Evaluation of railway bridge foundations using spectral analysis of surface waves : a case study of the Den Chai-Chiang Rai-Chiang Khong double-track railway project

Name: Tawatchai Sangkhawilai

Organization : University of Phayao. School of Engineering, Department of Railway Engineering and Technology

Email : ts.engchula@gmail.com

Name: Damrong Amorndechaphon

Organization : University of Phayao. School of Engineering, Department of Railway Engineering and Technology

Name: Sompote Youwai

Organization : King Mongkut’s University of Technology Thonburi. Faculty of Engineering, Department of Civil Engineering

Name: Warat Kongkitkul

Organization : King Mongkut’s University of Technology Thonburi. Faculty of Engineering, Department of Civil Engineering

Name: Anurak Puengrostham

Organization : CH. Karnchang PCL. Track Doubling Project (Denchai – Chiang Rai – Chiang Khong Section), Department of Engineering and Technical

Name: Anat Hasap

Organization : Thailand Institute of Scientific and Technological Research (TISTR). Railway Transportation System Testing Center (RTCC)

LCSH: Surface waves (Oceanography) -- Spectral analysis

LCSH: Bridges -- Foundations and piers -- Testing

LCSH: Railroads -- Thailand -- Design and construction

LCSH: Shear waves -- Speed -- Measurement

Abstract: This study adapts the open-source MASWaves MATLAB framework, originally designed for multichannel analysis of surface waves, to process spectral analysis of surface waves (SASW) field data acquired using common receiver midpoint (CRMP) two-receiver geometry, and re-implements the complete workflow in Python. Three specific revisions were made: (1) substitution of the CRMP two-receiver architecture for the original multichannel array formulation with corresponding modifications to phase extraction, forward/reverse averaging, and wavelength masking; (2) Python re-implementation to eliminate proprietary software dependencies and enable full computational transparency; and (3) Monte Carlo stochastic inversion with LBFGS-B local refinement and explicit P10–P90 uncertainty quantification. The pipeline was applied to 13 bridge foundation test sites along the Den Chai–Chiang Rai–Chiang Khong double-track railway, classifying seven sites as reliable (RMS less than or equal to 5 percent), five as requiring verification, and one as exhibiting model instability (RMS = 101.7 percent). Interpreted high Vs layers at four borehole-referenced sites corresponded consistently with SPT refusal elevations, while empirical Vs–SPT correlations systematically underestimated stiffness in refusal-condition layers where interpreted Vs reached 1,277–1,500 m per s. The results demonstrate that the three revisions collectively transform a previously opaque multichannel processing tool into a transparent, auditable, and uncertainty-aware SASW assessment framework.

King Mongkut's University of Technology North Bangkok. Central Library

Address: BANGKOK

Email: library@kmutnb.ac.th

Created: 2569

Modified: 2026-09-03

Issued: 2026-09-03

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BibliograpyCitation : ใน วิศวกรรมสถานแห่งประเทศไทย ในพระบรมราชูปถัมภ์ และ มหาวิทยาลัยเทคโนโลยีราชมงคลรัตนโกสินทร์ สาขาวิชาวิศวกรรมโยธา คณะวิศวกรรมศาสตร์. การประชุมวิชาการวิศวกรรมโยธาแห่งชาติ ครั้งที่ 31 (NCCE 31) (GTE-60). นครปฐม : มหาวิทยาลัยเทคโนโลยีราชมงคลรัตนโกสินทร์

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