Geomechanics and Engineering

CONTENTS

Volume 37, Number 6, 2024

• Machine learning application to seismic site classification prediction model using Horizontal-to-Vertical Spectral Ratio (HVSR) of strong-ground motions

  Francis G. Phi, Bumsu Cho, Jungeun Kim, Hyungik Cho, Yun Wook Choo, Dookie Kim and Inhi Kim

  Abstract | Full Text (3K)

  pages 539-554.

  DOI: 10.12989/gae.2024.37.6.539

• Study on damage law and width optimization design of coal pillar with the discrete element method

  Chuanwei Zang, Bingzheng Jiang, Xiaoshan Wang, Hao Wang, Jia Zhou, Miao Chen and Yu Cong

  Abstract | Full Text (2K)

  pages 555-563.

  DOI: 10.12989/gae.2024.37.6.555

• Probabilistic earthquake risk consideration of existing precast industrial buildings through loss curves

  Ali Yesilyurt, Seyhan O. Akcan, Oguzhan Cetindemir and A. Can Zulfikar

  Abstract | Full Text (3K)

  pages 565-576.

  DOI: 10.12989/gae.2024.37.6.565

• Characteristics of S-wave and P-wave velocities in Gyeongju - Pohang regions of South Korea: Correlation analysis with strength and modulus of rocks and N values of soils

  Min-Ji Kim, Tae-Min Oh and Dong-Woo Ryu

  Abstract | Full Text (2K)

  pages 577-590.

  DOI: 10.12989/gae.2024.37.6.577

• Effect of the gravity on a nonlocal thermoelastic medium with a heat source using fractional derivative

  Samia M. Said

  Abstract | Full Text (2K)

  pages 591-597.

  DOI: 10.12989/gae.2024.37.6.591

• Theoretical analysis of erosion degradation and safety assessment of submarine shield tunnel segment based on ion erosion

  Xiaohan Zhou, Yangyang Yang, Zhongping Yang, Sijin Liu, Hao Wang and Weifeng Zhou

  Abstract | Full Text (3K)

  pages 599-614.

  DOI: 10.12989/gae.2024.37.6.599

• A novel dual stress/strain-controlled direct simple shear apparatus to study shear strength and shear creep of clay

  Chen Ge, Zhu Jungao, Wang Tao, Li Jian, Lou Qixun and Li Tao

  Abstract | Full Text (2K)

  pages 615-627.

  DOI: 10.12989/gae.2024.37.6.615

• Optimizing shallow foundation design: A machine learning approach for bearing capacity estimation over cavities

  Kumar Shubham, Subhadeep Metya and Abdhesh Kumar Sinha

  Abstract | Full Text (3K)

  pages 629-641.

  DOI: 10.12989/gae.2024.37.6.629