Enhanced identification method for rational approximation models of unbounded soil to ensure stability in soil-structure interaction systems

Artificial boundary condition methods provide a simple and efficient approach for simulating wave propagation and dynamic behavior in unbounded soil for soil-structure interaction (SSI) analyses. While commonly used spring–dashpot boundaries are easy to implement, their neglect of frequency-dependent dynamics at the soil's truncated boundaries often limits accuracy. Dynamic impedance functions offer a more precise representation of these frequency-dependent effects. However, stable identification of rational approximation models for dynamic impedance remains a significant challenge in SSI systems. Recent studies reveal that even stable rational approximations of the soil alone may cause instability once coupled with the superstructure—an issue yet to be resolved. This study first presents a stability analysis method for SSI systems based on gain margin, uncovering that the instability of the coupled system arises from rational approximation model identification errors, which induce low-frequency negative damping. To counter this issue, we proposed an enhanced identification method, which introduces a frequency-domain optimization framework with positive phase constraints, effectively mitigating the negative damping and suppressing phase distortion while preserving model accuracy. The proposed method is validated through numerical simulations and time-domain analysis, demonstrating its ability to maintain the stability of SSI systems without compromising their physical fidelity. The proposed phase-constraint identification method addresses a critical gap in the stable modeling of semi-infinite soil systems and enhances the reliability of SSI simulations in earthquake engineering. • Developed a stability analysis method for soil–structure interaction with artificial boundaries using gain margin. • Revealed instability mechanism: identification errors in rational approximation introduce negative damping to soil. • Proposed a novel identification method ensuring stability and accuracy of soil–structure interaction simulations.

Authors

Publication Details

Journal
Soil Dynamics and Earthquake Engineering
Published
2025-08-18
DOI
https://doi.org/10.1016/j.soildyn.2025.109724
Citations
1
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
2.42

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhanced identification method for rational approximation models of unbounded soil to ensure stability in soil-structure interaction systems

Boxin Fu, Zhenyun Tang, Ryuta Enokida, Xiuli Du et al.
1 citations
Soil Dynamics and Earthquake Engineering
Landslides and related hazards
2.42
article

Enhanced identification method for rational approximation models of unbounded soil to ensure stability in soil-structure interaction systems

Boxin Fu, Zhenyun Tang, Ryuta Enokida, Xiuli Du, Haibo Liu
article en
1 citations

Abstract

Artificial boundary condition methods provide a simple and efficient approach for simulating wave propagation and dynamic behavior in unbounded soil for soil-structure interaction (SSI) analyses. While commonly used spring–dashpot boundaries are easy to implement, their neglect of frequency-dependent dynamics at the soil's truncated boundaries often limits accuracy. Dynamic impedance functions offer a more precise representation of these frequency-dependent effects. However, stable identification of rational approximation models for dynamic impedance remains a significant challenge in SSI systems. Recent studies reveal that even stable rational approximations of the soil alone may cause instability once coupled with the superstructure—an issue yet to be resolved. This study first presents a stability analysis method for SSI systems based on gain margin, uncovering that the instability of the coupled system arises from rational approximation model identification errors, which induce low-frequency negative damping. To counter this issue, we proposed an enhanced identification method, which introduces a frequency-domain optimization framework with positive phase constraints, effectively mitigating the negative damping and suppressing phase distortion while preserving model accuracy. The proposed method is validated through numerical simulations and time-domain analysis, demonstrating its ability to maintain the stability of SSI systems without compromising their physical fidelity. The proposed phase-constraint identification method addresses a critical gap in the stable modeling of semi-infinite soil systems and enhances the reliability of SSI simulations in earthquake engineering. • Developed a stability analysis method for soil–structure interaction with artificial boundaries using gain margin. • Revealed instability mechanism: identification errors in rational approximation introduce negative damping to soil. • Proposed a novel identification method ensuring stability and accuracy of soil–structure interaction simulations.

Soil Dynamics and Earthquake EngineeringVol. 199
National Natural Science Foundation of China, Japan Society for the Promotion of Science
Openalex Percentile: Top 10%
Landslides and related hazards
2.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.