000 03564nas a2200385 a 4500
005 20260817163649.0
008 260209s20249999th u ms t 000 eng d
035 _a.b12474988
099 9 _aAIT Thesis no.GE-23-07
100 _aJenjira Chatimontri
245 1 0 _aAssessment of subsoil physio-mechanics properties using ERI (electrical resistivity image) and MASW (multichanal analysis of surface wave) for enhancing slope stability model :
_ban embankment failure case study of Ayuthaya soft clay, Thailand
260 _aPathum Thani, Thailand :
_bAsian Institute of Technology,
_c2024
300 _a113 leaves :
_bill.+
_e1 online resource
490 1 _aThesis ;
_vno. GE-23-07
500 _aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Geotechnical and Earth Resources Engineering
502 _aThesis (M. Sc.) - Asian Institute of Technology, 2024
520 _aThis thesis investigates the integration of Electrical Resistivity Imaging (ERI) and Multichannel Analysis of Surface Waves (MASW) to improve slope stability models, specifically addressing an embankment failure case in the soft clay of Ayutthaya, Thailand. The primary objectives are to obtain detailed subsurface characteristics and properties of the embankment using ERI and MASW techniques and to determine the failure mechanisms through enhanced slope stability modeling informed by data from these geophysical methods. Through comprehensive field investigations and geophysical surveys, ERI is utilized to map subsurface characteristics, providing valuable insights into site conditions. MASW is employed to obtain Young's modulus, crucial for numerical modeling using MIDAS GTS NX software. The research demonstrates that incorporating geophysical data, particularly Young's modulus from MASW, significantly improves the accuracy of numerical modeling. By integrating MASW-derived Young's modulus with reconstructed geometries, the final slope stability models exhibit enhanced predictive capabilities. This integration cnables a more comprehensive understanding of failure mechanisms and facilitates more accurate assessment of slope stability.The findings underscore the efficacy of ERI and MASW in characterizing subsurface properties and their importance in improving slope stability modeling accuracy. This research contributes to advancing geotechnical engineering practices, particularly in regions prone to embankment failures, by providing a robust methodology for integrating geophysical and geotechnical data to enhance slope stability assessments.
650 0 _aSlopes (Soil mechanics)
_xStability
_zThailand
_zAyuthaya
650 0 _aSlopes (Soil mechanics)
_xMathematical models
_zThailand
_zAyuthaya
650 0 _aEmbankments
_zThailand
_zAyuthaya
700 0 _aAvirut Puttiwongrak,
_eChairperson
700 1 _aChao, Kuo Chieh,
_eExamination Committee
700 0 _aTaweephong Suksawat,
_eExamination Committee
710 2 _aRoyal Thai Government Fellowship,
_eScholarship Donor
710 2 _aAIT Scholarships,
_eScholarship Donor
810 2 _aAsian Institute of Technology.
_tThesis ;
_vno. GE-23-07
856 4 0 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B23560
907 _a.b12474988
_bmnarc
_ca
902 _a260218
998 _b0
_c260217
_dm
_eh
_fa
_g0
945 _lmnarc
942 _c40
909 _aBarcode : 30050120421127
_bCREATED : 2026-09-02
_cRECORD # : i1357145x
_dLPATRON : 0
_eLCHKIN : -
_f# RENEWALS : 0
_g# OVERDUE : 0
_hIUSE3 : 0
_iTOT CHKOUT : 0
_jTOT RENEW : 0
999 _c9382
_d9382