Published at : 20 Jan 2022
Volume : IJtech
Vol 13, No 1 (2022)
DOI : https://doi.org/10.14716/ijtech.v13i1.4132
Windu Partono | Civil Engineering Department, Engineering Faculty, Diponegoro University, Semarang 50275, Indonesia |
Masyhur Irsyam | Civil Engineering Department, Faculty of Civil and Environmental Engineering, Bandung Institute of Technology, Bandung 40132, Indonesia |
Ramli Nazir | Centre for Tropical Geoengineering, School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81300 Skudai, Johor, Malaysia |
Muhammad Asrurifak | Faculty of Civil Engineering and Planning, Institut Sains dan Teknologi Nasional, Jakarta 12630, Indonesia |
Undayani Cita Sari | Civil Engineering Department, Engineering Faculty, Diponegoro University, Semarang 50275, Indonesia |
Calculation
of site coefficient and design response spectral acceleration are two important
steps in the seismic design of buildings. According to Indonesian Seismic Code
2019, two information requirements for site coefficient calculations are the
site soil class and Risk-targeted Maximum Considered Earthquake (MCER-SS
for short and MCER-S1 for long period) spectral
acceleration. Three different hard/SC, medium/SD and soft/SE are typically site
soil classes used for building designs. Two different site coefficients (Fa for
MCER-SS and Fv for MCER-S1 spectral
acceleration) are used for surface and design response spectral acceleration
calculations. The Indonesian Seismic Code provides two (Fa and Fv) tables for
calculating site coefficients. If the MCER-SS or MCER-S1
values developed for a specific site are not exactly equal to the values in Fa
or Fv tables, the site coefficients can then be predicted using straight-line
interpolation between the two closest Fa or Fv values within the tables. When
the straight-line interpolation is adjusted for Fa or Fv calculation, different
results were observed in comparison to the values developed using website-based
software (prepared by Ministry of Public Works and Human Settlements). This
study evaluates site coefficients and design response spectral acceleration
predictions in Semarang City, Indonesia, according to straight-line
interpolation method and website software
calculations. The study was conducted at 203 soil boring positions in
the study area. The site soil classes were predicted using average standard penetration
test values (N-SPT) of the topmost 30 m soil deposit layer (N30). Three
different site soil classes were observed in the study area. On average, the
largest differences between the two analysis (linear interpolation and website)
methods in the site coefficient values and design response spectral
acceleration calculation were observed for the SD and SE classes. However, for
the SC site soil class, the difference was small, with their values
approximately similar.
Design response spectral acceleration; MCER; N-SPT; Site coefficient; Straight-line interpolation
The new National Seismic Code of Indonesia (SNI 1726:2019, 2019) was announced in 2019. Some of the information introduced
in this new seismic code was partially adopted from the American Standard Code
for Seismic Design ASCE/SEI 7-16, specifically the site coefficient values and
design response spectral acceleration calculation methods. Additional
information for developing the site coefficients was adopted from Stewart and Seyhan (2013). Due to the improved methods described in ASCE/SEI 7-16 for developing
site coefficients for site soil classes SD and SE, not all the information
described in the American Code was adopted by SNI 1726:2019. Specifically, the
site coefficients for the SD and SE classes presented in SNI 1726:2019 were
completely adopted from Stewart and
Seyhan (2013).
Following
the SNI 1726:2019, the Ministry of Public Works and Human Settlements announced
a new website software (online facility) for site coefficient and design
response spectral acceleration calculation. Site or building position
coordinates (in terms of longitude and latitude) and site soil class are two information
requirements for design response spectral acceleration calculations.
Risk-targeted Maximum Considered Earthquake (MCER) acceleration, MCER-SS
for short and MCER-S1 for long periods, (Luco et al., 2007; Allen et al., 2015; Sengara et
al., 2020), and two design response spectral
acceleration, SDS and SD1, are four important values
calculated by the website facility software. However, no information related to
site coefficients Fa for short and Fv for long periods
can be obtained from the new website. Thus, these values can be calculated
using Equation 1 and Equation 2. All SDS, SS (MCER-SS),
SD1, and S1 (MCER-S1) values can be
obtained from the website.
To verify the Fa and Fv site
coefficients estimated using Equations 1 and 2, straight-line interpolation can
be conducted using the SS and S1 website calculations and
applying site coefficient (Fa and Fv) table data provided
by SNI 1726:2019. Fa and Fv are then estimated following
the procedure described by SNI 1726:2019. Equation 3 shows a simple formula for
Fa and Fv site coefficients calculation. Figure 1 shows a
diagram of the straight-line interpolation of the Fa and Fv
calculation. F and Mw represent the site coefficient to be estimated
and the MCER value obtained from the website, respectively; M1S
and M2S represent two boundary MCER values close to Mw;
F1S and F2S represent the site coefficients for M1S
and M2S, respectively; and M1S, M2S, F1S,
and F2S are the four values obtained from the SNI 1726:2019 tables.
Fa and Fv are estimated separately using Equation 3.
This paper describes the site coefficients and design
response spectral acceleration verification calculated using the website
facility and the straight-line interpolation described in SNI 1726:2019. The
objective of the study was to evaluate whether or not the website performed the
analysis following the same procedures used by SNI 1726:2019. The study was
performed in Semarang City, Indonesia, and conducted at 203 soil boring
investigation positions. The study was performed as part of seismic
microzonation research of the city. One of the important information
requirements for seismic microzonation is the development of soil amplification
or site coefficient distribution map at the study area. In this study, the
standard penetration test (N-SPT) data observed during boring investigation
were used for site class calculation.
All boring investigations in this study were conducted at a minimum
depth of 30 m and a maximum depth 60 m. The average standard penetration test
(N-SPT) of the topmost 30 m soil deposit layer (N30) of every boring
position was used for site soil class interpretation (Moghaddam, 2011; Partono et al., 2019; Syaifuddin et al., 2020). Figure 2a shows the 203 boring positions and the N30
distribution within the study area. Figure 2b shows the distribution of the
site soil classes developed based on the N30 data (Partono et al., 2021). The maximum N-SPT data obtained from the boring investigation was 60.
Following the procedure described by SNI 1726:2019, the N30 value
was estimated using Equation 4, where di and Ni represent
the thickness and N-SPT value of any soil layer “i", respectively.
The parameter that can
also be used for site interpretation is the average shear wave velocity (VS)
of the topmost 30 m soil deposit (VS30) (Naji et al., 2020). The VS30
value can be calculated using the same method as that shown in Equation 4 and
replacing the Ni value with VSi. The VS value
can be observed using seismic refraction multichannel analysis of surface waves
(MASW) or seismometer array investigations. Prakoso et al. (2017) described a
comparative study of VS value obtained from MASW investigation and
soil boring (N-SPT) data. The VS value developed using MASW was more
reliable compared to that developed based on the N-SPT data. Pramono et al. (2020) described the predominant frequency investigation at Lombok Island
following the 2018 earthquake event. The greater the VS30 value
used, the greater the predominant frequency obtained from the wavelet analysis
of the ground motion. Additionally, development of VS30 and
predominant frequency correlation was also conducted by Pramono et al. (2017) in the Palu area.
Figure 1 Straight-line interpolation for Fa and Fv calculations
(4)
Evaluations of site coefficients estimated using the website and straight-line interpolation methods were performed for 203 boring positions in Semarang City. No significant differences were found in the Fa and Fv site coefficients between the two methods. The largest difference in the Fa site coefficient calculations was observed for the SD and SE site classes. The difference in site coefficients for the SD and SE site soil classes was less than 0.03, while, for the SC site soil class, the difference was less than 0.01. In terms of site coefficient Fv, the largest difference was observed for the SD and SE site soil classes with a maximum of 0.04. However, the difference in site coefficient Fv for site class SC was less than 0.02. When calculating Fa and Fv site coefficients, the linear interpolation method from SNI 1726:2019 is better compared to the calculated using MCER-SS, MCER-S1, SDS, and SD1 values obtained from the website.
No significant differences in the design response spectral acceleration SDS and SD1 values were found for any of the site classes. The largest design response spectral acceleration difference in SD between the two methods was less than 0.02 g, while, for the SC and SE site classes, the differences were less than 0.005 g.
This study was funded by the Directorate Research and Community Service,
Deputy of Research Empowerment and Development, Ministry of Research and Technology/National Research Council and Innovation, through its 2021 research grant (Contract Number:
187-12/UN7.6.1/PP/2021). The authors also appreciate the Centre for Housing and
Settlement Research and Development for supporting data and information
collection during the development of this study.
Filename | Description |
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R2-CVE-4132-20210820110617.pdf | Supplementary File |
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