Site Soil Classification Interpretation Based on Standard Penetration Test and Shear Wave Velocity Data

被引:4
|
作者
Partono, Windu [1 ]
Asrurifak, Muhammad [2 ]
Tonnizam, Edy [3 ]
Kistiani, Frida [1 ]
Sari, Undayani Cita [1 ]
Putra, Kukuh Cahya Adi [1 ]
机构
[1] Diponegoro Univ, Engn Fac, Civil Engn Dept, Jalan Prof Soedarto SH, Semarang 50275, Indonesia
[2] Inst Sains & Teknol Nas, Fac Civil Engn & Planning, Jalan Moh Kaffi 2, Jagakarsa 12640, Jakarta Selatan, Indonesia
[3] Univ Teknol Malaysia, Fac Civil Engn, Ctr Trop Geoengn, Utm Johor Baru 81310, Johor, Malaysia
来源
关键词
bedrock; shear wave velocity; site factor; site soil classification; spectral acceleration; standard penetration pressure; SEISMIC MICROZONATION;
D O I
10.5614/j.eng.technol.sci.2021.53.2.6
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Site soil classification provides vital information for predicting the soil amplification or the site factor. The site factor is important for calculating the surface spectral acceleration in the seismic design of buildings. Based on the Indonesian seismic code, site soil classification can be conducted by calculating the average standard penetration (N-SPT) resistance, the average shear wave velocity (V-S) and the average undrained soil strength (S-u) of the upper 30 m of a subsoil layer. Different results may be obtained at the same location when the site soil classification is predicted using N-SPT than when using V-S data. The restriction of N-SPT values until a maximum of 60 compared to a V-S maximum of 750 m/sec can produce different soil classes and will directly impact the calculation of the surface spectral acceleration. This paper describes the different results of site soil classification prediction calculated using the average N-SPT and the average V-S, conducted at Semarang City, Indonesia. Site soil classification maps developed based on both datasets are also presented, to evaluate the different site soil classification distributions. Only soil classes SD and SE were observed using N-SPT maximum 60, whereas soil classes SC, SD and SE were observed using N-SPT maximum 120.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] Site-Specific Empirical Correlation between Shear Wave Velocity and Standard Penetration Resistance using MASW Method
    Tan, Chee-Ghuan
    Majid, Taksiah A.
    Ariffin, Kamar Shah
    Bunnori, Norazura Mohamad
    2012 IEEE COLLOQUIUM ON HUMANITIES, SCIENCE & ENGINEERING RESEARCH (CHUSER 2012), 2012,
  • [32] Soil classification based on unsupervised learning using cone penetration test data
    Zhang, Jinzhang
    Mao, Zhiyang
    Huang, Hongwei
    Zhang, Dongming
    GEOSHANGHAI INTERNATIONAL CONFERENCE 2024, VOL 8, 2024, 1337
  • [33] Experimental soil dynamic force: An improvement of Standard Penetration Test (SPT) interpretation
    Lukiantchuki, J. A.
    Bernardes, G. P.
    Esquivel, E. R.
    GEOTECHNICAL AND GEOPHYSICAL SITE CHARACTERIZATION 4, VOLS I AND II, 2013, : 865 - 872
  • [34] Development of Correlation Equations Between Shear Wave Velocity and Standard Penetration Test Values for Different Soil Types for DMDP Area of Bangladesh Using Multivariate Analysis
    Anika Tasmiah
    Mehedi Ahmed Ansary
    Indian Geotechnical Journal, 2023, 53 : 665 - 677
  • [35] Development of Correlation Equations Between Shear Wave Velocity and Standard Penetration Test Values for Different Soil Types for DMDP Area of Bangladesh Using Multivariate Analysis
    Tasmiah, Anika
    Ansary, Mehedi Ahmed
    INDIAN GEOTECHNICAL JOURNAL, 2023, 53 (03) : 665 - 677
  • [36] Development of an empirical correlation for predicting shear wave velocity of Christchurch soils from cone penetration test data
    McGann, Christopher R.
    Bradley, Brendon A.
    Taylor, Merrick L.
    Wotherspoon, Liam M.
    Cubrinovski, Misko
    SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2015, 75 : 66 - 75
  • [37] Characterization of Norwegian marine clays with combined shear wave velocity and piezocone cone penetration test (CPTU) data
    Long, Michael
    Donohue, Shane
    CANADIAN GEOTECHNICAL JOURNAL, 2010, 47 (07) : 709 - 718
  • [38] Evaluation and use of clustering algorithms for standard penetration test data classification
    Goktepe, A. Burak
    Altun, Selim
    Sezer, Alper
    AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING, 2015, 29 (01): : 55 - 64
  • [39] Seismic soil classification of Italy based on surface geology and shear-wave velocity measurements
    Forte, Giovanni
    Chioccarelli, Eugenio
    De Falco, Melania
    Cito, Pasquale
    Santo, Antonio
    Iervolino, Iunio
    SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2019, 122 : 79 - 93
  • [40] Reliability analysis of soil liquefaction based on standard penetration test
    Jha, Sanjay K.
    Suzuki, Kiichi
    COMPUTERS AND GEOTECHNICS, 2009, 36 (04) : 589 - 596