) no
dimensions for different types of ground
(Moghadam, 1992)
Figure 4. Acceleration spectrum above-average
(84.1%) No sayed dimensions for different types of
ground (Moghadam, 1992)
MATERIALS AND METHODS
Some researchers had evaluated various factors
on the shape of the reflection spectra. Most of the cases
are as follows Imanpour and Mehobbi, 2008:
1. Specifications of soil location
2. Magnitude of earthquake and ground motion parame-
ters including acceleration, velocity and displacement
Heidari and Bagheriyan, 2016
Journal of Research in Biology (2016) 6(8): 2131–2141 2133
Figure 5. Spectrum of Moahrez design for deprecia-
tion 5% and ground acceleration 1g/
(Moghadam, 1992)
Figure 6. Normalized response spectrum, damping
5% (Bazyar and Ghanad, 2003)
Soil type A
Soil type B
Soil type C
Soil type D
Soil type E
Figure 9. Recorded accelerograms of Duzce earthquake (Duzce, Turkey 1999/11/12)
maximum Earth
3. The distance to the epicenter of the earthquake site
and the type of soil classification in the passage of seis-
mic waves to site
4. The characteristics and mechanisms of origin earth
quakes and duration of ground motion in time of earth-
quake
Therefore, a real spectrum includes the above
factors. There are some methods to calculate the
resistance of structure against earthquakes. The most
common methods are equivalent static analysis, modal
and dynamic Moghadam (1992). One of these methods
are using the spectrum seismic reflection in structure
Amiri, 2003. The seismic force can be determined in
quasi-static method by follow simple equation
Moghadam (1992):
Earthquake Force = Structural weight * Acceleration of
spectrum
In this way, Structural force can be calculated
by using the spectrum acceleration of the earthquake.
Heidari and Bagheriyan, 2016
2134 Journal of Research in Biology (2016) 6(8): 2131–2141
Figure 7. Building reflection coefficient for a variety
of lands for earthquake with low and moderate risk
[BRC, 2005]
Figure 8. Building reflection coefficient for a variety
of lands for earthquake with high and very high risk
[BRC, 2005]
SoiltypeBSoiltypeASoiltypeC
SoiltypeDSoiltypeE
Figure 10. The spectrum of Duzce earthquake (Duzce, Turkey 1999/11/12)
Soil type is one the most important factors which have a
significant impact on the amount of spectrum. There are
different methods for soil classification as follows: re-
gional geological method, speed method, using SPT,
microtremor method (microtremore) and the shape of
response spectrum method Amiri, 2003. Havzner was
the first researcher who presented the design of spec-
trum earthquake in the late of 1950’s. The Havzner de-
signing spectrum for acceleration, velocity and displace-
ment are shown in Figure 1. This spectrums are appro-
priate for analysis and designing in field of reactionary,
while more structure are related to inelastic field. The
spectrums are co-ordinated on base of ground accelera-
tion 0.2 g and they should be divided on 0.2g for certain
ground acceleration A. In the late 60s, Newmark and
Hall studied the triple spectrum of many accelerogram.
They noted there are several specified areas in triple
spectrum diagram which the results are presented for El
Centro earthquake in Figure 2 (Moghadam, 1992).
1. Acceleration response is equal to acceleration ground
in high frequency.
2. Acceleration response is almost constant in range of
two to eight Hz.
3. Velocity is almost constant In range of 0.2 to 2 Hz.
4. Relocation is almost constant in the range less than
0.2 Hz.
5. Relocation of structure is equal to relocation of
ground in very low frequency.
The effect of type ground wasn’t considered in
initial spectrum of Newmark and Hall. Other research-
ers noted that there were difference between the content
of the recorded frequency of accelerograms on bedrock
Heidari and Bagheriyan, 2016
Journal of Research in Biology (2016) 6(8): 2131-2141 2135
Soil type A
Soil type B
Soil type C
Soil type D
Soil type E
Figure 11. Recorded accelerograms of Kocaeli earthquake (Turkey 1999/08/17)
and recorded frequency on illuviation. The results of
the research indicated in Figures 3 and 4 (Moghadam,
1992). The effect of the soften ground type appeared as
decreasing the amplification factor of acceleration in
high frequencies and also increasing of the factor in low
frequencies. (Moghadam, 1992)
The curves of Figure 6 were obtained by the
results of seismic designing structures Bazyar and Gha-
nad (2003). Regulations of buildings design against
earthquakes (Iran 2800) presented the spectrum design
for soil types and intensity of relative risk by using the
newest results (version 3, 1382) in accordance with
Heidari and Bagheriyan, 2016
2136 Journal of Research in Biology (2016) 6(8): 2131–2141
SoiltypeASoiltypeBSoiltypeC
SoiltypeDSoiltypeE
Figure 12. The spectrum of Kocaeli earthquake (Turkey 1999/08/17)
Table 1. Classification of land
Type
of land
Description of ingredients
Approximately
Vs (meters per
second)
S. No
I
(A) Igneous rocks (coarse and fine texture), hard and very resistant rocks
and metamorphic mass (gneiss-crystalline silicate rocks) conglomerate
classes
(B) Hard soils (sand dense, very hard clay) with a thickness of less than 30
m
More than 750
More than 750
1
II
(A) Loose igneous rocks (eg tuff), sedimentary rocks, foliated metamor-
phic rocks, loose rocks generally caused by weathering (degraded).
(B) Hard soils (sand dense, very hard) with a thickness greater than 30 m
375≤Vs≤057
375≤Vs≤057
2
III
(A) Shattered rocks by the weathering.
(B) In soils with medium density, layers of sand and clay with medium
bond between don and clay with moderate hardness.
375≤Vs≤105
375≤Vs≤105
3
IV
(A) Soft sediments with high humidity due to the high ground water level
(B) Any kind of soil profile consisting of at least 6 meters of clay with
plasticity index greater than 20 and more than 40 percent moisture.
Less than 1754
Figures 7 and 8. According to the regulations, classifica-
tion of ground is presented in Table 1 [BRC, 2005].
Soil classification
Four soil classifications were used to evaluate
the effect of soil on response spectrum
A: Rock
B: Shallow (stiff soil)
C: Deep narrow soil
D: Dep broad soil
E: Soft deep soil
Choosing the earthquake
The first selected earthquake was Duzce earth-
quake (1999). The record of this earthquake has been
registered on different soils and corresponding spectrum
Heidari and Bagheriyan, 2016
Journal of Research in Biology (2016) 6(8): 2131-2141 2137
Table 2. Recorded Information of Duzce earthquake (Duzce, Turkey 1999/11/12)
Soil
type
Station
Data
source
MagnitudeDistance (km)
Site
conditions
S.
No
A
Station:1060
Lamont
1060
LAMONT
M (7.1)
Ml (7.2)
Ms (7.3)
Closest to fault rupture (30.2)
Hypocentral()
Closest to surface projection of rupture
(30.2)
Geomatrix
or CWB
(A)
1
B
Station: 362
Lamont 362
LAMONT
M (7.1)
Ml (7.2)
Ms (7.3)
Closest to fault rupture (27.4)
Hypocentral()
Closest to surface projection of rupture
(27.4)
Geomatrix
or CWB
(B)
2
C
Station:
Fatih
KOERI
M (7.1)
Ml (7.2)
Ms (7.3)
Closest to fault rupture (172.5)
Hypocentral()
Closest to surface projection of rupture
(172.5)
Geomatrix
or CWB
(C)
3
D
Station:
Duzce
ERD
M (7.1)
Ml (7.2)
Ms (7.3)
Closest to fault rupture (8.2)
Hypocentral()
Closest to surface projection of rupture
(8.2)
Geomatrix
or CWB
(D)
4
E
Station:
Ambarli
KOERI
M (7.1)
Ml (7.2)
Ms (7.3)
Closest to fault rupture (193.3)
Hypocentral()
Closest to surface projection of rupture
(193.3)
Geomatrix
or CWB
(E)
5
The second selected earthquake was Kocaeli earthquake (1999).The record of this earthquake has been registered on
different soils and corresponding spectrum of each accelerogram has been drawn. All of accelerograms data are
presented for different soils in Table 3 and Figure 11. Kocaeli earthquake spectrum is shown in Figure 12.
Soil
type
Station
Data
source
MagnitudeDistance (km)
Site
conditions
S.
No
A
Station:
Gebze
ERD
M (7.4) Ml
()
Ms (7.8)
Closest to fault rupture (17.0) Hypocentral()
Closest to surface projection of rupture (17.0)
Geomatrix or
CWB (A)
1
B
Station:
Cekmec
e
KOERI
M (7.4) Ml
()
Ms (7.8)
Closest to fault rupture (76.1) Hypocentral()
Closest to surface projection of rupture (76.1)
Geomatrix or
CWB (B)
2
C
Station:
Fatih
KOERI
M (7.4) Ml
()
Ms (7.8)
Closest to fault rupture (64.5) Hypocentral()
Closest to surface projection of rupture (64.5)
Geomatrix or
CWB (C)
3
D
Station:
Atakoy
ITU
M (7.4) Ml
()
Ms (7.8)
Closest to fault rupture (67.5) Hypocentral()
Closest to surface projection of rupture (67.5)
Geomatrix or
CWB (D)
4
E
Station:
Ambarli
KOERI
M (7.4) Ml
()
Ms (7.8)
Closest to fault rupture (78.9) Hypocentral()
Closest to surface projection of rupture (78.9)
Geomatrix or
CWB (E)
5
Table 3. Recorded information of Kocaeli earthquake, (Turkey 1999/08/17)
Heidari and Bagheriyan, 2016
2138 Journal of Research in Biology (2016) 6(8): 2131–2141
of each accelerogram has been drawn. All of accelero-
grams data are presented for different soils in Table 2
and Figure 9. Duzce earthquake spectrum is shown in
Figure 10.
The second selected earthquake was Kocaeli
earthquake (1999). The record of this earthquake has
been registered on different soils and corresponding
spectrum of each accelerogram has been drawn. All of
accelerograms data are presented for different soils in
Table 3 and Figure 11. Kocaeli earthquake spectrum is
shown in Figure 12.
The third selected earthquake was Morgan Hill
earthquake (1984). The record of this earthquake has
been registered on different soils and corresponding
spectrum of each accelerogram has been drawn. All of
accelerograms data are presented for different soils in
Table 4 and Figure 13. Morgan Hill earthquake spec-
trum is shown in Figure 14.
RESULTS AND DISCUSSION
Spectrum is a response of a structure with 1
degree freedom against different earthquakes. This
means that created acceleration is specified in mass by
applying recorded acceleration in past different earth-
quake to a system by one degree of freedom with differ-
ent natural periods, on depending on soil structure.
Modified cover of the acceleration is drawn in terms of
natural periods for each type of soil structure. Sys-
mosygnal software was used for spectral analysis in this
project. (Seismosoft, 2015). It is a useful application for
processing the accelerograph data. Several spectrums
are drawn as follows; acceleration spectrum, velocity,
Soil type A
Soil type B
Soil type C
Soil type D
Soil type E
Figure 13. Recorded accelerograms of Morgan Hill earthquake (Morgan Hill 1984/04/24 21:15)
Heidari and Bagheriyan, 2016
Journal of Research in Biology (2016) 6(8): 2131–2141 2139
SoiltypeCSoiltypeB
SoiltypeESoiltypeD
SoiltypeA
Figure 14. The spectrum of Morgan Hill earthquake (Morgan Hill 1984/04/24 21:15)
Figure 15. Spectrum earthquake of Studied accelerograms on different soils
Duzce earthquake Kocaeli earthquake
MorganHillearthquake
Heidari and Bagheriyan, 2016
2140 Journal of Research in Biology (2016) 6(8): 2131–2141
displacement, fourie and other diagrams.
For each earthquake, the soil type impact on
spectrum diagram is indicated by evaluating the results
of the analysis on data derived from three mentioned
earthquakes in the Figures of section five and also
drawing the graphs of spectrum earthquake accelero-
grams for different soils on a chart (Figure 15). As can
be seen, the domain of spectrum was higher because of
increasing the hardness of soil in harez um similar de-
sighn factor in low periods and the domain of spectrum
was higher due to increasing the softness of soil in high-
er periods. And also in initial periods, the diagram is
more gatherer and possess a greater amount in harder
soil and the diagram is more extent and possess a lower
amount in the softer soil.
CONCLUSION
It wouldn’t generally be conducted that the
harder soil is better or the softer soil is weaker, but a
balance between soil and structure should be created
according to the type of structure and frequency content.
For example in short structure with softer soil, less force
is applied to structures during earthquake and in high-
rise structures with harder soil under the foundation,
less force is applied to the structures. The force of earth-
quake reaches completely from bedder to ground in
harder soil and there is a less possibility of creation
plasticity in the soil but it contrary happens in soft soil.
The force of earthquake quickly transfer the soil to plas-
ticity stage and doesn’t transfer the force completely.
 As can be seen in graphs; the domain of spectrum
was higher due to the increasing hardness of soil in
low periods and the domain of spectrum was higher
due to increasing the softness of soil in higher peri-
ods.
 In general, and also in initial periods, the diagram is
more gatherer and possess a greater amount in
harder soil and the diagram is more extent and pos-
sess a lower amount in softer soil.
REFERENCES
Imanpour A and Mohebbi S. (2008). The effect of
different factors on the response land and compare the
results with spectrum design of buildings in seismic
reflections in Regulations (2800). The 3rd
Congress of
Civil Engineering, Tabriz, 1 and 2:1386 p.
Moghadam H. (1992). Earthquake engineering re-
search center for transportation studies.
Ghodrati Amiri. (2003). Classification of land stations
of recording the seismic on the spectrum. 6th
Interna-
Soil
type
Station
Data
source
MagnitudeDistance (km)
Site
conditions
S.
No
A
Station: 47379
Gilroy Array
#1
CDMG
M (6.2)
Ml (6.2)
Ms (6.1)
Closest to fault rupture (16.2) Hypocentral()
Closest to surface projection of rupture ()
Geomatrix
or CWB
(A)
1
B
Station: 57383
Gilroy Array
#6
CDMG
M (6.2)
Ml (6.2)
Ms (6.1)
Closest to fault rupture (11.8) Hypocentral()
Closest to surface projection of rupture ()
Geomatrix
or CWB
(B)
2
C
Station: 57191
Halls Valley
CDMG
M (6.2)
Ml (6.2)
Ms (6.1)
Closest to fault rupture (3.4) Hypocentral()
Closest to surface projection of rupture ()
Geomatrix
or CWB
(C)
3
D
Station: 47380
Gilroy Array
#2
CDMG
M (6.2)
Ml (6.2)
Ms (6.1)
Closest to fault rupture (15.1) Hypocentral()
Closest to surface projection of rupture ()
Geomatrix
or CWB
(D)
4
E
Station: 58375
APEEL 1 -
Redwood City
CDMG
M (6.2)
Ml (6.2)
Ms (6.1)
Closest to fault rupture (54.1) Hypocentral()
.Closest to surface projection of rupture ()
Geomatrix
or CWB
(E)
5
Table 4. Recorded information of Morgan Hill earthquake (Morgan Hill 1984/04/24 21:15)
Heidari and Bagheriyan, 2016
Journal of Research in Biology (2016) 6(8): 2131–2141 2141
tional Conference of Civil Engineering, Isfahan, 2 p.
Bazyar H and Ghanad Z. (2003), Soil dynamics, Uni-
versity of science and technology center.
Newmark NM, Blume JA and Kapur KK. (1973).
Seismic design criteria for nuclear power plants. J. Pow-
er Div. 99: 287–303.
Regulations for designing against the earthquake.
3rd
ed. Building Research Center [BRC]. Housing, peri-
odicals S- 253, 2005.
Seismosoft [YEAR OF RELEASE]. SeismoSignal - A
computer program for signal processing of time-
histories. [Cited 2015]. Available from URL:
www.seismosoft.com
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Earthquake and impact of soil type on content of the result spectrum

  • 1. Article Citation: Shahryar Heidari and Siyamak Bagheriyan Earthquake and impact of soil type on content of the result spectrum Journal of Research in Ecology (2016) 6(8): 2131-2141 JournalofResearchinBiology Earthquake and impact of soil type on content of the result spectrum Keywords: Response spectrum, earthquake, soil type, accelerogram, seismosignal. ABSTRACT: There are various factors which effect on spectrum of earthquake such as: soil type, magnitude of earthquake, distance to earthquake center, type of fault, duration and damping of earthquake. The research was aimed to investigate the effects of soil on the spectrum of earthquake. Therefore, several accelerograms for three different locations around the world have been selected from Berkeley University website. Then the selected accelerograms were scaled up with number 1 for scaling the spectrums. The spectrums of accelerograms and the records of earthquake were drawn by seismosignal software. Finally, the effect of different soil were investigated on the spectrum of response earthquake. For increasing the accuracy of results, similar effective parameter have been selected in choosing of accelerograms. Results of the research were as follows; the domain of spectrum was higher due to increasing the hardness of soil in harez um similar design factor in low periods and the domain of spectrum was higher due to increasing the softness of soil in higher periods. The diagrams are more gatherer and possess a greater amount in harder soil and are is more extent and possess a lower amount in the softer soil. 2131-2141 | JRB | 2016 | Vol 6 | No 8 This article is governed by the Creative Commons Attribution License (http://creativecommons.org/ licenses/by/4.0), which gives permission for unrestricted use, non-commercial, distribution and reproduction in all medium, provided the original work is properly cited. www.jresearchbiology.com Journal of Research in Biology An International Scientific Research Journal Authors: Shahryar Heidari and Siyamak Bagheriyan Institution: Department of Civil Engineering, Shahryar Branch, Islamic Azad University, Tehran, Iran. Corresponding author: Shahryar Heidari Email Id: Web Address: http://jresearchbiology.com/ documents/RA0614.pdf Dates: Received: 28 Sep 2016 Accepted: 16 Oct 2016 Published: 18 Nov 2016 Short Communication Journal of Research in Biology An International Scientific Research Journal ISSN No: Print: 2231 –6280; Online: 2231- 6299
  • 2. INTRODUCTION Transferring the load of structures is done di- rectly or indirectly by foundation to the soil. Especially during an earthquake, behaviours of structures are effected by the soil conditions under the foundation and soil properties that poses important role in the transfer- ring of seismic waves from the bedrock to structures. The accuracy of transmission mechanisms of waves, determination and applying lateral force caused by the earthquake is a main issue in safe and optimized design- ing structure. The diffused fluctuations caused by the earthquake of bedrock can be intensified or weakened due to the characteristics of soil and the structure. The project was aimed to investigate and compare the effects of soil on spectrum earthquake for three different loca- tions all around the world. For increasing the accuracy of results, similar effective parameters have been select- ed in the choosing of accelerograms. The reflectance spectrum of an accelerogram indicated the factors such as ground motion acceleration, frequency content and duration ground motion at Location. The spectrum of location against earthquakes are well-known in the designing of structures. Based on the conducted research, there are two methods for con- sidering the intense vibration caused by the earthquake and its impact on the structure during an earthquake (earthquake design) Imanpour and Mehobbi, 2008 1. The reflection spectrum of project is obtained from the spectrums of different reflection records. 2. The obtained spectrum was converted into an elastic design by averaging of four accelerograms. Heidari and Bagheriyan, 2016 2132 Journal of Research in Biology (2016) 6(8): 2131–2141 Figure 1. Triple graph of spectrum Havzner design (Moghadam, 1992) Figure 2. Coordinated response spectrum (no dimen- sions) of EL Centro earthquake (Moghadam, 1992) Figure 3. Acceleration spectrum average (50%) no dimensions for different types of ground (Moghadam, 1992) Figure 4. Acceleration spectrum above-average (84.1%) No sayed dimensions for different types of ground (Moghadam, 1992)
  • 3. MATERIALS AND METHODS Some researchers had evaluated various factors on the shape of the reflection spectra. Most of the cases are as follows Imanpour and Mehobbi, 2008: 1. Specifications of soil location 2. Magnitude of earthquake and ground motion parame- ters including acceleration, velocity and displacement Heidari and Bagheriyan, 2016 Journal of Research in Biology (2016) 6(8): 2131–2141 2133 Figure 5. Spectrum of Moahrez design for deprecia- tion 5% and ground acceleration 1g/ (Moghadam, 1992) Figure 6. Normalized response spectrum, damping 5% (Bazyar and Ghanad, 2003) Soil type A Soil type B Soil type C Soil type D Soil type E Figure 9. Recorded accelerograms of Duzce earthquake (Duzce, Turkey 1999/11/12)
  • 4. maximum Earth 3. The distance to the epicenter of the earthquake site and the type of soil classification in the passage of seis- mic waves to site 4. The characteristics and mechanisms of origin earth quakes and duration of ground motion in time of earth- quake Therefore, a real spectrum includes the above factors. There are some methods to calculate the resistance of structure against earthquakes. The most common methods are equivalent static analysis, modal and dynamic Moghadam (1992). One of these methods are using the spectrum seismic reflection in structure Amiri, 2003. The seismic force can be determined in quasi-static method by follow simple equation Moghadam (1992): Earthquake Force = Structural weight * Acceleration of spectrum In this way, Structural force can be calculated by using the spectrum acceleration of the earthquake. Heidari and Bagheriyan, 2016 2134 Journal of Research in Biology (2016) 6(8): 2131–2141 Figure 7. Building reflection coefficient for a variety of lands for earthquake with low and moderate risk [BRC, 2005] Figure 8. Building reflection coefficient for a variety of lands for earthquake with high and very high risk [BRC, 2005] SoiltypeBSoiltypeASoiltypeC SoiltypeDSoiltypeE Figure 10. The spectrum of Duzce earthquake (Duzce, Turkey 1999/11/12)
  • 5. Soil type is one the most important factors which have a significant impact on the amount of spectrum. There are different methods for soil classification as follows: re- gional geological method, speed method, using SPT, microtremor method (microtremore) and the shape of response spectrum method Amiri, 2003. Havzner was the first researcher who presented the design of spec- trum earthquake in the late of 1950’s. The Havzner de- signing spectrum for acceleration, velocity and displace- ment are shown in Figure 1. This spectrums are appro- priate for analysis and designing in field of reactionary, while more structure are related to inelastic field. The spectrums are co-ordinated on base of ground accelera- tion 0.2 g and they should be divided on 0.2g for certain ground acceleration A. In the late 60s, Newmark and Hall studied the triple spectrum of many accelerogram. They noted there are several specified areas in triple spectrum diagram which the results are presented for El Centro earthquake in Figure 2 (Moghadam, 1992). 1. Acceleration response is equal to acceleration ground in high frequency. 2. Acceleration response is almost constant in range of two to eight Hz. 3. Velocity is almost constant In range of 0.2 to 2 Hz. 4. Relocation is almost constant in the range less than 0.2 Hz. 5. Relocation of structure is equal to relocation of ground in very low frequency. The effect of type ground wasn’t considered in initial spectrum of Newmark and Hall. Other research- ers noted that there were difference between the content of the recorded frequency of accelerograms on bedrock Heidari and Bagheriyan, 2016 Journal of Research in Biology (2016) 6(8): 2131-2141 2135 Soil type A Soil type B Soil type C Soil type D Soil type E Figure 11. Recorded accelerograms of Kocaeli earthquake (Turkey 1999/08/17)
  • 6. and recorded frequency on illuviation. The results of the research indicated in Figures 3 and 4 (Moghadam, 1992). The effect of the soften ground type appeared as decreasing the amplification factor of acceleration in high frequencies and also increasing of the factor in low frequencies. (Moghadam, 1992) The curves of Figure 6 were obtained by the results of seismic designing structures Bazyar and Gha- nad (2003). Regulations of buildings design against earthquakes (Iran 2800) presented the spectrum design for soil types and intensity of relative risk by using the newest results (version 3, 1382) in accordance with Heidari and Bagheriyan, 2016 2136 Journal of Research in Biology (2016) 6(8): 2131–2141 SoiltypeASoiltypeBSoiltypeC SoiltypeDSoiltypeE Figure 12. The spectrum of Kocaeli earthquake (Turkey 1999/08/17) Table 1. Classification of land Type of land Description of ingredients Approximately Vs (meters per second) S. No I (A) Igneous rocks (coarse and fine texture), hard and very resistant rocks and metamorphic mass (gneiss-crystalline silicate rocks) conglomerate classes (B) Hard soils (sand dense, very hard clay) with a thickness of less than 30 m More than 750 More than 750 1 II (A) Loose igneous rocks (eg tuff), sedimentary rocks, foliated metamor- phic rocks, loose rocks generally caused by weathering (degraded). (B) Hard soils (sand dense, very hard) with a thickness greater than 30 m 375≤Vs≤057 375≤Vs≤057 2 III (A) Shattered rocks by the weathering. (B) In soils with medium density, layers of sand and clay with medium bond between don and clay with moderate hardness. 375≤Vs≤105 375≤Vs≤105 3 IV (A) Soft sediments with high humidity due to the high ground water level (B) Any kind of soil profile consisting of at least 6 meters of clay with plasticity index greater than 20 and more than 40 percent moisture. Less than 1754
  • 7. Figures 7 and 8. According to the regulations, classifica- tion of ground is presented in Table 1 [BRC, 2005]. Soil classification Four soil classifications were used to evaluate the effect of soil on response spectrum A: Rock B: Shallow (stiff soil) C: Deep narrow soil D: Dep broad soil E: Soft deep soil Choosing the earthquake The first selected earthquake was Duzce earth- quake (1999). The record of this earthquake has been registered on different soils and corresponding spectrum Heidari and Bagheriyan, 2016 Journal of Research in Biology (2016) 6(8): 2131-2141 2137 Table 2. Recorded Information of Duzce earthquake (Duzce, Turkey 1999/11/12) Soil type Station Data source MagnitudeDistance (km) Site conditions S. No A Station:1060 Lamont 1060 LAMONT M (7.1) Ml (7.2) Ms (7.3) Closest to fault rupture (30.2) Hypocentral() Closest to surface projection of rupture (30.2) Geomatrix or CWB (A) 1 B Station: 362 Lamont 362 LAMONT M (7.1) Ml (7.2) Ms (7.3) Closest to fault rupture (27.4) Hypocentral() Closest to surface projection of rupture (27.4) Geomatrix or CWB (B) 2 C Station: Fatih KOERI M (7.1) Ml (7.2) Ms (7.3) Closest to fault rupture (172.5) Hypocentral() Closest to surface projection of rupture (172.5) Geomatrix or CWB (C) 3 D Station: Duzce ERD M (7.1) Ml (7.2) Ms (7.3) Closest to fault rupture (8.2) Hypocentral() Closest to surface projection of rupture (8.2) Geomatrix or CWB (D) 4 E Station: Ambarli KOERI M (7.1) Ml (7.2) Ms (7.3) Closest to fault rupture (193.3) Hypocentral() Closest to surface projection of rupture (193.3) Geomatrix or CWB (E) 5 The second selected earthquake was Kocaeli earthquake (1999).The record of this earthquake has been registered on different soils and corresponding spectrum of each accelerogram has been drawn. All of accelerograms data are presented for different soils in Table 3 and Figure 11. Kocaeli earthquake spectrum is shown in Figure 12. Soil type Station Data source MagnitudeDistance (km) Site conditions S. No A Station: Gebze ERD M (7.4) Ml () Ms (7.8) Closest to fault rupture (17.0) Hypocentral() Closest to surface projection of rupture (17.0) Geomatrix or CWB (A) 1 B Station: Cekmec e KOERI M (7.4) Ml () Ms (7.8) Closest to fault rupture (76.1) Hypocentral() Closest to surface projection of rupture (76.1) Geomatrix or CWB (B) 2 C Station: Fatih KOERI M (7.4) Ml () Ms (7.8) Closest to fault rupture (64.5) Hypocentral() Closest to surface projection of rupture (64.5) Geomatrix or CWB (C) 3 D Station: Atakoy ITU M (7.4) Ml () Ms (7.8) Closest to fault rupture (67.5) Hypocentral() Closest to surface projection of rupture (67.5) Geomatrix or CWB (D) 4 E Station: Ambarli KOERI M (7.4) Ml () Ms (7.8) Closest to fault rupture (78.9) Hypocentral() Closest to surface projection of rupture (78.9) Geomatrix or CWB (E) 5 Table 3. Recorded information of Kocaeli earthquake, (Turkey 1999/08/17)
  • 8. Heidari and Bagheriyan, 2016 2138 Journal of Research in Biology (2016) 6(8): 2131–2141 of each accelerogram has been drawn. All of accelero- grams data are presented for different soils in Table 2 and Figure 9. Duzce earthquake spectrum is shown in Figure 10. The second selected earthquake was Kocaeli earthquake (1999). The record of this earthquake has been registered on different soils and corresponding spectrum of each accelerogram has been drawn. All of accelerograms data are presented for different soils in Table 3 and Figure 11. Kocaeli earthquake spectrum is shown in Figure 12. The third selected earthquake was Morgan Hill earthquake (1984). The record of this earthquake has been registered on different soils and corresponding spectrum of each accelerogram has been drawn. All of accelerograms data are presented for different soils in Table 4 and Figure 13. Morgan Hill earthquake spec- trum is shown in Figure 14. RESULTS AND DISCUSSION Spectrum is a response of a structure with 1 degree freedom against different earthquakes. This means that created acceleration is specified in mass by applying recorded acceleration in past different earth- quake to a system by one degree of freedom with differ- ent natural periods, on depending on soil structure. Modified cover of the acceleration is drawn in terms of natural periods for each type of soil structure. Sys- mosygnal software was used for spectral analysis in this project. (Seismosoft, 2015). It is a useful application for processing the accelerograph data. Several spectrums are drawn as follows; acceleration spectrum, velocity, Soil type A Soil type B Soil type C Soil type D Soil type E Figure 13. Recorded accelerograms of Morgan Hill earthquake (Morgan Hill 1984/04/24 21:15)
  • 9. Heidari and Bagheriyan, 2016 Journal of Research in Biology (2016) 6(8): 2131–2141 2139 SoiltypeCSoiltypeB SoiltypeESoiltypeD SoiltypeA Figure 14. The spectrum of Morgan Hill earthquake (Morgan Hill 1984/04/24 21:15) Figure 15. Spectrum earthquake of Studied accelerograms on different soils Duzce earthquake Kocaeli earthquake MorganHillearthquake
  • 10. Heidari and Bagheriyan, 2016 2140 Journal of Research in Biology (2016) 6(8): 2131–2141 displacement, fourie and other diagrams. For each earthquake, the soil type impact on spectrum diagram is indicated by evaluating the results of the analysis on data derived from three mentioned earthquakes in the Figures of section five and also drawing the graphs of spectrum earthquake accelero- grams for different soils on a chart (Figure 15). As can be seen, the domain of spectrum was higher because of increasing the hardness of soil in harez um similar de- sighn factor in low periods and the domain of spectrum was higher due to increasing the softness of soil in high- er periods. And also in initial periods, the diagram is more gatherer and possess a greater amount in harder soil and the diagram is more extent and possess a lower amount in the softer soil. CONCLUSION It wouldn’t generally be conducted that the harder soil is better or the softer soil is weaker, but a balance between soil and structure should be created according to the type of structure and frequency content. For example in short structure with softer soil, less force is applied to structures during earthquake and in high- rise structures with harder soil under the foundation, less force is applied to the structures. The force of earth- quake reaches completely from bedder to ground in harder soil and there is a less possibility of creation plasticity in the soil but it contrary happens in soft soil. The force of earthquake quickly transfer the soil to plas- ticity stage and doesn’t transfer the force completely.  As can be seen in graphs; the domain of spectrum was higher due to the increasing hardness of soil in low periods and the domain of spectrum was higher due to increasing the softness of soil in higher peri- ods.  In general, and also in initial periods, the diagram is more gatherer and possess a greater amount in harder soil and the diagram is more extent and pos- sess a lower amount in softer soil. REFERENCES Imanpour A and Mohebbi S. (2008). The effect of different factors on the response land and compare the results with spectrum design of buildings in seismic reflections in Regulations (2800). The 3rd Congress of Civil Engineering, Tabriz, 1 and 2:1386 p. Moghadam H. (1992). Earthquake engineering re- search center for transportation studies. Ghodrati Amiri. (2003). Classification of land stations of recording the seismic on the spectrum. 6th Interna- Soil type Station Data source MagnitudeDistance (km) Site conditions S. No A Station: 47379 Gilroy Array #1 CDMG M (6.2) Ml (6.2) Ms (6.1) Closest to fault rupture (16.2) Hypocentral() Closest to surface projection of rupture () Geomatrix or CWB (A) 1 B Station: 57383 Gilroy Array #6 CDMG M (6.2) Ml (6.2) Ms (6.1) Closest to fault rupture (11.8) Hypocentral() Closest to surface projection of rupture () Geomatrix or CWB (B) 2 C Station: 57191 Halls Valley CDMG M (6.2) Ml (6.2) Ms (6.1) Closest to fault rupture (3.4) Hypocentral() Closest to surface projection of rupture () Geomatrix or CWB (C) 3 D Station: 47380 Gilroy Array #2 CDMG M (6.2) Ml (6.2) Ms (6.1) Closest to fault rupture (15.1) Hypocentral() Closest to surface projection of rupture () Geomatrix or CWB (D) 4 E Station: 58375 APEEL 1 - Redwood City CDMG M (6.2) Ml (6.2) Ms (6.1) Closest to fault rupture (54.1) Hypocentral() .Closest to surface projection of rupture () Geomatrix or CWB (E) 5 Table 4. Recorded information of Morgan Hill earthquake (Morgan Hill 1984/04/24 21:15)
  • 11. Heidari and Bagheriyan, 2016 Journal of Research in Biology (2016) 6(8): 2131–2141 2141 tional Conference of Civil Engineering, Isfahan, 2 p. Bazyar H and Ghanad Z. (2003), Soil dynamics, Uni- versity of science and technology center. Newmark NM, Blume JA and Kapur KK. (1973). Seismic design criteria for nuclear power plants. J. Pow- er Div. 99: 287–303. Regulations for designing against the earthquake. 3rd ed. Building Research Center [BRC]. Housing, peri- odicals S- 253, 2005. Seismosoft [YEAR OF RELEASE]. SeismoSignal - A computer program for signal processing of time- histories. [Cited 2015]. Available from URL: www.seismosoft.com Submit your articles online at www.jresearchbiology.com Advantages  Easy online submission  Complete Peer review  Affordable Charges  Quick processing  Extensive indexing  You retain your copyright submit@jresearchbiology.com www.jresearchbiology.com/Submit.php